ACL Wiki - User contributions [en]

Employment opportunities, postdoctoral positions, summer jobs

2019-08-09T23:10:05Z

ETSOC:

== Associate Research Scientist, Speech ; EDUCATIONAL TESTING SERVICE; Princeton New Jersey ==

Educational Testing Service (ETS), with headquarters in Princeton, NJ, is the world's premier educational measurement institution and a leader in educational research. With more than 3,400 global employees, we develop, administer and score more than 50 million tests annually in more than 180 countries at more than 9,000 locations worldwide. We design our assessments with industry-leading insight, rigorous research and an uncompromising commitment to quality so that we can help education and workplace communities make informed decisions.

ETS's Research & Development division has an opening for an associate research scientist in the Speech area of the NLP & Speech research center. The projects in this research group focus on the application of NLP, speech, dialogue, and multimodal processing algorithms in automated scoring capabilities for assessment and learning tasks involving constructed responses (such as essays and spoken responses). In addition to its signature automated scoring systems for text and speech assessments, the group is actively pursuing technology innovation in education and learning spaces by performing foundational research, prototyping next-generation capabilities, and collaborating with academic and industry partners. The NLP & Speech research group currently comprises around 20 PhD-level research scientists, 10 research engineers, and 10 research assistants and administrative staff.

This is an excellent opportunity to be part of a world-renowned research and development team and have a significant impact on existing and next-generation NLP, speech, dialogue, and multimodal systems and their use in educational applications.

Responsibilities:
* Conceptualizing, proposing, obtaining funding for, and directing small projects in the area speech processing for educational applications and assisting in moderate-to-major research projects.
* Assist in generating or contributing to new knowledge or capabilities in the field of speech processing and in applying that new knowledge and capabilities to existing and/or new ETS products and services. Some speech processing research areas that are relevant to ETS R&D include (but are not limited to) automatic speech recognition for non-native speakers of English, voice biometrics, computer-assisted pronunciation training, and automated speech scoring.
* Participate in setting substantive research and development goals and priorities for a group or initiative within a vice presidential area.
* Develop proposals and budgets for small projects and/or assist in development for moderate-to-major ones.

Requires:
* Ph.D. in Computer Science, Computational Linguistics, Electrical Engineering, Natural Language Processing, Linguistics, or a similar area with major education in speech processing.
* At least one year of independent substantive research experience in speech processing is required. Experience can be gained through doctoral studies.
* Practical expertise with speech processing tools (e.g., kaldi), experience with machine learning toolkits (e.g., Weka, scikit-learn), and fluency in at least one major programming language (e.g. Java, Python).
* Practical experience with deep learning paradigms and toolkits (e.g., TensorFlow, pytorch, Keras) is highly desirable.
* Documented contributions to research communities and a strong publication record and experience I system building and prototyping are preferred.
We offer a competitive salary, comprehensive benefits, possible relocation assistance and excellent opportunities for professional and personal growth. For a full list of position responsibilities and to apply please visit the following link: Associate Research Scientist, Speech https://etscareers.pereless.com/index.cfm?fuseaction=83080.viewjobdetail&JID=290092&BUID=2538&cid=83080

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of Women and Minorities.

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of protected Veterans and Individuals with Disabilities.

EDUCATIONAL TESTING SERVICE is a Drug-free workplace.

Apply Here: http://www.Click2Apply.net/bk2nyzrv9cwpqgdr

PI112670813

== Full-Time Research Engineer, New York University ==

* Employer: New York University

* Title: Research Engineer

* Specialty: Open-source software, pretraining and transfer learning

* Location: New York, USA

* Deadline: July 31, 2019 (deadline for full consideration, late applications may be accepted)

* Date posted: July 17, 2019

* Contact: Sam Bowman <bowman@nyu.edu>

'm hiring a full-time research engineer. If you're interested in transitioning from software engineering to NLP/ML research, and you'd be up for a stint in an academic lab, there's more information and an application from here: https://apply.interfolio.com/65666

== PhD in Biomedical Information Extraction, The University of Manchester, UK ==

* Employer: University of Manchester

* Title: PhD in Biomedical Information Extraction

* Specialty: Natural Language Processing, Text Mining, Machine Learning

* Location: Manchester, UK

* Deadline: May 26, 2019

* Date posted: May 10, 2019

* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

The National Centre for Text Mining (http://www.nactem.ac.uk), School of Computer Science in collaboration with the Faculty of Biology, Medicine and Health, The University of Manchester, offer a PhD scholarship to advance research in neural information extraction applied to cancer mechanisms.

Candidates must have a minimum upper second class first degree in Computer Science and an MSc in Computer Science or a related discipline. Experience in machine learning and neural networks applied to NLP are highly desirable, as is the ability to work in an interdisciplinary setting.

Further information can be obtained here: http://nactem.ac.uk/newsitem.php?item=393

== PhD in Biomedical Information Extraction, The University of Manchester, UK ==

* Employer: University of Manchester

* Title: PhD in Biomedical Information Extraction

* Specialty: Natural Language Processing, Text Mining, Machine Learning

* Location: Manchester, UK

* Deadline: May 26, 2019

* Date posted: May 10, 2019

* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

The National Centre for Text Mining (http://www.nactem.ac.uk), School of Computer Science in collaboration with the Faculty of Biology, Medicine and Health, The University of Manchester, offer a PhD scholarship to advance research in neural information extraction applied to cancer mechanisms.

Candidates must have a minimum upper second class first degree in Computer Science and an MSc in Computer Science or a related discipline. Experience in machine learning and neural networks applied to NLP are highly desirable, as is the ability to work in an interdisciplinary setting.

Further information can be obtained here: http://nactem.ac.uk/newsitem.php?item=393

== 24-month Postdoctoral Position, IRISA (France, Lannion), Paraphrase Generation / Natural Language Generation ==

* Employer: [https://www.univ-rennes1.fr/ University of Rennes 1]

* Title: Postdoctoral Researcher

* Specialty: Natural language processing

* Duration: 24 months

* Location: Lannion, France

* Deadline: until filled

* Date posted: April 23, 2019

* Contact: Gwénolé Lecorvé (gwenole.lecorve@irisa.fr), Jonathan Chevelu (jonathan.chevelu@irisa.fr)

'''Overview'''

IRISA [https://www.irisa.fr/] is the largest research laboratory dedicated to computer science in France, hosting more than 800 people and 40 research teams. Its activities spans all the fields of computer science. It is located in Rennes, Lannion, and Vannes.

The Expression team [https://www-expression.irisa.fr/] works on natural language processing (NLP), be it through texts, speech or gestures. In particular, it focuses on the expressive components of the human languages.

The opened position is part of the ANR TREMoLo project [http://tremolo.irisa.fr] hosted by the team and aimed at transforming the language register of texts, for instance mapping a text from the formal register to the casual one. This involves work on linguistic characterization, pattern mining and paraphrase generation. The activities are conducted on the French language.

The recruited person will work on a paraphase generation and propose solution to integrate register-specific stylistic constraints. She/he is expected to investigate on the use of statistical and neural paraphrasing systems, that is:

* Training of a baseline systems using either statistical or neural approaches.

* Intregration of constraints formulated as sequential patterns.

* Organization of evaluation campaigns.

'''Job requirements'''

* PhD in natural language processing or machine learning

* Top academic and publication records

* Good communication skills

* Team work experience

* Knowledge in French is a plus but is not required.

== Postdoctoral Position Available in Natural Language Processing and Human-Robot Interaction, Army Research Lab ==

* Employer: [https://www.orau.org/arlfellowship/ US Army Research Laboratory]

* Title: Postdoctoral Researcher

* Specialty: Natural language processing, human-robot interaction, dialogue systems

* Location: Adelphi, Maryland, United States with ~8 weeks of travel per year to Boston

* Deadline: April 30, 2019 (or until filled)

* Date posted: April 15, 2019

* Contact: Matthew Marge (matthew.r.marge.civ@mail.mil)

'''Overview'''

The [https://www.arl.army.mil US Army Research Laboratory] (ARL) is welcoming applications for a one-year renewable (up to 3 years) postdoctoral position at the intersection of natural language processing (NLP) and human-robot interaction (HRI), focusing on dialogue with robots. The successful candidate will contribute to the research and development of the project, “Learning about the Physical World Autonomously through Information-Theoretic Dialogue”, funded by the Office of the Secretary of Defense's Laboratory University Collaboration Initiative (LUCI) Fellowship. The goal of the project is to investigate techniques for robots to learn, from natural language dialogue, about objects and actions in the physical world.

In support of this effort, ARL is looking for an individual with a PhD or equivalent experience, with interest and a background in human-robot interaction, natural language processing, symbol grounding, and/or dialogue systems. We plan to develop an approach to detecting uncertainty about objects and actions using multiple modalities (e.g., language and vision), so that robots can initiate natural language questions that humans can answer that maximize the agent's information gain in a situation.

The project is supervised by Dr. Matthew Marge (ARL), with co-PI Dr. Gordon Briggs (NRL), and faculty collaborator Prof. Matthias Scheutz (Tufts University). The successful candidate will collaborate with the PIs on designing human-robot interaction experiments and developing techniques to support human-robot dialogue systems.

The position is available immediately with a duty station at the Adelphi Laboratory Center (ALC), Adelphi, MD (Washington, D.C. metro area), with extended travel (~8 weeks per year) to Boston, MA to visit the Human-Robot Interaction Lab at Tufts University and periodic travel to the Laboratory for Autonomous Systems Research at the Naval Research Laboratory, Washington, D.C.

'''Job requirements:'''

* Ph.D. or equivalent research experience in computer science, artificial intelligence, computational linguistics, human-robot interaction, computer engineering or related field.

* U.S. citizenship is preferred.

To learn more about this position, or to apply, please send questions or a CV to Dr. Matthew Marge at matthew.r.marge.civ@mail.mil.

== Associate Research Scientist in Natural Language Processing, UKP Lab, TU Darmstadt ==

* Employer: [https://www.informatik.tu-darmstadt.de/ukp/ukp_home/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany

* Title: Associate Research Scientist

* Specialty: Natural Language Generation, Semantics and Discourse Processing, Multi-document Information Consolidation

* Location: Darmstadt

* Deadline: April 30, 2019 (or until filled)

* Date posted: April 12, 2019

* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The [https://www.informatik.tu-darmstadt.de/ukp/ukp_home/ Ubiquitous Knowledge Processing (UKP) Lab] at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

'''Associate Research Scientist''' 

'''(PhD-level; for an initial term of two years)'''

This position should further strengthen the group’s profile in one or more areas of Natural Language Processing (NLP), such as natural language generation, semantics and discourse processing, or multi-document information consolidation.

UKP Lab is a research group comprising over 30 team members who work on various aspects of data-driven NLP and machine learning with their novel applications in various domains, e.g. conversational IR systems, scientific literature analysis, or social media mining.

We ask for applications from candidates in Computer Science with a specialization in Natural Language Processing or Text Mining, preferably with prior expertise in the relevant areas of computer science and strong programming skills. Experience with neural network architectures and demonstrable engagement in open source projects are strong advantages. Strong communication skills in English are a must.

UKP’s provides an excellent cooperation network with both top academic and industrial partners in Artificial Intelligence (AI), and a supportive research environment within the lab. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique profile around AI and the DFG-funded Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) emphasize NLP, machine learning, and scalable infrastructures for the assessment and aggregation of information. UKP Lab is a high-profile research group committed to cutting-edge research, dynamic operations, cooperative work style and close interaction of team members. The selected candidates will have an opportunity for professional growth according to their seniority level.

Applications should include a detailed CV, a motivation letter and an outline of previous work or research experience (if available).

Applications from women are particularly encouraged.

All other things being equal, candidates with disabilities will be given preference.

Please submit your application via the following form by April 30th, 2019: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment.

The position is open until filled.

== Senior Research Scientist - Natural Language Processing at Bosch Research ==

* Employer: Bosch Research

* Title: Senior Research Scientist (Principal level position also available)

* Specialties: Natural language processing, natural language understanding, information retrieval, question answering, information extraction.

* Location: Sunnyvale, CA, USA

* Deadline: N/A (The position is open until filled)

* Date Posted: March 7, 2019

* Website: http://smrtr.io/_cXw

'''Company Description'''

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design. In all areas we work in close collaboration with our partners at leading US universities, leading-edge industry partners, and other worldwide Bosch research, development, and marketing units.

The focus of our global HMI research includes Visual Computing, Audio and Language Computing, Conversational AI, Smart Wearables and Haptics, User Experience (UX) and Human Factors, etc. We develop intuitive, interactive and intelligent solutions to enable an inspiring UX for Bosch products and services in application areas such as autonomous driving, car infotainment and driver assistance systems (ADAS), Industry 4.0 and Internet of Things (IoT), security systems, smart home and building solutions, health care, and robotics.

As a part of the global Human Machine Interaction research unit, our Language and Audio Computing group is responsible for shaping the future user experience of Bosch products by developing cutting-edge technologies and prototype systems in the fields of text and audio processing, including natural language processing, natural language understanding, question answering, information retrieval, and audio signal processing. We work on solutions to hard challenges of truly understanding the human language and audio signals, extracting the semantics from text and audio, and enabling natural, intuitive and intelligent HMI and personal assistance. We work with internal partners at various Bosch business units to transfer our ideas and solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals, e.g., ACL, EMNLP, NAACL, COLING, AAAI, ISWC, Interspeech, ICASSP

'''Job Description'''

* Drive advanced research and engineering of Natural Language Processing (NLP) technologies

* Apply research results to Bosch prototypes, products and services of information retrieval, question answering, conversational AI, and information extraction.

* Working together with Bosch business units to integrate the resulting system/software into Bosch platform with high quality implementation

* Summarize research findings in high-quality paper and/or patent submissions

== Natural Language Processing Research Associate (KTP Associate) in Wilmslow, Cheshire, UK ==

* Employer: University of Manchester

* Title: Natural Language Processing Research Associate (KTP Associate)

* Specialty: Natural Language Processing, Text Mining, Machine Learning

* Location: Wilmslow, Cheshire, UK

* Deadline: April 7, 2019

* Date posted: March 7, 2019

* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

An exciting opportunity has arisen for an ambitious graduate who has the ability and confidence to undertake a Knowledge Transfer Partnership (KTP) project between the National Centre for Text Mining (NaCTeM), University of Manchester and Bott and Co.

Bott and Co is a multiple award-winning solicitors based in Wilmslow, near Manchester, with particular expertise in flight delay compensation, holiday sickness and road traffic accident claims.

The successful KTP associate will work with supervisors from both NaCTeM and Bott on a 30 month project, which has the overall aim of building a state-of-the-art Natural Language Processing (NLP) system for legal text mining and predictive modelling (PM).

The position will provide you with a unique opportunity to apply state-of-the-art methods in NLP and PM in the scope of legal analysis.

This post is funded through a Knowledge Transfer Partnership (KTP) award, a UK Government scheme intended to promote sustained and mutually beneficial relationships between universities and industry.

ESSENTIAL SKILLS

* BSc and MSc degree in Computer Science or related areas

* Specialist (PhD-level) knowledge in Natural Language Processing or extensive experience in the development of NLP/text analysis software

* Experience in use of deep learning for NLP/text mining

* Experience of machine learning (especially of context aware linear models for multi-task learning, and of active learning) for NLP/text mining

* Experience of probabilistic inference, predictive modelling and decision making

* Software development experience in Java or Python

LOCATION - Bott and Co, Wilmslow, Cheshire

SALARY - £32,236 to £39,609 per annum plus performance bonus and £5,000 personal development budget

DURATION - 30 months - starting ASAP

CLOSING DATE - 07/04/2019

FURTHER DETAILS AND APPLICATION FORM - https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16973

== Postdoc position, KU Leuven ==

*Employer: Department of Computer Science, KU Leuven

*Title: Postdoctoral Researcher

*Speciality: Representation learning in the context of natural language understanding

*Location: Leuven, Belgium

*Deadline: February 28, 2019

*Date posted: February 13, 2019

*Contact: sien.moens@cs.kuleuven.be

We offer a two-year postdoctoral position (extendable to four years) funded by the ERC (European Research Council) Advanced Grant CALCULUS “Commonsense and Anticipation enriched Learning of Continuous representations sUpporting Language UnderStanding” (http://calculus-project.eu). The position focuses on natural language understanding but gives possibilities to research topics in one or more of the following fields: machine learning (especially semi-supervised learning, transfer learning, incremental learning, deep learning and latent variable models), multimodal processing of language and visual data, learning the grounded meaning of language from various contexts in which language is used (e.g., physical, language and social), representation learning at the word, phrase, sentence or discourse level considering various contexts, learning commonsense knowledge about the world from multimodal data, multimodal grammar induction, and inference models for language understanding. The successful candidate will work on innovative natural language understanding research. He or she will be given the opportunity for personal development beyond research, for example by contributing to teaching (e.g., at the undergraduate and graduate levels). For an outstanding candidate there is the potential to grow into an assistant professorship.

KU Leuven ranks among the top 50 universities in THE World University Rankings 2019. The alumni of the LIIR lab have obtained outstanding positions in academics and industry (see https://liir.cs.kuleuven.be/people.php).

'''Responsibilities'''

*Perform research in language understanding and novel machine learning paradigms in the frame of the CALCULUS project.

*Carry out some teaching duties, which may include lectures/exercise sessions, the organization of student seminars, and the supervision of bachelor and master theses.

*Help in the supervision of PhD researchers of the CALCULUS team.

'''Profile'''

*You have (or are near completion of) a PhD in Computer Science (or a related field).

*You have a motivated interest in fundamental research in language understanding and machine learning.

*You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in relevant journals with high impact factor.

*You are good at collaborating with and leading others.

*You have a very good knowledge of English, both spoken and written.

'''Offer'''

*We offer a 2 x two-year postdoctoral position, starting in the summer of 2019.

*We offer a competitive wage and yearly budget to attend conferences and for short research stays.

'''Interested'''

Please contact Prof. dr. Marie-Francine Moens, tel.: +32 16 32 53 83, mail: sien.moens@kuleuven.be.

Excellent candidates will be invited for an interview (possibly via Skype). The position will be closed when a valuable candidate is found.

== Postdoc position, Masaryk University ==

*Employer: Machine Learning and Data Processing Department, Faculty of Informatics, Masaryk University

*Title: Postdoctoral Researcher

*Speciality: natural language processing, knowledge representation and reasoning

*Location: Brno, Czech Republic

*Deadline: March 1, 2019

*Date posted: January 15, 2019

*Contact: Ales Horak: hales@fi.muni.cz, subject "Postdoc 2019"

*Application link: https://www.muni.cz/en/about-us/careers/vacancies/43809

The Faculty of Informatics of Masaryk University (FI MU) in Brno, Czech Republic, invites applications for Post-doctoral positions in all areas of Computer Science. Brno, the second largest city in the Czech Republic, see https://www.gotobrno.cz/en/, is an attractive city for students and young researchers. The Faculty has a strong interest in attracting applications from abroad.

The postdoctoral positions are awarded for one year with an extension to the second year after a review. Gross salary is 50,000 CZK per month which, with an optional 10% bonus, sums to more than 25,500 EUR per year. Additional funds of 4,000 EUR per year will be available for travel and material expenses. Preferred start date of the contract is in June/July 2019, but other options can be negotiated without hassle.

'''Requirements'''

Candidates must have a PhD degree not older than 4 years at the time of application, from a university outside of the Czech and Slovak Republics. In case that the PhD defense is not yet finished, the candidate must also provide an official letter certifying that his/her PhD thesis has already been submitted for defense and outlining the expected schedule of the PhD defense. Candidates with a PhD degree from a Czech or Slovak university may also be considered if they prove at least two years of post-doctoral research experience abroad.

'''Evaluation'''

All candidates are expected to be fluent in English, while prior knowledge of Czech is not required. Candidates will be evaluated on the ground of their strong international research record, and preference will be given to those whose research areas match the research directions of the Faculty of Informatics; see http://www.fi.muni.cz/research/.

'''Application'''

Applications must be submitted electronically at the attached www address - the electronic application form (only reference letters, if not given directly to the applicant, may be sent by email). The applicants should provide the following documents with their application:

*An academic CV, a list of publications, and a motivation letter.

*A scanned copy of the PhD diploma, or a letter certifying submission of doctoral thesis for the defense.

*One external reference letter, and one support letter (expression of interest) from a member of the academic staff of the Faculty of Informatics of Masaryk University. These letters, if cannot be attached by the applicant him/herself, may be sent to the e-mail address hales@fi.muni.cz.

All interested applicants are strongly advised to informally contact their expected host research groups at the Faculty of Informatics well ahead of submitting their application.

'''Contact'''

Assoc.Prof. Ales Horak, Head of the Department of Machine Learning and Data Processing

Submission of applications: https://www.muni.cz/en/about-us/careers/vacancies/43809

E-mail (for inquiries and reference letters): hales@fi.muni.cz, subject "Postdoc 2019"

== Two postdoctoral positions, University of Pittsburgh ==

*Employer: The Computational Social Dynamic Lab, University of Pittsburgh

*Title: Postdoctoral Research Associate

*Speciality: computational social science, NLP, machine learning.

*Location: Pittsburgh, PA, USA

*Deadline: January 15, or until position filled

*Date posted: December 06, 2018

*Contact: Yu-Ru Lin (email: <yuruliny@gmail.com> | web: http://yurulin.com | lab: https://picsolab.github.io/)

The Computational Social Dynamic (PICSO) Lab at the University of Pittsburgh is seeking two postdoctoral research associates for a computational social science project under the mentorship of Dr. Yu-Ru Lin and Dr. Rebecca Hwa. This highly interdisciplinary project aims to advance research methodology in revealing biases of different groups or cultures by analyzing social media data with cutting-edge methods of natural language processing and machine learning. The duration of the position is for one year, with the possibility of renewal. The compensation is competitive.

We welcome candidates who hold a PhD from a related background, including computational social science, computer science, computational linguistics, social psychology, sociology, political science, and applied mathematics. Particular priorities for hiring are: (1) knowledge and experiences in distributed semantic representation, sentiment analysis, and text mining methods, ideally demonstrated by publications in established venues (ACL, EMNLP, NIPS, ICML, KDD, etc.); (2) demonstrated ability to work with social media data; (3) prior experiences with computational social sciences a plus.

For full consideration, candidates should submit the following materials electronically '''''as a single PDF file''''' to Dr. Yu-Ru Lin at <yuruliny@gmail.com>:

# A brief statement of interest describing your relevant background

# Current CV

# The names and contact information for two references (letters of recommendation will be solicited from finalists)

# Two publications or other writing samples

Please include "PostDoc Application 2019" in the email subject line.

== Research Scientist Interns at Adobe Research, San Jose, California ==

*Employer: Adobe Systems Incorporated

*Title: Research Scientist Intern

*Speciality: NLP, machine learning, dialog, and question answering.

*Location: San Jose, CA, USA

*Deadline: March 1, 2019

*Date posted: December 06, 2018

*Contact: bui@adobe.com

We are looking for Master and/or Ph.D. students with a strong background in NLP, machine learning, dialog, and/or question answering to work on our Creative Assistant project and Document Question Answering project. See our recent publications here for further details: https://sites.google.com/site/trungbuistanford/Home/publications

== Assistant Professor Position at The University of Memphis ==

* Employer: University of Memphis

* Rank or Title: Assistant Professor

* Specialty: ML/NLP with particular interest in educational technologies

* Location: Memphis, Tennessee

* Deadline: 1/7/19 but applications accepted until search completed

* Date Posted: 11/28/18

* Contact email: cconnor2@memphis.edu

* Application link: [https://workforum.memphis.edu/postings/20504]

The Department of Computer Science at the University of Memphis is seeking candidates for an Assistant Professor position beginning Fall 2019. The candidate’s research will be jointly supported by the Department of Computer Science and the Institute of Intelligent Systems (IIS). Focus area for this position include Machine Learning, Data Mining, and Big Data. Candidates whose research areas complement the language & discourse or learning focus area of the IIS are particularly encouraged to apply. Candidates from minority and underrepresented groups are highly encouraged to apply. Successful candidates are expected to develop externally sponsored interdisciplinary research programs, teach both undergraduate and graduate courses and provide academic advising to students at all levels.

Applicants should hold a PhD in Computer Science, or related discipline, and be committed to excellence in both research and teaching. Salary is highly competitive and dependent upon qualifications.

The Department of Computer Science ([http://www.cs.memphis.edu]) offers B.S., M.S., and Ph.D. programs as well as graduate certificates in Data Science and Information Assurance, and participates in an M.S. program in Bioinformatics (through the College of Arts and Sciences). The Department has been ranked 55th among CS departments with federally funded research. The Department regularly engages in large-scale multi-university collaborations across the nation. For example, CS faculty led the NIH-funded Big Data "Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K)" and the "Center for Information Assurance (CfIA)".

The Institute for Intelligent Systems consists of 54 faculty members across 14 departments including Communication Sciences and Disorders, Computer Science, Engineering, Education, Linguistics, Philosophy and Psychology. The IIS offers a graduate certificate in Cognitive Science, a minor in Cognitive Science, and is affiliated with BA and MS programs in other departments. The IIS receives $4-5 million in external awards per year from federal agencies such as NSF, IES, DoD, and NIH. Further information about the Institute for Intelligent Systems can be found at [http://iis.memphis.edu].

Known as America’s distribution hub, Memphis ranked as America’s 6th best city for jobs by Glassdoor in 2017. Memphis metropolitan area has a population of 1.3 million. It boasts a vibrant culture and has a pleasant climate with an average temperature of 63 degrees.

Screening of applications begins immediately. For full consideration, application materials should be received by January 7, 2019. However, applications will be accepted until the search is completed.

To apply, please visit [https://workforum.memphis.edu/postings/20504]. Include a cover letter (please include a reference to this position as “CS-IIS”), curriculum vitae, statement of teaching philosophy, research statement, and three letters of recommendation. Direct all inquiries to Corinne O’Connor (cconnor2@memphis.edu).

A background check will be required for employment. The University of Memphis is an Equal Opportunity/Equal Access/Affirmative Action employer committed to achieving a diverse workforce.

== Research Associate in Text Mining, University of Manchester, UK ==

* Employer: University of Manchester

* Title: Research Associate in Text Mining

* Specialty: Text Mining

* Location: Manchester, UK

* Deadline: January 3, 2019

* Date posted: November 27, 2018

* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

We invite applications for the Research Associate in Text Mining, which is tenable initially for 12 months starting as soon as possible. The post is part of the Discovering Safety Programme funded by Lloyds Register Foundation in collaboration with the Health and Safety Executive. The purpose of this project is to use a combination of text mining and machine learning methods for retrieving and organising textual information pertinent to incident and inspection reports for search and risk classification.

Post Objectives:

1. To develop a search system based on clustering methods.

2. To contribute to development of entity linking for the application.

3. To develop a classification system for risk assessment.

You should have a PhD or equivalent in Computer Science with emphasis in Text Mining and Machine Learning in particular clustering and classification. Experience in named-entity recognition, entity linking and terminology extraction will be desirable. Appropriate security clearance may be required for the successful applicant.

* Salary : £32,236 - £39,609 per annum according to experienc

* Hours Per week: Full Time

* Contract Duration : 01 February 2019 until 31 January 2020

Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16445

== Research Fellow in Natural Language Processing and Text Mining, University of Manchester, UK ==

* Employer: University of Manchester

* Title: Research Fellow in Natural Language Processing and Text Mining

* Specialty: Text Mining

* Location: Manchester, UK

* Deadline: January 3, 2019

* Date posted: November 23, 2018

* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

We invite applications for the above position to increase the University of Manchester's capacity in Natural Language Processing and Text Mining, which is available immediately for an initial 5 year period leading to an open-ended academic position.

The Research Fellow will further strengthen the research profile of the text mining research group at the University of Manchester and the National Centre for Text Mining. We are looking for an outstanding candidate that has a vision for making a significant impact on natural language processing, text mining research and its applications. The Fellow will be part of the Discovering Safety Programme project funded by Lloyds Register Foundation in collaboration with the Health and Safety Executive. This post is one of the key first posts to be appointed in the Thomas Ashton Institute for Risk and Regulatory Research.

You will join the vibrant research environment of the Text Mining research group at the School of Computer Science and will be a member of the National Centre for Text Mining which is developing cross cutting and innovative approaches for text mining applications using NLP and machine learning.

As a member of the Thomas Ashton Institute, the Fellow will join, and help establish, a multidisciplinary centre of excellence and expertise, which offers an exciting opportunity for ground breaking and excellent research to inform both government regulatory regimes and industry practice.

* Salary : £40,792 to £50,132 per annum dependent upon experience

* Hours Per week: Full Time

* Contract Duration : Starting Immediately until 31 December 2023

Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16448

== Associate Research Scientist, UKP Lab, TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany

* Title: Associate Research Scientist

* Specialty: Interactive Text Analysis and Natural Language Processing Tools

* Location: Darmstadt

* Deadline: December 15, 2018 (or until filled)

* Date posted: November 22, 2018

* Contact: https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/

The [https://www.ukp.tu-darmstadt.de/ Ubiquitous Knowledge Processing (UKP) Lab] at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

'''Associate Research Scientist''' 

'''(PhD-level; for an initial term of two years)'''

to strengthen the group’s profile in the areas of ''Interactive Text Analysis'' and ''Natural Language Processing Tools''. The UKP Lab is an internationally recognized research institute with about 35 team members. We work on various aspects of ''Natural Language Processing'' (NLP), with a rapidly developing focus on Interactive Machine Learning. Besides, we provide a range of high-quality open source software packages for interactive and automatic text analysis to research and industry communities and collaborate with both academic and industrial partners.

We ask for applications from candidates in Computer Science with a specialization in Semantic Web Technologies and either Information Retrieval or Natural Language Processing, preferably with expertise in research and development projects, and strong communication skills in English and German.

The successful applicant will work on research and development for interactive text annotation by end-users (researchers, analysts, etc.). This includes neural network-based methods for knowledge graph construction and completion, interactive sequence labeling recommender systems, or semantic information retrieval. We integrate the results in a real-life collaborative text annotation software for large-scale interactive corpus analysis.

Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP and/or ML) systems (frontend and backend), in applying NLP-related Machine Learning-based methods (e.g. learning-to-rank, clustering, etc.), experience with information retrieval systems (e.g. Lucene, Solr, ElasticSearch) and relational databases (SQL), semantic web technologies (e.g. RDF, OWL, SPARQL), and strong programming skills especially in Java. Experience with neural network architectures (e.g. knowledge-base embeddings) and demonstrable engagement in open- source projects are a strong plus.

UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research focus "Data Science” and the Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasize NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals. In 2018, Darmstadt has achieved the first place in the category Cities of the Future in a ranking of German cities.

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please apply under https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/ by December 15, 2018. The positions are open until filled. Later applications may be considered if the position is still open.

== Associate Research Scientist, UKP Lab, TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany

* Title: Associate Research Scientist

* Specialty: Natural language processing

* Location: Darmstadt

* Deadline: December 15, 2018 (or until filled)

* Date posted: November 22, 2018

* Contact: https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/

The [https://www.ukp.tu-darmstadt.de/ Ubiquitous Knowledge Processing (UKP) Lab] at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

'''Associate Research Scientist''' 

'''(PhD- or (Senior-)PostDoc level; for an initial term of two years)'''

The UKP Lab is an internationally recognized research institute with about 35 team members. We work on various aspects of ''Natural Language Processing'' (NLP), with an emphasis on semantic text analysis and generation, argument mining, and interactive machine learning. Besides, we have a strong profile in deep learning for NLP, construction of large-scale benchmarks, or knowledge graphs. We collaborate with a wide range of both academic and industrial partners.

We are looking for candidates in Computer Science with a specialization in Natural Language Processing, preferably with expertise in research and development projects, prior publication experience, and strong communication skills. The research topics of the position may include: NLP in low-research settings, argument mining and retrieval, multimodal content processing, privacy-enhanced NLP as well as machine learning for NLP (deep reinforcement learning, neural network architectures). The successful applicant will work on research and development as part of a team in one of the areas above. We disseminate the results in top venues of the field and as free research software and datasets. The lab offers highly attractive options for personal growth and career development at all levels of the scientific career. Upon interest, additional qualifications in teaching and project management can be acquired.

UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research focus "Data Science” and the Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasize NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals. In 2018, Darmstadt has achieved the first place in the category Cities of the Future in a ranking of German cities.

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please apply under https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/ by December 15, 2018. The positions are open until filled. Later applications may be considered if the position is still open.

== Assistant Professor, Department of Linguistics and Translation, University of Montreal ==

* Employer: Department of Linguistics and Translation, University of Montreal

* Title: Assistant Professor (tenure-track)

* Specialty: Computational linguistics

* Location: Montreal, Canada

* Deadline: December 13, 2018

* Date posted: November 10, 2018

* Contact: Mireille Tremblay <mireille.tremblay.4@umontreal.ca > and https://ling-trad.umontreal.ca

The Département de linguistique et de traduction is seeking applications for a full-time tenure-track position at the rank of Assistant Professor in computational linguistics/natural language processing.

Responsibilities

The appointed candidate will be expected to teach at all three levels of the curriculum, supervise graduate students, engage in ongoing research and publication, and contribute to the academic life and reputation of the University. This person will play an important role in the development of the “Computational Linguistics” branch of our curriculum and in establishing cross-disciplinary collaborations within and outside of the University.

Requirements

* Ph.D. in linguistics, computer science, or a related field.

* Education in both linguistics and computer science, with a strong background in core linguistics.

* Demonstrated interest in using computational techniques in the study of language.

* Ability to teach in at least one of the core domains of linguistics.

* Excellent publication track record in computational linguistics.

* University teaching experience.

* Sufficient knowledge of written and spoken French.

Deadline: until December 13, 2018 inclusively

Treatment: Université de Montréal offers competitive salaries and a full range of benefits.

Starting date: On or after August 1st, 2019

Application

The application must include the following documents:

* a cover letter

* a curriculum vitæ

* copies of recent publications and research

Three letters of recommendation are also to be sent directly to the department chair by the referees.

Application and letters of recommendation must be sent to the chair of the Département de linguistique et de traduction at the following address:

Mireille Tremblay, directrice 

Département de linguistique et de traduction 

Faculté des arts et des sciences 

Université de Montréal 

C.P. 6128, succursale Centre-ville 

Montréal (QC) H3C 3J7 

Canada

Application and letters of recommendation may also be sent by email at the following address: mireille.tremblay.4@umontreal.ca

For more information about the Department, please consult its website at http://ling-trad.umontreal.ca

Université de Montréal is a Québec university with an international reputation. French is the language of instruction. To renew its teaching faculty, the University is intensively recruiting the world’s best specialists. In accordance with the institution’s language policy, Université de Montréal provides support for newly-recruited faculty to attain proficiency in French.

The Université de Montréal application process allows all regular professors in the Department to have access to all documents unless the applicant explicitly states in her or his cover letter that access to the application should be limited to the selection committee. This restriction on accessibility will be lifted if the applicant is invited for an interview.

Through its Equal Access Employment Program, Université de Montréal invites women, Aboriginal people, visible and ethnical minorities, as well as persons with disabilities to apply. During the recruitment process, our selection tools will be adapted to meet the needs of people with disabilities who request it. Be assured of the confidentiality of this information.

Université de Montréal is committed to the inclusion and the diversity of its staff and also encourages people of all sexual and gender identities to apply.

We invite all qualified candidates to apply at UdeM. However, in accordance with immigration requirements in Canada, please note that priority will be given to Canadian citizens and permanent residents.

== Software Engineer for Text Mining Applications at the University of Manchester ==

* Employer: National Centre for Text Mining, School of Computer Science, University of Manchester

* Title: Software Engineer

* Specialty: Text Mining

* Location: Manchester, UK

* Deadline: November 25, 2018

* Date posted: October 25, 2018

* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

Applications are invited for a Software Engineer post (full time) for a period of 5 years

The successful candidate will be part of the National Centre for Text Mining (http://www.nactem.ac.uk/) which is hosted by the School of Computer Science, joining a strong and dynamic team in text mining. The National Centre for Text Mining provides next-generation text mining services to the community. We use natural language processing techniques to build advanced search systems in a number of domains. We are seeking a self-motivated, creative and experienced software engineer (must have substantive post graduation experience) to enhance our team expertise particularly in the areas of wrapping text mining analysis workflows, software development for search engines bringing the benefits of text mining to end users, Web services, integrating text mining with knowledge bases, cloud deployment of services and advanced user interfaces.

Essential skills and experience include: Linux/unix, extensive experience of software design and development gained in a professional software development environment, experience of producing distributed solutions and of working with large datasets, Java or C++ with XML technologies, REST/SOAP Web services, knowledge of cloud/cluster computing/SaaS/PaaS, Maven.

* Salary : £40,792 to £50,132 per annum dependent upon experience

* Hours Per week: Full Time

* Contract Duration : Starting 1 January 2019 for 5 years

Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16308

== Assistant Professor, Department of Linguistics, University of Florida ==

* Employer: Department of Linguistics, University of Florida

* Title: Tenure-track Assistant Professor

* Specialty: computational language science

* Location: Gainesville, FL 32601

* Deadline: November 18, 2018

* Date posted: October 18, 2018

* Contact: Stefanie Wulff <swulff@ufl.edu> and https://apply.interfolio.com/56557

The University of Florida invites applications for a tenure-track appointment in computational language science at the rank of assistant professor, effective August 16, 2019. This is a 9-month position. Applicants are expected to have a Ph.D. in linguistics, computer science, or a closely-related field. Candidates should have an active research agenda studying language from a computational perspective. Specialization is open, including but not limited to sociolinguistics, neuro/psycholinguistics, corpus linguistics, and/or language documentation. UF Linguistics seeks to train the next generation of linguists who are comfortable integrating and evaluating computational approaches in their research. To this end, ability to teach computationally-oriented courses is required. Candidates must hold the Ph.D. by the starting date.

The successful candidate will be expected to 1) maintain an active research agenda, 2) pursue external research funding, 3) teach two courses per semester at the undergraduate and/or graduate level, 4) provide service to the department, the university, and the profession, and 5) seek collaborations within the department as well as with other units on campus such as the UF Data Science and Information Technology Center, the UF Informatics Institute, or the McKnight Brain Institute.

The Department is committed to creating an environment that affirms diversity and inclusion across a variety of dimensions, including ability, class, ethnicity/race, religion and/or cultural background, gender identity and expression. We particularly welcome applicants who can contribute to such an environment through their scholarship, teaching, mentoring, and professional service. The university and greater Gainesville community enjoy a diversity of cultural events, restaurants, year-round outdoor recreational activities, and social opportunities

Salary is competitive, commensurate with qualifications and experience, and includes a full benefits package.

The Linguistics Department at the University of Florida is a vibrant and congenial unit consisting of 11 full-time faculty and 15 affiliated faculty in the departments of Anthropology; Languages, Literatures, and Cultures; Spanish and Portuguese; and the Dial Center for Written & Oral Communication. We offer a B.A., M.A. and Ph.D. in Linguistics, as well as an undergraduate minor and undergraduate certificate in TESL and a graduate certificate in Second Language Acquisition and Teaching. We have faculty expertise in a wide range of linguistic subfields, and particular strengths in the areas of bilingualism, language documentation, psycholinguistics, sociolinguistics, and African linguistics. Please see our website, lin.ufl.edu, for more information about the department.

For full consideration, applications must be submitted online at https://apply.interfolio.com/56557 and must include: (1) a brief cover letter, (2) a statement of teaching and research interests, (3) a CV, (4) 1-3 sample publications, (5) the names and email addresses for three references, and (6) representative teaching evaluations if available. After initial review, letters of recommendation will be requested for selected applicants. Review of applications will begin on 18 November 2018 and will continue until the position is filled.

All candidates for employment are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education.

The final candidate will be required to provide an official transcript to the department upon hire. A transcript will not be considered "official" if a designation of "Issued to Student" is visible. Degrees earned from an educational institution outside of the United States require evaluation by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/.

The University of Florida is an Equal Opportunity Employer dedicated to building a broadly diverse and inclusive faculty and staff. The University of Florida invites all qualified applicants, including minorities, women, veterans, and individuals with disabilities to apply. The University of Florida is a public institution and subject to all requirements under Florida Sunshine and Public Record laws.

== Postdoctoral Researcher, Cognitive AI Lab, University of Arizona ==

* Employer: School of Information, University of Arizona

* Title: Postdoctoral Research Associate

* Specialty: natural language processing

* Location: Tucson, AZ, USA

* Deadline: Open until filled

* Date posted: October 15, 2018

* Contact: Peter Jansen <pajansen@email.arizona.edu>

Postdoctoral Research Associate I 

https://uacareers.com/postings/31213

Position Summary 

The Cognitive Artificial Intelligence Laboratory ( http://www.cognitiveai.org ) in the School of Information at the University of Arizona invites applications for a Postdoctoral Research Associate for projects specializing in natural language processing and explanation-centered inference.

Natural language processing systems are steadily increasing performance on inference tasks like question answering, but few systems are able to provide explanations describing why their answers are correct. These explanations are critical in domains like science or medicine, where user trust is paramount and the cost of making errors is high. Our work has shown that one of the main barriers to increasing inference and explanation capability is the ability to combine information – for example, elementary science questions generally require combining between 6 and 12 different facts to answer and explain, but state-of-the-art systems generally struggle integrating more than two facts together. The successful candidate will combine novel methods in data collection, annotation, representation, and algorithmic development to exceed this limitation in combining information, and apply these methods to answering and explaining science questions.

A talk on our recent work in this area is available here: https://www.youtube.com/watch?v=EneqL2sr6cQ

Minimum Qualifications

* A Ph.D. in Computer Science, Information Science, Computational Linguistics, or a related field.

* Demonstrated interest in natural language processing or machine learning techniques.

* Excellent verbal and written communication skills

Duties and Responsibilities

* Engage in innovative natural language processing research

* Write and publish scientific articles describing methods and findings in high-quality venues (e.g. ACL, EMNLP, NAACL, etc.)

* Assist in mentoring graduate and undergraduate students, and the management of ongoing projects

* Support writing grant proposals for external funding opportunities

* Serve as a collaborative member of a team of interdisciplinary researchers

Preferred Qualifications

* Knowledge of computational approaches to semantic knowledge representation, graph-based inference, and/or rule-based systems

* Strong scholarly writing skills and publication record

Full Posting/To Apply 

https://uacareers.com/postings/31213

== Temporary lecturer, Department of Linguistics, University of California, Santa Barbara ==

* Employer: Department of Linguistics, University of California, Santa Barbara

* Title: Lecturer

* Specialty: computational linguistics and/or natural language processing and general linguistics

* Location: Santa Barbara, CA 93106

* Deadline: October 24, 2018

* Date posted: September 27, 2018

* Contact: https://recruit.ap.ucsb.edu/apply/JPF01317

The Department of Linguistics at the University of California, Santa Barbara invites applications for a qualified temporary Lecturer to teach course(s) in computational linguistics and potentially general linguistics. To learn more about the department, see: http://www.linguistics.ucsb.edu/

The Lecturer will teach an advanced undergraduate course in computational linguistics in the Winter 2019 or Spring 2019 quarter. The successful candidate may also have the opportunity to teach other courses that support the department’s undergraduate programs, including classes currently listed in the UCSB general catalog and/or special-topic courses proposed by the applicant; these courses may be offered in Winter 2019 or Spring 2019.

Applicants must possess a Master’s Degree in Linguistics and have at least one year teaching college-level linguistics courses. A Ph.D. in Linguistics is preferred but not required. The department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.

To apply, please go to the following link: https://recruit.ap.ucsb.edu/apply/JPF01317. Applicants should submit a curriculum vitae and a cover letter stating their qualifications for teaching computational linguistics as well as any additional courses they may be interested in teaching. Applicants should also provide contact information for three references. To ensure full consideration, all application materials should be received by 10/24/18; however, the position is open until filled.

The University of California is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

== Assistant Professor, Department of Linguistics, University of California, Santa Barbara ==

* Employer: Department of Linguistics, University of California, Santa Barbara

* Title: Assistant Professor

* Specialty: computational linguistics and/or natural language processing

* Location: Santa Barbara, CA 93106

* Deadline: November 9, 2018

* Date posted: September 27, 2018

* Contact: https://recruit.ap.ucsb.edu/apply/JPF01310 and complingsearch@linguistics.ucsb.edu

The Linguistics Department of the University of California, Santa Barbara seeks to hire a linguist who is a specialist in computational linguistics and/or natural language processing. The appointment will be a tenure-track position at the Assistant Professor level, effective July 1, 2019.

The successful candidate will have an active research program in computational linguistics and/or natural language processing and will have a record of participation in the computational linguistics/NLP community. Proven expertise in machine learning including word embeddings/vector space semantics is required, as is expertise in using computational linguistics methods to address theoretical and/or applied questions. Capacity to engage with the distinctive theoretical orientation of the department is expected. We welcome applicants with the ability to contribute to departmental foci, such as corpus linguistics, language and cognition, language acquisition, and/or less studied languages. We also encourage applicants who have the potential to interact with colleagues and students across disciplinary boundaries at UCSB.

The successful candidate will demonstrate commitment to and ability in graduate and undergraduate teaching and will be expected to teach a range of graduate and undergraduate courses in computational linguistics, including those with relevance to industry, as well as to contribute to the department’s undergraduate major with an emphasis in Language and Speech Technologies. For more information on the department, see www.linguistics.ucsb.edu.

The minimum requirement to be considered as an applicant is the completion of all requirements for a Ph.D. in linguistics or a closely-related field except the dissertation (or equivalent) at the time of application. A Ph.D. in linguistics or a closely-related field is expected by the time of appointment. Review of applications will begin after Friday, November 9, 2018. The position will remain open until filled.

Applicants must complete the online form at https://recruit.ap.ucsb.edu/apply/JPF01310 and must submit online the following in PDF format: letter of application, statement of research interests, teaching statement, curriculum vitae, and 2 writing samples. Applicants are also encouraged to submit an optional statement on contributions to diversity.

Applicants should request 3-5 letters of reference to be sent directly to https://recruit.ap.ucsb.edu/reference. Inquiries may be addressed to the Search Committee at complingsearch@linguistics.ucsb.edu. Initial screening of selected applicants will be conducted via Zoom. Our department has a genuine commitment to diversity, and is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.

The University of California is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

== Postdoctoral Fellow, Quantitative Criticism Lab, University of Texas at Austin ==

* Employer: Quantitative Criticism Lab, University of Texas at Austin

* Title: Postdoctoral Fellow

* Specialty: Digital humanities and natural language processing

* Location: Austin, TX or remote

* Deadline: October 15, 2018

* Date posted: September 7, 2018

* Contact: https://www.nature.com/naturejobs/science/jobs/652327-postdoctoral-fellow

The Quantitative Criticism Lab (QCL; https://www.qcrit.org), a research group developing cross-disciplinary approaches to the study of literature and culture, invites applications for a full-time postdoctoral fellowship. The duration of the fellowship is 18 months, from January 2, 2019 to June 30, 2020. The field of specialization is open, but expertise in computer programming and statistical analysis is essential, as is a deep interest in the study of literature. QCL’s physical lab space is based at The University of Texas at Austin; residence in Austin during the fellowship period is preferred but not required. The fellow will have no teaching responsibilities. The position is funded by a Digital Extension Grant from the American Council of Learned Societies (ACLS).

The ACLS-funded project will produce a web-based suite of tools for traditionally-trained humanists to analyze literary texts in a quantitative manner. The tools are designed with an important class of literary problems in mind, exemplified by the identification of verbal parallels and, at a larger scale, by the individuating of entire works within generic traditions. We take two main approaches: sequence alignment for the detection of verbal resemblance, and stylometry augmented by machine learning for the profiling of texts and corpora. The tools are expected both to enhance traditional modes of literary criticism and to enable novel quantitative analyses of the cultural evolution of literature.

The postdoctoral fellow’s primary responsibilities will be to lead development of these tools and to participate in other aspects of QCL’s research program according to background and interests. The work will involve coding, research design, data analysis, literary criticism, and scholarly writing for diverse venues, as well as various organizational duties related to workshops and conferences. The postdoctoral fellow will work under the supervision of Pramit Chaudhuri (UT Austin) and Joseph Dexter (Dartmouth College), the co-directors of QCL, and will collaborate with a diverse array of scholars, in both academia and industry, affiliated with QCL. In addition, the fellow will be expected to play a major role in mentoring the numerous graduate, undergraduate, and high school students who conduct research with QCL.

A Ph.D. in a computational, statistical, linguistic, or literary field is required. Possible disciplines include (but are not limited to) anthropology, applied mathematics, bioinformatics, classics, comparative literature, computer science, English, evolutionary biology, linguistics, and statistics. Prior experience with any of the following areas is highly desirable but not required: computational linguistics, cultural evolution, digital humanities, literary criticism of a premodern or non-Anglophone tradition (especially Latin or Ancient Greek), machine learning, and natural language processing. By the start date of the position, applicants should either have the Ph.D. in hand or be able to provide certification from their home institution that all degree requirements have been fulfilled. Applicants must have received the Ph.D. within the last three years.

For full consideration, applicants should submit the following materials by October 15, 2018:

# CV;

# Cover letter;

# Short (2-4 page) summary of past and current research interests, giving particular attention to any computational work;

# Writing sample of no more than 40 pages (e.g., article or dissertation chapter).

In addition, applicants should arrange to have three letters of recommendation forwarded by the deadline. Please submit your CV and cover letter on the UT Jobs website: https://utdirect.utexas.edu/apps/hr/jobs/nlogon/180823010712. Please submit the additional materials via email to vnoya@austin.utexas.edu. Questions can be directed to Vanessa Noya at the same address.

The salary will be $48,000 per year, plus benefits.

The successful candidate must be able to begin work in this position by January 2, 2019.

A criminal history background check will be required for finalist(s) under consideration for this position.

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

If hired, you will be required to complete the federal Employment Eligibility Verification form, I-9. You will be required to present acceptable, original documents (https://hr.utexas.edu/current/services/employment-eligibility-verification-i9-docs) to prove your identity and authorization to work in the United States. Information from the documents will be submitted to the federal E-Verify system for verification. Documents must be presented no later than the third day of employment. Failure to do so will result in dismissal.

UT Austin is a Tobacco-free Campus (http://tobaccofree.utexas.edu/).

== Associate Research Scientist, UKP Lab, TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany

* Title: Associate Research Scientist

* Specialty: Natural language processing

* Location: Darmstadt

* Deadline: September 30, 2018 (or until filled)

* Date posted: September 6, 2018

* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The [https://www.ukp.tu-darmstadt.de/ Ubiquitous Knowledge Processing (UKP) Lab] at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

'''Associate Research Scientist''' 

'''(PostDoc- or PhD-level; for an initial term of two years)'''

This position should further strengthen and develop the profile of the lab in natural language processing (NLP) and related topics such as machine learning, multimodal content analysis, information retrieval, or novel applications of NLP to social sciences and humanities.

Possible areas of research include, but are not limited to:

* interactive clustering and machine learning to extract sets of textual snippets according to multiple criteria, e.g. high-quality and diverse examples illustrating a lexical entry’s usage;

* NLP for low-resource languages, e.g. analyzing discourse-level argumentation in Georgian;

* interactive sequence labeling to support claim validation by experts, e.g. for extracting evidence from corpora;

* joint text and image processing for content classification in social media, e.g. identifying bias;

* analyzing and generating creative language, such as humor, metaphor, or other rhetorical means.

The lab has a strong profile in the above areas, which features robust semantic analysis and textual inference, multimodal content analysis and summarization, and applications of NLP including novel benchmarks and problem definitions. It currently develops a new focus on interactive machine learning and chatbots and conversational agents. The lab closely cooperates with machine learning, computer vision, and data management groups of the Computer Science department. It has a strong industrial network and works together with social sciences and humanities on real-life research problems.

We are looking to attract highly qualified candidates with an outstanding degree in NLP, machine learning, or a related field of Computer Science. The candidates should preferably have research and teaching experience and strong communication skills in English and German (optional). Together with the candidate, we work out an individual career development plan and identify the relevant opportunities for the professional and personal growth within the activities of the lab.

The research environment is excellent. The Department of Computer Science of the TU Darmstadt is regularly one of the top ranked ones among the German universities. Its unique Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG and the BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasize NLP, machine learning and text mining. UKP Lab is a very dynamic research group committed to high-profile research, cooperative work style and close interaction of team members.

Applications should include a detailed CV, a motivation letter, an outline of previous working or research experience and the names of ideally three referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by September 30th, 2018: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The position is open until filled.

== Tenure-track and tenure-eligible investigators at the National Library of Medicine, Bethesda, Maryland ==

*Employer: National Library of Medicine

*Title: Tenure-track and tenure-eligible investigators

*Specialty: Natural Language Processing

*Location: Bethesda, MD, USA

*Deadline: Applications will be accepted until the position is filled.

*Date posted: August 15, 2018

*Contact: Dr. Andy Baxevanis, the Search Chair, <andy@mail.nih.gov>

The National Library of Medicine is currently recruiting for both tenure-track and tenure-eligible investigators in data science, biomedical informatics, and computational biology.

Individuals with significant experience in the use of statistical, machine learning, optimization and advanced mathematical methodologies as applied to biomedical and health science are encouraged to apply.

Additional details are available by following the links below.

https://www.nlm.nih.gov/careers/jobopenings.html

https://www.nlm.nih.gov/careers/jobopening_ncbi_01_20180813.html

https://www.nlm.nih.gov/careers/jobopening_ncbi_02_20180813.html

== Question-Answering Research Internship at Adobe Research, San Jose, California ==

*Employer: Adobe Research

*Title: Research Scientist Intern

*Speciality: Question-answering

*Location: San Jose, CA, USA

*Deadline: Applications will be accepted until the position is filled.

*Date posted: July 3, 2018

*Contact: Franck Dernoncourt <dernonco@adobe.com>

We are looking for a PhD student with background in question-answering for a late summer or autumn, ~13-week internship (starting date and length are flexible). We strongly encourage our interns to publish their work to NLP/ML conferences/journals, and as a result we prefer candidates with a strong publication record. International PhD students are welcome to apply. Highly competitive salary. To apply, please send me an email with your CV (e.g., PDF or LinkedIn) as well as the list of your publications (e.g., PDF or link to your Google Scholar profile).

== Postdoctoral position in natural language understanding, KU Leuven, Belgium ==

* Employer: KU Leuven, Belgium

* Title: Postdoctoral researcher

* Specialty: Natural language understanding, machine learning

* Location: Leuven, Belgium

* Deadline: July 31, 2018

* Date posted: June 18, 2018

* Contact: sien.moens@cs.kuleuven.be

We offer a two-year postdoctoral position (extendable to four years) funded by the ERC (European Research Council) Advanced Grant CALCULUS “Commonsense and Anticipation enriched Learning of Continuous representations sUpporting Language UnderStanding” (http://calculus-project.eu). The principal investigator is Prof. Sien Moens. CALCULUS focuses on learning effective anticipatory representations of events and their narrative structures that are trained on language and visual data. The machine learning methods on which CALCULUS will build belong to the family of latent variable models where it will rely on Bayesian probabilistic models and neural networks as starting points. CALCULUS focuses on settings with limited training data that are manually annotated and especially aims at developing novel machine learning paradigms for natural language understanding. CALCULUS also evaluates the inference potential of the anticipatory representations in situations not seen in the training data and for inferring spatial, temporal and causal information in metric real world spaces. The best models for language understanding will be integrated in a demonstrator that translates language to events happening in a 3-D virtual world.

The successful candidate will have an opportunity to work on innovative natural language understanding research such as grounding language meaning into visual perception and translating narrative language into visual events. He or she will be given the opportunity for personal development beyond research, for example by contributing to teaching (e.g., at the undergraduate and graduate levels). For an outstanding candidate there is the potential to grow into an assistant professorship.

'''Responsibilities'''

* Perform own research in language understanding and novel machine learning paradigms in the frame of the CALCULUS project.

* Carry out some teaching duties, which may include lectures/exercise sessions, the organisation of student seminars, and the supervision of bachelor and master theses.

* Help in the supervision of PhD researchers of the CALCULUS team.

'''Prerequisites'''

* You have (or are near completion of) a PhD in Computer Science (or a related field).

* You have a motivated interest in fundamental research in language understanding and machine learning.

* You are not afraid of creative and original ideas and solutions.

* You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in relevant journals with high impact factor.

* You are good at collaborating with and leading others.

* You work proactively and independently and have good communication skills.

* You have a very good knowledge of English, both spoken and written.

* You are highly motivated, ambitious and result-oriented.

'''Offer'''

* We offer a 2 x 2-year postdoctoral position, starting in September 2018 (negotiable).

* We offer a competitive wage and yearly budget to attend conferences and for short research stays.

'''Interested'''

If interested, send your CV including publication list, motivation letter and two recommendation letters by e-mail to Prof. dr. Sien Moens (sien.moens@cs.kuleuven.be) as soon as possible and the latest by July 31, 2018. For more information please contact Prof. dr. Sien Moens: tel.: +32 16 32 53 83. Excellent candidates will be invited for an interview (possibly via Skype).

'''The research team'''

The Language Intelligence & Information Retrieval (LIIR) lab (https://liir.cs.kuleuven.be) of KU Leuven, Belgium is part of the Human Computer Interaction (HCI) unit in the Department of Computer Science. The members of the lab are especially interested in natural language processing and understanding, multimedia mining, machine learning and information retrieval. They study well-informed theoretical models as well as challenging applications, often empowered by big data sets. They investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. LIIR has a special interest in statistical multimodal representation learning where we explore the complementarity of language and visual data. The developed technologies are, among others, applied in the domains of bioinformatics, business intelligence, e-commerce analytics, electronic message filtering, news search and mining, user generated content mining, and World Wide Web mining and search, and contribute to the field of data science in these areas. Through its collaborations LIIR connects to other disciplines including speech processing, computer vision, data mining, artificial intelligence, cognitive science, and human-computer interaction.

'''The university'''

KU Leuven is situated in a historic university town close to Brussels, the capital of Europe. It features an excellent Computer Science department providing a stimulating research environment. All programmes at this university are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!

== Postdoctoral position in multilingual text mining, KU Leuven, Belgium ==

* Employer: KU Leuven, Belgium

* Title: Postdoctoral researcher

* Specialty: Text mining, machine learning

* Location: Leuven, Belgium

* Deadline: July 31, 2018

* Date posted: June 18, 2018

* Contact: sien.moens@cs.kuleuven.be

We offer a two-year postdoctoral position funded by the EU ITEA3 project PAPUD "Profiling and Analysis Platform Using Deep Learning” (https://itea3.org/project/papud.html). The principal investigator is Prof. Sien Moens. The scope of the project is to build a universal model for data analytics using deep learning in order to help today’s businesses to make sense out of data. The postdoctoral position focuses on multilingual text mining and more specifically on interlingual content representations and methods of transfer learning with applications in multilingual topic modelling, content classification (e.g., opinion and argumentation mining) and question answering. The candidate will perform cutting-edge artificial intelligence research in the context of a European consortium composed of renowned academic and industrial partners.

'''Responsibilities'''

* Design and develop machine learning methods for multilingual text mining.

* Carry out some teaching duties, which may include lectures/exercise sessions, the organization of student seminars, and the supervision of bachelor or master theses.

'''Prerequisites'''

* You have (or are near completion of) a PhD in Computer Science (or a related field).

* You have a motivated interest in and knowledge of text mining and machine learning, including probabilistic graphical models and deep learning.

* You have a solid track record of publications in relevant international peer-reviewed A ranked conferences and journals.

* You have a profound interest in collaborating with the industry on applications of text mining and willing to contribute to a deep learning text analytics platform.

* You have a very good knowledge of English, both spoken and written.

* You are highly motivated, ambitious and result-oriented.

'''Offer'''

* We offer a two-year postdoctoral position, starting in September 2018 (negotiable).

* We offer a competitive wage and yearly budget to attend conferences.

'''Interested'''

If interested, send your CV including publication list, motivation letter and two recommendation letters by e-mail to Prof. dr. Sien Moens (sien.moens@cs.kuleuven.be) as soon as possible and the latest by July 31, 2018. For more information please contact Prof. dr. Sien Moens: tel.: +32 16 32 53 83. Excellent candidates will be invited for an interview (possibly via Skype).

'''The research team'''

The Language Intelligence & Information Retrieval (LIIR) lab (https://liir.cs.kuleuven.be) of KU Leuven, Belgium is part of the Human Computer Interaction (HCI) unit in the Department of Computer Science. The members of the lab are especially interested in natural language processing and understanding, multimedia mining, machine learning and information retrieval. They study well-informed theoretical models as well as challenging applications, often empowered by big data sets. They investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. LIIR has a special interest in statistical multimodal representation learning where we explore the complementarity of language and visual data. The developed technologies are, among others, applied in the domains of bioinformatics, business intelligence, e-commerce analytics, electronic message filtering, news search and mining, user generated content mining, and World Wide Web mining and search, and contribute to the field of data science in these areas. Through its collaborations LIIR connects to other disciplines including speech processing, computer vision, data mining, artificial intelligence, cognitive science, and human-computer interaction.

'''The university'''

KU Leuven is situated in a historic university town close to Brussels, the capital of Europe. It features an excellent Computer Science department providing a stimulating research environment. All programmes at this university are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!

== PhD positions in DFG Graduate School AIPHES, TU Darmstadt ==

* Employer: [https://www.aiphes.tu-darmstadt.de/ DFG Graduate School AIPHES], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany

* Title: Doctoral researcher

* Specialty: deep learning, summarization

* Location: Darmstadt

* Deadline: June 27, 2018

* Date posted: June 18, 2018

* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The [http://www.aiphes.tu-darmstadt.de/ Research Training Group “Adaptive Information Preparation from Heterogeneous Sources” (AIPHES)], which has been established in

2015 at Technische Universität Darmstadt and at Ruprecht Karls

University Heidelberg is filling two positions for three years,

starting as soon as possible, located in Darmstadt and associated with

UKP Lab (Prof. Iryna Gurevych). Positions remain open until filled.

The positions provide the opportunity to obtain a doctoral degree with

an emphasis in

natural language processing tasks such as structured summaries of

complex contents, abstractive summarization, or a related area.

Applicants should be willing to work on cross-lingual, cross-modality

and domain-independent methods. Prior experience in transfer learning,

multi-task learning, adversarial learning, deep reinforcement learning

or related methods is a plus.

The goal of AIPHES is to conduct innovative research in knowledge

acquisition on the Web in a cross-disciplinary context. To that end,

methods in computational linguistics, natural language processing,

machine learning, computer vision, and data and information management

will be developed. AIPHES investigates a novel,

complex scenario for information preparation from heterogeneous

sources. It interacts closely with end users who prepare textual

documents in an online editorial office, and who should therefore

benefit from the results of AIPHES. In-depth knowledge in one of the

above areas is desirable but not a prerequisite.

AIPHES emphasizes close contact between the students and their

advisors with regular joint meetings, a co-supervision by professors

and younger scientists in the research groups, and an intensive

exchange as part of the research and qualification program.

Participating research groups at Technische Universität Darmstadt are

Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge

Processing (Prof. Gurevych, Dr. Claudia Schulz), Machine Learning

(Prof. Kersting), Visual

Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at

Ruprecht Karls University Heidelberg are the Institute for

Computational Linguistics (Prof. Frank) and the Natural Language

Processing Group (Prof. Strube) of the Heidelberg Institute for

Theoretical Studies (HITS). AIPHES strives to publish its results at

leading

scientific conferences and is actively supporting its doctoral

researchers in this endeavor. The software that will be developed in

the course of AIPHES should be put under the open source Apache

Software License 2.0 if possible. Moreover, the research papers and

datasets should be published with open access models.

'''Prerequisites'''

We are looking for exceptionally qualified candidates with a degree in

Computer Science, Machine Learning, NLP, or a related study

program. We expect the ability to work independently, personal

commitment,

team and communication abilities, as well as the willingness to

cooperate in a multi-disciplinary team. Prior experience in

scientific work is a plus. We specifically invite

applications of women. Among those equally qualified, handicapped

applicants will receive preferential consideration. International

applications are particularly encouraged.

The research environment is excellent. The [https://www.informatik.tu-darmstadt.de/ Department of Computer Science of TU Darmstadt] is regularly

ranked among the top ones in respective rankings of German

universities. [https://www.ukp.tu-darmstadt.de UKP Lab] is a highly dynamic research group committed to

top-level conferences, technologies of the highest standards,

cooperative work style and close interaction of team members. Its

BMBF-funded Centre for the Digital Foundation of Research in the

Humanities, Social, and Educational Sciences (CEDIFOR) emphasizes NLP,

machine learning and text mining. The large-scale [http://www.argumentext.de/ argument mining project] allows searching large document collections in response to a

user-defined topic: neural networks determine relevant pro and con

arguments in real-time, and represent them in a concise summary.

Applications should include a motivational letter that refers to one of

the planned research areas of [http://www.aiphes.tu-darmstadt.de/ AIPHES], a CV with

information about the applicant’s scientific work, certifications of

study and work experience, as well as a thesis or other publications

in electronic form. Application materials must be submitted via the

following form by June, 27th, 2018:

https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/

In addition, applicants should be prepared to solve a programming and

a reviewing task in the first two weeks after their application.

== Postdoc position: Bocconi University, Milan ==

*Employer: Bocconi University

*Title: Postdoctoral Researcher

*Location: Milan, Italy

*Deadline: June 22nd, 2018, 5 p.m.  

*Starting date: as early as possible, but no later than September 2018

*Duration: 1 year  

*Date Posted: June 18, 2018

*Contact: Paola Cillo (paola.cillo@unibocconi.it)

*URL: https://bit.ly/2JW2tKZ (select the Gucci Lab call)

Gucci Research Lab (GRL) is a unique partnership between Bocconi University and Gucci to identify and study the trends that define the way in which organizations are evolving. This position is part of a larger project by the Gucci Lab at Bocconi on the effects of a change in a firm’s leadership positions on the firm’s culture and its performance. Part of the project involves the textual analysis of internal documents (e.g., emails), before and after the leadership change. To provide an example, textual analysis of these documents will be conducted to identify power relationships within the organization and study how they evolved over time.

REQUIREMENTS/QUALIFICATIONS  

The successful candidate will work actively on novel directions in deep learning, multi-task learning, and neural networks.  The candidate is expected to have:

* a Ph.D. or equivalent in Computer Science, Computational Linguistics/NLP, Mathematics or related fields.

* Good programming skills in Python.

* Fluent English. Knowledge of other languages is more than welcome.  Knowledge of Italian is NOT a requirement.

* Knowledge of current neural network models, especially Word2Vec and Doc2Vec, and tools for neural networks (e.g. Tensorflow, Keras, PyTorch, etc.).

* Publications in top-tier venues in the field of Computational Linguistics.

* Experience in Ph.D. student supervision is a plus.

* Salary: 43,310.50 euros per annum

HOW TO APPLY  

The application must be sent to Faculty and Research Division of Bocconi University (addressing the Rector) just via email at recruiting_ricerca@unibocconi.it

You can find more information about the project and call here: https://bit.ly/2t1DnAO

== Postdocs: Johns Hopkins University ==

*Employer: Johns Hopkins University

*Title: Postdoctoral Researcher

*Location: Baltimore, MD

*Deadline: Applications will be accepted until positions are filled

*Date Posted: June 6, 2018

*Contact: clspsearch@clsp.jhu.edu

*URL: https://www.clsp.jhu.edu/employment-opportunities/

The Center for Language and Speech Processing (CLSP) at the Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech, natural language processing and machine learning. Applicants must have a Ph.D. in a relevant discipline and a strong research record.

The center has a number of postdoctoral positions available. A single application will be considered for all open positions (except for one position as noted below). You need not indicate a specific position, but you may include a strong preference in an optional cover letter.

Example topics include:

* Cross-lingual Information Retrieval

* Trend Detection in Social Media

* Social Media and Mental Health

* Analysis of Clinical Medical Text

* Broadly Multilingual Learning of Morphology and Low-Resource Machine Translation

* NLP and Machine Learning for Clinical Data Analysis

Johns Hopkins University is a private university located in Baltimore, Maryland. The campus provides easy access to a number of affordable and vibrant neighborhoods and waterfront dining options. Hopkins is also connected to Washington DC (40 mins), Philadelphia (1.5 hours) and New York city (2.5 hours) via direct trains and buses.

CLSP is one of the world’s largest academic centers focused on speech and language. CLSP is home to a dozen faculty members, half a dozen postdocs, and over 60 graduate students. It has a history of placing students in top academic and industry positions, with a large network of alumni at Google, Amazon, Microsoft Research, Bloomberg, IBM Research, Facebook, Twitter, Nuance, BBN, and numerous startups.

Applicants are not required to be to US citizens or permanent residents.

Questions about specific projects should be directed to the contact information associated with the project. General inquiries may be sent to clspsearch@clsp.jhu.edu.

Details and application information:

http://www.clsp.jhu.edu/employment-opportunities/

== Research Fellow in Software Engineering with a Focus on Natural Language Processing at University of Tartu, Estonia ==

* Employer: University of Tartu, Institute of Computer Science, [https://sep.cs.ut.ee/ Software Engineering group]

* Title: Research Fellow

* Speciality: Software engineering, machine learning, natural language processing

* Location: Tartu, Estonia

* Deadline: June 4, 2018

* Date posted: May 21, 2018

* Contact: Dietmar Pfahl, Kairit Sirts (<firstname>.<lastname>@ut.ee)

'''Postdoctoral position''' 

Applications are invited for a position of Research Fellow at the Software Engineering and Information Systems Research Group, Institute of Computer Science, University of Tartu. The institute is the leading Computer Science department in the Baltics and is one of the top-2 in Central and Eastern European universities according to the field-specific Times Higher Education Ranking 2017. The Software Engineering and Information Systems group conducts research in the fields of data-driven software engineering decision support, business process management, and secure information systems design. The group is composed of 25 members, including 12 PhD students. The group places a strong emphasis on research excellence and quality of its research publications. The institute has strong ties with the local industry and manages a portfolio of half a dozen research projects in cooperation with industry partners.

The successful candidate will conduct research in the field of data-driven software engineering decision support, within a team that brings together researchers specialized in software analytics, software evolution, software quality assurance, agile development methods, data mining and natural language processing. The research fellow will be expected to contribute to ongoing research projects which aim at exploiting advanced data science methods in one or more of the following application domains:

* open innovation,

* energy-efficient software development,

* software testing.

The research to be conducted is interdisciplinary. In particular, we will be closely collaborating with the natural-language processing group to leverage their expertise on analyzing unstructured data.

'''Requirements''' 

Candidates must have a PhD in Computer Science or a related discipline. Expertise in at least one of the following topics is essential: software testing, static code analysis, software evolution/maintenance, machine learning. Experience in developing research prototypes and working in collaborative research projects is desirable. The position is not term-limited. Funding is already secured for the first two years of the appointment. The continuation of the position after the first two years will depend on further funding. Remuneration will be up to 2400 euros/month. Estonia applies a flat income tax of 20% on salaries and provides public health insurance for employees.

The expected start date is 1 September 2018, but a later start date can be negotiated.

The deadline for applications is 4 June 2018. The application procedure is outlined in the official advertisement at the [https://www.ut.ee/en/welcome/job-offer/research-fellow-software-engineering-0 University's website].

== Postdoctoral research positions in cybersecurity, natural language processing, and experimental social psychology at SUNY Albany ==

* Employer: University at Albany, Research Foundation of the State University of New York, [http://www.ils.albany.edu/ ILS Institute]

* Title: Postdoctoral researcher

* Speciality: Cybersecurity, natural language processing, machine learning, experimental design

* Location: Albany, New York, USA

* Deadline: July 31, 2018

* Date posted: May 18, 2018

* Contact: Tomek Strzalkowski (tomek {at} albany.edu)

'''Postdoctoral positions''' 

* ''The Personalized AutoNomous Agents Countering Social Engineering Attacks (PANACEA) Project.'' The PANACEA Project is a joint effort of communication and computer science faculty at the University at Albany, SUNY, as well as researchers at other institutions. The project aims to design, develop, and evaluate an automated system that will protect online users against current and future forms of social engineering attacks. The system will serve as an intermediary between attackers (human, automated, hybrid, coordinated) and the potential victims they target by addressing and eliminating human vulnerabilities in current cyber defense capabilities. The objectives of the project include detection and classification of social engineering attacks as well as active defenses, including engaging and identifying of the attackers.

* ''The Computational Ethnography from Metaphors and Polarized Language (COMETH) Project.'' The COMETH project is a joint effort of computer science and psychology faculty at the University at Albany. The project aims to develop and validate novel computational methodology for automatically acquiring cultural models that represent the worldviews of communities and subcultures operating within the larger society. These models will be obtained using advanced natural language processing and machine learning techniques on data from online media outlets produced by different communities. The objectives of this research include (a) capturing prevalent community attitudes (sentiment and beliefs) toward key concepts such as government, rights, economic inequality, etc.; (b) showing how these attitudes evolve over time, including in response to external influences (e.g., national or international events); and (c) explaining how this system of attitudes acts like an interpretive and defensive tool by allowing the community to reject or distort incoming information.

'''Requirements for the PANACEA position''' 

For the PANACEA project, we seek a postdoctoral researcher to join our interdisciplinary team. The candidate must have a Ph.D. in Computer Science from an accredited college or university that was granted within the last 3 years, and evidence of advanced scholarly research in a relevant field. This position starts September 1, 2018.

* The candidates are expected to have the following skills: in-depth knowledge of current issues and methods in cybersecurity, natural language processing, socio-behavioral computing, human-computer dialogue, statistical methods of data analysis, and machine learning. Familiarity with empirical method of data collection and model validation is preferred. Programming expertise is essential including substantial experience with Java, Python, and C++ programming environment, as well as with Windows, Linux and Unix platforms. Linguistic background and familiarity with methods of conversational analysis is a plus.

'''Requirements for the COMETH positions''' 

For the COMETH project, we seek '''two''' postdoctoral researchers: one in computer science and one in psychology. The candidates must have a Ph.D. in Computer Science or Psychology from an accredited college or university that was granted within the last 3 years, and evidence of advanced scholarly research in a relevant field. These positions start December 1, 2018.

* The computer science candidates are expected to have the following skills: in-depth knowledge of current issues and methods in natural language processing, data science, domain modeling, socio-behavioral computing, statistical methods, and machine learning. Familiarity with empirical method of data collection and model validation is preferred. Programming expertise is essential including substantial experience with Java, Python, and C++ programming environment, as well as with Windows, Linux and Unix platforms. Linguistic background and familiarity with sentiment analysis and metaphor extraction is a plus.

* The psychology candidates are expected to have following skills: substantial experience with experimental design and advanced statistical methods in experimental social psychology, and knowledge of political psychology. Experience with open science and pre-registration of research protocols will be beneficial.

'''Overall Requirements''' 

* For all postdoctoral researchers: duties include advanced research and development under the direction of the project faculty, report preparation and coordination of work of graduate student assistants. Ability to execute substantial tasks within large projects in timely fashion is essential. Candidates must also address in their applications, their ability to work with a culturally diverse population.

The postdoctoral researcher appointment review will begin immediately and will close once filled. The successful candidates will be located in the Institute for Informatics, Logics, and Security Studies at the University at Albany, SUNY. The appointment is for 40 hours a week, initially for 12 to 18 months, and potentially extendible for up to 48 months, depending on the project. Expected start dates are September 1, 2018 and December 1, 2018, pending funding approval from the Federal Government sponsor. The salary is commensurate with experience.

'''How to Apply''' 

Interested individuals should direct inquiries and submit a cover letter, resume, and three letters of reference to: Prof. Tomek Strzalkowski, Director ILS Institute, University at Albany, tomek {at} albany.edu

== Two PhD positions in deep learning for natural language understanding and summarisation at Idiap, Switzerland ==

* Employer: Idiap Research Institute, [http://www.idiap.ch/en/scientific-research/natural-language-understanding Natural Language Understanding group]

* Title: Two PhD positions

* Speciality: Natural Language Understanding, Summarisation, Machine Learning

* Location: Martigny, Switzerland

* Deadline: May 31, 2018

* Date posted: April 30, 2018

* Contact: James Henderson (james.henderson@idiap.ch)

'''Two PhD positions'''

The [http://www.idiap.ch/en Idiap Research Institute] seeks qualified candidates for two PhD student position in the field of natural language understanding, developing deep learning methods for textual entailment and opinion summarisation.

The research will be conducted in the framework of the Swiss NSF funded project Learning Representations of Abstraction for Opinion Summarisation. One of the successful candidates will investigate modelling abstraction relationships between texts (textual entailment), and the other will investigate summarising large collections of opinions (opinion summarisation). Opinion summarisation must abstract away from the details of individual opinions to find consensus statements which are entailed by a significant proportion of opinions.

This project will model these natural language understanding tasks through fundamental advances in representation learning and deep learning architectures. The work will start from Dr. Henderson's work on modelling abstraction in deep learning architectures, where learned vectors represent entailment rather than the usual similarity. Successes in the unsupervised learning of word vectors for entailment will be extended to deep learning architectures for the compositional semantics of texts. Methods for finding the intersection of information in vectors will be extended to clustering texts by their shared content and generating abstract summaries.

The ideal PhD candidate should hold a Master degree in computer science, computational linguistics or related fields. She or he should have a background in machine learning, optimisation, or natural language processing. The applicant should also have strong programming skills.

The successful PhD candidates will join the [http://www.idiap.ch/en/scientific-research/natural-language-understanding Natural Language Understanding group] at Idiap, under the supervision of Dr. James Henderson. They will also become doctoral students at [http://www.epfl.ch EPFL] conditional on parallel application to, and acceptance by, the [http://phd.epfl.ch/applicants EPFL Doctoral School]. Appointment for the PhD position is for a maximum of 4 years, provided successful progress, and should lead to a dissertation. Annual gross salary ranges from 47,000 Swiss Francs (first year) to 50,000 Swiss Francs (last year). Starting date is to be negotiated, within 2018. All queries related to the advertised position can be sent to Dr. James Henderson (james.henderson@idiap.ch).

Please apply online here:

[http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710241%27%7D http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710241%27%7D]

'''Idiap'''

Idiap is an independent, not-for-profit, research institute funded by the Swiss Federal Government, the State of Valais, and the City of Martigny. It is located in a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and offering exceptional quality of life, exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. It is within close proximity to Lausanne and Geneva. Idiap is an equal opportunity employer and is actively involved in the "Advancement of Women in Science" European initiative.

== 2 postdoctoral research positions in text mining and natural language understanding at KU Leuven, Belgium ==

* Employer: KU Leuven, Department of Computer Science, [https://liir.cs.kuleuven.be/ Language Intelligence and Information Retrieval lab]

* Title: Postdoctoral researcher

* Speciality: Text mining, natural language understanding, machine learning

* Location: Leuven, Belgium

* Deadline: May 21, 2018

* Date posted: April 23, 2018

* Contact: Sien Moens (sien.moens {at} cs.kuleuven.be)

'''Postdoctoral positions''' 

* Postdoctoral position on the topic of multilingual text mining. The goal is to build interlingual representations that allow multilingual topic modelling, content classification (e.g., opinion and argumentation mining) and question answering. This postdoctoral position will be funded by the EU ITEA3 grant PAPUD and offers a contract for two years. The position will start as soon as possible.

* Postdoctoral position on the topic of multimodal representation learning. The goal is to learn continuous representations that represent language grounded in visual perception (static images and video), assist in the design of novel machine learning architectures, and investigate suitable data structures for real-time search of the representations. This postdoctoral position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS and offers a contract for two years (with the possibility of renewal for another two years). The position will start September 1, 2018.

'''Requirements''' 

*PhD in computer science or equivalent.

* Motivated interest in and preferably knowledge of (as demonstrated by publications in highly recognized venues such as ACL, EMNLP, ICML, NIPS, etc.) of natural language processing and machine learning, including deep learning and learning of latent variable models. For the second postdoctoral position, interest or experience in semantic hashing is a plus.

The successful candidates will have an opportunity to work on cutting-edge natural language processing, multimedia processing and machine learning research. He/she will be given the opportunity for personal development beyond research, for example by contributing to departmental teaching at the undergraduate and graduate levels.

KU Leuven is an institution for research and education with international appeal. All programmes at this University are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!

== 2 PhD positions in natural language understanding at KU Leuven, Belgium ==

* Employer: KU Leuven, Department of Computer Science, [https://liir.cs.kuleuven.be/ Language Intelligence and Information Retrieval lab]

* Title: PhD researcher

* Speciality: Natural language understanding, machine learning

* Location: Leuven, Belgium

* Deadline: May 21, 2018

* Date posted: April 23, 2018

* Contact: Sien Moens (sien.moens {at} cs.kuleuven.be)

'''PhD positions''' 

* PhD position on the topic of multimodal representation learning trained on language and visual data. The goal is to learn continuous representations of language grounded in visual data (static images and video) including the design, implementation and evaluation of novel machine learning architectures that capture textual as well as visual grammars. The learned representations will serve as commonsense knowledge in language understanding tasks. This PhD position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS. The position starts September 1, 2018.

* PhD position on the topic of semantic parsing of natural language sentences and discourse. The goal is to learn compositional models that take into account continuous representations of objects, their attributes and likely relationships. An additional focus is on using the compositional models to efficiently parse language in real-time. This PhD position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS. The position starts September 1, 2018.

'''Requirements''' 

*Master degree in computer science or equivalent.

*Motivated interest in and preferably knowledge of (as demonstrated in master thesis or master course work) of natural language processing, machine learning, including deep learning and learning of latent variable models, semi-supervised machine learning, and constrained optimization.

The successful candidates will have an opportunity to work on cutting-edge natural language processing, multimedia processing and machine learning research. He/she will be given the opportunity for personal development beyond research, for example by contributing to departmental teaching at the undergraduate and graduate levels.

KU Leuven is an institution for research and education with international appeal. All programmes at this University are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!

== Associate Research Scientist (NLP, machine learning and text mining), TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany

* Title: Associate Research Scientist

* Specialty: NLP, machine learning, text mining

* Location: Darmstadt

* Deadline: March 28, 2018

* Date posted: March 19, 2018

* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

'''Associate Research Scientist'''

(PostDoc- or PhD-level; for a term of three years with an extension option)

This position is intended to strengthen the profile of [https://www.ukp.tu-darmstadt.de/ the lab] in a research area within natural language processing (NLP), machine learning and text mining, such as word-/sentence-/discourse-level semantics, robust textual inference, and the applications of the above in higher-level NLP, such as QA, text summarization, argument mining, etc. The lab closely cooperates with the groups in machine learning, computer vision, and interactive data analytics of the Computer Science department and many other research labs and companies. Besides, the lab conducts research projects in close cooperation with the users in the humanities and social sciences.

We ask for applications from highly qualified candidates with a specialization/PhD in NLP/Text Mining, preferably with relevant research and teaching experience and strong communication skills in English and German (optional). Individual career development plans can be worked out. E.g. the successful candidate will contribute to research activities described above and – based on the previous experience and qualifications – will be given an opportunity to grow, i.e. to teach courses, co-supervise PhD students, and manage research projects. Outstanding candidates (at M.Sc.-level, without a PhD) are invited to apply and can be considered for a PhD-level position with an adjusted scope of responsibilities. The position being filled is based on the university funds.

The research environment is excellent. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones among the German universities. Its unique Research Training Group [https://www.aiphes.tu-darmstadt.de/de/aiphes/ “Adaptive Information Processing of Heterogeneous Content” (AIPHES)] funded by the DFG and the BMBF-funded [https://www.cedifor.de/en/cedifor/ Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR)] emphasize NLP, machine learning and text mining. UKP Lab is a highly dynamic research group committed to top-level conferences, technologies of the highest standards, cooperative work style and close interaction of team members.

Applications should include a detailed CV, a motivation letter, an outline of previous working or research experience and the names of three referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via [https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment the application form] by '''March 28, 2018'''. The position is open until filled.

== PhD positions in DFG Graduate School AIPHES, TU Darmstadt: Natural Language Processing and Machine Learning ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt]

* Title: Doctoral researcher

* Speciality: Natural Language Processing and Machine Learning

* Location: Darmstadt

* Deadline: April 3, 2018

* Date posted: March 19, 2018

* Contact: [https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/ AIPHES recruitment form]

The Research Training Group [http://www.aiphes.tu-darmstadt.de/ "Adaptive Information Preparation from Heterogeneous Sources" (AIPHES)], which has been established in 2015 at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling two positions for three years, starting as soon as possible, located in Darmstadt and associated with UKP Lab (Prof. Iryna Gurevych). Positions remain open until filled.

The positions provide the opportunity to obtain a doctoral degree with an emphasis in natural language processing tasks such as structured summaries of complex contents, in content selection and classification enhanced by reasoning, or a related area.

The goal of AIPHES is to conduct innovative research in knowledge acquisition on the Web in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, computer vision, and automated quality assessment will be developed. AIPHES will investigate a novel, complex scenario for information preparation from heterogeneous sources. It interacts closely with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.

AIPHES emphasizes close contact between the students and their advisors with regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. Participating research groups at Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Claudia Schulz), Machine Learning (Prof. Kersting), Visual Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at Ruprecht Karls University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of the Heidelberg Institute for Theoretical Studies (HITS). AIPHES strives to publish its results at leading scientific conferences and is actively supporting its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.

'''Prerequisites'''

We are looking for exceptionally qualified candidates with a degree in Computer Science, Machine Learning, NLP, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Prior experience in scientific work is a plus. Applicants should be willing to work on lesser-resources languages, e.g. German, and, if necessary, to acquire basic German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

The research environment is excellent. The [https://www.informatik.tu-darmstadt.de/ Department of Computer Science of TU Darmstadt] is regularly ranked among the top ones in respective rankings of German universities. [https://www.ukp.tu-darmstadt.de/ UKP Lab] is a highly dynamic research group committed to top-level conferences, technologies of the highest standards, cooperative work style and close interaction of team members. Its BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasizes NLP, machine learning and text mining. The large-scale [http://www.argumentext.de/ argument mining project] allows searching large document collections in response to a user-defined topic: neural networks determine relevant pro and con arguments in real-time, and represent them in a concise summary.

Applications should include a motivational letter that refers to one of the planned research areas of [http://www.aiphes.tu-darmstadt.de/ AIPHES], a CV with information about the applicant’s scientific work, certifications of study and work experience, as well as a thesis or other publications in electronic form. Application materials must be submitted via the following form by '''April 3rd, 2018''': https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/

In addition, applicants should be prepared to solve a programming and a reviewing task in the first two weeks after their application.

== Tenure track at IDSIA (Switzerland) in Natural Language Understanding and Text Mining ==

* Employer: IDSIA (www.idsia.ch)

* Title: Tenure track

* Specialty: Natural Language Understanding and Text Mining

* Location: Lugano, Switzerland

* Deadline: March 31th, 2018 (start date flexible)

* Date posted: March 16, 2018

* Contact email: Giorgio Corani (giorgio.corani@supsi.ch)

'''Project Description''' 

The person hired on this position will evenly share her/his working time on two main activities:

*Basic research, aiming at publications in highly rated journals and international conferences;

*Applied research, collaborating with industrial partners in cutting-edge projects.

A further cross-activity will be contributing to search for funding opportunities of both basic and applied research.

The involved research area regards natural language understanding (probabilistic language modeling, keyword extraction, text summarization), text mining (text classification, word embedding, topic models) and semantic analysis of the text.

'''Requirements''' 

*The position is for a young researcher who has already obtained a PhD on a topic relevant to Natural Language Processing and/or Text Mining;

*Master in informatics or other areas with strong emphasis on computation;

*Excellent programming skills and deep knowledge of libraries for natural language processing;

*Communication and collaboration skills.

*Proficiency in written and spoken in English.

'''Optional but preferential''' 

*Strong publications record;

*Capability of leading projects carried out with industrial partners on automatic analysis of documents;

*Good knowledge of machine learning algorithms and tools;

*Good knowledge of written and spoken Italian, or willingness to learn it in short times.

'''We offer''' 

*A tenure track position (degree of occupancy 100%)

*International working environment;

*Collaboration with a strong team of researchers in Machine Learning and Statistics (our publication record is available at: [http://ipg.idsia.ch]);

*Salary starting from 80,000 CHF / year (about 84,000 $/year)

'''Application''' 

Applicants should submit the following documents, written in English:

*curriculum vitae

*list of exams and grades obtained during the Bachelor and the Master of Science;

*list of three references (with e-mail addresses);

*brief statement on how their research interests fit the topics above (1-2 pages);

*publications list and possibly link to the thesis.

Applications should be submitted through the [http://www.form-ru.app.supsi.ch/view.php?id=276008 Application website]

== Postdoctoral position in Psychology at University of Pennsylvania==

* Employer: University of Pennsylvania

* Title: Postdoctoral Researcher

* Specialty: Computational Linguistics

* Location: Philadelphia, Pennsylvania

* Deadline: March 20th, 2018 (start date flexible)

* Date posted: February 27, 2018

* Contact email: Sudeep Bhatia (bhatiasu@sas.upenn.edu)

'''Project Description''' 

The researcher will study how word embeddings and related techniques can be used to model how people represent objects and events, and, in turn, predict human probability judgment, event forecasting, social judgment, risk perception, and consumer behavior.

'''Requirements''' 

Candidates should have completed (or should be about to complete) a PhD in Computer Science, Psychology , Cognitive Science, or related fields, and should be interested in applying natural language processing to address questions in Psychology, Policy, Economics, and Marketing. Applicants should have graduate-level expertise in natural language processing and machine learning.

'''Additional Details''' 

The position will be based in the Psychology department at the University of Pennsylvania, and will be supervised by Sudeep Bhatia. Lyle Ungar will serve as a second advisor. The postdoctoral researcher will also be encouraged to interact with the broader intellectual community at Penn. The appointment is expected to begin Sept 1, 2018 (start date is flexible). The term of hiring is one year, renewable for up to one additional year. The position is full time and there are no teaching or administrative responsibilities.

'''How to Apply''' 

Applications for the positions must be submitted by March 20th, 2018, to ensure full consideration. However, review of applications will continue until the position is filled. Applicants should email a curriculum vitae and contact information for two references to Sudeep Bhatia at bhatiasu@sas.upenn.edu.

== Postdoctoral Research Scientist: Computational Linguistics - Rochester Institute of Technology ==

* Employer: Rochester Institute of Technology

* Title: Postdoctoral Research Scientist

* Specialty: Postdoctoral Research Scientist: Computational Linguistics

* Location: Rochester, New York, United States

* Deadline: Open until filled

* Date posted: February 17, 2018

* Contact: Cecilia O. Alm ([mailto:coagla@rit.edu coagla@rit.edu])

* [https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25483&siteid=5289#jobDetails=1404561_5289 Job listing]

We invite applications for an interdisciplinary postdoctoral position with specialization in computational linguistics and/or technical or scientific methods in language science at Rochester Institute of Technology (RIT), in Rochester, NY. This is a one-year position with opportunity for renewal. The applicant should demonstrate a fit with our commitment to collaborate with colleagues across the university on research initiatives in Personalized Healthcare Technology. In addition to engaging in research projects, the right candidate will be able to teach a total of two courses per year - one course each in the College of Liberal Arts and the Golisano College of Computing and Information Sciences at RIT. The teaching assignment may be Computer Science Principles, Introduction to Language Science, Language Technology, Introduction to Natural Language Processing, Science and Analytics of Speech (acoustic and experimental phonetics), Spoken Language Processing (automatic speech recognition and text-to-speech synthesis), Seminar in Computational Linguistics, or another course depending on background.

'''Required Minimum Qualifications:''' 

* PhD., with training in Computational Linguistics, Linguistics, or an allied field

* Advanced graduate coursework in computational linguistics (natural language processing or speech processing), linguistics, or language science broadly

* Publication record and plan for research and grant seeking activities

* Ability to contribute in meaningful ways to our commitment to cultural diversity, pluralism, and individual differences

'''Required Application Documents:''' 

Cover Letter, Curriculum Vitae or Resume, List of References, Research Statement

'''How To Apply:''' 

Please apply at: [http://careers.rit.edu/staff http://careers.rit.edu/staff]. Click the link for search openings and in the keyword search field, enter the title of the position or 3599BR.

== Postdoctoral Research Fellow: Automated Text Analysis - University of Michigan ==

* Employer: University of Michigan

* Title: Research Fellow

* Specialty: Postdoctoral Research Fellow: Automated Text Analysis

* Location: Ann Arbor, Michigan, United States

* Deadline: March 12, 2018, desired start June 2018

* Date posted: February 12, 2018

* [http://careers.umich.edu/job_detail/153763/postdoctoral_research_fellow_automated_text_analysis Official Job Listing - Application Page]

'''How to Apply''' 

A cover letter is required for consideration for this position and should be included as the first page of your CV. The cover letter should outline your specific interest in the position and outline skills and experience that directly relates to this position.

'''Job Summary''' 

A generously funded project (2016-2021) welcomes applicants with interest in and expertise in automated text analysis. The project, M-Write, brings together researchers from writing studies, the natural sciences, and computer programming to investigate how Writing-to-Learn pedagogies promote conceptual learning by students in large-enrollment gateway courses. Students write in response to carefully crafted assignments, participate in automated peer review, and then revise their drafts. Approximately 10,000 students have already participated in M-Write courses, which means that there is already a large corpus of student writing and peer review responses, with more being added each semester. We seek a specialist in automated text analysis to join the research team. Goals include principled corpus compilation, analysis, and development of corpus-driven algorithms to support student learning of key concepts highlighted in assignments.

This position will be a 12-month Post-Doctoral Fellowship beginning in June 2018 with possibility of renewal. The salary is negotiable.

'''Responsibilities'''

* Retrieve and create corpora for NLP and associated linguistic analysis

* Develop and test systems for identifying students who appear to lack key concepts as defined by lexical and grammatical structures, discourse analysis, and possible sentiment analysis

* Design a data warehouse that will facilitate the ability to collect, manage, and archive data including student interviews, student surveys, student writing samples, and academic and demographic data for students in order to conduct research leading to peer-reviewed publications, and future external funding

* In collaboration with other project staff collect, manage, and archive data including student interviews, student surveys, student writing samples, and academic and demographic data for students in order to conduct research that could lead to peer-reviewed publications

* Organize, synthesize, and analyze project data, and write co-authored papers with project PIs for peer-reviewed articles

'''Required Qualifications''' 

Ph.D. in computational linguistics, natural language processing, machine learning, cognitive linguistics, sentiment analysis or related area. Previous research experience in textual analysis in terms of syntax (e.g. parts of speech tagging), semantics (e.g. topic segmentation) and discourse analysis is essential. Research in statistical modeling is also required. Strong computer science skills are essential, and data warehouse design skills are highly desired. Background in the theory and research of writing-to-learn pedagogies and experience with educational technology in natural language processing are desired but not required.

'''Background Screening''' 

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act.

'''U-M EEO/AA Statement''' 

The University of Michigan is an equal opportunity/affirmative action employer.

== CU Boulder: Postdoc in Machine Learning with an Emphasis on Speech and Language Processing ==

* Employer: University of Colorado Boulder

* Title: Postdoctoral Associate

* Specialty: Machine Learning, Speech and Language Processing

* Location: Boulder, Colorado, United States

* Deadline: Ongoing, desired start August 2018

* Date posted: February 9, 2018

* Contact: [mailto:sidney.dmello@colorado.edu Dr. Sidney D’Mello]

'''Postdoc in Machine Learning with an Emphasis on Speech and Language Processing''' 

(Department of Computer Science and Institute of Cognitive Science at the University of Colorado Boulder)

The Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral research associate starting August 2018 for one year and renewable for a second (and third) year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.

The successful candidate will conduct research in machine learning applied to speech and language processing to solve challenging, but impactful, real-world problems. He/she will participate in the development and application of advanced machine learning techniques (e.g., deep recurrent neural networks) to multi-party speech data collected in authentic contexts (e.g., classroom discourse, small group collaborative problem solving).

The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science and the Institute of Cognitive Science.

The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop new technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills by mentoring students, and gain expertise in co-authoring grant proposals.

'''Required'''

* Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire

* Research experience in advanced machine learning (e.g., deep learning, probabilistic graphical models)

* Evidence of a strong publication record in the aforementioned areas

'''Desired'''

* Research experience in one or more of the following areas: acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling

'''Job Details'''

* One year initial position with possible extension to a second and third year based on performance and availability of funds

* Desired start date is August 2018. However, start date is negotiable

* Competitive salary with benefits commensurate with qualifications

'''How to Apply''' 

Please complete the following form: https://tinyurl.com/CUPostDoc1 and upload the following required documents: (1) cover letter, (2) current CV, and (3) one or two representative publications '''as a single PDF''' document named '''FirstNameLastName.pdf'''.

Additional documents will be required from candidates selected for further review after the initial documents are received: (4) – The document uploaded for Proof of Degree can be a Transcript which shows the date the degree was conferred; Copy of Diploma; or official letter from the Registrar or the Dean of the School or College conferring the degree; and (5) – List of references

'''About the University of Colorado and the City of Boulder''' 

The University of Colorado Boulder is a widely recognized and respected research university in the U.S. Its 11 research institutes house more than 900 researchers, students, and staff, making a major contribution to the research infrastructure of the university and local economy. Boulder is one of the 34 public research institutions belonging to the Association of American Universities (AAU). It contributes to the local community via research partnerships, education opportunities, and development projects.

The city of Boulder hosts thriving tech industries, supports a renowned entrepreneurial community, has some of the region's best restaurants, and is home to many federal research labs. There are endless ways to enjoy Boulder's 300-plus days of sunshine a year — from the hundreds of miles of hiking and biking trails to some of the country's finest microbrews. It's also quick and easy to get around by bus or bike and a quick 25 mile ride to nearby Denver.

'''Special Instructions to Applicants''' 

The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.

The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at [mailto:adacoordinator@colorado.edu adacoordinator@colorado.edu].

== Full-time Researchers, IBM Research - Almaden ==

* Employer: [http://research.ibm.com/labs/almaden/index.shtml IBM Research - Almaden]

* Title: Research Staff Member

* Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas

* Location: San Jose, California, USA

* Deadline: June 1, 2018

* Date posted: January 31, 2018

* Contact: Yunyao Li (yunyaoli {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)

IBM Research - Almaden is looking for talented researchers with background in Natural Language Processing and Machine Learning to join the Natural Language Processing, Entity Resolution and Discovery Department. We are actively building the next-generation knowledge engineering platform for the creation, maintenance and consumption of "industry-specific" knowledge bases from a large number of (un/semi)structured public, licensed and enterprise content sources. Such industry-specific knowledge bases are the foundation of many emerging AI services and applications.

Such a platform needs to support the entire life cycle for knowledge engineering including:

* Creation, maintenance and evolution of domain schema to capture domain concepts of interest

* Scalable systems, tools and methodologies to support the development of individual analytic stages involved in creating knowledge from multiple sources, including text analytics, entity resolution and integration, cleansing, data transformations and machine learning

* Domain adaptability and easy-to-use interfaces for key user personae for the individual analytic stages

* Scalable content services infrastructure that enables production-level deployment of these analytic workflows with support for continuous monitoring, introspection and recovery in the knowledge base creation process

* Techniques and methods for scalable and flexible indexing and querying support over the knowledge base supporting structured and search style queries, entity queries, as well as ad-hoc and exploratory queries

* Easy-to-use knowledge consumption interfaces for both human and machine consumption including support for discovery and ad-hoc NLQ driven interfaces

* Incorporating crowd sourcing and continuous evolution of the system through learning from user interactions

The research builds upon and extends successful projects from our group, which have resulted in significant academic, industrial and open source impact.

* SystemT: http://researcher.watson.ibm.com/researcher/view_group.php?id=1264

* Midas: http://researcher.watson.ibm.com/researcher/view_group.php?id=2171

* SystemML: http://researcher.watson.ibm.com/researcher/view_group.php?id=3174

The research is being conducted in close collaboration with the IBM Watson division and multiple global IBM Research labs (Australia, India, and Zurich), with focus around demonstrating scalable knowledge base construction in multiple industry domains (e.g., Healthcare, Financial and consumer domains).

We are currently looking for talented researchers with interest in system design and implementation as well as experience in one or more areas relevant to the knowledge engineering life cycle as described above, particularly those with background in Natural Language Processing and Machine Learning. You will participate in cutting edge research, build at industrial scale, and keep connected to the larger research community by regularly publishing papers and partnering with universities.

'''Required'''

* Bachelor's degree or equivalent in Computer Science, related technical field or equivalent practical experience.

* Programming experience in one or more of the following: Java, C, C++ and/or Python.

* Experience in Natural Language Processing, Computational Linguistics, Machine Learning, Large-Scale Data Management, Data Mining or Artificial Intelligence

* Contribution to research communities and/or efforts, including publishing papers at conferences such as ACL, EMNLP, NIPS, AAAI, ICML, SIGMOD, VLDB, and KDD.

'''Preferred'''

* PhD in Computer Science, related technical field or equivalent practical experience.

* Relevant work experience, including experience working within the industry or as a researcher in a lab.

* Ability to design and execute on research agenda.

* Strong publication record.

== PhD-level Researchers, AIPHES, Darmstadt/Heidelberg ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] or [http://www.cl.uni-heidelberg.de/ Ruprecht Karls University Heidelberg], Germany

* Title: Doctoral researcher

* Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas

* Location: Darmstadt or Heidelberg

* Deadline: February 11, 2018

* Date posted: January 21, 2018

* Contact: [https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/ AIPHES recruitment form]

PhD positions in DFG Graduate School AIPHES: Natural Language Processing and Computational Linguistics

The Research Training Group [http://www.aiphes.tu-darmstadt.de/ “Adaptive Information Preparation from Heterogeneous Sources” (AIPHES)], which has been established in 2015 at Technische Universität Darmstadt and at Ruprecht Karls University Heidelberg is filling several positions for three years,starting as soon as possible. Positions remain open until filled.

The positions provide the opportunity to obtain a doctoral degree in the research area of the training group with an emphasis, e.g., in opinion and sentiment - extrapropositional aspects of discourse, in natural language processing tasks such as structured summaries of complex contents, in content selection and classification enhanced by reasoning, or a related area. The group will be located in Darmstadt and Heidelberg. The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.

The goal of AIPHES is to conduct innovative research in knowledge acquisition on the Web in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, computer vision, and automated quality assessment will be developed. AIPHES will investigate a novel, complex scenario for information preparation from heterogeneous sources. It interacts closely with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.

Participating research groups at Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych), Machine Learning (Prof. Kersting), Visual Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at Ruprecht Karls University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of the Heidelberg Institute for Theoretical Studies (HITS).

AIPHES emphasizes close contact between the students and their advisors with regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and will actively support its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.

'''Prerequisites'''

We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be willing to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

The [https://www.informatik.tu-darmstadt.de/ Department of Computer Science of TU Darmstadt] is regularly ranked among the top ones in respective rankings of German universities. [http://www.cl.uni-heidelberg.de/ The Institute for Computational Linguistics (ICL)] of the Ruprecht Karls University Heidelberg is one of the largest centers or computational linguistics both in Germany and internationally. The ICL and the NLP department of the HITS jointly run the graduate program [http://semproc.cl.uni-heidelberg.de/ “Semantic Processing”] with an integrated research training group “Coherence in language processing: Semantics beyond the sentence”, which has a close connection to the topics in computational linguistics of AIPHES.

Applications should include a motivational letter that refers to one or two of the planned research areas of AIPHES, a CV with information about the applicant’s scientific work, certifications of study and work experience, as well as a thesis or other publications in electronic form. Application materials must be submitted via the following form by February 11th, 2018:

https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/

In addition, applicants should be prepared to solve a programming and a reviewing task in the first two weeks after their application.

== Associate Research Scientist, UKP Lab, TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany

* Title: Associate Research Scientist

* Specialty: Interactive text analysis

* Location: Darmstadt

* Deadline: February 16, 2018

* Date posted: January 21, 2018

* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist

(PostDoc- or PhD-level; for an initial term of two years)

in the areas of Interactive Text Analysis, the UKP Lab is looking for a researcher with a background in Natural Language Processing and Software Development to work on the project [https://www.ukp.tu-darmstadt.de/research/current-projects/inception/ INCEpTION] funded by the German Research Foundation (DFG). The project is developing a comprehensive interactive text analysis platform to improve efficiency and to enable new ways of exploring, annotating and analyzing large-scale text corpora through the use of assistive features based on machine-learning.

We ask for applications from candidates from Computer Science with a specialization in Natural Language Processing, Text Mining, or Machine Learning, preferably with expertise in research and development projects, and strong communication skills. The successful applicant will work on research and development activities regarding text annotation by end-users (researchers, analysts, etc.), information recommendation, and create the corresponding text analysis platform. Ideally, the candidates should have demonstrable experience in designing complex (NLP and/or ML) systems (frontend and backend), in applying NLP-related Machine Learning-based methods, and strong programming skills especially in Java. Experience with neural network architectures and demonstrable engagement in open source projects are strong pluses.

The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), with a rapidly developing focus on Interactive Machine Learning and who provide a range of high-quality open source software packages for interactive and automatic text analysis to research and industry communities.

UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent work environment. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasizes NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest standards, cooperative work style and close interaction of team members.

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference.Please send the applications to:[mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 16.2.2018. The positions are open until filled. Later applications may be considered if the position is still open.

Employment opportunities, postdoctoral positions, summer jobs

2019-08-09T22:46:46Z

ETSOC:

== Associate Research Scientist, Speech ; EDUCATIONAL TESTING SERVICE; Princeton New Jersey ==

Educational Testing Service (ETS), with headquarters in Princeton, NJ, is the world's premier educational measurement institution and a leader in educational research. With more than 3,400 global employees, we develop, administer and score more than 50 million tests annually in more than 180 countries at more than 9,000 locations worldwide. We design our assessments with industry-leading insight, rigorous research and an uncompromising commitment to quality so that we can help education and workplace communities make informed decisions.

ETS's Research & Development division has an opening for an associate research scientist in the Speech area of the NLP & Speech research center. The projects in this research group focus on the application of NLP, speech, dialogue, and multimodal processing algorithms in automated scoring capabilities for assessment and learning tasks involving constructed responses (such as essays and spoken responses). In addition to its signature automated scoring systems for text and speech assessments, the group is actively pursuing technology innovation in education and learning spaces by performing foundational research, prototyping next-generation capabilities, and collaborating with academic and industry partners. The NLP & Speech research group currently comprises around 20 PhD-level research scientists, 10 research engineers, and 10 research assistants and administrative staff.

This is an excellent opportunity to be part of a world-renowned research and development team and have a significant impact on existing and next-generation NLP, speech, dialogue, and multimodal systems and their use in educational applications.

Responsibilities:
* Conceptualizing, proposing, obtaining funding for, and directing small projects in the area speech processing for educational applications and assisting in moderate-to-major research projects.
* Assist in generating or contributing to new knowledge or capabilities in the field of speech processing and in applying that new knowledge and capabilities to existing and/or new ETS products and services. Some speech processing research areas that are relevant to ETS R&D include (but are not limited to) automatic speech recognition for non-native speakers of English, voice biometrics, computer-assisted pronunciation training, and automated speech scoring.
* Participate in setting substantive research and development goals and priorities for a group or initiative within a vice presidential area.
* Develop proposals and budgets for small projects and/or assist in development for moderate-to-major ones.

Requires:
* Ph.D. in Computer Science, Computational Linguistics, Electrical Engineering, Natural Language Processing, Linguistics, or a similar area with major education in speech processing.
* At least one year of independent substantive research experience in speech processing is required. Experience can be gained through doctoral studies.
* Practical expertise with speech processing tools (e.g., kaldi), experience with machine learning toolkits (e.g., Weka, scikit-learn), and fluency in at least one major programming language (e.g. Java, Python).
* Practical experience with deep learning paradigms and toolkits (e.g., TensorFlow, pytorch, Keras) is highly desirable.
* Documented contributions to research communities and a strong publication record and experience I system building and prototyping are preferred.
We offer a competitive salary, comprehensive benefits, possible relocation assistance and excellent opportunities for professional and personal growth. For a full list of position responsibilities and to apply please visit the following link: Associate Research Scientist, Speech https://etscareers.pereless.com/index.cfm?fuseaction=83080.viewjobdetail&JID=290092&BUID=2538&cid=83080

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of Women and Minorities.

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of protected Veterans and Individuals with Disabilities.

EDUCATIONAL TESTING SERVICE is a Drug-free workplace.

Apply Here: http://www.Click2Apply.net/bk2nyzrv9cwpqgdr

PI112670813

== Full-Time Research Engineer, New York University ==

* Employer: New York University

* Title: Research Engineer

* Specialty: Open-source software, pretraining and transfer learning

* Location: New York, USA

* Deadline: July 31, 2019 (deadline for full consideration, late applications may be accepted)

* Date posted: July 17, 2019

* Contact: Sam Bowman <bowman@nyu.edu>

'm hiring a full-time research engineer. If you're interested in transitioning from software engineering to NLP/ML research, and you'd be up for a stint in an academic lab, there's more information and an application from here: https://apply.interfolio.com/65666

== PhD in Biomedical Information Extraction, The University of Manchester, UK ==

* Employer: University of Manchester

* Title: PhD in Biomedical Information Extraction

* Specialty: Natural Language Processing, Text Mining, Machine Learning

* Location: Manchester, UK

* Deadline: May 26, 2019

* Date posted: May 10, 2019

* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

The National Centre for Text Mining (http://www.nactem.ac.uk), School of Computer Science in collaboration with the Faculty of Biology, Medicine and Health, The University of Manchester, offer a PhD scholarship to advance research in neural information extraction applied to cancer mechanisms.

Candidates must have a minimum upper second class first degree in Computer Science and an MSc in Computer Science or a related discipline. Experience in machine learning and neural networks applied to NLP are highly desirable, as is the ability to work in an interdisciplinary setting.

Further information can be obtained here: http://nactem.ac.uk/newsitem.php?item=393

== PhD in Biomedical Information Extraction, The University of Manchester, UK ==

* Employer: University of Manchester

* Title: PhD in Biomedical Information Extraction

* Specialty: Natural Language Processing, Text Mining, Machine Learning

* Location: Manchester, UK

* Deadline: May 26, 2019

* Date posted: May 10, 2019

* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

The National Centre for Text Mining (http://www.nactem.ac.uk), School of Computer Science in collaboration with the Faculty of Biology, Medicine and Health, The University of Manchester, offer a PhD scholarship to advance research in neural information extraction applied to cancer mechanisms.

Candidates must have a minimum upper second class first degree in Computer Science and an MSc in Computer Science or a related discipline. Experience in machine learning and neural networks applied to NLP are highly desirable, as is the ability to work in an interdisciplinary setting.

Further information can be obtained here: http://nactem.ac.uk/newsitem.php?item=393

== 24-month Postdoctoral Position, IRISA (France, Lannion), Paraphrase Generation / Natural Language Generation ==

* Employer: [https://www.univ-rennes1.fr/ University of Rennes 1]

* Title: Postdoctoral Researcher

* Specialty: Natural language processing

* Duration: 24 months

* Location: Lannion, France

* Deadline: until filled

* Date posted: April 23, 2019

* Contact: Gwénolé Lecorvé (gwenole.lecorve@irisa.fr), Jonathan Chevelu (jonathan.chevelu@irisa.fr)

'''Overview'''

IRISA [https://www.irisa.fr/] is the largest research laboratory dedicated to computer science in France, hosting more than 800 people and 40 research teams. Its activities spans all the fields of computer science. It is located in Rennes, Lannion, and Vannes.

The Expression team [https://www-expression.irisa.fr/] works on natural language processing (NLP), be it through texts, speech or gestures. In particular, it focuses on the expressive components of the human languages.

The opened position is part of the ANR TREMoLo project [http://tremolo.irisa.fr] hosted by the team and aimed at transforming the language register of texts, for instance mapping a text from the formal register to the casual one. This involves work on linguistic characterization, pattern mining and paraphrase generation. The activities are conducted on the French language.

The recruited person will work on a paraphase generation and propose solution to integrate register-specific stylistic constraints. She/he is expected to investigate on the use of statistical and neural paraphrasing systems, that is:

* Training of a baseline systems using either statistical or neural approaches.

* Intregration of constraints formulated as sequential patterns.

* Organization of evaluation campaigns.

'''Job requirements'''

* PhD in natural language processing or machine learning

* Top academic and publication records

* Good communication skills

* Team work experience

* Knowledge in French is a plus but is not required.

== Postdoctoral Position Available in Natural Language Processing and Human-Robot Interaction, Army Research Lab ==

* Employer: [https://www.orau.org/arlfellowship/ US Army Research Laboratory]

* Title: Postdoctoral Researcher

* Specialty: Natural language processing, human-robot interaction, dialogue systems

* Location: Adelphi, Maryland, United States with ~8 weeks of travel per year to Boston

* Deadline: April 30, 2019 (or until filled)

* Date posted: April 15, 2019

* Contact: Matthew Marge (matthew.r.marge.civ@mail.mil)

'''Overview'''

The [https://www.arl.army.mil US Army Research Laboratory] (ARL) is welcoming applications for a one-year renewable (up to 3 years) postdoctoral position at the intersection of natural language processing (NLP) and human-robot interaction (HRI), focusing on dialogue with robots. The successful candidate will contribute to the research and development of the project, “Learning about the Physical World Autonomously through Information-Theoretic Dialogue”, funded by the Office of the Secretary of Defense's Laboratory University Collaboration Initiative (LUCI) Fellowship. The goal of the project is to investigate techniques for robots to learn, from natural language dialogue, about objects and actions in the physical world.

In support of this effort, ARL is looking for an individual with a PhD or equivalent experience, with interest and a background in human-robot interaction, natural language processing, symbol grounding, and/or dialogue systems. We plan to develop an approach to detecting uncertainty about objects and actions using multiple modalities (e.g., language and vision), so that robots can initiate natural language questions that humans can answer that maximize the agent's information gain in a situation.

The project is supervised by Dr. Matthew Marge (ARL), with co-PI Dr. Gordon Briggs (NRL), and faculty collaborator Prof. Matthias Scheutz (Tufts University). The successful candidate will collaborate with the PIs on designing human-robot interaction experiments and developing techniques to support human-robot dialogue systems.

The position is available immediately with a duty station at the Adelphi Laboratory Center (ALC), Adelphi, MD (Washington, D.C. metro area), with extended travel (~8 weeks per year) to Boston, MA to visit the Human-Robot Interaction Lab at Tufts University and periodic travel to the Laboratory for Autonomous Systems Research at the Naval Research Laboratory, Washington, D.C.

'''Job requirements:'''

* Ph.D. or equivalent research experience in computer science, artificial intelligence, computational linguistics, human-robot interaction, computer engineering or related field.

* U.S. citizenship is preferred.

To learn more about this position, or to apply, please send questions or a CV to Dr. Matthew Marge at matthew.r.marge.civ@mail.mil.

== Associate Research Scientist in Natural Language Processing, UKP Lab, TU Darmstadt ==

* Employer: [https://www.informatik.tu-darmstadt.de/ukp/ukp_home/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany

* Title: Associate Research Scientist

* Specialty: Natural Language Generation, Semantics and Discourse Processing, Multi-document Information Consolidation

* Location: Darmstadt

* Deadline: April 30, 2019 (or until filled)

* Date posted: April 12, 2019

* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The [https://www.informatik.tu-darmstadt.de/ukp/ukp_home/ Ubiquitous Knowledge Processing (UKP) Lab] at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

'''Associate Research Scientist''' 

'''(PhD-level; for an initial term of two years)'''

This position should further strengthen the group’s profile in one or more areas of Natural Language Processing (NLP), such as natural language generation, semantics and discourse processing, or multi-document information consolidation.

UKP Lab is a research group comprising over 30 team members who work on various aspects of data-driven NLP and machine learning with their novel applications in various domains, e.g. conversational IR systems, scientific literature analysis, or social media mining.

We ask for applications from candidates in Computer Science with a specialization in Natural Language Processing or Text Mining, preferably with prior expertise in the relevant areas of computer science and strong programming skills. Experience with neural network architectures and demonstrable engagement in open source projects are strong advantages. Strong communication skills in English are a must.

UKP’s provides an excellent cooperation network with both top academic and industrial partners in Artificial Intelligence (AI), and a supportive research environment within the lab. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique profile around AI and the DFG-funded Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) emphasize NLP, machine learning, and scalable infrastructures for the assessment and aggregation of information. UKP Lab is a high-profile research group committed to cutting-edge research, dynamic operations, cooperative work style and close interaction of team members. The selected candidates will have an opportunity for professional growth according to their seniority level.

Applications should include a detailed CV, a motivation letter and an outline of previous work or research experience (if available).

Applications from women are particularly encouraged.

All other things being equal, candidates with disabilities will be given preference.

Please submit your application via the following form by April 30th, 2019: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment.

The position is open until filled.

== Senior Research Scientist - Natural Language Processing at Bosch Research ==

* Employer: Bosch Research

* Title: Senior Research Scientist (Principal level position also available)

* Specialties: Natural language processing, natural language understanding, information retrieval, question answering, information extraction.

* Location: Sunnyvale, CA, USA

* Deadline: N/A (The position is open until filled)

* Date Posted: March 7, 2019

* Website: http://smrtr.io/_cXw

'''Company Description'''

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design. In all areas we work in close collaboration with our partners at leading US universities, leading-edge industry partners, and other worldwide Bosch research, development, and marketing units.

The focus of our global HMI research includes Visual Computing, Audio and Language Computing, Conversational AI, Smart Wearables and Haptics, User Experience (UX) and Human Factors, etc. We develop intuitive, interactive and intelligent solutions to enable an inspiring UX for Bosch products and services in application areas such as autonomous driving, car infotainment and driver assistance systems (ADAS), Industry 4.0 and Internet of Things (IoT), security systems, smart home and building solutions, health care, and robotics.

As a part of the global Human Machine Interaction research unit, our Language and Audio Computing group is responsible for shaping the future user experience of Bosch products by developing cutting-edge technologies and prototype systems in the fields of text and audio processing, including natural language processing, natural language understanding, question answering, information retrieval, and audio signal processing. We work on solutions to hard challenges of truly understanding the human language and audio signals, extracting the semantics from text and audio, and enabling natural, intuitive and intelligent HMI and personal assistance. We work with internal partners at various Bosch business units to transfer our ideas and solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals, e.g., ACL, EMNLP, NAACL, COLING, AAAI, ISWC, Interspeech, ICASSP

'''Job Description'''

* Drive advanced research and engineering of Natural Language Processing (NLP) technologies

* Apply research results to Bosch prototypes, products and services of information retrieval, question answering, conversational AI, and information extraction.

* Working together with Bosch business units to integrate the resulting system/software into Bosch platform with high quality implementation

* Summarize research findings in high-quality paper and/or patent submissions

== Natural Language Processing Research Associate (KTP Associate) in Wilmslow, Cheshire, UK ==

* Employer: University of Manchester

* Title: Natural Language Processing Research Associate (KTP Associate)

* Specialty: Natural Language Processing, Text Mining, Machine Learning

* Location: Wilmslow, Cheshire, UK

* Deadline: April 7, 2019

* Date posted: March 7, 2019

* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

An exciting opportunity has arisen for an ambitious graduate who has the ability and confidence to undertake a Knowledge Transfer Partnership (KTP) project between the National Centre for Text Mining (NaCTeM), University of Manchester and Bott and Co.

Bott and Co is a multiple award-winning solicitors based in Wilmslow, near Manchester, with particular expertise in flight delay compensation, holiday sickness and road traffic accident claims.

The successful KTP associate will work with supervisors from both NaCTeM and Bott on a 30 month project, which has the overall aim of building a state-of-the-art Natural Language Processing (NLP) system for legal text mining and predictive modelling (PM).

The position will provide you with a unique opportunity to apply state-of-the-art methods in NLP and PM in the scope of legal analysis.

This post is funded through a Knowledge Transfer Partnership (KTP) award, a UK Government scheme intended to promote sustained and mutually beneficial relationships between universities and industry.

ESSENTIAL SKILLS

* BSc and MSc degree in Computer Science or related areas

* Specialist (PhD-level) knowledge in Natural Language Processing or extensive experience in the development of NLP/text analysis software

* Experience in use of deep learning for NLP/text mining

* Experience of machine learning (especially of context aware linear models for multi-task learning, and of active learning) for NLP/text mining

* Experience of probabilistic inference, predictive modelling and decision making

* Software development experience in Java or Python

LOCATION - Bott and Co, Wilmslow, Cheshire

SALARY - £32,236 to £39,609 per annum plus performance bonus and £5,000 personal development budget

DURATION - 30 months - starting ASAP

CLOSING DATE - 07/04/2019

FURTHER DETAILS AND APPLICATION FORM - https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16973

== Postdoc position, KU Leuven ==

*Employer: Department of Computer Science, KU Leuven

*Title: Postdoctoral Researcher

*Speciality: Representation learning in the context of natural language understanding

*Location: Leuven, Belgium

*Deadline: February 28, 2019

*Date posted: February 13, 2019

*Contact: sien.moens@cs.kuleuven.be

We offer a two-year postdoctoral position (extendable to four years) funded by the ERC (European Research Council) Advanced Grant CALCULUS “Commonsense and Anticipation enriched Learning of Continuous representations sUpporting Language UnderStanding” (http://calculus-project.eu). The position focuses on natural language understanding but gives possibilities to research topics in one or more of the following fields: machine learning (especially semi-supervised learning, transfer learning, incremental learning, deep learning and latent variable models), multimodal processing of language and visual data, learning the grounded meaning of language from various contexts in which language is used (e.g., physical, language and social), representation learning at the word, phrase, sentence or discourse level considering various contexts, learning commonsense knowledge about the world from multimodal data, multimodal grammar induction, and inference models for language understanding. The successful candidate will work on innovative natural language understanding research. He or she will be given the opportunity for personal development beyond research, for example by contributing to teaching (e.g., at the undergraduate and graduate levels). For an outstanding candidate there is the potential to grow into an assistant professorship.

KU Leuven ranks among the top 50 universities in THE World University Rankings 2019. The alumni of the LIIR lab have obtained outstanding positions in academics and industry (see https://liir.cs.kuleuven.be/people.php).

'''Responsibilities'''

*Perform research in language understanding and novel machine learning paradigms in the frame of the CALCULUS project.

*Carry out some teaching duties, which may include lectures/exercise sessions, the organization of student seminars, and the supervision of bachelor and master theses.

*Help in the supervision of PhD researchers of the CALCULUS team.

'''Profile'''

*You have (or are near completion of) a PhD in Computer Science (or a related field).

*You have a motivated interest in fundamental research in language understanding and machine learning.

*You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in relevant journals with high impact factor.

*You are good at collaborating with and leading others.

*You have a very good knowledge of English, both spoken and written.

'''Offer'''

*We offer a 2 x two-year postdoctoral position, starting in the summer of 2019.

*We offer a competitive wage and yearly budget to attend conferences and for short research stays.

'''Interested'''

Please contact Prof. dr. Marie-Francine Moens, tel.: +32 16 32 53 83, mail: sien.moens@kuleuven.be.

Excellent candidates will be invited for an interview (possibly via Skype). The position will be closed when a valuable candidate is found.

== Postdoc position, Masaryk University ==

*Employer: Machine Learning and Data Processing Department, Faculty of Informatics, Masaryk University

*Title: Postdoctoral Researcher

*Speciality: natural language processing, knowledge representation and reasoning

*Location: Brno, Czech Republic

*Deadline: March 1, 2019

*Date posted: January 15, 2019

*Contact: Ales Horak: hales@fi.muni.cz, subject "Postdoc 2019"

*Application link: https://www.muni.cz/en/about-us/careers/vacancies/43809

The Faculty of Informatics of Masaryk University (FI MU) in Brno, Czech Republic, invites applications for Post-doctoral positions in all areas of Computer Science. Brno, the second largest city in the Czech Republic, see https://www.gotobrno.cz/en/, is an attractive city for students and young researchers. The Faculty has a strong interest in attracting applications from abroad.

The postdoctoral positions are awarded for one year with an extension to the second year after a review. Gross salary is 50,000 CZK per month which, with an optional 10% bonus, sums to more than 25,500 EUR per year. Additional funds of 4,000 EUR per year will be available for travel and material expenses. Preferred start date of the contract is in June/July 2019, but other options can be negotiated without hassle.

'''Requirements'''

Candidates must have a PhD degree not older than 4 years at the time of application, from a university outside of the Czech and Slovak Republics. In case that the PhD defense is not yet finished, the candidate must also provide an official letter certifying that his/her PhD thesis has already been submitted for defense and outlining the expected schedule of the PhD defense. Candidates with a PhD degree from a Czech or Slovak university may also be considered if they prove at least two years of post-doctoral research experience abroad.

'''Evaluation'''

All candidates are expected to be fluent in English, while prior knowledge of Czech is not required. Candidates will be evaluated on the ground of their strong international research record, and preference will be given to those whose research areas match the research directions of the Faculty of Informatics; see http://www.fi.muni.cz/research/.

'''Application'''

Applications must be submitted electronically at the attached www address - the electronic application form (only reference letters, if not given directly to the applicant, may be sent by email). The applicants should provide the following documents with their application:

*An academic CV, a list of publications, and a motivation letter.

*A scanned copy of the PhD diploma, or a letter certifying submission of doctoral thesis for the defense.

*One external reference letter, and one support letter (expression of interest) from a member of the academic staff of the Faculty of Informatics of Masaryk University. These letters, if cannot be attached by the applicant him/herself, may be sent to the e-mail address hales@fi.muni.cz.

All interested applicants are strongly advised to informally contact their expected host research groups at the Faculty of Informatics well ahead of submitting their application.

'''Contact'''

Assoc.Prof. Ales Horak, Head of the Department of Machine Learning and Data Processing

Submission of applications: https://www.muni.cz/en/about-us/careers/vacancies/43809

E-mail (for inquiries and reference letters): hales@fi.muni.cz, subject "Postdoc 2019"

== Two postdoctoral positions, University of Pittsburgh ==

*Employer: The Computational Social Dynamic Lab, University of Pittsburgh

*Title: Postdoctoral Research Associate

*Speciality: computational social science, NLP, machine learning.

*Location: Pittsburgh, PA, USA

*Deadline: January 15, or until position filled

*Date posted: December 06, 2018

*Contact: Yu-Ru Lin (email: <yuruliny@gmail.com> | web: http://yurulin.com | lab: https://picsolab.github.io/)

The Computational Social Dynamic (PICSO) Lab at the University of Pittsburgh is seeking two postdoctoral research associates for a computational social science project under the mentorship of Dr. Yu-Ru Lin and Dr. Rebecca Hwa. This highly interdisciplinary project aims to advance research methodology in revealing biases of different groups or cultures by analyzing social media data with cutting-edge methods of natural language processing and machine learning. The duration of the position is for one year, with the possibility of renewal. The compensation is competitive.

We welcome candidates who hold a PhD from a related background, including computational social science, computer science, computational linguistics, social psychology, sociology, political science, and applied mathematics. Particular priorities for hiring are: (1) knowledge and experiences in distributed semantic representation, sentiment analysis, and text mining methods, ideally demonstrated by publications in established venues (ACL, EMNLP, NIPS, ICML, KDD, etc.); (2) demonstrated ability to work with social media data; (3) prior experiences with computational social sciences a plus.

For full consideration, candidates should submit the following materials electronically '''''as a single PDF file''''' to Dr. Yu-Ru Lin at <yuruliny@gmail.com>:

# A brief statement of interest describing your relevant background

# Current CV

# The names and contact information for two references (letters of recommendation will be solicited from finalists)

# Two publications or other writing samples

Please include "PostDoc Application 2019" in the email subject line.

== Research Scientist Interns at Adobe Research, San Jose, California ==

*Employer: Adobe Systems Incorporated

*Title: Research Scientist Intern

*Speciality: NLP, machine learning, dialog, and question answering.

*Location: San Jose, CA, USA

*Deadline: March 1, 2019

*Date posted: December 06, 2018

*Contact: bui@adobe.com

We are looking for Master and/or Ph.D. students with a strong background in NLP, machine learning, dialog, and/or question answering to work on our Creative Assistant project and Document Question Answering project. See our recent publications here for further details: https://sites.google.com/site/trungbuistanford/Home/publications

== Assistant Professor Position at The University of Memphis ==

* Employer: University of Memphis

* Rank or Title: Assistant Professor

* Specialty: ML/NLP with particular interest in educational technologies

* Location: Memphis, Tennessee

* Deadline: 1/7/19 but applications accepted until search completed

* Date Posted: 11/28/18

* Contact email: cconnor2@memphis.edu

* Application link: [https://workforum.memphis.edu/postings/20504]

The Department of Computer Science at the University of Memphis is seeking candidates for an Assistant Professor position beginning Fall 2019. The candidate’s research will be jointly supported by the Department of Computer Science and the Institute of Intelligent Systems (IIS). Focus area for this position include Machine Learning, Data Mining, and Big Data. Candidates whose research areas complement the language & discourse or learning focus area of the IIS are particularly encouraged to apply. Candidates from minority and underrepresented groups are highly encouraged to apply. Successful candidates are expected to develop externally sponsored interdisciplinary research programs, teach both undergraduate and graduate courses and provide academic advising to students at all levels.

Applicants should hold a PhD in Computer Science, or related discipline, and be committed to excellence in both research and teaching. Salary is highly competitive and dependent upon qualifications.

The Department of Computer Science ([http://www.cs.memphis.edu]) offers B.S., M.S., and Ph.D. programs as well as graduate certificates in Data Science and Information Assurance, and participates in an M.S. program in Bioinformatics (through the College of Arts and Sciences). The Department has been ranked 55th among CS departments with federally funded research. The Department regularly engages in large-scale multi-university collaborations across the nation. For example, CS faculty led the NIH-funded Big Data "Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K)" and the "Center for Information Assurance (CfIA)".

The Institute for Intelligent Systems consists of 54 faculty members across 14 departments including Communication Sciences and Disorders, Computer Science, Engineering, Education, Linguistics, Philosophy and Psychology. The IIS offers a graduate certificate in Cognitive Science, a minor in Cognitive Science, and is affiliated with BA and MS programs in other departments. The IIS receives $4-5 million in external awards per year from federal agencies such as NSF, IES, DoD, and NIH. Further information about the Institute for Intelligent Systems can be found at [http://iis.memphis.edu].

Known as America’s distribution hub, Memphis ranked as America’s 6th best city for jobs by Glassdoor in 2017. Memphis metropolitan area has a population of 1.3 million. It boasts a vibrant culture and has a pleasant climate with an average temperature of 63 degrees.

Screening of applications begins immediately. For full consideration, application materials should be received by January 7, 2019. However, applications will be accepted until the search is completed.

To apply, please visit [https://workforum.memphis.edu/postings/20504]. Include a cover letter (please include a reference to this position as “CS-IIS”), curriculum vitae, statement of teaching philosophy, research statement, and three letters of recommendation. Direct all inquiries to Corinne O’Connor (cconnor2@memphis.edu).

A background check will be required for employment. The University of Memphis is an Equal Opportunity/Equal Access/Affirmative Action employer committed to achieving a diverse workforce.

== Research Associate in Text Mining, University of Manchester, UK ==

* Employer: University of Manchester

* Title: Research Associate in Text Mining

* Specialty: Text Mining

* Location: Manchester, UK

* Deadline: January 3, 2019

* Date posted: November 27, 2018

* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

We invite applications for the Research Associate in Text Mining, which is tenable initially for 12 months starting as soon as possible. The post is part of the Discovering Safety Programme funded by Lloyds Register Foundation in collaboration with the Health and Safety Executive. The purpose of this project is to use a combination of text mining and machine learning methods for retrieving and organising textual information pertinent to incident and inspection reports for search and risk classification.

Post Objectives:

1. To develop a search system based on clustering methods.

2. To contribute to development of entity linking for the application.

3. To develop a classification system for risk assessment.

You should have a PhD or equivalent in Computer Science with emphasis in Text Mining and Machine Learning in particular clustering and classification. Experience in named-entity recognition, entity linking and terminology extraction will be desirable. Appropriate security clearance may be required for the successful applicant.

* Salary : £32,236 - £39,609 per annum according to experienc

* Hours Per week: Full Time

* Contract Duration : 01 February 2019 until 31 January 2020

Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16445

== Research Fellow in Natural Language Processing and Text Mining, University of Manchester, UK ==

* Employer: University of Manchester

* Title: Research Fellow in Natural Language Processing and Text Mining

* Specialty: Text Mining

* Location: Manchester, UK

* Deadline: January 3, 2019

* Date posted: November 23, 2018

* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

We invite applications for the above position to increase the University of Manchester's capacity in Natural Language Processing and Text Mining, which is available immediately for an initial 5 year period leading to an open-ended academic position.

The Research Fellow will further strengthen the research profile of the text mining research group at the University of Manchester and the National Centre for Text Mining. We are looking for an outstanding candidate that has a vision for making a significant impact on natural language processing, text mining research and its applications. The Fellow will be part of the Discovering Safety Programme project funded by Lloyds Register Foundation in collaboration with the Health and Safety Executive. This post is one of the key first posts to be appointed in the Thomas Ashton Institute for Risk and Regulatory Research.

You will join the vibrant research environment of the Text Mining research group at the School of Computer Science and will be a member of the National Centre for Text Mining which is developing cross cutting and innovative approaches for text mining applications using NLP and machine learning.

As a member of the Thomas Ashton Institute, the Fellow will join, and help establish, a multidisciplinary centre of excellence and expertise, which offers an exciting opportunity for ground breaking and excellent research to inform both government regulatory regimes and industry practice.

* Salary : £40,792 to £50,132 per annum dependent upon experience

* Hours Per week: Full Time

* Contract Duration : Starting Immediately until 31 December 2023

Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16448

== Associate Research Scientist, UKP Lab, TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany

* Title: Associate Research Scientist

* Specialty: Interactive Text Analysis and Natural Language Processing Tools

* Location: Darmstadt

* Deadline: December 15, 2018 (or until filled)

* Date posted: November 22, 2018

* Contact: https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/

The [https://www.ukp.tu-darmstadt.de/ Ubiquitous Knowledge Processing (UKP) Lab] at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

'''Associate Research Scientist''' 

'''(PhD-level; for an initial term of two years)'''

to strengthen the group’s profile in the areas of ''Interactive Text Analysis'' and ''Natural Language Processing Tools''. The UKP Lab is an internationally recognized research institute with about 35 team members. We work on various aspects of ''Natural Language Processing'' (NLP), with a rapidly developing focus on Interactive Machine Learning. Besides, we provide a range of high-quality open source software packages for interactive and automatic text analysis to research and industry communities and collaborate with both academic and industrial partners.

We ask for applications from candidates in Computer Science with a specialization in Semantic Web Technologies and either Information Retrieval or Natural Language Processing, preferably with expertise in research and development projects, and strong communication skills in English and German.

The successful applicant will work on research and development for interactive text annotation by end-users (researchers, analysts, etc.). This includes neural network-based methods for knowledge graph construction and completion, interactive sequence labeling recommender systems, or semantic information retrieval. We integrate the results in a real-life collaborative text annotation software for large-scale interactive corpus analysis.

Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP and/or ML) systems (frontend and backend), in applying NLP-related Machine Learning-based methods (e.g. learning-to-rank, clustering, etc.), experience with information retrieval systems (e.g. Lucene, Solr, ElasticSearch) and relational databases (SQL), semantic web technologies (e.g. RDF, OWL, SPARQL), and strong programming skills especially in Java. Experience with neural network architectures (e.g. knowledge-base embeddings) and demonstrable engagement in open- source projects are a strong plus.

UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research focus "Data Science” and the Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasize NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals. In 2018, Darmstadt has achieved the first place in the category Cities of the Future in a ranking of German cities.

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please apply under https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/ by December 15, 2018. The positions are open until filled. Later applications may be considered if the position is still open.

== Associate Research Scientist, UKP Lab, TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany

* Title: Associate Research Scientist

* Specialty: Natural language processing

* Location: Darmstadt

* Deadline: December 15, 2018 (or until filled)

* Date posted: November 22, 2018

* Contact: https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/

The [https://www.ukp.tu-darmstadt.de/ Ubiquitous Knowledge Processing (UKP) Lab] at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

'''Associate Research Scientist''' 

'''(PhD- or (Senior-)PostDoc level; for an initial term of two years)'''

The UKP Lab is an internationally recognized research institute with about 35 team members. We work on various aspects of ''Natural Language Processing'' (NLP), with an emphasis on semantic text analysis and generation, argument mining, and interactive machine learning. Besides, we have a strong profile in deep learning for NLP, construction of large-scale benchmarks, or knowledge graphs. We collaborate with a wide range of both academic and industrial partners.

We are looking for candidates in Computer Science with a specialization in Natural Language Processing, preferably with expertise in research and development projects, prior publication experience, and strong communication skills. The research topics of the position may include: NLP in low-research settings, argument mining and retrieval, multimodal content processing, privacy-enhanced NLP as well as machine learning for NLP (deep reinforcement learning, neural network architectures). The successful applicant will work on research and development as part of a team in one of the areas above. We disseminate the results in top venues of the field and as free research software and datasets. The lab offers highly attractive options for personal growth and career development at all levels of the scientific career. Upon interest, additional qualifications in teaching and project management can be acquired.

UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research focus "Data Science” and the Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasize NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals. In 2018, Darmstadt has achieved the first place in the category Cities of the Future in a ranking of German cities.

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please apply under https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/ by December 15, 2018. The positions are open until filled. Later applications may be considered if the position is still open.

== Assistant Professor, Department of Linguistics and Translation, University of Montreal ==

* Employer: Department of Linguistics and Translation, University of Montreal

* Title: Assistant Professor (tenure-track)

* Specialty: Computational linguistics

* Location: Montreal, Canada

* Deadline: December 13, 2018

* Date posted: November 10, 2018

* Contact: Mireille Tremblay <mireille.tremblay.4@umontreal.ca > and https://ling-trad.umontreal.ca

The Département de linguistique et de traduction is seeking applications for a full-time tenure-track position at the rank of Assistant Professor in computational linguistics/natural language processing.

Responsibilities

The appointed candidate will be expected to teach at all three levels of the curriculum, supervise graduate students, engage in ongoing research and publication, and contribute to the academic life and reputation of the University. This person will play an important role in the development of the “Computational Linguistics” branch of our curriculum and in establishing cross-disciplinary collaborations within and outside of the University.

Requirements

* Ph.D. in linguistics, computer science, or a related field.

* Education in both linguistics and computer science, with a strong background in core linguistics.

* Demonstrated interest in using computational techniques in the study of language.

* Ability to teach in at least one of the core domains of linguistics.

* Excellent publication track record in computational linguistics.

* University teaching experience.

* Sufficient knowledge of written and spoken French.

Deadline: until December 13, 2018 inclusively

Treatment: Université de Montréal offers competitive salaries and a full range of benefits.

Starting date: On or after August 1st, 2019

Application

The application must include the following documents:

* a cover letter

* a curriculum vitæ

* copies of recent publications and research

Three letters of recommendation are also to be sent directly to the department chair by the referees.

Application and letters of recommendation must be sent to the chair of the Département de linguistique et de traduction at the following address:

Mireille Tremblay, directrice 

Département de linguistique et de traduction 

Faculté des arts et des sciences 

Université de Montréal 

C.P. 6128, succursale Centre-ville 

Montréal (QC) H3C 3J7 

Canada

Application and letters of recommendation may also be sent by email at the following address: mireille.tremblay.4@umontreal.ca

For more information about the Department, please consult its website at http://ling-trad.umontreal.ca

Université de Montréal is a Québec university with an international reputation. French is the language of instruction. To renew its teaching faculty, the University is intensively recruiting the world’s best specialists. In accordance with the institution’s language policy, Université de Montréal provides support for newly-recruited faculty to attain proficiency in French.

The Université de Montréal application process allows all regular professors in the Department to have access to all documents unless the applicant explicitly states in her or his cover letter that access to the application should be limited to the selection committee. This restriction on accessibility will be lifted if the applicant is invited for an interview.

Through its Equal Access Employment Program, Université de Montréal invites women, Aboriginal people, visible and ethnical minorities, as well as persons with disabilities to apply. During the recruitment process, our selection tools will be adapted to meet the needs of people with disabilities who request it. Be assured of the confidentiality of this information.

Université de Montréal is committed to the inclusion and the diversity of its staff and also encourages people of all sexual and gender identities to apply.

We invite all qualified candidates to apply at UdeM. However, in accordance with immigration requirements in Canada, please note that priority will be given to Canadian citizens and permanent residents.

== Software Engineer for Text Mining Applications at the University of Manchester ==

* Employer: National Centre for Text Mining, School of Computer Science, University of Manchester

* Title: Software Engineer

* Specialty: Text Mining

* Location: Manchester, UK

* Deadline: November 25, 2018

* Date posted: October 25, 2018

* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

Applications are invited for a Software Engineer post (full time) for a period of 5 years

The successful candidate will be part of the National Centre for Text Mining (http://www.nactem.ac.uk/) which is hosted by the School of Computer Science, joining a strong and dynamic team in text mining. The National Centre for Text Mining provides next-generation text mining services to the community. We use natural language processing techniques to build advanced search systems in a number of domains. We are seeking a self-motivated, creative and experienced software engineer (must have substantive post graduation experience) to enhance our team expertise particularly in the areas of wrapping text mining analysis workflows, software development for search engines bringing the benefits of text mining to end users, Web services, integrating text mining with knowledge bases, cloud deployment of services and advanced user interfaces.

Essential skills and experience include: Linux/unix, extensive experience of software design and development gained in a professional software development environment, experience of producing distributed solutions and of working with large datasets, Java or C++ with XML technologies, REST/SOAP Web services, knowledge of cloud/cluster computing/SaaS/PaaS, Maven.

* Salary : £40,792 to £50,132 per annum dependent upon experience

* Hours Per week: Full Time

* Contract Duration : Starting 1 January 2019 for 5 years

Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16308

== Assistant Professor, Department of Linguistics, University of Florida ==

* Employer: Department of Linguistics, University of Florida

* Title: Tenure-track Assistant Professor

* Specialty: computational language science

* Location: Gainesville, FL 32601

* Deadline: November 18, 2018

* Date posted: October 18, 2018

* Contact: Stefanie Wulff <swulff@ufl.edu> and https://apply.interfolio.com/56557

The University of Florida invites applications for a tenure-track appointment in computational language science at the rank of assistant professor, effective August 16, 2019. This is a 9-month position. Applicants are expected to have a Ph.D. in linguistics, computer science, or a closely-related field. Candidates should have an active research agenda studying language from a computational perspective. Specialization is open, including but not limited to sociolinguistics, neuro/psycholinguistics, corpus linguistics, and/or language documentation. UF Linguistics seeks to train the next generation of linguists who are comfortable integrating and evaluating computational approaches in their research. To this end, ability to teach computationally-oriented courses is required. Candidates must hold the Ph.D. by the starting date.

The successful candidate will be expected to 1) maintain an active research agenda, 2) pursue external research funding, 3) teach two courses per semester at the undergraduate and/or graduate level, 4) provide service to the department, the university, and the profession, and 5) seek collaborations within the department as well as with other units on campus such as the UF Data Science and Information Technology Center, the UF Informatics Institute, or the McKnight Brain Institute.

The Department is committed to creating an environment that affirms diversity and inclusion across a variety of dimensions, including ability, class, ethnicity/race, religion and/or cultural background, gender identity and expression. We particularly welcome applicants who can contribute to such an environment through their scholarship, teaching, mentoring, and professional service. The university and greater Gainesville community enjoy a diversity of cultural events, restaurants, year-round outdoor recreational activities, and social opportunities

Salary is competitive, commensurate with qualifications and experience, and includes a full benefits package.

The Linguistics Department at the University of Florida is a vibrant and congenial unit consisting of 11 full-time faculty and 15 affiliated faculty in the departments of Anthropology; Languages, Literatures, and Cultures; Spanish and Portuguese; and the Dial Center for Written & Oral Communication. We offer a B.A., M.A. and Ph.D. in Linguistics, as well as an undergraduate minor and undergraduate certificate in TESL and a graduate certificate in Second Language Acquisition and Teaching. We have faculty expertise in a wide range of linguistic subfields, and particular strengths in the areas of bilingualism, language documentation, psycholinguistics, sociolinguistics, and African linguistics. Please see our website, lin.ufl.edu, for more information about the department.

For full consideration, applications must be submitted online at https://apply.interfolio.com/56557 and must include: (1) a brief cover letter, (2) a statement of teaching and research interests, (3) a CV, (4) 1-3 sample publications, (5) the names and email addresses for three references, and (6) representative teaching evaluations if available. After initial review, letters of recommendation will be requested for selected applicants. Review of applications will begin on 18 November 2018 and will continue until the position is filled.

All candidates for employment are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education.

The final candidate will be required to provide an official transcript to the department upon hire. A transcript will not be considered "official" if a designation of "Issued to Student" is visible. Degrees earned from an educational institution outside of the United States require evaluation by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/.

The University of Florida is an Equal Opportunity Employer dedicated to building a broadly diverse and inclusive faculty and staff. The University of Florida invites all qualified applicants, including minorities, women, veterans, and individuals with disabilities to apply. The University of Florida is a public institution and subject to all requirements under Florida Sunshine and Public Record laws.

== Postdoctoral Researcher, Cognitive AI Lab, University of Arizona ==

* Employer: School of Information, University of Arizona

* Title: Postdoctoral Research Associate

* Specialty: natural language processing

* Location: Tucson, AZ, USA

* Deadline: Open until filled

* Date posted: October 15, 2018

* Contact: Peter Jansen <pajansen@email.arizona.edu>

Postdoctoral Research Associate I 

https://uacareers.com/postings/31213

Position Summary 

The Cognitive Artificial Intelligence Laboratory ( http://www.cognitiveai.org ) in the School of Information at the University of Arizona invites applications for a Postdoctoral Research Associate for projects specializing in natural language processing and explanation-centered inference.

Natural language processing systems are steadily increasing performance on inference tasks like question answering, but few systems are able to provide explanations describing why their answers are correct. These explanations are critical in domains like science or medicine, where user trust is paramount and the cost of making errors is high. Our work has shown that one of the main barriers to increasing inference and explanation capability is the ability to combine information – for example, elementary science questions generally require combining between 6 and 12 different facts to answer and explain, but state-of-the-art systems generally struggle integrating more than two facts together. The successful candidate will combine novel methods in data collection, annotation, representation, and algorithmic development to exceed this limitation in combining information, and apply these methods to answering and explaining science questions.

A talk on our recent work in this area is available here: https://www.youtube.com/watch?v=EneqL2sr6cQ

Minimum Qualifications

* A Ph.D. in Computer Science, Information Science, Computational Linguistics, or a related field.

* Demonstrated interest in natural language processing or machine learning techniques.

* Excellent verbal and written communication skills

Duties and Responsibilities

* Engage in innovative natural language processing research

* Write and publish scientific articles describing methods and findings in high-quality venues (e.g. ACL, EMNLP, NAACL, etc.)

* Assist in mentoring graduate and undergraduate students, and the management of ongoing projects

* Support writing grant proposals for external funding opportunities

* Serve as a collaborative member of a team of interdisciplinary researchers

Preferred Qualifications

* Knowledge of computational approaches to semantic knowledge representation, graph-based inference, and/or rule-based systems

* Strong scholarly writing skills and publication record

Full Posting/To Apply 

https://uacareers.com/postings/31213

== Temporary lecturer, Department of Linguistics, University of California, Santa Barbara ==

* Employer: Department of Linguistics, University of California, Santa Barbara

* Title: Lecturer

* Specialty: computational linguistics and/or natural language processing and general linguistics

* Location: Santa Barbara, CA 93106

* Deadline: October 24, 2018

* Date posted: September 27, 2018

* Contact: https://recruit.ap.ucsb.edu/apply/JPF01317

The Department of Linguistics at the University of California, Santa Barbara invites applications for a qualified temporary Lecturer to teach course(s) in computational linguistics and potentially general linguistics. To learn more about the department, see: http://www.linguistics.ucsb.edu/

The Lecturer will teach an advanced undergraduate course in computational linguistics in the Winter 2019 or Spring 2019 quarter. The successful candidate may also have the opportunity to teach other courses that support the department’s undergraduate programs, including classes currently listed in the UCSB general catalog and/or special-topic courses proposed by the applicant; these courses may be offered in Winter 2019 or Spring 2019.

Applicants must possess a Master’s Degree in Linguistics and have at least one year teaching college-level linguistics courses. A Ph.D. in Linguistics is preferred but not required. The department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.

To apply, please go to the following link: https://recruit.ap.ucsb.edu/apply/JPF01317. Applicants should submit a curriculum vitae and a cover letter stating their qualifications for teaching computational linguistics as well as any additional courses they may be interested in teaching. Applicants should also provide contact information for three references. To ensure full consideration, all application materials should be received by 10/24/18; however, the position is open until filled.

The University of California is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

== Assistant Professor, Department of Linguistics, University of California, Santa Barbara ==

* Employer: Department of Linguistics, University of California, Santa Barbara

* Title: Assistant Professor

* Specialty: computational linguistics and/or natural language processing

* Location: Santa Barbara, CA 93106

* Deadline: November 9, 2018

* Date posted: September 27, 2018

* Contact: https://recruit.ap.ucsb.edu/apply/JPF01310 and complingsearch@linguistics.ucsb.edu

The Linguistics Department of the University of California, Santa Barbara seeks to hire a linguist who is a specialist in computational linguistics and/or natural language processing. The appointment will be a tenure-track position at the Assistant Professor level, effective July 1, 2019.

The successful candidate will have an active research program in computational linguistics and/or natural language processing and will have a record of participation in the computational linguistics/NLP community. Proven expertise in machine learning including word embeddings/vector space semantics is required, as is expertise in using computational linguistics methods to address theoretical and/or applied questions. Capacity to engage with the distinctive theoretical orientation of the department is expected. We welcome applicants with the ability to contribute to departmental foci, such as corpus linguistics, language and cognition, language acquisition, and/or less studied languages. We also encourage applicants who have the potential to interact with colleagues and students across disciplinary boundaries at UCSB.

The successful candidate will demonstrate commitment to and ability in graduate and undergraduate teaching and will be expected to teach a range of graduate and undergraduate courses in computational linguistics, including those with relevance to industry, as well as to contribute to the department’s undergraduate major with an emphasis in Language and Speech Technologies. For more information on the department, see www.linguistics.ucsb.edu.

The minimum requirement to be considered as an applicant is the completion of all requirements for a Ph.D. in linguistics or a closely-related field except the dissertation (or equivalent) at the time of application. A Ph.D. in linguistics or a closely-related field is expected by the time of appointment. Review of applications will begin after Friday, November 9, 2018. The position will remain open until filled.

Applicants must complete the online form at https://recruit.ap.ucsb.edu/apply/JPF01310 and must submit online the following in PDF format: letter of application, statement of research interests, teaching statement, curriculum vitae, and 2 writing samples. Applicants are also encouraged to submit an optional statement on contributions to diversity.

Applicants should request 3-5 letters of reference to be sent directly to https://recruit.ap.ucsb.edu/reference. Inquiries may be addressed to the Search Committee at complingsearch@linguistics.ucsb.edu. Initial screening of selected applicants will be conducted via Zoom. Our department has a genuine commitment to diversity, and is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.

The University of California is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

== Postdoctoral Fellow, Quantitative Criticism Lab, University of Texas at Austin ==

* Employer: Quantitative Criticism Lab, University of Texas at Austin

* Title: Postdoctoral Fellow

* Specialty: Digital humanities and natural language processing

* Location: Austin, TX or remote

* Deadline: October 15, 2018

* Date posted: September 7, 2018

* Contact: https://www.nature.com/naturejobs/science/jobs/652327-postdoctoral-fellow

The Quantitative Criticism Lab (QCL; https://www.qcrit.org), a research group developing cross-disciplinary approaches to the study of literature and culture, invites applications for a full-time postdoctoral fellowship. The duration of the fellowship is 18 months, from January 2, 2019 to June 30, 2020. The field of specialization is open, but expertise in computer programming and statistical analysis is essential, as is a deep interest in the study of literature. QCL’s physical lab space is based at The University of Texas at Austin; residence in Austin during the fellowship period is preferred but not required. The fellow will have no teaching responsibilities. The position is funded by a Digital Extension Grant from the American Council of Learned Societies (ACLS).

The ACLS-funded project will produce a web-based suite of tools for traditionally-trained humanists to analyze literary texts in a quantitative manner. The tools are designed with an important class of literary problems in mind, exemplified by the identification of verbal parallels and, at a larger scale, by the individuating of entire works within generic traditions. We take two main approaches: sequence alignment for the detection of verbal resemblance, and stylometry augmented by machine learning for the profiling of texts and corpora. The tools are expected both to enhance traditional modes of literary criticism and to enable novel quantitative analyses of the cultural evolution of literature.

The postdoctoral fellow’s primary responsibilities will be to lead development of these tools and to participate in other aspects of QCL’s research program according to background and interests. The work will involve coding, research design, data analysis, literary criticism, and scholarly writing for diverse venues, as well as various organizational duties related to workshops and conferences. The postdoctoral fellow will work under the supervision of Pramit Chaudhuri (UT Austin) and Joseph Dexter (Dartmouth College), the co-directors of QCL, and will collaborate with a diverse array of scholars, in both academia and industry, affiliated with QCL. In addition, the fellow will be expected to play a major role in mentoring the numerous graduate, undergraduate, and high school students who conduct research with QCL.

A Ph.D. in a computational, statistical, linguistic, or literary field is required. Possible disciplines include (but are not limited to) anthropology, applied mathematics, bioinformatics, classics, comparative literature, computer science, English, evolutionary biology, linguistics, and statistics. Prior experience with any of the following areas is highly desirable but not required: computational linguistics, cultural evolution, digital humanities, literary criticism of a premodern or non-Anglophone tradition (especially Latin or Ancient Greek), machine learning, and natural language processing. By the start date of the position, applicants should either have the Ph.D. in hand or be able to provide certification from their home institution that all degree requirements have been fulfilled. Applicants must have received the Ph.D. within the last three years.

For full consideration, applicants should submit the following materials by October 15, 2018:

# CV;

# Cover letter;

# Short (2-4 page) summary of past and current research interests, giving particular attention to any computational work;

# Writing sample of no more than 40 pages (e.g., article or dissertation chapter).

In addition, applicants should arrange to have three letters of recommendation forwarded by the deadline. Please submit your CV and cover letter on the UT Jobs website: https://utdirect.utexas.edu/apps/hr/jobs/nlogon/180823010712. Please submit the additional materials via email to vnoya@austin.utexas.edu. Questions can be directed to Vanessa Noya at the same address.

The salary will be $48,000 per year, plus benefits.

The successful candidate must be able to begin work in this position by January 2, 2019.

A criminal history background check will be required for finalist(s) under consideration for this position.

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

If hired, you will be required to complete the federal Employment Eligibility Verification form, I-9. You will be required to present acceptable, original documents (https://hr.utexas.edu/current/services/employment-eligibility-verification-i9-docs) to prove your identity and authorization to work in the United States. Information from the documents will be submitted to the federal E-Verify system for verification. Documents must be presented no later than the third day of employment. Failure to do so will result in dismissal.

UT Austin is a Tobacco-free Campus (http://tobaccofree.utexas.edu/).

== Associate Research Scientist, UKP Lab, TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany

* Title: Associate Research Scientist

* Specialty: Natural language processing

* Location: Darmstadt

* Deadline: September 30, 2018 (or until filled)

* Date posted: September 6, 2018

* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The [https://www.ukp.tu-darmstadt.de/ Ubiquitous Knowledge Processing (UKP) Lab] at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

'''Associate Research Scientist''' 

'''(PostDoc- or PhD-level; for an initial term of two years)'''

This position should further strengthen and develop the profile of the lab in natural language processing (NLP) and related topics such as machine learning, multimodal content analysis, information retrieval, or novel applications of NLP to social sciences and humanities.

Possible areas of research include, but are not limited to:

* interactive clustering and machine learning to extract sets of textual snippets according to multiple criteria, e.g. high-quality and diverse examples illustrating a lexical entry’s usage;

* NLP for low-resource languages, e.g. analyzing discourse-level argumentation in Georgian;

* interactive sequence labeling to support claim validation by experts, e.g. for extracting evidence from corpora;

* joint text and image processing for content classification in social media, e.g. identifying bias;

* analyzing and generating creative language, such as humor, metaphor, or other rhetorical means.

The lab has a strong profile in the above areas, which features robust semantic analysis and textual inference, multimodal content analysis and summarization, and applications of NLP including novel benchmarks and problem definitions. It currently develops a new focus on interactive machine learning and chatbots and conversational agents. The lab closely cooperates with machine learning, computer vision, and data management groups of the Computer Science department. It has a strong industrial network and works together with social sciences and humanities on real-life research problems.

We are looking to attract highly qualified candidates with an outstanding degree in NLP, machine learning, or a related field of Computer Science. The candidates should preferably have research and teaching experience and strong communication skills in English and German (optional). Together with the candidate, we work out an individual career development plan and identify the relevant opportunities for the professional and personal growth within the activities of the lab.

The research environment is excellent. The Department of Computer Science of the TU Darmstadt is regularly one of the top ranked ones among the German universities. Its unique Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG and the BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasize NLP, machine learning and text mining. UKP Lab is a very dynamic research group committed to high-profile research, cooperative work style and close interaction of team members.

Applications should include a detailed CV, a motivation letter, an outline of previous working or research experience and the names of ideally three referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by September 30th, 2018: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The position is open until filled.

== Tenure-track and tenure-eligible investigators at the National Library of Medicine, Bethesda, Maryland ==

*Employer: National Library of Medicine

*Title: Tenure-track and tenure-eligible investigators

*Specialty: Natural Language Processing

*Location: Bethesda, MD, USA

*Deadline: Applications will be accepted until the position is filled.

*Date posted: August 15, 2018

*Contact: Dr. Andy Baxevanis, the Search Chair, <andy@mail.nih.gov>

The National Library of Medicine is currently recruiting for both tenure-track and tenure-eligible investigators in data science, biomedical informatics, and computational biology.

Individuals with significant experience in the use of statistical, machine learning, optimization and advanced mathematical methodologies as applied to biomedical and health science are encouraged to apply.

Additional details are available by following the links below.

https://www.nlm.nih.gov/careers/jobopenings.html

https://www.nlm.nih.gov/careers/jobopening_ncbi_01_20180813.html

https://www.nlm.nih.gov/careers/jobopening_ncbi_02_20180813.html

== Question-Answering Research Internship at Adobe Research, San Jose, California ==

*Employer: Adobe Research

*Title: Research Scientist Intern

*Speciality: Question-answering

*Location: San Jose, CA, USA

*Deadline: Applications will be accepted until the position is filled.

*Date posted: July 3, 2018

*Contact: Franck Dernoncourt <dernonco@adobe.com>

We are looking for a PhD student with background in question-answering for a late summer or autumn, ~13-week internship (starting date and length are flexible). We strongly encourage our interns to publish their work to NLP/ML conferences/journals, and as a result we prefer candidates with a strong publication record. International PhD students are welcome to apply. Highly competitive salary. To apply, please send me an email with your CV (e.g., PDF or LinkedIn) as well as the list of your publications (e.g., PDF or link to your Google Scholar profile).

== Postdoctoral position in natural language understanding, KU Leuven, Belgium ==

* Employer: KU Leuven, Belgium

* Title: Postdoctoral researcher

* Specialty: Natural language understanding, machine learning

* Location: Leuven, Belgium

* Deadline: July 31, 2018

* Date posted: June 18, 2018

* Contact: sien.moens@cs.kuleuven.be

We offer a two-year postdoctoral position (extendable to four years) funded by the ERC (European Research Council) Advanced Grant CALCULUS “Commonsense and Anticipation enriched Learning of Continuous representations sUpporting Language UnderStanding” (http://calculus-project.eu). The principal investigator is Prof. Sien Moens. CALCULUS focuses on learning effective anticipatory representations of events and their narrative structures that are trained on language and visual data. The machine learning methods on which CALCULUS will build belong to the family of latent variable models where it will rely on Bayesian probabilistic models and neural networks as starting points. CALCULUS focuses on settings with limited training data that are manually annotated and especially aims at developing novel machine learning paradigms for natural language understanding. CALCULUS also evaluates the inference potential of the anticipatory representations in situations not seen in the training data and for inferring spatial, temporal and causal information in metric real world spaces. The best models for language understanding will be integrated in a demonstrator that translates language to events happening in a 3-D virtual world.

The successful candidate will have an opportunity to work on innovative natural language understanding research such as grounding language meaning into visual perception and translating narrative language into visual events. He or she will be given the opportunity for personal development beyond research, for example by contributing to teaching (e.g., at the undergraduate and graduate levels). For an outstanding candidate there is the potential to grow into an assistant professorship.

'''Responsibilities'''

* Perform own research in language understanding and novel machine learning paradigms in the frame of the CALCULUS project.

* Carry out some teaching duties, which may include lectures/exercise sessions, the organisation of student seminars, and the supervision of bachelor and master theses.

* Help in the supervision of PhD researchers of the CALCULUS team.

'''Prerequisites'''

* You have (or are near completion of) a PhD in Computer Science (or a related field).

* You have a motivated interest in fundamental research in language understanding and machine learning.

* You are not afraid of creative and original ideas and solutions.

* You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in relevant journals with high impact factor.

* You are good at collaborating with and leading others.

* You work proactively and independently and have good communication skills.

* You have a very good knowledge of English, both spoken and written.

* You are highly motivated, ambitious and result-oriented.

'''Offer'''

* We offer a 2 x 2-year postdoctoral position, starting in September 2018 (negotiable).

* We offer a competitive wage and yearly budget to attend conferences and for short research stays.

'''Interested'''

If interested, send your CV including publication list, motivation letter and two recommendation letters by e-mail to Prof. dr. Sien Moens (sien.moens@cs.kuleuven.be) as soon as possible and the latest by July 31, 2018. For more information please contact Prof. dr. Sien Moens: tel.: +32 16 32 53 83. Excellent candidates will be invited for an interview (possibly via Skype).

'''The research team'''

The Language Intelligence & Information Retrieval (LIIR) lab (https://liir.cs.kuleuven.be) of KU Leuven, Belgium is part of the Human Computer Interaction (HCI) unit in the Department of Computer Science. The members of the lab are especially interested in natural language processing and understanding, multimedia mining, machine learning and information retrieval. They study well-informed theoretical models as well as challenging applications, often empowered by big data sets. They investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. LIIR has a special interest in statistical multimodal representation learning where we explore the complementarity of language and visual data. The developed technologies are, among others, applied in the domains of bioinformatics, business intelligence, e-commerce analytics, electronic message filtering, news search and mining, user generated content mining, and World Wide Web mining and search, and contribute to the field of data science in these areas. Through its collaborations LIIR connects to other disciplines including speech processing, computer vision, data mining, artificial intelligence, cognitive science, and human-computer interaction.

'''The university'''

KU Leuven is situated in a historic university town close to Brussels, the capital of Europe. It features an excellent Computer Science department providing a stimulating research environment. All programmes at this university are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!

== Postdoctoral position in multilingual text mining, KU Leuven, Belgium ==

* Employer: KU Leuven, Belgium

* Title: Postdoctoral researcher

* Specialty: Text mining, machine learning

* Location: Leuven, Belgium

* Deadline: July 31, 2018

* Date posted: June 18, 2018

* Contact: sien.moens@cs.kuleuven.be

We offer a two-year postdoctoral position funded by the EU ITEA3 project PAPUD "Profiling and Analysis Platform Using Deep Learning” (https://itea3.org/project/papud.html). The principal investigator is Prof. Sien Moens. The scope of the project is to build a universal model for data analytics using deep learning in order to help today’s businesses to make sense out of data. The postdoctoral position focuses on multilingual text mining and more specifically on interlingual content representations and methods of transfer learning with applications in multilingual topic modelling, content classification (e.g., opinion and argumentation mining) and question answering. The candidate will perform cutting-edge artificial intelligence research in the context of a European consortium composed of renowned academic and industrial partners.

'''Responsibilities'''

* Design and develop machine learning methods for multilingual text mining.

* Carry out some teaching duties, which may include lectures/exercise sessions, the organization of student seminars, and the supervision of bachelor or master theses.

'''Prerequisites'''

* You have (or are near completion of) a PhD in Computer Science (or a related field).

* You have a motivated interest in and knowledge of text mining and machine learning, including probabilistic graphical models and deep learning.

* You have a solid track record of publications in relevant international peer-reviewed A ranked conferences and journals.

* You have a profound interest in collaborating with the industry on applications of text mining and willing to contribute to a deep learning text analytics platform.

* You have a very good knowledge of English, both spoken and written.

* You are highly motivated, ambitious and result-oriented.

'''Offer'''

* We offer a two-year postdoctoral position, starting in September 2018 (negotiable).

* We offer a competitive wage and yearly budget to attend conferences.

'''Interested'''

If interested, send your CV including publication list, motivation letter and two recommendation letters by e-mail to Prof. dr. Sien Moens (sien.moens@cs.kuleuven.be) as soon as possible and the latest by July 31, 2018. For more information please contact Prof. dr. Sien Moens: tel.: +32 16 32 53 83. Excellent candidates will be invited for an interview (possibly via Skype).

'''The research team'''

The Language Intelligence & Information Retrieval (LIIR) lab (https://liir.cs.kuleuven.be) of KU Leuven, Belgium is part of the Human Computer Interaction (HCI) unit in the Department of Computer Science. The members of the lab are especially interested in natural language processing and understanding, multimedia mining, machine learning and information retrieval. They study well-informed theoretical models as well as challenging applications, often empowered by big data sets. They investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. LIIR has a special interest in statistical multimodal representation learning where we explore the complementarity of language and visual data. The developed technologies are, among others, applied in the domains of bioinformatics, business intelligence, e-commerce analytics, electronic message filtering, news search and mining, user generated content mining, and World Wide Web mining and search, and contribute to the field of data science in these areas. Through its collaborations LIIR connects to other disciplines including speech processing, computer vision, data mining, artificial intelligence, cognitive science, and human-computer interaction.

'''The university'''

KU Leuven is situated in a historic university town close to Brussels, the capital of Europe. It features an excellent Computer Science department providing a stimulating research environment. All programmes at this university are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!

== PhD positions in DFG Graduate School AIPHES, TU Darmstadt ==

* Employer: [https://www.aiphes.tu-darmstadt.de/ DFG Graduate School AIPHES], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany

* Title: Doctoral researcher

* Specialty: deep learning, summarization

* Location: Darmstadt

* Deadline: June 27, 2018

* Date posted: June 18, 2018

* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The [http://www.aiphes.tu-darmstadt.de/ Research Training Group “Adaptive Information Preparation from Heterogeneous Sources” (AIPHES)], which has been established in

2015 at Technische Universität Darmstadt and at Ruprecht Karls

University Heidelberg is filling two positions for three years,

starting as soon as possible, located in Darmstadt and associated with

UKP Lab (Prof. Iryna Gurevych). Positions remain open until filled.

The positions provide the opportunity to obtain a doctoral degree with

an emphasis in

natural language processing tasks such as structured summaries of

complex contents, abstractive summarization, or a related area.

Applicants should be willing to work on cross-lingual, cross-modality

and domain-independent methods. Prior experience in transfer learning,

multi-task learning, adversarial learning, deep reinforcement learning

or related methods is a plus.

The goal of AIPHES is to conduct innovative research in knowledge

acquisition on the Web in a cross-disciplinary context. To that end,

methods in computational linguistics, natural language processing,

machine learning, computer vision, and data and information management

will be developed. AIPHES investigates a novel,

complex scenario for information preparation from heterogeneous

sources. It interacts closely with end users who prepare textual

documents in an online editorial office, and who should therefore

benefit from the results of AIPHES. In-depth knowledge in one of the

above areas is desirable but not a prerequisite.

AIPHES emphasizes close contact between the students and their

advisors with regular joint meetings, a co-supervision by professors

and younger scientists in the research groups, and an intensive

exchange as part of the research and qualification program.

Participating research groups at Technische Universität Darmstadt are

Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge

Processing (Prof. Gurevych, Dr. Claudia Schulz), Machine Learning

(Prof. Kersting), Visual

Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at

Ruprecht Karls University Heidelberg are the Institute for

Computational Linguistics (Prof. Frank) and the Natural Language

Processing Group (Prof. Strube) of the Heidelberg Institute for

Theoretical Studies (HITS). AIPHES strives to publish its results at

leading

scientific conferences and is actively supporting its doctoral

researchers in this endeavor. The software that will be developed in

the course of AIPHES should be put under the open source Apache

Software License 2.0 if possible. Moreover, the research papers and

datasets should be published with open access models.

'''Prerequisites'''

We are looking for exceptionally qualified candidates with a degree in

Computer Science, Machine Learning, NLP, or a related study

program. We expect the ability to work independently, personal

commitment,

team and communication abilities, as well as the willingness to

cooperate in a multi-disciplinary team. Prior experience in

scientific work is a plus. We specifically invite

applications of women. Among those equally qualified, handicapped

applicants will receive preferential consideration. International

applications are particularly encouraged.

The research environment is excellent. The [https://www.informatik.tu-darmstadt.de/ Department of Computer Science of TU Darmstadt] is regularly

ranked among the top ones in respective rankings of German

universities. [https://www.ukp.tu-darmstadt.de UKP Lab] is a highly dynamic research group committed to

top-level conferences, technologies of the highest standards,

cooperative work style and close interaction of team members. Its

BMBF-funded Centre for the Digital Foundation of Research in the

Humanities, Social, and Educational Sciences (CEDIFOR) emphasizes NLP,

machine learning and text mining. The large-scale [http://www.argumentext.de/ argument mining project] allows searching large document collections in response to a

user-defined topic: neural networks determine relevant pro and con

arguments in real-time, and represent them in a concise summary.

Applications should include a motivational letter that refers to one of

the planned research areas of [http://www.aiphes.tu-darmstadt.de/ AIPHES], a CV with

information about the applicant’s scientific work, certifications of

study and work experience, as well as a thesis or other publications

in electronic form. Application materials must be submitted via the

following form by June, 27th, 2018:

https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/

In addition, applicants should be prepared to solve a programming and

a reviewing task in the first two weeks after their application.

== Postdoc position: Bocconi University, Milan ==

*Employer: Bocconi University

*Title: Postdoctoral Researcher

*Location: Milan, Italy

*Deadline: June 22nd, 2018, 5 p.m.  

*Starting date: as early as possible, but no later than September 2018

*Duration: 1 year  

*Date Posted: June 18, 2018

*Contact: Paola Cillo (paola.cillo@unibocconi.it)

*URL: https://bit.ly/2JW2tKZ (select the Gucci Lab call)

Gucci Research Lab (GRL) is a unique partnership between Bocconi University and Gucci to identify and study the trends that define the way in which organizations are evolving. This position is part of a larger project by the Gucci Lab at Bocconi on the effects of a change in a firm’s leadership positions on the firm’s culture and its performance. Part of the project involves the textual analysis of internal documents (e.g., emails), before and after the leadership change. To provide an example, textual analysis of these documents will be conducted to identify power relationships within the organization and study how they evolved over time.

REQUIREMENTS/QUALIFICATIONS  

The successful candidate will work actively on novel directions in deep learning, multi-task learning, and neural networks.  The candidate is expected to have:

* a Ph.D. or equivalent in Computer Science, Computational Linguistics/NLP, Mathematics or related fields.

* Good programming skills in Python.

* Fluent English. Knowledge of other languages is more than welcome.  Knowledge of Italian is NOT a requirement.

* Knowledge of current neural network models, especially Word2Vec and Doc2Vec, and tools for neural networks (e.g. Tensorflow, Keras, PyTorch, etc.).

* Publications in top-tier venues in the field of Computational Linguistics.

* Experience in Ph.D. student supervision is a plus.

* Salary: 43,310.50 euros per annum

HOW TO APPLY  

The application must be sent to Faculty and Research Division of Bocconi University (addressing the Rector) just via email at recruiting_ricerca@unibocconi.it

You can find more information about the project and call here: https://bit.ly/2t1DnAO

== Postdocs: Johns Hopkins University ==

*Employer: Johns Hopkins University

*Title: Postdoctoral Researcher

*Location: Baltimore, MD

*Deadline: Applications will be accepted until positions are filled

*Date Posted: June 6, 2018

*Contact: clspsearch@clsp.jhu.edu

*URL: https://www.clsp.jhu.edu/employment-opportunities/

The Center for Language and Speech Processing (CLSP) at the Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech, natural language processing and machine learning. Applicants must have a Ph.D. in a relevant discipline and a strong research record.

The center has a number of postdoctoral positions available. A single application will be considered for all open positions (except for one position as noted below). You need not indicate a specific position, but you may include a strong preference in an optional cover letter.

Example topics include:

* Cross-lingual Information Retrieval

* Trend Detection in Social Media

* Social Media and Mental Health

* Analysis of Clinical Medical Text

* Broadly Multilingual Learning of Morphology and Low-Resource Machine Translation

* NLP and Machine Learning for Clinical Data Analysis

Johns Hopkins University is a private university located in Baltimore, Maryland. The campus provides easy access to a number of affordable and vibrant neighborhoods and waterfront dining options. Hopkins is also connected to Washington DC (40 mins), Philadelphia (1.5 hours) and New York city (2.5 hours) via direct trains and buses.

CLSP is one of the world’s largest academic centers focused on speech and language. CLSP is home to a dozen faculty members, half a dozen postdocs, and over 60 graduate students. It has a history of placing students in top academic and industry positions, with a large network of alumni at Google, Amazon, Microsoft Research, Bloomberg, IBM Research, Facebook, Twitter, Nuance, BBN, and numerous startups.

Applicants are not required to be to US citizens or permanent residents.

Questions about specific projects should be directed to the contact information associated with the project. General inquiries may be sent to clspsearch@clsp.jhu.edu.

Details and application information:

http://www.clsp.jhu.edu/employment-opportunities/

== Research Fellow in Software Engineering with a Focus on Natural Language Processing at University of Tartu, Estonia ==

* Employer: University of Tartu, Institute of Computer Science, [https://sep.cs.ut.ee/ Software Engineering group]

* Title: Research Fellow

* Speciality: Software engineering, machine learning, natural language processing

* Location: Tartu, Estonia

* Deadline: June 4, 2018

* Date posted: May 21, 2018

* Contact: Dietmar Pfahl, Kairit Sirts (<firstname>.<lastname>@ut.ee)

'''Postdoctoral position''' 

Applications are invited for a position of Research Fellow at the Software Engineering and Information Systems Research Group, Institute of Computer Science, University of Tartu. The institute is the leading Computer Science department in the Baltics and is one of the top-2 in Central and Eastern European universities according to the field-specific Times Higher Education Ranking 2017. The Software Engineering and Information Systems group conducts research in the fields of data-driven software engineering decision support, business process management, and secure information systems design. The group is composed of 25 members, including 12 PhD students. The group places a strong emphasis on research excellence and quality of its research publications. The institute has strong ties with the local industry and manages a portfolio of half a dozen research projects in cooperation with industry partners.

The successful candidate will conduct research in the field of data-driven software engineering decision support, within a team that brings together researchers specialized in software analytics, software evolution, software quality assurance, agile development methods, data mining and natural language processing. The research fellow will be expected to contribute to ongoing research projects which aim at exploiting advanced data science methods in one or more of the following application domains:

* open innovation,

* energy-efficient software development,

* software testing.

The research to be conducted is interdisciplinary. In particular, we will be closely collaborating with the natural-language processing group to leverage their expertise on analyzing unstructured data.

'''Requirements''' 

Candidates must have a PhD in Computer Science or a related discipline. Expertise in at least one of the following topics is essential: software testing, static code analysis, software evolution/maintenance, machine learning. Experience in developing research prototypes and working in collaborative research projects is desirable. The position is not term-limited. Funding is already secured for the first two years of the appointment. The continuation of the position after the first two years will depend on further funding. Remuneration will be up to 2400 euros/month. Estonia applies a flat income tax of 20% on salaries and provides public health insurance for employees.

The expected start date is 1 September 2018, but a later start date can be negotiated.

The deadline for applications is 4 June 2018. The application procedure is outlined in the official advertisement at the [https://www.ut.ee/en/welcome/job-offer/research-fellow-software-engineering-0 University's website].

== Postdoctoral research positions in cybersecurity, natural language processing, and experimental social psychology at SUNY Albany ==

* Employer: University at Albany, Research Foundation of the State University of New York, [http://www.ils.albany.edu/ ILS Institute]

* Title: Postdoctoral researcher

* Speciality: Cybersecurity, natural language processing, machine learning, experimental design

* Location: Albany, New York, USA

* Deadline: July 31, 2018

* Date posted: May 18, 2018

* Contact: Tomek Strzalkowski (tomek {at} albany.edu)

'''Postdoctoral positions''' 

* ''The Personalized AutoNomous Agents Countering Social Engineering Attacks (PANACEA) Project.'' The PANACEA Project is a joint effort of communication and computer science faculty at the University at Albany, SUNY, as well as researchers at other institutions. The project aims to design, develop, and evaluate an automated system that will protect online users against current and future forms of social engineering attacks. The system will serve as an intermediary between attackers (human, automated, hybrid, coordinated) and the potential victims they target by addressing and eliminating human vulnerabilities in current cyber defense capabilities. The objectives of the project include detection and classification of social engineering attacks as well as active defenses, including engaging and identifying of the attackers.

* ''The Computational Ethnography from Metaphors and Polarized Language (COMETH) Project.'' The COMETH project is a joint effort of computer science and psychology faculty at the University at Albany. The project aims to develop and validate novel computational methodology for automatically acquiring cultural models that represent the worldviews of communities and subcultures operating within the larger society. These models will be obtained using advanced natural language processing and machine learning techniques on data from online media outlets produced by different communities. The objectives of this research include (a) capturing prevalent community attitudes (sentiment and beliefs) toward key concepts such as government, rights, economic inequality, etc.; (b) showing how these attitudes evolve over time, including in response to external influences (e.g., national or international events); and (c) explaining how this system of attitudes acts like an interpretive and defensive tool by allowing the community to reject or distort incoming information.

'''Requirements for the PANACEA position''' 

For the PANACEA project, we seek a postdoctoral researcher to join our interdisciplinary team. The candidate must have a Ph.D. in Computer Science from an accredited college or university that was granted within the last 3 years, and evidence of advanced scholarly research in a relevant field. This position starts September 1, 2018.

* The candidates are expected to have the following skills: in-depth knowledge of current issues and methods in cybersecurity, natural language processing, socio-behavioral computing, human-computer dialogue, statistical methods of data analysis, and machine learning. Familiarity with empirical method of data collection and model validation is preferred. Programming expertise is essential including substantial experience with Java, Python, and C++ programming environment, as well as with Windows, Linux and Unix platforms. Linguistic background and familiarity with methods of conversational analysis is a plus.

'''Requirements for the COMETH positions''' 

For the COMETH project, we seek '''two''' postdoctoral researchers: one in computer science and one in psychology. The candidates must have a Ph.D. in Computer Science or Psychology from an accredited college or university that was granted within the last 3 years, and evidence of advanced scholarly research in a relevant field. These positions start December 1, 2018.

* The computer science candidates are expected to have the following skills: in-depth knowledge of current issues and methods in natural language processing, data science, domain modeling, socio-behavioral computing, statistical methods, and machine learning. Familiarity with empirical method of data collection and model validation is preferred. Programming expertise is essential including substantial experience with Java, Python, and C++ programming environment, as well as with Windows, Linux and Unix platforms. Linguistic background and familiarity with sentiment analysis and metaphor extraction is a plus.

* The psychology candidates are expected to have following skills: substantial experience with experimental design and advanced statistical methods in experimental social psychology, and knowledge of political psychology. Experience with open science and pre-registration of research protocols will be beneficial.

'''Overall Requirements''' 

* For all postdoctoral researchers: duties include advanced research and development under the direction of the project faculty, report preparation and coordination of work of graduate student assistants. Ability to execute substantial tasks within large projects in timely fashion is essential. Candidates must also address in their applications, their ability to work with a culturally diverse population.

The postdoctoral researcher appointment review will begin immediately and will close once filled. The successful candidates will be located in the Institute for Informatics, Logics, and Security Studies at the University at Albany, SUNY. The appointment is for 40 hours a week, initially for 12 to 18 months, and potentially extendible for up to 48 months, depending on the project. Expected start dates are September 1, 2018 and December 1, 2018, pending funding approval from the Federal Government sponsor. The salary is commensurate with experience.

'''How to Apply''' 

Interested individuals should direct inquiries and submit a cover letter, resume, and three letters of reference to: Prof. Tomek Strzalkowski, Director ILS Institute, University at Albany, tomek {at} albany.edu

== Two PhD positions in deep learning for natural language understanding and summarisation at Idiap, Switzerland ==

* Employer: Idiap Research Institute, [http://www.idiap.ch/en/scientific-research/natural-language-understanding Natural Language Understanding group]

* Title: Two PhD positions

* Speciality: Natural Language Understanding, Summarisation, Machine Learning

* Location: Martigny, Switzerland

* Deadline: May 31, 2018

* Date posted: April 30, 2018

* Contact: James Henderson (james.henderson@idiap.ch)

'''Two PhD positions'''

The [http://www.idiap.ch/en Idiap Research Institute] seeks qualified candidates for two PhD student position in the field of natural language understanding, developing deep learning methods for textual entailment and opinion summarisation.

The research will be conducted in the framework of the Swiss NSF funded project Learning Representations of Abstraction for Opinion Summarisation. One of the successful candidates will investigate modelling abstraction relationships between texts (textual entailment), and the other will investigate summarising large collections of opinions (opinion summarisation). Opinion summarisation must abstract away from the details of individual opinions to find consensus statements which are entailed by a significant proportion of opinions.

This project will model these natural language understanding tasks through fundamental advances in representation learning and deep learning architectures. The work will start from Dr. Henderson's work on modelling abstraction in deep learning architectures, where learned vectors represent entailment rather than the usual similarity. Successes in the unsupervised learning of word vectors for entailment will be extended to deep learning architectures for the compositional semantics of texts. Methods for finding the intersection of information in vectors will be extended to clustering texts by their shared content and generating abstract summaries.

The ideal PhD candidate should hold a Master degree in computer science, computational linguistics or related fields. She or he should have a background in machine learning, optimisation, or natural language processing. The applicant should also have strong programming skills.

The successful PhD candidates will join the [http://www.idiap.ch/en/scientific-research/natural-language-understanding Natural Language Understanding group] at Idiap, under the supervision of Dr. James Henderson. They will also become doctoral students at [http://www.epfl.ch EPFL] conditional on parallel application to, and acceptance by, the [http://phd.epfl.ch/applicants EPFL Doctoral School]. Appointment for the PhD position is for a maximum of 4 years, provided successful progress, and should lead to a dissertation. Annual gross salary ranges from 47,000 Swiss Francs (first year) to 50,000 Swiss Francs (last year). Starting date is to be negotiated, within 2018. All queries related to the advertised position can be sent to Dr. James Henderson (james.henderson@idiap.ch).

Please apply online here:

[http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710241%27%7D http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710241%27%7D]

'''Idiap'''

Idiap is an independent, not-for-profit, research institute funded by the Swiss Federal Government, the State of Valais, and the City of Martigny. It is located in a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and offering exceptional quality of life, exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. It is within close proximity to Lausanne and Geneva. Idiap is an equal opportunity employer and is actively involved in the "Advancement of Women in Science" European initiative.

== 2 postdoctoral research positions in text mining and natural language understanding at KU Leuven, Belgium ==

* Employer: KU Leuven, Department of Computer Science, [https://liir.cs.kuleuven.be/ Language Intelligence and Information Retrieval lab]

* Title: Postdoctoral researcher

* Speciality: Text mining, natural language understanding, machine learning

* Location: Leuven, Belgium

* Deadline: May 21, 2018

* Date posted: April 23, 2018

* Contact: Sien Moens (sien.moens {at} cs.kuleuven.be)

'''Postdoctoral positions''' 

* Postdoctoral position on the topic of multilingual text mining. The goal is to build interlingual representations that allow multilingual topic modelling, content classification (e.g., opinion and argumentation mining) and question answering. This postdoctoral position will be funded by the EU ITEA3 grant PAPUD and offers a contract for two years. The position will start as soon as possible.

* Postdoctoral position on the topic of multimodal representation learning. The goal is to learn continuous representations that represent language grounded in visual perception (static images and video), assist in the design of novel machine learning architectures, and investigate suitable data structures for real-time search of the representations. This postdoctoral position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS and offers a contract for two years (with the possibility of renewal for another two years). The position will start September 1, 2018.

'''Requirements''' 

*PhD in computer science or equivalent.

* Motivated interest in and preferably knowledge of (as demonstrated by publications in highly recognized venues such as ACL, EMNLP, ICML, NIPS, etc.) of natural language processing and machine learning, including deep learning and learning of latent variable models. For the second postdoctoral position, interest or experience in semantic hashing is a plus.

The successful candidates will have an opportunity to work on cutting-edge natural language processing, multimedia processing and machine learning research. He/she will be given the opportunity for personal development beyond research, for example by contributing to departmental teaching at the undergraduate and graduate levels.

KU Leuven is an institution for research and education with international appeal. All programmes at this University are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!

== 2 PhD positions in natural language understanding at KU Leuven, Belgium ==

* Employer: KU Leuven, Department of Computer Science, [https://liir.cs.kuleuven.be/ Language Intelligence and Information Retrieval lab]

* Title: PhD researcher

* Speciality: Natural language understanding, machine learning

* Location: Leuven, Belgium

* Deadline: May 21, 2018

* Date posted: April 23, 2018

* Contact: Sien Moens (sien.moens {at} cs.kuleuven.be)

'''PhD positions''' 

* PhD position on the topic of multimodal representation learning trained on language and visual data. The goal is to learn continuous representations of language grounded in visual data (static images and video) including the design, implementation and evaluation of novel machine learning architectures that capture textual as well as visual grammars. The learned representations will serve as commonsense knowledge in language understanding tasks. This PhD position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS. The position starts September 1, 2018.

* PhD position on the topic of semantic parsing of natural language sentences and discourse. The goal is to learn compositional models that take into account continuous representations of objects, their attributes and likely relationships. An additional focus is on using the compositional models to efficiently parse language in real-time. This PhD position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS. The position starts September 1, 2018.

'''Requirements''' 

*Master degree in computer science or equivalent.

*Motivated interest in and preferably knowledge of (as demonstrated in master thesis or master course work) of natural language processing, machine learning, including deep learning and learning of latent variable models, semi-supervised machine learning, and constrained optimization.

The successful candidates will have an opportunity to work on cutting-edge natural language processing, multimedia processing and machine learning research. He/she will be given the opportunity for personal development beyond research, for example by contributing to departmental teaching at the undergraduate and graduate levels.

KU Leuven is an institution for research and education with international appeal. All programmes at this University are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!

== Associate Research Scientist (NLP, machine learning and text mining), TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany

* Title: Associate Research Scientist

* Specialty: NLP, machine learning, text mining

* Location: Darmstadt

* Deadline: March 28, 2018

* Date posted: March 19, 2018

* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

'''Associate Research Scientist'''

(PostDoc- or PhD-level; for a term of three years with an extension option)

This position is intended to strengthen the profile of [https://www.ukp.tu-darmstadt.de/ the lab] in a research area within natural language processing (NLP), machine learning and text mining, such as word-/sentence-/discourse-level semantics, robust textual inference, and the applications of the above in higher-level NLP, such as QA, text summarization, argument mining, etc. The lab closely cooperates with the groups in machine learning, computer vision, and interactive data analytics of the Computer Science department and many other research labs and companies. Besides, the lab conducts research projects in close cooperation with the users in the humanities and social sciences.

We ask for applications from highly qualified candidates with a specialization/PhD in NLP/Text Mining, preferably with relevant research and teaching experience and strong communication skills in English and German (optional). Individual career development plans can be worked out. E.g. the successful candidate will contribute to research activities described above and – based on the previous experience and qualifications – will be given an opportunity to grow, i.e. to teach courses, co-supervise PhD students, and manage research projects. Outstanding candidates (at M.Sc.-level, without a PhD) are invited to apply and can be considered for a PhD-level position with an adjusted scope of responsibilities. The position being filled is based on the university funds.

The research environment is excellent. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones among the German universities. Its unique Research Training Group [https://www.aiphes.tu-darmstadt.de/de/aiphes/ “Adaptive Information Processing of Heterogeneous Content” (AIPHES)] funded by the DFG and the BMBF-funded [https://www.cedifor.de/en/cedifor/ Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR)] emphasize NLP, machine learning and text mining. UKP Lab is a highly dynamic research group committed to top-level conferences, technologies of the highest standards, cooperative work style and close interaction of team members.

Applications should include a detailed CV, a motivation letter, an outline of previous working or research experience and the names of three referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via [https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment the application form] by '''March 28, 2018'''. The position is open until filled.

== PhD positions in DFG Graduate School AIPHES, TU Darmstadt: Natural Language Processing and Machine Learning ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt]

* Title: Doctoral researcher

* Speciality: Natural Language Processing and Machine Learning

* Location: Darmstadt

* Deadline: April 3, 2018

* Date posted: March 19, 2018

* Contact: [https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/ AIPHES recruitment form]

The Research Training Group [http://www.aiphes.tu-darmstadt.de/ "Adaptive Information Preparation from Heterogeneous Sources" (AIPHES)], which has been established in 2015 at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling two positions for three years, starting as soon as possible, located in Darmstadt and associated with UKP Lab (Prof. Iryna Gurevych). Positions remain open until filled.

The positions provide the opportunity to obtain a doctoral degree with an emphasis in natural language processing tasks such as structured summaries of complex contents, in content selection and classification enhanced by reasoning, or a related area.

The goal of AIPHES is to conduct innovative research in knowledge acquisition on the Web in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, computer vision, and automated quality assessment will be developed. AIPHES will investigate a novel, complex scenario for information preparation from heterogeneous sources. It interacts closely with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.

AIPHES emphasizes close contact between the students and their advisors with regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. Participating research groups at Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Claudia Schulz), Machine Learning (Prof. Kersting), Visual Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at Ruprecht Karls University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of the Heidelberg Institute for Theoretical Studies (HITS). AIPHES strives to publish its results at leading scientific conferences and is actively supporting its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.

'''Prerequisites'''

We are looking for exceptionally qualified candidates with a degree in Computer Science, Machine Learning, NLP, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Prior experience in scientific work is a plus. Applicants should be willing to work on lesser-resources languages, e.g. German, and, if necessary, to acquire basic German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

The research environment is excellent. The [https://www.informatik.tu-darmstadt.de/ Department of Computer Science of TU Darmstadt] is regularly ranked among the top ones in respective rankings of German universities. [https://www.ukp.tu-darmstadt.de/ UKP Lab] is a highly dynamic research group committed to top-level conferences, technologies of the highest standards, cooperative work style and close interaction of team members. Its BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasizes NLP, machine learning and text mining. The large-scale [http://www.argumentext.de/ argument mining project] allows searching large document collections in response to a user-defined topic: neural networks determine relevant pro and con arguments in real-time, and represent them in a concise summary.

Applications should include a motivational letter that refers to one of the planned research areas of [http://www.aiphes.tu-darmstadt.de/ AIPHES], a CV with information about the applicant’s scientific work, certifications of study and work experience, as well as a thesis or other publications in electronic form. Application materials must be submitted via the following form by '''April 3rd, 2018''': https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/

In addition, applicants should be prepared to solve a programming and a reviewing task in the first two weeks after their application.

== Tenure track at IDSIA (Switzerland) in Natural Language Understanding and Text Mining ==

* Employer: IDSIA (www.idsia.ch)

* Title: Tenure track

* Specialty: Natural Language Understanding and Text Mining

* Location: Lugano, Switzerland

* Deadline: March 31th, 2018 (start date flexible)

* Date posted: March 16, 2018

* Contact email: Giorgio Corani (giorgio.corani@supsi.ch)

'''Project Description''' 

The person hired on this position will evenly share her/his working time on two main activities:

*Basic research, aiming at publications in highly rated journals and international conferences;

*Applied research, collaborating with industrial partners in cutting-edge projects.

A further cross-activity will be contributing to search for funding opportunities of both basic and applied research.

The involved research area regards natural language understanding (probabilistic language modeling, keyword extraction, text summarization), text mining (text classification, word embedding, topic models) and semantic analysis of the text.

'''Requirements''' 

*The position is for a young researcher who has already obtained a PhD on a topic relevant to Natural Language Processing and/or Text Mining;

*Master in informatics or other areas with strong emphasis on computation;

*Excellent programming skills and deep knowledge of libraries for natural language processing;

*Communication and collaboration skills.

*Proficiency in written and spoken in English.

'''Optional but preferential''' 

*Strong publications record;

*Capability of leading projects carried out with industrial partners on automatic analysis of documents;

*Good knowledge of machine learning algorithms and tools;

*Good knowledge of written and spoken Italian, or willingness to learn it in short times.

'''We offer''' 

*A tenure track position (degree of occupancy 100%)

*International working environment;

*Collaboration with a strong team of researchers in Machine Learning and Statistics (our publication record is available at: [http://ipg.idsia.ch]);

*Salary starting from 80,000 CHF / year (about 84,000 $/year)

'''Application''' 

Applicants should submit the following documents, written in English:

*curriculum vitae

*list of exams and grades obtained during the Bachelor and the Master of Science;

*list of three references (with e-mail addresses);

*brief statement on how their research interests fit the topics above (1-2 pages);

*publications list and possibly link to the thesis.

Applications should be submitted through the [http://www.form-ru.app.supsi.ch/view.php?id=276008 Application website]

== Postdoctoral position in Psychology at University of Pennsylvania==

* Employer: University of Pennsylvania

* Title: Postdoctoral Researcher

* Specialty: Computational Linguistics

* Location: Philadelphia, Pennsylvania

* Deadline: March 20th, 2018 (start date flexible)

* Date posted: February 27, 2018

* Contact email: Sudeep Bhatia (bhatiasu@sas.upenn.edu)

'''Project Description''' 

The researcher will study how word embeddings and related techniques can be used to model how people represent objects and events, and, in turn, predict human probability judgment, event forecasting, social judgment, risk perception, and consumer behavior.

'''Requirements''' 

Candidates should have completed (or should be about to complete) a PhD in Computer Science, Psychology , Cognitive Science, or related fields, and should be interested in applying natural language processing to address questions in Psychology, Policy, Economics, and Marketing. Applicants should have graduate-level expertise in natural language processing and machine learning.

'''Additional Details''' 

The position will be based in the Psychology department at the University of Pennsylvania, and will be supervised by Sudeep Bhatia. Lyle Ungar will serve as a second advisor. The postdoctoral researcher will also be encouraged to interact with the broader intellectual community at Penn. The appointment is expected to begin Sept 1, 2018 (start date is flexible). The term of hiring is one year, renewable for up to one additional year. The position is full time and there are no teaching or administrative responsibilities.

'''How to Apply''' 

Applications for the positions must be submitted by March 20th, 2018, to ensure full consideration. However, review of applications will continue until the position is filled. Applicants should email a curriculum vitae and contact information for two references to Sudeep Bhatia at bhatiasu@sas.upenn.edu.

== Postdoctoral Research Scientist: Computational Linguistics - Rochester Institute of Technology ==

* Employer: Rochester Institute of Technology

* Title: Postdoctoral Research Scientist

* Specialty: Postdoctoral Research Scientist: Computational Linguistics

* Location: Rochester, New York, United States

* Deadline: Open until filled

* Date posted: February 17, 2018

* Contact: Cecilia O. Alm ([mailto:coagla@rit.edu coagla@rit.edu])

* [https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25483&siteid=5289#jobDetails=1404561_5289 Job listing]

We invite applications for an interdisciplinary postdoctoral position with specialization in computational linguistics and/or technical or scientific methods in language science at Rochester Institute of Technology (RIT), in Rochester, NY. This is a one-year position with opportunity for renewal. The applicant should demonstrate a fit with our commitment to collaborate with colleagues across the university on research initiatives in Personalized Healthcare Technology. In addition to engaging in research projects, the right candidate will be able to teach a total of two courses per year - one course each in the College of Liberal Arts and the Golisano College of Computing and Information Sciences at RIT. The teaching assignment may be Computer Science Principles, Introduction to Language Science, Language Technology, Introduction to Natural Language Processing, Science and Analytics of Speech (acoustic and experimental phonetics), Spoken Language Processing (automatic speech recognition and text-to-speech synthesis), Seminar in Computational Linguistics, or another course depending on background.

'''Required Minimum Qualifications:''' 

* PhD., with training in Computational Linguistics, Linguistics, or an allied field

* Advanced graduate coursework in computational linguistics (natural language processing or speech processing), linguistics, or language science broadly

* Publication record and plan for research and grant seeking activities

* Ability to contribute in meaningful ways to our commitment to cultural diversity, pluralism, and individual differences

'''Required Application Documents:''' 

Cover Letter, Curriculum Vitae or Resume, List of References, Research Statement

'''How To Apply:''' 

Please apply at: [http://careers.rit.edu/staff http://careers.rit.edu/staff]. Click the link for search openings and in the keyword search field, enter the title of the position or 3599BR.

== Postdoctoral Research Fellow: Automated Text Analysis - University of Michigan ==

* Employer: University of Michigan

* Title: Research Fellow

* Specialty: Postdoctoral Research Fellow: Automated Text Analysis

* Location: Ann Arbor, Michigan, United States

* Deadline: March 12, 2018, desired start June 2018

* Date posted: February 12, 2018

* [http://careers.umich.edu/job_detail/153763/postdoctoral_research_fellow_automated_text_analysis Official Job Listing - Application Page]

'''How to Apply''' 

A cover letter is required for consideration for this position and should be included as the first page of your CV. The cover letter should outline your specific interest in the position and outline skills and experience that directly relates to this position.

'''Job Summary''' 

A generously funded project (2016-2021) welcomes applicants with interest in and expertise in automated text analysis. The project, M-Write, brings together researchers from writing studies, the natural sciences, and computer programming to investigate how Writing-to-Learn pedagogies promote conceptual learning by students in large-enrollment gateway courses. Students write in response to carefully crafted assignments, participate in automated peer review, and then revise their drafts. Approximately 10,000 students have already participated in M-Write courses, which means that there is already a large corpus of student writing and peer review responses, with more being added each semester. We seek a specialist in automated text analysis to join the research team. Goals include principled corpus compilation, analysis, and development of corpus-driven algorithms to support student learning of key concepts highlighted in assignments.

This position will be a 12-month Post-Doctoral Fellowship beginning in June 2018 with possibility of renewal. The salary is negotiable.

'''Responsibilities'''

* Retrieve and create corpora for NLP and associated linguistic analysis

* Develop and test systems for identifying students who appear to lack key concepts as defined by lexical and grammatical structures, discourse analysis, and possible sentiment analysis

* Design a data warehouse that will facilitate the ability to collect, manage, and archive data including student interviews, student surveys, student writing samples, and academic and demographic data for students in order to conduct research leading to peer-reviewed publications, and future external funding

* In collaboration with other project staff collect, manage, and archive data including student interviews, student surveys, student writing samples, and academic and demographic data for students in order to conduct research that could lead to peer-reviewed publications

* Organize, synthesize, and analyze project data, and write co-authored papers with project PIs for peer-reviewed articles

'''Required Qualifications''' 

Ph.D. in computational linguistics, natural language processing, machine learning, cognitive linguistics, sentiment analysis or related area. Previous research experience in textual analysis in terms of syntax (e.g. parts of speech tagging), semantics (e.g. topic segmentation) and discourse analysis is essential. Research in statistical modeling is also required. Strong computer science skills are essential, and data warehouse design skills are highly desired. Background in the theory and research of writing-to-learn pedagogies and experience with educational technology in natural language processing are desired but not required.

'''Background Screening''' 

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act.

'''U-M EEO/AA Statement''' 

The University of Michigan is an equal opportunity/affirmative action employer.

== CU Boulder: Postdoc in Machine Learning with an Emphasis on Speech and Language Processing ==

* Employer: University of Colorado Boulder

* Title: Postdoctoral Associate

* Specialty: Machine Learning, Speech and Language Processing

* Location: Boulder, Colorado, United States

* Deadline: Ongoing, desired start August 2018

* Date posted: February 9, 2018

* Contact: [mailto:sidney.dmello@colorado.edu Dr. Sidney D’Mello]

'''Postdoc in Machine Learning with an Emphasis on Speech and Language Processing''' 

(Department of Computer Science and Institute of Cognitive Science at the University of Colorado Boulder)

The Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral research associate starting August 2018 for one year and renewable for a second (and third) year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.

The successful candidate will conduct research in machine learning applied to speech and language processing to solve challenging, but impactful, real-world problems. He/she will participate in the development and application of advanced machine learning techniques (e.g., deep recurrent neural networks) to multi-party speech data collected in authentic contexts (e.g., classroom discourse, small group collaborative problem solving).

The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science and the Institute of Cognitive Science.

The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop new technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills by mentoring students, and gain expertise in co-authoring grant proposals.

'''Required'''

* Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire

* Research experience in advanced machine learning (e.g., deep learning, probabilistic graphical models)

* Evidence of a strong publication record in the aforementioned areas

'''Desired'''

* Research experience in one or more of the following areas: acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling

'''Job Details'''

* One year initial position with possible extension to a second and third year based on performance and availability of funds

* Desired start date is August 2018. However, start date is negotiable

* Competitive salary with benefits commensurate with qualifications

'''How to Apply''' 

Please complete the following form: https://tinyurl.com/CUPostDoc1 and upload the following required documents: (1) cover letter, (2) current CV, and (3) one or two representative publications '''as a single PDF''' document named '''FirstNameLastName.pdf'''.

Additional documents will be required from candidates selected for further review after the initial documents are received: (4) – The document uploaded for Proof of Degree can be a Transcript which shows the date the degree was conferred; Copy of Diploma; or official letter from the Registrar or the Dean of the School or College conferring the degree; and (5) – List of references

'''About the University of Colorado and the City of Boulder''' 

The University of Colorado Boulder is a widely recognized and respected research university in the U.S. Its 11 research institutes house more than 900 researchers, students, and staff, making a major contribution to the research infrastructure of the university and local economy. Boulder is one of the 34 public research institutions belonging to the Association of American Universities (AAU). It contributes to the local community via research partnerships, education opportunities, and development projects.

The city of Boulder hosts thriving tech industries, supports a renowned entrepreneurial community, has some of the region's best restaurants, and is home to many federal research labs. There are endless ways to enjoy Boulder's 300-plus days of sunshine a year — from the hundreds of miles of hiking and biking trails to some of the country's finest microbrews. It's also quick and easy to get around by bus or bike and a quick 25 mile ride to nearby Denver.

'''Special Instructions to Applicants''' 

The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.

The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at [mailto:adacoordinator@colorado.edu adacoordinator@colorado.edu].

== Full-time Researchers, IBM Research - Almaden ==

* Employer: [http://research.ibm.com/labs/almaden/index.shtml IBM Research - Almaden]

* Title: Research Staff Member

* Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas

* Location: San Jose, California, USA

* Deadline: June 1, 2018

* Date posted: January 31, 2018

* Contact: Yunyao Li (yunyaoli {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)

IBM Research - Almaden is looking for talented researchers with background in Natural Language Processing and Machine Learning to join the Natural Language Processing, Entity Resolution and Discovery Department. We are actively building the next-generation knowledge engineering platform for the creation, maintenance and consumption of "industry-specific" knowledge bases from a large number of (un/semi)structured public, licensed and enterprise content sources. Such industry-specific knowledge bases are the foundation of many emerging AI services and applications.

Such a platform needs to support the entire life cycle for knowledge engineering including:

* Creation, maintenance and evolution of domain schema to capture domain concepts of interest

* Scalable systems, tools and methodologies to support the development of individual analytic stages involved in creating knowledge from multiple sources, including text analytics, entity resolution and integration, cleansing, data transformations and machine learning

* Domain adaptability and easy-to-use interfaces for key user personae for the individual analytic stages

* Scalable content services infrastructure that enables production-level deployment of these analytic workflows with support for continuous monitoring, introspection and recovery in the knowledge base creation process

* Techniques and methods for scalable and flexible indexing and querying support over the knowledge base supporting structured and search style queries, entity queries, as well as ad-hoc and exploratory queries

* Easy-to-use knowledge consumption interfaces for both human and machine consumption including support for discovery and ad-hoc NLQ driven interfaces

* Incorporating crowd sourcing and continuous evolution of the system through learning from user interactions

The research builds upon and extends successful projects from our group, which have resulted in significant academic, industrial and open source impact.

* SystemT: http://researcher.watson.ibm.com/researcher/view_group.php?id=1264

* Midas: http://researcher.watson.ibm.com/researcher/view_group.php?id=2171

* SystemML: http://researcher.watson.ibm.com/researcher/view_group.php?id=3174

The research is being conducted in close collaboration with the IBM Watson division and multiple global IBM Research labs (Australia, India, and Zurich), with focus around demonstrating scalable knowledge base construction in multiple industry domains (e.g., Healthcare, Financial and consumer domains).

We are currently looking for talented researchers with interest in system design and implementation as well as experience in one or more areas relevant to the knowledge engineering life cycle as described above, particularly those with background in Natural Language Processing and Machine Learning. You will participate in cutting edge research, build at industrial scale, and keep connected to the larger research community by regularly publishing papers and partnering with universities.

'''Required'''

* Bachelor's degree or equivalent in Computer Science, related technical field or equivalent practical experience.

* Programming experience in one or more of the following: Java, C, C++ and/or Python.

* Experience in Natural Language Processing, Computational Linguistics, Machine Learning, Large-Scale Data Management, Data Mining or Artificial Intelligence

* Contribution to research communities and/or efforts, including publishing papers at conferences such as ACL, EMNLP, NIPS, AAAI, ICML, SIGMOD, VLDB, and KDD.

'''Preferred'''

* PhD in Computer Science, related technical field or equivalent practical experience.

* Relevant work experience, including experience working within the industry or as a researcher in a lab.

* Ability to design and execute on research agenda.

* Strong publication record.

== PhD-level Researchers, AIPHES, Darmstadt/Heidelberg ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] or [http://www.cl.uni-heidelberg.de/ Ruprecht Karls University Heidelberg], Germany

* Title: Doctoral researcher

* Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas

* Location: Darmstadt or Heidelberg

* Deadline: February 11, 2018

* Date posted: January 21, 2018

* Contact: [https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/ AIPHES recruitment form]

PhD positions in DFG Graduate School AIPHES: Natural Language

Processing and Computational Linguistics

The Research Training Group [http://www.aiphes.tu-darmstadt.de/ “Adaptive Information Preparation from Heterogeneous Sources” (AIPHES)], which has been established in

2015 at Technische Universität Darmstadt and at Ruprecht Karls

University Heidelberg is filling several positions for three years,

starting as soon as possible. Positions remain open until filled.

The positions provide the opportunity to obtain a doctoral degree in

the research area of the training group with an emphasis, e.g., in

opinion and sentiment - extrapropositional aspects of discourse, in

natural language processing tasks such as structured summaries of

complex contents, in content selection and classification enhanced by

reasoning, or a related area. The group will be located in Darmstadt

and Heidelberg. The funding follows the guidelines of the DFG, and the

positions are paid according to the E13 public service pay scale.

The goal of AIPHES is to conduct innovative research in knowledge

acquisition on the Web in a cross-disciplinary context. To that end,

methods in computational linguistics, natural language processing,

machine learning, network analysis, computer vision, and automated

quality assessment will be developed. AIPHES will investigate a novel,

complex scenario for information preparation from heterogeneous

sources. It interacts closely with end users who prepare textual

documents in an online editorial office, and who should therefore

profit from the results of AIPHES. In-depth knowledge in one of the

above areas is desirable but not a prerequisite.

Participating research groups at Technische Universität Darmstadt are

Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge

Processing (Prof. Gurevych), Machine Learning (Prof. Kersting), Visual

Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at

Ruprecht Karls University Heidelberg are the Institute for

Computational Linguistics (Prof. Frank) and the Natural Language

Processing Group (Prof. Strube) of the Heidelberg Institute for

Theoretical Studies (HITS).

AIPHES emphasizes close contact between the students and their

advisors with regular joint meetings, a co-supervision by professors

and younger scientists in the research groups, and an intensive

exchange as part of the research and qualification program. The

training group has the goal of publishing its results at leading

scientific conferences and will actively support its doctoral

researchers in this endeavor. The software that will be developed in

the course of AIPHES should be put under the open source Apache

Software License 2.0 if possible. Moreover, the research papers and

datasets should be published with open access models.

'''Prerequisites'''

We are looking for exceptionally qualified candidates with a degree in

Computer Science, Computational Linguistics, or a related study

program. We expect ability to work independently, personal commitment,

team and communication abilities, as well as the willingness to

cooperate in a multi-disciplinary team. Desirable is experience in

scientific work. Applicants should be willing to work with

German-language texts, and, if necessary, to acquire German language

skills during the training program. We specifically invite

applications of women. Among those equally qualified, handicapped

applicants will receive preferential consideration. International

applications are particularly encouraged.

The [https://www.informatik.tu-darmstadt.de/ Department of Computer Science of TU Darmstadt] is regularly

ranked among the top ones in respective rankings of German

universities. [http://www.cl.uni-heidelberg.de/ The Institute for Computational Linguistics (ICL)] of the

Ruprecht Karls University Heidelberg is one of the largest centers

for computational linguistics both in Germany and internationally. The

ICL and the NLP department of the HITS jointly run the graduate

program [http://semproc.cl.uni-heidelberg.de/ “Semantic Processing”] with an integrated research training

group “Coherence in language processing: Semantics beyond the

sentence”, which has a close connection to the topics in computational

linguistics of AIPHES.

Applications should include a motivational letter that refers to one

or two of the planned research areas of AIPHES, a CV with

information about the applicant’s scientific work, certifications of

study and work experience, as well as a thesis or other publications

in

electronic form. Application materials must be submitted via the

following form by February 11th, 2018:

https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/

In addition, applicants should be prepared to solve a programming and

a reviewing task in the first two weeks after their application.

== Associate Research Scientist, UKP Lab, TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany

* Title: Associate Research Scientist

* Specialty: Interactive text analysis

* Location: Darmstadt

* Deadline: February 16, 2018

* Date posted: January 21, 2018

* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of

Computer Science, Technische Universität (TU) Darmstadt, Germany has

an opening for an

Associate Research Scientist

(PostDoc- or PhD-level; for an initial term of two years)

in the areas of Interactive Text Analysis, the UKP Lab is looking for

a researcher with a background in Natural Language Processing and

Software Development to work on the project [https://www.ukp.tu-darmstadt.de/research/current-projects/inception/ INCEpTION] funded by

the German Research Foundation (DFG). The project is developing a

comprehensive interactive text analysis platform to improve efficiency

and to enable new ways of exploring, annotating and analyzing

large-scale text corpora through the use of assistive features based

on machine-learning.

We ask for applications from candidates from Computer Science with a

specialization in Natural Language Processing, Text Mining, or Machine

Learning, preferably with expertise in research and development

projects, and strong communication skills. The successful applicant

will work on research and development activities regarding text

annotation by end-users (researchers, analysts, etc.), information

recommendation, and create the corresponding text analysis platform.

Ideally, the candidates should have demonstrable experience in

designing complex (NLP and/or ML) systems (frontend and backend), in

applying NLP-related Machine Learning-based methods, and strong

programming skills especially in Java. Experience with neural network

architectures and demonstrable engagement in open source projects are

strong pluses.

The UKP Lab is a research group comprising over 30 team members who

work on various aspects of Natural Language Processing (NLP), with a

rapidly developing focus on Interactive Machine Learning and who

provide a range of high-quality open source software packages for

interactive and automatic text analysis to research and industry

communities.

UKP’s wide cooperation network both within its own research community

and with partners from research and industry provides an excellent

work environment. The Department of Computer Science of TU Darmstadt

is regularly ranked among the top ones in respective rankings of

German universities. Its Research Training Group “Adaptive Information

Processing of Heterogeneous Content” (AIPHES) funded by the DFG

emphasizes NLP, machine learning, text mining, as well as scalable

infrastructures for the assessment and aggregation of knowledge. UKP

Lab is a highly dynamic research group committed to high-quality

research results, technologies of the highest standards, cooperative

work style and close interaction of team members.

Applications should include a detailed CV, a motivation letter and an

outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things

being equal, candidates with disabilities will be given preference.

Please send the applications to:

[mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 16.2.2018. The positions

are open until filled. Later applications may be considered if the

position is still open.

Employment opportunities, postdoctoral positions, summer jobs

2019-08-09T19:51:05Z

ETSOC:

Associate Research Scientist, Speech ; EDUCATIONAL TESTING SERVICE; Princeton New Jersey

Educational Testing Service (ETS), with headquarters in Princeton, NJ, is the world's premier educational measurement institution and a leader in educational research. With more than 3,400 global employees, we develop, administer and score more than 50 million tests annually in more than 180 countries at more than 9,000 locations worldwide. We design our assessments with industry-leading insight, rigorous research and an uncompromising commitment to quality so that we can help education and workplace communities make informed decisions.

ETS's Research & Development division has an opening for an associate research scientist in the Speech area of the NLP & Speech research center. The projects in this research group focus on the application of NLP, speech, dialogue, and multimodal processing algorithms in automated scoring capabilities for assessment and learning tasks involving constructed responses (such as essays and spoken responses). In addition to its signature automated scoring systems for text and speech assessments, the group is actively pursuing technology innovation in education and learning spaces by performing foundational research, prototyping next-generation capabilities, and collaborating with academic and industry partners. The NLP & Speech research group currently comprises around 20 PhD-level research scientists, 10 research engineers, and 10 research assistants and administrative staff.

This is an excellent opportunity to be part of a world-renowned research and development team and have a significant impact on existing and next-generation NLP, speech, dialogue, and multimodal systems and their use in educational applications.

Responsibilities:

*Conceptualizing, proposing, obtaining funding for, and directing small projects in the area speech processing for educational applications and assisting in moderate-to-major research projects.
*Assist in generating or contributing to new knowledge or capabilities in the field of speech processing and in applying that new knowledge and capabilities to existing and/or new ETS products and services. Some speech processing research areas that are relevant to ETS R&D include (but are not limited to) automatic speech recognition for non-native speakers of English, voice biometrics, computer-assisted pronunciation training, and automated speech scoring.
*Participate in setting substantive research and development goals and priorities for a group or initiative within a vice presidential area.
*Develop proposals and budgets for small projects and/or assist in development for moderate-to-major ones.

Requires:

*Ph.D. in Computer Science, Computational Linguistics, Electrical Engineering, Natural Language Processing, Linguistics, or a similar area with major education in speech processing.
*At least one year of independent substantive research experience in speech processing is required. Experience can be gained through doctoral studies.
*Practical expertise with speech processing tools (e.g., kaldi), experience with machine learning toolkits (e.g., Weka, scikit-learn), and fluency in at least one major programming language (e.g. Java, Python).
*Practical experience with deep learning paradigms and toolkits (e.g., TensorFlow, pytorch, Keras) is highly desirable.
*Documented contributions to research communities and a strong publication record and experience I system building and prototyping are preferred.

We offer a competitive salary, comprehensive benefits, possible relocation assistance and excellent opportunities for professional and personal growth. For a full list of position responsibilities and to apply please visit the following link: Associate Research Scientist, Speech https://etscareers.pereless.com/index.cfm?fuseaction=83080.viewjobdetail&JID=290092&BUID=2538&cid=83080

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of Women and Minorities.

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of protected Veterans and Individuals with Disabilities.

EDUCATIONAL TESTING SERVICE is a Drug-free workplace.

Apply Here: http://www.Click2Apply.net/bk2nyzrv9cwpqgdr

PI112670813

Postdocs on Facebook-sponsored neural NLG project, Ohio State University

Employer: The Ohio State University
Title: Postdoctoral Scholar
Specialty: NLG, conversational systems, NLP
Location: Columbus, OH, USA
Deadline: August 18, 2019
Date posted: August 2, 2019
Contacts: Michael White (mwhite@ling.osu.edu)

Multiple postdoctoral scholar positions are open at Ohio State for a Facebook-sponsored project on natural language generation in conversational system with the theme of structure in neural NLG.

Full details are available on the application page: https://www.jobsatosu.com/postings/96937
Open Rank Professor, iSchool and Department of Criminology and Criminal Justice, University of Maryland

Employer: University of Maryland
Title: Open Rank Professor
Specialty: Data-driven analyses in crime, law and justice
Location: College Park, MD
Deadline: October 1, 2019 (deadline for full consideration, late applications may be accepted)
Date posted: July 26, 2019
Contacts: Katie Shilton (kshilton@umd.edu) and Laura Dugan (ldugan@umd.edu)

The College of Information Studies (Maryland’s iSchool) and the Department of Criminology and Criminal Justice at the University of Maryland, College Park invite applications for an open rank tenure-track or tenured faculty position with a focus on building systems for and conducting data-driven analyses in crime, law and justice. Examples of possible research approaches include: data mining; information visualization; automating or advancing data pre-processing; signal processing, computer vision, and natural language processing; applied machine learning; algorithmic transparency, debiasing algorithms and data, and algorithmic accountability; and computational social science.

We are interested in candidates who apply these topics in the context of criminology, justice, and criminal law (e.g., predictive policing, pretrial risk assessment, database building through open sources, linking criminal records, recidivism prediction, management of bodycam video, face recognition in surveillance images, management of DNA evidence). Candidates with data-driven approaches to related social science topics are encouraged to apply.

Applicants should apply electronically at https://ejobs.umd.edu/postings/71777.
Tenure-track Assistant Professor of Computational Linguistics, Boston University

Employer: Boston University
Title: Assistant Professor
Specialty: Computational Linguistics
Location: Boston, MA
Deadline: October 20, 2019 (deadline for full consideration, late applications may be accepted)
Date posted: July 24, 2019
Contact: Carol Neidle <carol@bu.edu>

The Boston University Linguistics Department seeks a tenure-track Assistant Professor of Computational Linguistics (for primary appointment in Linguistics, secondary appointment in or affiliation with Computer Science), beginning July 1, 2020, pending budgetary approval; to conduct research, teach courses in Computational Linguistics and related areas (Linguistics, Computer Science) at introductory and advanced levels, and advise graduate and undergraduate students. Should have excellent programming skills and experience in computational linguistic research. Experience in application of computational methods to field linguistics or analysis of understudied languages would be a plus. Requirements include PhD in Linguistics (preferred) or Computer Science in hand by start date, with strong background in both fields, and demonstrated excellence in teaching, advising, and research. For further information: http://ling.bu.edu/ and http://www.bu.edu/cs/ .

Applications should be uploaded through https://academicjobsonline.org/ajo/jobs/14064. Full details of application requirements, as well as a statement of the university’s commitment to diversity and inclusion, are available on that site.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.

Full-Time Research Engineer, New York University

Employer: New York University
Title: Research Engineer
Specialty: Open-source software, pretraining and transfer learning
Location: New York, USA
Deadline: July 31, 2019 (deadline for full consideration, late applications may be accepted)
Date posted: July 17, 2019
Contact: Sam Bowman <bowman@nyu.edu>

'm hiring a full-time research engineer. If you're interested in transitioning from software engineering to NLP/ML research, and you'd be up for a stint in an academic lab, there's more information and an application from here: https://apply.interfolio.com/65666
PhD in Biomedical Information Extraction, The University of Manchester, UK

Employer: University of Manchester
Title: PhD in Biomedical Information Extraction
Specialty: Natural Language Processing, Text Mining, Machine Learning
Location: Manchester, UK
Deadline: May 26, 2019
Date posted: May 10, 2019
Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

The National Centre for Text Mining (http://www.nactem.ac.uk), School of Computer Science in collaboration with the Faculty of Biology, Medicine and Health, The University of Manchester, offer a PhD scholarship to advance research in neural information extraction applied to cancer mechanisms.

Candidates must have a minimum upper second class first degree in Computer Science and an MSc in Computer Science or a related discipline. Experience in machine learning and neural networks applied to NLP are highly desirable, as is the ability to work in an interdisciplinary setting.

Further information can be obtained here: http://nactem.ac.uk/newsitem.php?item=393
PhD in Biomedical Information Extraction, The University of Manchester, UK

Employer: University of Manchester
Title: PhD in Biomedical Information Extraction
Specialty: Natural Language Processing, Text Mining, Machine Learning
Location: Manchester, UK
Deadline: May 26, 2019
Date posted: May 10, 2019
Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

The National Centre for Text Mining (http://www.nactem.ac.uk), School of Computer Science in collaboration with the Faculty of Biology, Medicine and Health, The University of Manchester, offer a PhD scholarship to advance research in neural information extraction applied to cancer mechanisms.

Candidates must have a minimum upper second class first degree in Computer Science and an MSc in Computer Science or a related discipline. Experience in machine learning and neural networks applied to NLP are highly desirable, as is the ability to work in an interdisciplinary setting.

Further information can be obtained here: http://nactem.ac.uk/newsitem.php?item=393

24-month Postdoctoral Position, IRISA (France, Lannion), Paraphrase Generation / Natural Language Generation

Employer: University of Rennes 1
Title: Postdoctoral Researcher
Specialty: Natural language processing
Duration: 24 months
Location: Lannion, France
Deadline: until filled
Date posted: April 23, 2019
Contact: Gwénolé Lecorvé (gwenole.lecorve@irisa.fr), Jonathan Chevelu (jonathan.chevelu@irisa.fr)

Overview

IRISA [1] is the largest research laboratory dedicated to computer science in France, hosting more than 800 people and 40 research teams. Its activities spans all the fields of computer science. It is located in Rennes, Lannion, and Vannes.

The Expression team [2] works on natural language processing (NLP), be it through texts, speech or gestures. In particular, it focuses on the expressive components of the human languages.

The opened position is part of the ANR TREMoLo project [3] hosted by the team and aimed at transforming the language register of texts, for instance mapping a text from the formal register to the casual one. This involves work on linguistic characterization, pattern mining and paraphrase generation. The activities are conducted on the French language.

The recruited person will work on a paraphase generation and propose solution to integrate register-specific stylistic constraints. She/he is expected to investigate on the use of statistical and neural paraphrasing systems, that is:

Training of a baseline systems using either statistical or neural approaches.
Intregration of constraints formulated as sequential patterns.
Organization of evaluation campaigns.

Job requirements

PhD in natural language processing or machine learning
Top academic and publication records
Good communication skills
Team work experience
Knowledge in French is a plus but is not required.

Postdoctoral Position Available in Natural Language Processing and Human-Robot Interaction, Army Research Lab

Employer: US Army Research Laboratory
Title: Postdoctoral Researcher
Specialty: Natural language processing, human-robot interaction, dialogue systems
Location: Adelphi, Maryland, United States with ~8 weeks of travel per year to Boston
Deadline: April 30, 2019 (or until filled)
Date posted: April 15, 2019
Contact: Matthew Marge (matthew.r.marge.civ@mail.mil)

Overview

The US Army Research Laboratory (ARL) is welcoming applications for a one-year renewable (up to 3 years) postdoctoral position at the intersection of natural language processing (NLP) and human-robot interaction (HRI), focusing on dialogue with robots. The successful candidate will contribute to the research and development of the project, “Learning about the Physical World Autonomously through Information-Theoretic Dialogue”, funded by the Office of the Secretary of Defense's Laboratory University Collaboration Initiative (LUCI) Fellowship. The goal of the project is to investigate techniques for robots to learn, from natural language dialogue, about objects and actions in the physical world.

In support of this effort, ARL is looking for an individual with a PhD or equivalent experience, with interest and a background in human-robot interaction, natural language processing, symbol grounding, and/or dialogue systems. We plan to develop an approach to detecting uncertainty about objects and actions using multiple modalities (e.g., language and vision), so that robots can initiate natural language questions that humans can answer that maximize the agent's information gain in a situation.

The project is supervised by Dr. Matthew Marge (ARL), with co-PI Dr. Gordon Briggs (NRL), and faculty collaborator Prof. Matthias Scheutz (Tufts University). The successful candidate will collaborate with the PIs on designing human-robot interaction experiments and developing techniques to support human-robot dialogue systems.

The position is available immediately with a duty station at the Adelphi Laboratory Center (ALC), Adelphi, MD (Washington, D.C. metro area), with extended travel (~8 weeks per year) to Boston, MA to visit the Human-Robot Interaction Lab at Tufts University and periodic travel to the Laboratory for Autonomous Systems Research at the Naval Research Laboratory, Washington, D.C.

Job requirements:

Ph.D. or equivalent research experience in computer science, artificial intelligence, computational linguistics, human-robot interaction, computer engineering or related field.
U.S. citizenship is preferred.

To learn more about this position, or to apply, please send questions or a CV to Dr. Matthew Marge at matthew.r.marge.civ@mail.mil.
Associate Research Scientist in Natural Language Processing, UKP Lab, TU Darmstadt

Employer: UKP Lab, Technische Universität Darmstadt, Germany
Title: Associate Research Scientist
Specialty: Natural Language Generation, Semantics and Discourse Processing, Multi-document Information Consolidation
Location: Darmstadt
Deadline: April 30, 2019 (or until filled)
Date posted: April 12, 2019
Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist
(PhD-level; for an initial term of two years)

This position should further strengthen the group’s profile in one or more areas of Natural Language Processing (NLP), such as natural language generation, semantics and discourse processing, or multi-document information consolidation.

UKP Lab is a research group comprising over 30 team members who work on various aspects of data-driven NLP and machine learning with their novel applications in various domains, e.g. conversational IR systems, scientific literature analysis, or social media mining.

We ask for applications from candidates in Computer Science with a specialization in Natural Language Processing or Text Mining, preferably with prior expertise in the relevant areas of computer science and strong programming skills. Experience with neural network architectures and demonstrable engagement in open source projects are strong advantages. Strong communication skills in English are a must.

UKP’s provides an excellent cooperation network with both top academic and industrial partners in Artificial Intelligence (AI), and a supportive research environment within the lab. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique profile around AI and the DFG-funded Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) emphasize NLP, machine learning, and scalable infrastructures for the assessment and aggregation of information. UKP Lab is a high-profile research group committed to cutting-edge research, dynamic operations, cooperative work style and close interaction of team members. The selected candidates will have an opportunity for professional growth according to their seniority level.

Applications should include a detailed CV, a motivation letter and an outline of previous work or research experience (if available). Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference.

Please submit your application via the following form by April 30th, 2019: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The position is open until filled.
Senior Research Scientist - Natural Language Processing at Bosch Research

Employer: Bosch Research
Title: Senior Research Scientist (Principal level position also available)
Specialties: Natural language processing, natural language understanding, information retrieval, question answering, information extraction.
Location: Sunnyvale, CA, USA
Deadline: N/A (The position is open until filled)
Date Posted: March 7, 2019
Website: http://smrtr.io/_cXw

Company Description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design. In all areas we work in close collaboration with our partners at leading US universities, leading-edge industry partners, and other worldwide Bosch research, development, and marketing units.

The focus of our global HMI research includes Visual Computing, Audio and Language Computing, Conversational AI, Smart Wearables and Haptics, User Experience (UX) and Human Factors, etc. We develop intuitive, interactive and intelligent solutions to enable an inspiring UX for Bosch products and services in application areas such as autonomous driving, car infotainment and driver assistance systems (ADAS), Industry 4.0 and Internet of Things (IoT), security systems, smart home and building solutions, health care, and robotics.

As a part of the global Human Machine Interaction research unit, our Language and Audio Computing group is responsible for shaping the future user experience of Bosch products by developing cutting-edge technologies and prototype systems in the fields of text and audio processing, including natural language processing, natural language understanding, question answering, information retrieval, and audio signal processing. We work on solutions to hard challenges of truly understanding the human language and audio signals, extracting the semantics from text and audio, and enabling natural, intuitive and intelligent HMI and personal assistance. We work with internal partners at various Bosch business units to transfer our ideas and solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals, e.g., ACL, EMNLP, NAACL, COLING, AAAI, ISWC, Interspeech, ICASSP

Job Description

Drive advanced research and engineering of Natural Language Processing (NLP) technologies
Apply research results to Bosch prototypes, products and services of information retrieval, question answering, conversational AI, and information extraction.
Working together with Bosch business units to integrate the resulting system/software into Bosch platform with high quality implementation
Summarize research findings in high-quality paper and/or patent submissions

Natural Language Processing Research Associate (KTP Associate) in Wilmslow, Cheshire, UK

Employer: University of Manchester
Title: Natural Language Processing Research Associate (KTP Associate)
Specialty: Natural Language Processing, Text Mining, Machine Learning
Location: Wilmslow, Cheshire, UK
Deadline: April 7, 2019
Date posted: March 7, 2019
Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

An exciting opportunity has arisen for an ambitious graduate who has the ability and confidence to undertake a Knowledge Transfer Partnership (KTP) project between the National Centre for Text Mining (NaCTeM), University of Manchester and Bott and Co.

Bott and Co is a multiple award-winning solicitors based in Wilmslow, near Manchester, with particular expertise in flight delay compensation, holiday sickness and road traffic accident claims.

The successful KTP associate will work with supervisors from both NaCTeM and Bott on a 30 month project, which has the overall aim of building a state-of-the-art Natural Language Processing (NLP) system for legal text mining and predictive modelling (PM).

The position will provide you with a unique opportunity to apply state-of-the-art methods in NLP and PM in the scope of legal analysis.

This post is funded through a Knowledge Transfer Partnership (KTP) award, a UK Government scheme intended to promote sustained and mutually beneficial relationships between universities and industry.

ESSENTIAL SKILLS

BSc and MSc degree in Computer Science or related areas
Specialist (PhD-level) knowledge in Natural Language Processing or extensive experience in the development of NLP/text analysis software
Experience in use of deep learning for NLP/text mining
Experience of machine learning (especially of context aware linear models for multi-task learning, and of active learning) for NLP/text mining
Experience of probabilistic inference, predictive modelling and decision making
Software development experience in Java or Python

LOCATION - Bott and Co, Wilmslow, Cheshire

SALARY - £32,236 to £39,609 per annum plus performance bonus and £5,000 personal development budget

DURATION - 30 months - starting ASAP

CLOSING DATE - 07/04/2019

FURTHER DETAILS AND APPLICATION FORM - https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16973

Postdoc position, KU Leuven

Employer: Department of Computer Science, KU Leuven
Title: Postdoctoral Researcher
Speciality: Representation learning in the context of natural language understanding
Location: Leuven, Belgium
Deadline: February 28, 2019
Date posted: February 13, 2019
Contact: sien.moens@cs.kuleuven.be

We offer a two-year postdoctoral position (extendable to four years) funded by the ERC (European Research Council) Advanced Grant CALCULUS “Commonsense and Anticipation enriched Learning of Continuous representations sUpporting Language UnderStanding” (http://calculus-project.eu). The position focuses on natural language understanding but gives possibilities to research topics in one or more of the following fields: machine learning (especially semi-supervised learning, transfer learning, incremental learning, deep learning and latent variable models), multimodal processing of language and visual data, learning the grounded meaning of language from various contexts in which language is used (e.g., physical, language and social), representation learning at the word, phrase, sentence or discourse level considering various contexts, learning commonsense knowledge about the world from multimodal data, multimodal grammar induction, and inference models for language understanding. The successful candidate will work on innovative natural language understanding research. He or she will be given the opportunity for personal development beyond research, for example by contributing to teaching (e.g., at the undergraduate and graduate levels). For an outstanding candidate there is the potential to grow into an assistant professorship.

KU Leuven ranks among the top 50 universities in THE World University Rankings 2019. The alumni of the LIIR lab have obtained outstanding positions in academics and industry (see https://liir.cs.kuleuven.be/people.php).

Responsibilities

Perform research in language understanding and novel machine learning paradigms in the frame of the CALCULUS project.
Carry out some teaching duties, which may include lectures/exercise sessions, the organization of student seminars, and the supervision of bachelor and master theses.
Help in the supervision of PhD researchers of the CALCULUS team.

Profile

You have (or are near completion of) a PhD in Computer Science (or a related field).
You have a motivated interest in fundamental research in language understanding and machine learning.
You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in relevant journals with high impact factor.
You are good at collaborating with and leading others.
You have a very good knowledge of English, both spoken and written.

Offer

We offer a 2 x two-year postdoctoral position, starting in the summer of 2019.
We offer a competitive wage and yearly budget to attend conferences and for short research stays.

Interested

Please contact Prof. dr. Marie-Francine Moens, tel.: +32 16 32 53 83, mail: sien.moens@kuleuven.be. Excellent candidates will be invited for an interview (possibly via Skype). The position will be closed when a valuable candidate is found.

Postdoc position, Masaryk University

Employer: Machine Learning and Data Processing Department, Faculty of Informatics, Masaryk University
Title: Postdoctoral Researcher
Speciality: natural language processing, knowledge representation and reasoning
Location: Brno, Czech Republic
Deadline: March 1, 2019
Date posted: January 15, 2019
Contact: Ales Horak: hales@fi.muni.cz, subject "Postdoc 2019"
Application link: https://www.muni.cz/en/about-us/careers/vacancies/43809

The Faculty of Informatics of Masaryk University (FI MU) in Brno, Czech Republic, invites applications for Post-doctoral positions in all areas of Computer Science. Brno, the second largest city in the Czech Republic, see https://www.gotobrno.cz/en/, is an attractive city for students and young researchers. The Faculty has a strong interest in attracting applications from abroad.

The postdoctoral positions are awarded for one year with an extension to the second year after a review. Gross salary is 50,000 CZK per month which, with an optional 10% bonus, sums to more than 25,500 EUR per year. Additional funds of 4,000 EUR per year will be available for travel and material expenses. Preferred start date of the contract is in June/July 2019, but other options can be negotiated without hassle.

Requirements

Candidates must have a PhD degree not older than 4 years at the time of application, from a university outside of the Czech and Slovak Republics. In case that the PhD defense is not yet finished, the candidate must also provide an official letter certifying that his/her PhD thesis has already been submitted for defense and outlining the expected schedule of the PhD defense. Candidates with a PhD degree from a Czech or Slovak university may also be considered if they prove at least two years of post-doctoral research experience abroad.

Evaluation

All candidates are expected to be fluent in English, while prior knowledge of Czech is not required. Candidates will be evaluated on the ground of their strong international research record, and preference will be given to those whose research areas match the research directions of the Faculty of Informatics; see http://www.fi.muni.cz/research/.

Application

Applications must be submitted electronically at the attached www address - the electronic application form (only reference letters, if not given directly to the applicant, may be sent by email). The applicants should provide the following documents with their application:

An academic CV, a list of publications, and a motivation letter.
A scanned copy of the PhD diploma, or a letter certifying submission of doctoral thesis for the defense.
One external reference letter, and one support letter (expression of interest) from a member of the academic staff of the Faculty of Informatics of Masaryk University. These letters, if cannot be attached by the applicant him/herself, may be sent to the e-mail address hales@fi.muni.cz.

All interested applicants are strongly advised to informally contact their expected host research groups at the Faculty of Informatics well ahead of submitting their application.

Contact

Assoc.Prof. Ales Horak, Head of the Department of Machine Learning and Data Processing

Submission of applications: https://www.muni.cz/en/about-us/careers/vacancies/43809

E-mail (for inquiries and reference letters): hales@fi.muni.cz, subject "Postdoc 2019"
Two postdoctoral positions, University of Pittsburgh

Employer: The Computational Social Dynamic Lab, University of Pittsburgh
Title: Postdoctoral Research Associate
Speciality: computational social science, NLP, machine learning.
Location: Pittsburgh, PA, USA
Deadline: January 15, or until position filled
Date posted: December 06, 2018
Contact: Yu-Ru Lin (email: <yuruliny@gmail.com> | web: http://yurulin.com | lab: https://picsolab.github.io/)

The Computational Social Dynamic (PICSO) Lab at the University of Pittsburgh is seeking two postdoctoral research associates for a computational social science project under the mentorship of Dr. Yu-Ru Lin and Dr. Rebecca Hwa. This highly interdisciplinary project aims to advance research methodology in revealing biases of different groups or cultures by analyzing social media data with cutting-edge methods of natural language processing and machine learning. The duration of the position is for one year, with the possibility of renewal. The compensation is competitive.

We welcome candidates who hold a PhD from a related background, including computational social science, computer science, computational linguistics, social psychology, sociology, political science, and applied mathematics. Particular priorities for hiring are: (1) knowledge and experiences in distributed semantic representation, sentiment analysis, and text mining methods, ideally demonstrated by publications in established venues (ACL, EMNLP, NIPS, ICML, KDD, etc.); (2) demonstrated ability to work with social media data; (3) prior experiences with computational social sciences a plus.

For full consideration, candidates should submit the following materials electronically as a single PDF file to Dr. Yu-Ru Lin at <yuruliny@gmail.com>:

A brief statement of interest describing your relevant background
Current CV
The names and contact information for two references (letters of recommendation will be solicited from finalists)
Two publications or other writing samples

Please include "PostDoc Application 2019" in the email subject line.
Research Scientist Interns at Adobe Research, San Jose, California

Employer: Adobe Systems Incorporated
Title: Research Scientist Intern
Speciality: NLP, machine learning, dialog, and question answering.
Location: San Jose, CA, USA
Deadline: March 1, 2019
Date posted: December 06, 2018
Contact: bui@adobe.com

We are looking for Master and/or Ph.D. students with a strong background in NLP, machine learning, dialog, and/or question answering to work on our Creative Assistant project and Document Question Answering project. See our recent publications here for further details: https://sites.google.com/site/trungbuistanford/Home/publications
Assistant Professor Position at The University of Memphis

Employer: University of Memphis
Rank or Title: Assistant Professor
Specialty: ML/NLP with particular interest in educational technologies
Location: Memphis, Tennessee
Deadline: 1/7/19 but applications accepted until search completed
Date Posted: 11/28/18
Contact email: cconnor2@memphis.edu
Application link: [4]

The Department of Computer Science at the University of Memphis is seeking candidates for an Assistant Professor position beginning Fall 2019. The candidate’s research will be jointly supported by the Department of Computer Science and the Institute of Intelligent Systems (IIS). Focus area for this position include Machine Learning, Data Mining, and Big Data. Candidates whose research areas complement the language & discourse or learning focus area of the IIS are particularly encouraged to apply. Candidates from minority and underrepresented groups are highly encouraged to apply. Successful candidates are expected to develop externally sponsored interdisciplinary research programs, teach both undergraduate and graduate courses and provide academic advising to students at all levels.

Applicants should hold a PhD in Computer Science, or related discipline, and be committed to excellence in both research and teaching. Salary is highly competitive and dependent upon qualifications.

The Department of Computer Science ([5]) offers B.S., M.S., and Ph.D. programs as well as graduate certificates in Data Science and Information Assurance, and participates in an M.S. program in Bioinformatics (through the College of Arts and Sciences). The Department has been ranked 55th among CS departments with federally funded research. The Department regularly engages in large-scale multi-university collaborations across the nation. For example, CS faculty led the NIH-funded Big Data "Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K)" and the "Center for Information Assurance (CfIA)".

The Institute for Intelligent Systems consists of 54 faculty members across 14 departments including Communication Sciences and Disorders, Computer Science, Engineering, Education, Linguistics, Philosophy and Psychology. The IIS offers a graduate certificate in Cognitive Science, a minor in Cognitive Science, and is affiliated with BA and MS programs in other departments. The IIS receives $4-5 million in external awards per year from federal agencies such as NSF, IES, DoD, and NIH. Further information about the Institute for Intelligent Systems can be found at [6].

Known as America’s distribution hub, Memphis ranked as America’s 6th best city for jobs by Glassdoor in 2017. Memphis metropolitan area has a population of 1.3 million. It boasts a vibrant culture and has a pleasant climate with an average temperature of 63 degrees.

Screening of applications begins immediately. For full consideration, application materials should be received by January 7, 2019. However, applications will be accepted until the search is completed.

To apply, please visit [7]. Include a cover letter (please include a reference to this position as “CS-IIS”), curriculum vitae, statement of teaching philosophy, research statement, and three letters of recommendation. Direct all inquiries to Corinne O’Connor (cconnor2@memphis.edu).

A background check will be required for employment. The University of Memphis is an Equal Opportunity/Equal Access/Affirmative Action employer committed to achieving a diverse workforce.
Research Associate in Text Mining, University of Manchester, UK

Employer: University of Manchester
Title: Research Associate in Text Mining
Specialty: Text Mining
Location: Manchester, UK
Deadline: January 3, 2019
Date posted: November 27, 2018
Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

We invite applications for the Research Associate in Text Mining, which is tenable initially for 12 months starting as soon as possible. The post is part of the Discovering Safety Programme funded by Lloyds Register Foundation in collaboration with the Health and Safety Executive. The purpose of this project is to use a combination of text mining and machine learning methods for retrieving and organising textual information pertinent to incident and inspection reports for search and risk classification.

Post Objectives:

1. To develop a search system based on clustering methods.

2. To contribute to development of entity linking for the application.

3. To develop a classification system for risk assessment.

You should have a PhD or equivalent in Computer Science with emphasis in Text Mining and Machine Learning in particular clustering and classification. Experience in named-entity recognition, entity linking and terminology extraction will be desirable. Appropriate security clearance may be required for the successful applicant.

Salary : £32,236 - £39,609 per annum according to experienc
Hours Per week: Full Time
Contract Duration : 01 February 2019 until 31 January 2020

Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16445
Research Fellow in Natural Language Processing and Text Mining, University of Manchester, UK

Employer: University of Manchester
Title: Research Fellow in Natural Language Processing and Text Mining
Specialty: Text Mining
Location: Manchester, UK
Deadline: January 3, 2019
Date posted: November 23, 2018
Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

We invite applications for the above position to increase the University of Manchester's capacity in Natural Language Processing and Text Mining, which is available immediately for an initial 5 year period leading to an open-ended academic position.

The Research Fellow will further strengthen the research profile of the text mining research group at the University of Manchester and the National Centre for Text Mining. We are looking for an outstanding candidate that has a vision for making a significant impact on natural language processing, text mining research and its applications. The Fellow will be part of the Discovering Safety Programme project funded by Lloyds Register Foundation in collaboration with the Health and Safety Executive. This post is one of the key first posts to be appointed in the Thomas Ashton Institute for Risk and Regulatory Research.

You will join the vibrant research environment of the Text Mining research group at the School of Computer Science and will be a member of the National Centre for Text Mining which is developing cross cutting and innovative approaches for text mining applications using NLP and machine learning.

As a member of the Thomas Ashton Institute, the Fellow will join, and help establish, a multidisciplinary centre of excellence and expertise, which offers an exciting opportunity for ground breaking and excellent research to inform both government regulatory regimes and industry practice.

Salary : £40,792 to £50,132 per annum dependent upon experience
Hours Per week: Full Time
Contract Duration : Starting Immediately until 31 December 2023

Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16448
Associate Research Scientist, UKP Lab, TU Darmstadt

Employer: UKP Lab, Technische Universität Darmstadt, Germany
Title: Associate Research Scientist
Specialty: Interactive Text Analysis and Natural Language Processing Tools
Location: Darmstadt
Deadline: December 15, 2018 (or until filled)
Date posted: November 22, 2018
Contact: https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist
(PhD-level; for an initial term of two years)

to strengthen the group’s profile in the areas of Interactive Text Analysis and Natural Language Processing Tools. The UKP Lab is an internationally recognized research institute with about 35 team members. We work on various aspects of Natural Language Processing (NLP), with a rapidly developing focus on Interactive Machine Learning. Besides, we provide a range of high-quality open source software packages for interactive and automatic text analysis to research and industry communities and collaborate with both academic and industrial partners.

We ask for applications from candidates in Computer Science with a specialization in Semantic Web Technologies and either Information Retrieval or Natural Language Processing, preferably with expertise in research and development projects, and strong communication skills in English and German.

The successful applicant will work on research and development for interactive text annotation by end-users (researchers, analysts, etc.). This includes neural network-based methods for knowledge graph construction and completion, interactive sequence labeling recommender systems, or semantic information retrieval. We integrate the results in a real-life collaborative text annotation software for large-scale interactive corpus analysis.

Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP and/or ML) systems (frontend and backend), in applying NLP-related Machine Learning-based methods (e.g. learning-to-rank, clustering, etc.), experience with information retrieval systems (e.g. Lucene, Solr, ElasticSearch) and relational databases (SQL), semantic web technologies (e.g. RDF, OWL, SPARQL), and strong programming skills especially in Java. Experience with neural network architectures (e.g. knowledge-base embeddings) and demonstrable engagement in open- source projects are a strong plus.

UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research focus "Data Science” and the Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasize NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals. In 2018, Darmstadt has achieved the first place in the category Cities of the Future in a ranking of German cities.

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please apply under https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/ by December 15, 2018. The positions are open until filled. Later applications may be considered if the position is still open.
Associate Research Scientist, UKP Lab, TU Darmstadt

Employer: UKP Lab, Technische Universität Darmstadt, Germany
Title: Associate Research Scientist
Specialty: Natural language processing
Location: Darmstadt
Deadline: December 15, 2018 (or until filled)
Date posted: November 22, 2018
Contact: https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist
(PhD- or (Senior-)PostDoc level; for an initial term of two years)

The UKP Lab is an internationally recognized research institute with about 35 team members. We work on various aspects of Natural Language Processing (NLP), with an emphasis on semantic text analysis and generation, argument mining, and interactive machine learning. Besides, we have a strong profile in deep learning for NLP, construction of large-scale benchmarks, or knowledge graphs. We collaborate with a wide range of both academic and industrial partners.

We are looking for candidates in Computer Science with a specialization in Natural Language Processing, preferably with expertise in research and development projects, prior publication experience, and strong communication skills. The research topics of the position may include: NLP in low-research settings, argument mining and retrieval, multimodal content processing, privacy-enhanced NLP as well as machine learning for NLP (deep reinforcement learning, neural network architectures). The successful applicant will work on research and development as part of a team in one of the areas above. We disseminate the results in top venues of the field and as free research software and datasets. The lab offers highly attractive options for personal growth and career development at all levels of the scientific career. Upon interest, additional qualifications in teaching and project management can be acquired.

UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research focus "Data Science” and the Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasize NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals. In 2018, Darmstadt has achieved the first place in the category Cities of the Future in a ranking of German cities.

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please apply under https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/ by December 15, 2018. The positions are open until filled. Later applications may be considered if the position is still open.
Assistant Professor, Department of Linguistics and Translation, University of Montreal

Employer: Department of Linguistics and Translation, University of Montreal
Title: Assistant Professor (tenure-track)
Specialty: Computational linguistics
Location: Montreal, Canada
Deadline: December 13, 2018
Date posted: November 10, 2018
Contact: Mireille Tremblay <mireille.tremblay.4@umontreal.ca > and https://ling-trad.umontreal.ca

The Département de linguistique et de traduction is seeking applications for a full-time tenure-track position at the rank of Assistant Professor in computational linguistics/natural language processing.

Responsibilities

The appointed candidate will be expected to teach at all three levels of the curriculum, supervise graduate students, engage in ongoing research and publication, and contribute to the academic life and reputation of the University. This person will play an important role in the development of the “Computational Linguistics” branch of our curriculum and in establishing cross-disciplinary collaborations within and outside of the University.

Requirements

Ph.D. in linguistics, computer science, or a related field.
Education in both linguistics and computer science, with a strong background in core linguistics.
Demonstrated interest in using computational techniques in the study of language.
Ability to teach in at least one of the core domains of linguistics.
Excellent publication track record in computational linguistics.
University teaching experience.
Sufficient knowledge of written and spoken French.

Deadline: until December 13, 2018 inclusively

Treatment: Université de Montréal offers competitive salaries and a full range of benefits.

Starting date: On or after August 1st, 2019

Application

The application must include the following documents:

a cover letter
a curriculum vitæ
copies of recent publications and research

Three letters of recommendation are also to be sent directly to the department chair by the referees.

Application and letters of recommendation must be sent to the chair of the Département de linguistique et de traduction at the following address:

Mireille Tremblay, directrice
Département de linguistique et de traduction
Faculté des arts et des sciences
Université de Montréal
C.P. 6128, succursale Centre-ville
Montréal (QC) H3C 3J7
Canada

Application and letters of recommendation may also be sent by email at the following address: mireille.tremblay.4@umontreal.ca

For more information about the Department, please consult its website at http://ling-trad.umontreal.ca

Université de Montréal is a Québec university with an international reputation. French is the language of instruction. To renew its teaching faculty, the University is intensively recruiting the world’s best specialists. In accordance with the institution’s language policy, Université de Montréal provides support for newly-recruited faculty to attain proficiency in French.

The Université de Montréal application process allows all regular professors in the Department to have access to all documents unless the applicant explicitly states in her or his cover letter that access to the application should be limited to the selection committee. This restriction on accessibility will be lifted if the applicant is invited for an interview.

Through its Equal Access Employment Program, Université de Montréal invites women, Aboriginal people, visible and ethnical minorities, as well as persons with disabilities to apply. During the recruitment process, our selection tools will be adapted to meet the needs of people with disabilities who request it. Be assured of the confidentiality of this information.

Université de Montréal is committed to the inclusion and the diversity of its staff and also encourages people of all sexual and gender identities to apply.

We invite all qualified candidates to apply at UdeM. However, in accordance with immigration requirements in Canada, please note that priority will be given to Canadian citizens and permanent residents.

Software Engineer for Text Mining Applications at the University of Manchester

Employer: National Centre for Text Mining, School of Computer Science, University of Manchester
Title: Software Engineer
Specialty: Text Mining
Location: Manchester, UK
Deadline: November 25, 2018
Date posted: October 25, 2018
Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

Applications are invited for a Software Engineer post (full time) for a period of 5 years

The successful candidate will be part of the National Centre for Text Mining (http://www.nactem.ac.uk/) which is hosted by the School of Computer Science, joining a strong and dynamic team in text mining. The National Centre for Text Mining provides next-generation text mining services to the community. We use natural language processing techniques to build advanced search systems in a number of domains. We are seeking a self-motivated, creative and experienced software engineer (must have substantive post graduation experience) to enhance our team expertise particularly in the areas of wrapping text mining analysis workflows, software development for search engines bringing the benefits of text mining to end users, Web services, integrating text mining with knowledge bases, cloud deployment of services and advanced user interfaces.

Essential skills and experience include: Linux/unix, extensive experience of software design and development gained in a professional software development environment, experience of producing distributed solutions and of working with large datasets, Java or C++ with XML technologies, REST/SOAP Web services, knowledge of cloud/cluster computing/SaaS/PaaS, Maven.

Salary : £40,792 to £50,132 per annum dependent upon experience
Hours Per week: Full Time
Contract Duration : Starting 1 January 2019 for 5 years

Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16308

Assistant Professor, Department of Linguistics, University of Florida

Employer: Department of Linguistics, University of Florida
Title: Tenure-track Assistant Professor
Specialty: computational language science
Location: Gainesville, FL 32601
Deadline: November 18, 2018
Date posted: October 18, 2018
Contact: Stefanie Wulff <swulff@ufl.edu> and https://apply.interfolio.com/56557

The University of Florida invites applications for a tenure-track appointment in computational language science at the rank of assistant professor, effective August 16, 2019. This is a 9-month position. Applicants are expected to have a Ph.D. in linguistics, computer science, or a closely-related field. Candidates should have an active research agenda studying language from a computational perspective. Specialization is open, including but not limited to sociolinguistics, neuro/psycholinguistics, corpus linguistics, and/or language documentation. UF Linguistics seeks to train the next generation of linguists who are comfortable integrating and evaluating computational approaches in their research. To this end, ability to teach computationally-oriented courses is required. Candidates must hold the Ph.D. by the starting date.

The successful candidate will be expected to 1) maintain an active research agenda, 2) pursue external research funding, 3) teach two courses per semester at the undergraduate and/or graduate level, 4) provide service to the department, the university, and the profession, and 5) seek collaborations within the department as well as with other units on campus such as the UF Data Science and Information Technology Center, the UF Informatics Institute, or the McKnight Brain Institute.

The Department is committed to creating an environment that affirms diversity and inclusion across a variety of dimensions, including ability, class, ethnicity/race, religion and/or cultural background, gender identity and expression. We particularly welcome applicants who can contribute to such an environment through their scholarship, teaching, mentoring, and professional service. The university and greater Gainesville community enjoy a diversity of cultural events, restaurants, year-round outdoor recreational activities, and social opportunities

Salary is competitive, commensurate with qualifications and experience, and includes a full benefits package.

The Linguistics Department at the University of Florida is a vibrant and congenial unit consisting of 11 full-time faculty and 15 affiliated faculty in the departments of Anthropology; Languages, Literatures, and Cultures; Spanish and Portuguese; and the Dial Center for Written & Oral Communication. We offer a B.A., M.A. and Ph.D. in Linguistics, as well as an undergraduate minor and undergraduate certificate in TESL and a graduate certificate in Second Language Acquisition and Teaching. We have faculty expertise in a wide range of linguistic subfields, and particular strengths in the areas of bilingualism, language documentation, psycholinguistics, sociolinguistics, and African linguistics. Please see our website, lin.ufl.edu, for more information about the department.

For full consideration, applications must be submitted online at https://apply.interfolio.com/56557 and must include: (1) a brief cover letter, (2) a statement of teaching and research interests, (3) a CV, (4) 1-3 sample publications, (5) the names and email addresses for three references, and (6) representative teaching evaluations if available. After initial review, letters of recommendation will be requested for selected applicants. Review of applications will begin on 18 November 2018 and will continue until the position is filled.

All candidates for employment are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education.

The final candidate will be required to provide an official transcript to the department upon hire. A transcript will not be considered "official" if a designation of "Issued to Student" is visible. Degrees earned from an educational institution outside of the United States require evaluation by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/.

The University of Florida is an Equal Opportunity Employer dedicated to building a broadly diverse and inclusive faculty and staff. The University of Florida invites all qualified applicants, including minorities, women, veterans, and individuals with disabilities to apply. The University of Florida is a public institution and subject to all requirements under Florida Sunshine and Public Record laws.
Postdoctoral Researcher, Cognitive AI Lab, University of Arizona

Employer: School of Information, University of Arizona
Title: Postdoctoral Research Associate
Specialty: natural language processing
Location: Tucson, AZ, USA
Deadline: Open until filled
Date posted: October 15, 2018
Contact: Peter Jansen <pajansen@email.arizona.edu>

Postdoctoral Research Associate I
https://uacareers.com/postings/31213

Position Summary
The Cognitive Artificial Intelligence Laboratory ( http://www.cognitiveai.org ) in the School of Information at the University of Arizona invites applications for a Postdoctoral Research Associate for projects specializing in natural language processing and explanation-centered inference.

Natural language processing systems are steadily increasing performance on inference tasks like question answering, but few systems are able to provide explanations describing why their answers are correct. These explanations are critical in domains like science or medicine, where user trust is paramount and the cost of making errors is high. Our work has shown that one of the main barriers to increasing inference and explanation capability is the ability to combine information – for example, elementary science questions generally require combining between 6 and 12 different facts to answer and explain, but state-of-the-art systems generally struggle integrating more than two facts together. The successful candidate will combine novel methods in data collection, annotation, representation, and algorithmic development to exceed this limitation in combining information, and apply these methods to answering and explaining science questions.

A talk on our recent work in this area is available here: https://www.youtube.com/watch?v=EneqL2sr6cQ

Minimum Qualifications

A Ph.D. in Computer Science, Information Science, Computational Linguistics, or a related field.
Demonstrated interest in natural language processing or machine learning techniques.
Excellent verbal and written communication skills

Duties and Responsibilities

Engage in innovative natural language processing research
Write and publish scientific articles describing methods and findings in high-quality venues (e.g. ACL, EMNLP, NAACL, etc.)
Assist in mentoring graduate and undergraduate students, and the management of ongoing projects
Support writing grant proposals for external funding opportunities
Serve as a collaborative member of a team of interdisciplinary researchers

Preferred Qualifications

Knowledge of computational approaches to semantic knowledge representation, graph-based inference, and/or rule-based systems
Strong scholarly writing skills and publication record

Full Posting/To Apply
https://uacareers.com/postings/31213
Temporary lecturer, Department of Linguistics, University of California, Santa Barbara

Employer: Department of Linguistics, University of California, Santa Barbara
Title: Lecturer
Specialty: computational linguistics and/or natural language processing and general linguistics
Location: Santa Barbara, CA 93106
Deadline: October 24, 2018
Date posted: September 27, 2018
Contact: https://recruit.ap.ucsb.edu/apply/JPF01317

The Department of Linguistics at the University of California, Santa Barbara invites applications for a qualified temporary Lecturer to teach course(s) in computational linguistics and potentially general linguistics. To learn more about the department, see: http://www.linguistics.ucsb.edu/

The Lecturer will teach an advanced undergraduate course in computational linguistics in the Winter 2019 or Spring 2019 quarter. The successful candidate may also have the opportunity to teach other courses that support the department’s undergraduate programs, including classes currently listed in the UCSB general catalog and/or special-topic courses proposed by the applicant; these courses may be offered in Winter 2019 or Spring 2019.

Applicants must possess a Master’s Degree in Linguistics and have at least one year teaching college-level linguistics courses. A Ph.D. in Linguistics is preferred but not required. The department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.

To apply, please go to the following link: https://recruit.ap.ucsb.edu/apply/JPF01317. Applicants should submit a curriculum vitae and a cover letter stating their qualifications for teaching computational linguistics as well as any additional courses they may be interested in teaching. Applicants should also provide contact information for three references. To ensure full consideration, all application materials should be received by 10/24/18; however, the position is open until filled.

The University of California is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Assistant Professor, Department of Linguistics, University of California, Santa Barbara

Employer: Department of Linguistics, University of California, Santa Barbara
Title: Assistant Professor
Specialty: computational linguistics and/or natural language processing
Location: Santa Barbara, CA 93106
Deadline: November 9, 2018
Date posted: September 27, 2018
Contact: https://recruit.ap.ucsb.edu/apply/JPF01310 and complingsearch@linguistics.ucsb.edu

The Linguistics Department of the University of California, Santa Barbara seeks to hire a linguist who is a specialist in computational linguistics and/or natural language processing. The appointment will be a tenure-track position at the Assistant Professor level, effective July 1, 2019.

The successful candidate will have an active research program in computational linguistics and/or natural language processing and will have a record of participation in the computational linguistics/NLP community. Proven expertise in machine learning including word embeddings/vector space semantics is required, as is expertise in using computational linguistics methods to address theoretical and/or applied questions. Capacity to engage with the distinctive theoretical orientation of the department is expected. We welcome applicants with the ability to contribute to departmental foci, such as corpus linguistics, language and cognition, language acquisition, and/or less studied languages. We also encourage applicants who have the potential to interact with colleagues and students across disciplinary boundaries at UCSB.

The successful candidate will demonstrate commitment to and ability in graduate and undergraduate teaching and will be expected to teach a range of graduate and undergraduate courses in computational linguistics, including those with relevance to industry, as well as to contribute to the department’s undergraduate major with an emphasis in Language and Speech Technologies. For more information on the department, see www.linguistics.ucsb.edu.

The minimum requirement to be considered as an applicant is the completion of all requirements for a Ph.D. in linguistics or a closely-related field except the dissertation (or equivalent) at the time of application. A Ph.D. in linguistics or a closely-related field is expected by the time of appointment. Review of applications will begin after Friday, November 9, 2018. The position will remain open until filled.

Applicants must complete the online form at https://recruit.ap.ucsb.edu/apply/JPF01310 and must submit online the following in PDF format: letter of application, statement of research interests, teaching statement, curriculum vitae, and 2 writing samples. Applicants are also encouraged to submit an optional statement on contributions to diversity.

Applicants should request 3-5 letters of reference to be sent directly to https://recruit.ap.ucsb.edu/reference. Inquiries may be addressed to the Search Committee at complingsearch@linguistics.ucsb.edu. Initial screening of selected applicants will be conducted via Zoom. Our department has a genuine commitment to diversity, and is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.

The University of California is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Postdoctoral Fellow, Quantitative Criticism Lab, University of Texas at Austin

Employer: Quantitative Criticism Lab, University of Texas at Austin
Title: Postdoctoral Fellow
Specialty: Digital humanities and natural language processing
Location: Austin, TX or remote
Deadline: October 15, 2018
Date posted: September 7, 2018
Contact: https://www.nature.com/naturejobs/science/jobs/652327-postdoctoral-fellow

The Quantitative Criticism Lab (QCL; https://www.qcrit.org), a research group developing cross-disciplinary approaches to the study of literature and culture, invites applications for a full-time postdoctoral fellowship. The duration of the fellowship is 18 months, from January 2, 2019 to June 30, 2020. The field of specialization is open, but expertise in computer programming and statistical analysis is essential, as is a deep interest in the study of literature. QCL’s physical lab space is based at The University of Texas at Austin; residence in Austin during the fellowship period is preferred but not required. The fellow will have no teaching responsibilities. The position is funded by a Digital Extension Grant from the American Council of Learned Societies (ACLS).

The ACLS-funded project will produce a web-based suite of tools for traditionally-trained humanists to analyze literary texts in a quantitative manner. The tools are designed with an important class of literary problems in mind, exemplified by the identification of verbal parallels and, at a larger scale, by the individuating of entire works within generic traditions. We take two main approaches: sequence alignment for the detection of verbal resemblance, and stylometry augmented by machine learning for the profiling of texts and corpora. The tools are expected both to enhance traditional modes of literary criticism and to enable novel quantitative analyses of the cultural evolution of literature.

The postdoctoral fellow’s primary responsibilities will be to lead development of these tools and to participate in other aspects of QCL’s research program according to background and interests. The work will involve coding, research design, data analysis, literary criticism, and scholarly writing for diverse venues, as well as various organizational duties related to workshops and conferences. The postdoctoral fellow will work under the supervision of Pramit Chaudhuri (UT Austin) and Joseph Dexter (Dartmouth College), the co-directors of QCL, and will collaborate with a diverse array of scholars, in both academia and industry, affiliated with QCL. In addition, the fellow will be expected to play a major role in mentoring the numerous graduate, undergraduate, and high school students who conduct research with QCL.

A Ph.D. in a computational, statistical, linguistic, or literary field is required. Possible disciplines include (but are not limited to) anthropology, applied mathematics, bioinformatics, classics, comparative literature, computer science, English, evolutionary biology, linguistics, and statistics. Prior experience with any of the following areas is highly desirable but not required: computational linguistics, cultural evolution, digital humanities, literary criticism of a premodern or non-Anglophone tradition (especially Latin or Ancient Greek), machine learning, and natural language processing. By the start date of the position, applicants should either have the Ph.D. in hand or be able to provide certification from their home institution that all degree requirements have been fulfilled. Applicants must have received the Ph.D. within the last three years.

For full consideration, applicants should submit the following materials by October 15, 2018:

CV;
Cover letter;
Short (2-4 page) summary of past and current research interests, giving particular attention to any computational work;
Writing sample of no more than 40 pages (e.g., article or dissertation chapter).

In addition, applicants should arrange to have three letters of recommendation forwarded by the deadline. Please submit your CV and cover letter on the UT Jobs website: https://utdirect.utexas.edu/apps/hr/jobs/nlogon/180823010712. Please submit the additional materials via email to vnoya@austin.utexas.edu. Questions can be directed to Vanessa Noya at the same address.

The salary will be $48,000 per year, plus benefits.

The successful candidate must be able to begin work in this position by January 2, 2019.

A criminal history background check will be required for finalist(s) under consideration for this position.

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

If hired, you will be required to complete the federal Employment Eligibility Verification form, I-9. You will be required to present acceptable, original documents (https://hr.utexas.edu/current/services/employment-eligibility-verification-i9-docs) to prove your identity and authorization to work in the United States. Information from the documents will be submitted to the federal E-Verify system for verification. Documents must be presented no later than the third day of employment. Failure to do so will result in dismissal.

UT Austin is a Tobacco-free Campus (http://tobaccofree.utexas.edu/).
Associate Research Scientist, UKP Lab, TU Darmstadt

Employer: UKP Lab, Technische Universität Darmstadt, Germany
Title: Associate Research Scientist
Specialty: Natural language processing
Location: Darmstadt
Deadline: September 30, 2018 (or until filled)
Date posted: September 6, 2018
Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist
(PostDoc- or PhD-level; for an initial term of two years)

This position should further strengthen and develop the profile of the lab in natural language processing (NLP) and related topics such as machine learning, multimodal content analysis, information retrieval, or novel applications of NLP to social sciences and humanities.

Possible areas of research include, but are not limited to:

interactive clustering and machine learning to extract sets of textual snippets according to multiple criteria, e.g. high-quality and diverse examples illustrating a lexical entry’s usage;
NLP for low-resource languages, e.g. analyzing discourse-level argumentation in Georgian;
interactive sequence labeling to support claim validation by experts, e.g. for extracting evidence from corpora;
joint text and image processing for content classification in social media, e.g. identifying bias;
analyzing and generating creative language, such as humor, metaphor, or other rhetorical means.

The lab has a strong profile in the above areas, which features robust semantic analysis and textual inference, multimodal content analysis and summarization, and applications of NLP including novel benchmarks and problem definitions. It currently develops a new focus on interactive machine learning and chatbots and conversational agents. The lab closely cooperates with machine learning, computer vision, and data management groups of the Computer Science department. It has a strong industrial network and works together with social sciences and humanities on real-life research problems.

We are looking to attract highly qualified candidates with an outstanding degree in NLP, machine learning, or a related field of Computer Science. The candidates should preferably have research and teaching experience and strong communication skills in English and German (optional). Together with the candidate, we work out an individual career development plan and identify the relevant opportunities for the professional and personal growth within the activities of the lab.

The research environment is excellent. The Department of Computer Science of the TU Darmstadt is regularly one of the top ranked ones among the German universities. Its unique Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG and the BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasize NLP, machine learning and text mining. UKP Lab is a very dynamic research group committed to high-profile research, cooperative work style and close interaction of team members.

Applications should include a detailed CV, a motivation letter, an outline of previous working or research experience and the names of ideally three referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by September 30th, 2018: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The position is open until filled.
Tenure-track and tenure-eligible investigators at the National Library of Medicine, Bethesda, Maryland

Employer: National Library of Medicine
Title: Tenure-track and tenure-eligible investigators
Specialty: Natural Language Processing
Location: Bethesda, MD, USA
Deadline: Applications will be accepted until the position is filled.
Date posted: August 15, 2018
Contact: Dr. Andy Baxevanis, the Search Chair, <andy@mail.nih.gov>

The National Library of Medicine is currently recruiting for both tenure-track and tenure-eligible investigators in data science, biomedical informatics, and computational biology. Individuals with significant experience in the use of statistical, machine learning, optimization and advanced mathematical methodologies as applied to biomedical and health science are encouraged to apply. Additional details are available by following the links below.

https://www.nlm.nih.gov/careers/jobopenings.html https://www.nlm.nih.gov/careers/jobopening_ncbi_01_20180813.html https://www.nlm.nih.gov/careers/jobopening_ncbi_02_20180813.html

Question-Answering Research Internship at Adobe Research, San Jose, California

Employer: Adobe Research
Title: Research Scientist Intern
Speciality: Question-answering
Location: San Jose, CA, USA
Deadline: Applications will be accepted until the position is filled.
Date posted: July 3, 2018
Contact: Franck Dernoncourt <dernonco@adobe.com>

We are looking for a PhD student with background in question-answering for a late summer or autumn, ~13-week internship (starting date and length are flexible). We strongly encourage our interns to publish their work to NLP/ML conferences/journals, and as a result we prefer candidates with a strong publication record. International PhD students are welcome to apply. Highly competitive salary. To apply, please send me an email with your CV (e.g., PDF or LinkedIn) as well as the list of your publications (e.g., PDF or link to your Google Scholar profile).
Postdoctoral position in natural language understanding, KU Leuven, Belgium

Employer: KU Leuven, Belgium
Title: Postdoctoral researcher
Specialty: Natural language understanding, machine learning
Location: Leuven, Belgium
Deadline: July 31, 2018
Date posted: June 18, 2018
Contact: sien.moens@cs.kuleuven.be

We offer a two-year postdoctoral position (extendable to four years) funded by the ERC (European Research Council) Advanced Grant CALCULUS “Commonsense and Anticipation enriched Learning of Continuous representations sUpporting Language UnderStanding” (http://calculus-project.eu). The principal investigator is Prof. Sien Moens. CALCULUS focuses on learning effective anticipatory representations of events and their narrative structures that are trained on language and visual data. The machine learning methods on which CALCULUS will build belong to the family of latent variable models where it will rely on Bayesian probabilistic models and neural networks as starting points. CALCULUS focuses on settings with limited training data that are manually annotated and especially aims at developing novel machine learning paradigms for natural language understanding. CALCULUS also evaluates the inference potential of the anticipatory representations in situations not seen in the training data and for inferring spatial, temporal and causal information in metric real world spaces. The best models for language understanding will be integrated in a demonstrator that translates language to events happening in a 3-D virtual world.

The successful candidate will have an opportunity to work on innovative natural language understanding research such as grounding language meaning into visual perception and translating narrative language into visual events. He or she will be given the opportunity for personal development beyond research, for example by contributing to teaching (e.g., at the undergraduate and graduate levels). For an outstanding candidate there is the potential to grow into an assistant professorship.

Responsibilities

Perform own research in language understanding and novel machine learning paradigms in the frame of the CALCULUS project.
Carry out some teaching duties, which may include lectures/exercise sessions, the organisation of student seminars, and the supervision of bachelor and master theses.
Help in the supervision of PhD researchers of the CALCULUS team.

Prerequisites

You have (or are near completion of) a PhD in Computer Science (or a related field).
You have a motivated interest in fundamental research in language understanding and machine learning.
You are not afraid of creative and original ideas and solutions.
You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in relevant journals with high impact factor.
You are good at collaborating with and leading others.
You work proactively and independently and have good communication skills.
You have a very good knowledge of English, both spoken and written.
You are highly motivated, ambitious and result-oriented.

Offer

We offer a 2 x 2-year postdoctoral position, starting in September 2018 (negotiable).
We offer a competitive wage and yearly budget to attend conferences and for short research stays.

Interested If interested, send your CV including publication list, motivation letter and two recommendation letters by e-mail to Prof. dr. Sien Moens (sien.moens@cs.kuleuven.be) as soon as possible and the latest by July 31, 2018. For more information please contact Prof. dr. Sien Moens: tel.: +32 16 32 53 83. Excellent candidates will be invited for an interview (possibly via Skype).

The research team

The Language Intelligence & Information Retrieval (LIIR) lab (https://liir.cs.kuleuven.be) of KU Leuven, Belgium is part of the Human Computer Interaction (HCI) unit in the Department of Computer Science. The members of the lab are especially interested in natural language processing and understanding, multimedia mining, machine learning and information retrieval. They study well-informed theoretical models as well as challenging applications, often empowered by big data sets. They investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. LIIR has a special interest in statistical multimodal representation learning where we explore the complementarity of language and visual data. The developed technologies are, among others, applied in the domains of bioinformatics, business intelligence, e-commerce analytics, electronic message filtering, news search and mining, user generated content mining, and World Wide Web mining and search, and contribute to the field of data science in these areas. Through its collaborations LIIR connects to other disciplines including speech processing, computer vision, data mining, artificial intelligence, cognitive science, and human-computer interaction.

The university

KU Leuven is situated in a historic university town close to Brussels, the capital of Europe. It features an excellent Computer Science department providing a stimulating research environment. All programmes at this university are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!
Postdoctoral position in multilingual text mining, KU Leuven, Belgium

Employer: KU Leuven, Belgium
Title: Postdoctoral researcher
Specialty: Text mining, machine learning
Location: Leuven, Belgium
Deadline: July 31, 2018
Date posted: June 18, 2018
Contact: sien.moens@cs.kuleuven.be

We offer a two-year postdoctoral position funded by the EU ITEA3 project PAPUD "Profiling and Analysis Platform Using Deep Learning” (https://itea3.org/project/papud.html). The principal investigator is Prof. Sien Moens. The scope of the project is to build a universal model for data analytics using deep learning in order to help today’s businesses to make sense out of data. The postdoctoral position focuses on multilingual text mining and more specifically on interlingual content representations and methods of transfer learning with applications in multilingual topic modelling, content classification (e.g., opinion and argumentation mining) and question answering. The candidate will perform cutting-edge artificial intelligence research in the context of a European consortium composed of renowned academic and industrial partners.

Responsibilities

Design and develop machine learning methods for multilingual text mining.
Carry out some teaching duties, which may include lectures/exercise sessions, the organization of student seminars, and the supervision of bachelor or master theses.

Prerequisites

You have (or are near completion of) a PhD in Computer Science (or a related field).
You have a motivated interest in and knowledge of text mining and machine learning, including probabilistic graphical models and deep learning.
You have a solid track record of publications in relevant international peer-reviewed A ranked conferences and journals.
You have a profound interest in collaborating with the industry on applications of text mining and willing to contribute to a deep learning text analytics platform.
You have a very good knowledge of English, both spoken and written.
You are highly motivated, ambitious and result-oriented.

Offer

We offer a two-year postdoctoral position, starting in September 2018 (negotiable).
We offer a competitive wage and yearly budget to attend conferences.

Interested

If interested, send your CV including publication list, motivation letter and two recommendation letters by e-mail to Prof. dr. Sien Moens (sien.moens@cs.kuleuven.be) as soon as possible and the latest by July 31, 2018. For more information please contact Prof. dr. Sien Moens: tel.: +32 16 32 53 83. Excellent candidates will be invited for an interview (possibly via Skype).

The research team

The Language Intelligence & Information Retrieval (LIIR) lab (https://liir.cs.kuleuven.be) of KU Leuven, Belgium is part of the Human Computer Interaction (HCI) unit in the Department of Computer Science. The members of the lab are especially interested in natural language processing and understanding, multimedia mining, machine learning and information retrieval. They study well-informed theoretical models as well as challenging applications, often empowered by big data sets. They investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. LIIR has a special interest in statistical multimodal representation learning where we explore the complementarity of language and visual data. The developed technologies are, among others, applied in the domains of bioinformatics, business intelligence, e-commerce analytics, electronic message filtering, news search and mining, user generated content mining, and World Wide Web mining and search, and contribute to the field of data science in these areas. Through its collaborations LIIR connects to other disciplines including speech processing, computer vision, data mining, artificial intelligence, cognitive science, and human-computer interaction.

The university

KU Leuven is situated in a historic university town close to Brussels, the capital of Europe. It features an excellent Computer Science department providing a stimulating research environment. All programmes at this university are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!
PhD positions in DFG Graduate School AIPHES, TU Darmstadt

Employer: DFG Graduate School AIPHES, Technische Universität Darmstadt, Germany
Title: Doctoral researcher
Specialty: deep learning, summarization
Location: Darmstadt
Deadline: June 27, 2018
Date posted: June 18, 2018
Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The Research Training Group “Adaptive Information Preparation from Heterogeneous Sources” (AIPHES), which has been established in 2015 at Technische Universität Darmstadt and at Ruprecht Karls University Heidelberg is filling two positions for three years, starting as soon as possible, located in Darmstadt and associated with UKP Lab (Prof. Iryna Gurevych). Positions remain open until filled. The positions provide the opportunity to obtain a doctoral degree with an emphasis in natural language processing tasks such as structured summaries of complex contents, abstractive summarization, or a related area. Applicants should be willing to work on cross-lingual, cross-modality and domain-independent methods. Prior experience in transfer learning, multi-task learning, adversarial learning, deep reinforcement learning or related methods is a plus.

The goal of AIPHES is to conduct innovative research in knowledge acquisition on the Web in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, computer vision, and data and information management will be developed. AIPHES investigates a novel, complex scenario for information preparation from heterogeneous sources. It interacts closely with end users who prepare textual documents in an online editorial office, and who should therefore benefit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.

AIPHES emphasizes close contact between the students and their advisors with regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. Participating research groups at Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Claudia Schulz), Machine Learning (Prof. Kersting), Visual Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at Ruprecht Karls University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of the Heidelberg Institute for Theoretical Studies (HITS). AIPHES strives to publish its results at leading scientific conferences and is actively supporting its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.

Prerequisites

We are looking for exceptionally qualified candidates with a degree in Computer Science, Machine Learning, NLP, or a related study program. We expect the ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Prior experience in scientific work is a plus. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

The research environment is excellent. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. UKP Lab is a highly dynamic research group committed to top-level conferences, technologies of the highest standards, cooperative work style and close interaction of team members. Its BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasizes NLP, machine learning and text mining. The large-scale argument mining project allows searching large document collections in response to a user-defined topic: neural networks determine relevant pro and con arguments in real-time, and represent them in a concise summary.

Applications should include a motivational letter that refers to one of the planned research areas of AIPHES, a CV with information about the applicant’s scientific work, certifications of study and work experience, as well as a thesis or other publications in electronic form. Application materials must be submitted via the following form by June, 27th, 2018:

https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/

In addition, applicants should be prepared to solve a programming and a reviewing task in the first two weeks after their application.
Postdoc position: Bocconi University, Milan

Employer: Bocconi University
Title: Postdoctoral Researcher
Location: Milan, Italy
Deadline: June 22nd, 2018, 5 p.m.  
Starting date: as early as possible, but no later than September 2018
Duration: 1 year  
Date Posted: June 18, 2018
Contact: Paola Cillo (paola.cillo@unibocconi.it)
URL: https://bit.ly/2JW2tKZ (select the Gucci Lab call)

Gucci Research Lab (GRL) is a unique partnership between Bocconi University and Gucci to identify and study the trends that define the way in which organizations are evolving. This position is part of a larger project by the Gucci Lab at Bocconi on the effects of a change in a firm’s leadership positions on the firm’s culture and its performance. Part of the project involves the textual analysis of internal documents (e.g., emails), before and after the leadership change. To provide an example, textual analysis of these documents will be conducted to identify power relationships within the organization and study how they evolved over time.

REQUIREMENTS/QUALIFICATIONS  

The successful candidate will work actively on novel directions in deep learning, multi-task learning, and neural networks.  The candidate is expected to have:

a Ph.D. or equivalent in Computer Science, Computational Linguistics/NLP, Mathematics or related fields.
Good programming skills in Python.
Fluent English. Knowledge of other languages is more than welcome.  Knowledge of Italian is NOT a requirement.
Knowledge of current neural network models, especially Word2Vec and Doc2Vec, and tools for neural networks (e.g. Tensorflow, Keras, PyTorch, etc.).
Publications in top-tier venues in the field of Computational Linguistics.
Experience in Ph.D. student supervision is a plus.
Salary: 43,310.50 euros per annum

HOW TO APPLY  

The application must be sent to Faculty and Research Division of Bocconi University (addressing the Rector) just via email at recruiting_ricerca@unibocconi.it You can find more information about the project and call here: https://bit.ly/2t1DnAO
Postdocs: Johns Hopkins University

Employer: Johns Hopkins University
Title: Postdoctoral Researcher
Location: Baltimore, MD
Deadline: Applications will be accepted until positions are filled
Date Posted: June 6, 2018
Contact: clspsearch@clsp.jhu.edu
URL: https://www.clsp.jhu.edu/employment-opportunities/

The Center for Language and Speech Processing (CLSP) at the Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech, natural language processing and machine learning. Applicants must have a Ph.D. in a relevant discipline and a strong research record.

The center has a number of postdoctoral positions available. A single application will be considered for all open positions (except for one position as noted below). You need not indicate a specific position, but you may include a strong preference in an optional cover letter.

Example topics include:

Cross-lingual Information Retrieval
Trend Detection in Social Media
Social Media and Mental Health
Analysis of Clinical Medical Text
Broadly Multilingual Learning of Morphology and Low-Resource Machine Translation
NLP and Machine Learning for Clinical Data Analysis

Johns Hopkins University is a private university located in Baltimore, Maryland. The campus provides easy access to a number of affordable and vibrant neighborhoods and waterfront dining options. Hopkins is also connected to Washington DC (40 mins), Philadelphia (1.5 hours) and New York city (2.5 hours) via direct trains and buses.

CLSP is one of the world’s largest academic centers focused on speech and language. CLSP is home to a dozen faculty members, half a dozen postdocs, and over 60 graduate students. It has a history of placing students in top academic and industry positions, with a large network of alumni at Google, Amazon, Microsoft Research, Bloomberg, IBM Research, Facebook, Twitter, Nuance, BBN, and numerous startups.

Applicants are not required to be to US citizens or permanent residents.

Questions about specific projects should be directed to the contact information associated with the project. General inquiries may be sent to clspsearch@clsp.jhu.edu.

Details and application information: http://www.clsp.jhu.edu/employment-opportunities/

Research Fellow in Software Engineering with a Focus on Natural Language Processing at University of Tartu, Estonia

Employer: University of Tartu, Institute of Computer Science, Software Engineering group
Title: Research Fellow
Speciality: Software engineering, machine learning, natural language processing
Location: Tartu, Estonia
Deadline: June 4, 2018
Date posted: May 21, 2018
Contact: Dietmar Pfahl, Kairit Sirts (<firstname>.<lastname>@ut.ee)

Postdoctoral position
Applications are invited for a position of Research Fellow at the Software Engineering and Information Systems Research Group, Institute of Computer Science, University of Tartu. The institute is the leading Computer Science department in the Baltics and is one of the top-2 in Central and Eastern European universities according to the field-specific Times Higher Education Ranking 2017. The Software Engineering and Information Systems group conducts research in the fields of data-driven software engineering decision support, business process management, and secure information systems design. The group is composed of 25 members, including 12 PhD students. The group places a strong emphasis on research excellence and quality of its research publications. The institute has strong ties with the local industry and manages a portfolio of half a dozen research projects in cooperation with industry partners.

The successful candidate will conduct research in the field of data-driven software engineering decision support, within a team that brings together researchers specialized in software analytics, software evolution, software quality assurance, agile development methods, data mining and natural language processing. The research fellow will be expected to contribute to ongoing research projects which aim at exploiting advanced data science methods in one or more of the following application domains:

open innovation,
energy-efficient software development,
software testing.

The research to be conducted is interdisciplinary. In particular, we will be closely collaborating with the natural-language processing group to leverage their expertise on analyzing unstructured data.

Requirements
Candidates must have a PhD in Computer Science or a related discipline. Expertise in at least one of the following topics is essential: software testing, static code analysis, software evolution/maintenance, machine learning. Experience in developing research prototypes and working in collaborative research projects is desirable. The position is not term-limited. Funding is already secured for the first two years of the appointment. The continuation of the position after the first two years will depend on further funding. Remuneration will be up to 2400 euros/month. Estonia applies a flat income tax of 20% on salaries and provides public health insurance for employees.

The expected start date is 1 September 2018, but a later start date can be negotiated.

The deadline for applications is 4 June 2018. The application procedure is outlined in the official advertisement at the University's website.
Postdoctoral research positions in cybersecurity, natural language processing, and experimental social psychology at SUNY Albany

Employer: University at Albany, Research Foundation of the State University of New York, ILS Institute
Title: Postdoctoral researcher
Speciality: Cybersecurity, natural language processing, machine learning, experimental design
Location: Albany, New York, USA
Deadline: July 31, 2018
Date posted: May 18, 2018
Contact: Tomek Strzalkowski (tomek {at} albany.edu)

Postdoctoral positions

The Personalized AutoNomous Agents Countering Social Engineering Attacks (PANACEA) Project. The PANACEA Project is a joint effort of communication and computer science faculty at the University at Albany, SUNY, as well as researchers at other institutions. The project aims to design, develop, and evaluate an automated system that will protect online users against current and future forms of social engineering attacks. The system will serve as an intermediary between attackers (human, automated, hybrid, coordinated) and the potential victims they target by addressing and eliminating human vulnerabilities in current cyber defense capabilities. The objectives of the project include detection and classification of social engineering attacks as well as active defenses, including engaging and identifying of the attackers.
The Computational Ethnography from Metaphors and Polarized Language (COMETH) Project. The COMETH project is a joint effort of computer science and psychology faculty at the University at Albany. The project aims to develop and validate novel computational methodology for automatically acquiring cultural models that represent the worldviews of communities and subcultures operating within the larger society. These models will be obtained using advanced natural language processing and machine learning techniques on data from online media outlets produced by different communities. The objectives of this research include (a) capturing prevalent community attitudes (sentiment and beliefs) toward key concepts such as government, rights, economic inequality, etc.; (b) showing how these attitudes evolve over time, including in response to external influences (e.g., national or international events); and (c) explaining how this system of attitudes acts like an interpretive and defensive tool by allowing the community to reject or distort incoming information.

Requirements for the PANACEA position
For the PANACEA project, we seek a postdoctoral researcher to join our interdisciplinary team. The candidate must have a Ph.D. in Computer Science from an accredited college or university that was granted within the last 3 years, and evidence of advanced scholarly research in a relevant field. This position starts September 1, 2018.

The candidates are expected to have the following skills: in-depth knowledge of current issues and methods in cybersecurity, natural language processing, socio-behavioral computing, human-computer dialogue, statistical methods of data analysis, and machine learning. Familiarity with empirical method of data collection and model validation is preferred. Programming expertise is essential including substantial experience with Java, Python, and C++ programming environment, as well as with Windows, Linux and Unix platforms. Linguistic background and familiarity with methods of conversational analysis is a plus.

Requirements for the COMETH positions
For the COMETH project, we seek two postdoctoral researchers: one in computer science and one in psychology. The candidates must have a Ph.D. in Computer Science or Psychology from an accredited college or university that was granted within the last 3 years, and evidence of advanced scholarly research in a relevant field. These positions start December 1, 2018.

The computer science candidates are expected to have the following skills: in-depth knowledge of current issues and methods in natural language processing, data science, domain modeling, socio-behavioral computing, statistical methods, and machine learning. Familiarity with empirical method of data collection and model validation is preferred. Programming expertise is essential including substantial experience with Java, Python, and C++ programming environment, as well as with Windows, Linux and Unix platforms. Linguistic background and familiarity with sentiment analysis and metaphor extraction is a plus.
The psychology candidates are expected to have following skills: substantial experience with experimental design and advanced statistical methods in experimental social psychology, and knowledge of political psychology. Experience with open science and pre-registration of research protocols will be beneficial.

Overall Requirements

For all postdoctoral researchers: duties include advanced research and development under the direction of the project faculty, report preparation and coordination of work of graduate student assistants. Ability to execute substantial tasks within large projects in timely fashion is essential. Candidates must also address in their applications, their ability to work with a culturally diverse population.

The postdoctoral researcher appointment review will begin immediately and will close once filled. The successful candidates will be located in the Institute for Informatics, Logics, and Security Studies at the University at Albany, SUNY. The appointment is for 40 hours a week, initially for 12 to 18 months, and potentially extendible for up to 48 months, depending on the project. Expected start dates are September 1, 2018 and December 1, 2018, pending funding approval from the Federal Government sponsor. The salary is commensurate with experience.

How to Apply

Interested individuals should direct inquiries and submit a cover letter, resume, and three letters of reference to: Prof. Tomek Strzalkowski, Director ILS Institute, University at Albany, tomek {at} albany.edu
Two PhD positions in deep learning for natural language understanding and summarisation at Idiap, Switzerland

Employer: Idiap Research Institute, Natural Language Understanding group
Title: Two PhD positions
Speciality: Natural Language Understanding, Summarisation, Machine Learning
Location: Martigny, Switzerland
Deadline: May 31, 2018
Date posted: April 30, 2018
Contact: James Henderson (james.henderson@idiap.ch)

Two PhD positions

The Idiap Research Institute seeks qualified candidates for two PhD student position in the field of natural language understanding, developing deep learning methods for textual entailment and opinion summarisation.

The research will be conducted in the framework of the Swiss NSF funded project Learning Representations of Abstraction for Opinion Summarisation. One of the successful candidates will investigate modelling abstraction relationships between texts (textual entailment), and the other will investigate summarising large collections of opinions (opinion summarisation). Opinion summarisation must abstract away from the details of individual opinions to find consensus statements which are entailed by a significant proportion of opinions.

This project will model these natural language understanding tasks through fundamental advances in representation learning and deep learning architectures. The work will start from Dr. Henderson's work on modelling abstraction in deep learning architectures, where learned vectors represent entailment rather than the usual similarity. Successes in the unsupervised learning of word vectors for entailment will be extended to deep learning architectures for the compositional semantics of texts. Methods for finding the intersection of information in vectors will be extended to clustering texts by their shared content and generating abstract summaries.

The ideal PhD candidate should hold a Master degree in computer science, computational linguistics or related fields. She or he should have a background in machine learning, optimisation, or natural language processing. The applicant should also have strong programming skills.

The successful PhD candidates will join the Natural Language Understanding group at Idiap, under the supervision of Dr. James Henderson. They will also become doctoral students at EPFL conditional on parallel application to, and acceptance by, the EPFL Doctoral School. Appointment for the PhD position is for a maximum of 4 years, provided successful progress, and should lead to a dissertation. Annual gross salary ranges from 47,000 Swiss Francs (first year) to 50,000 Swiss Francs (last year). Starting date is to be negotiated, within 2018. All queries related to the advertised position can be sent to Dr. James Henderson (james.henderson@idiap.ch).

Please apply online here: http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710241%27%7D

Idiap

Idiap is an independent, not-for-profit, research institute funded by the Swiss Federal Government, the State of Valais, and the City of Martigny. It is located in a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and offering exceptional quality of life, exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. It is within close proximity to Lausanne and Geneva. Idiap is an equal opportunity employer and is actively involved in the "Advancement of Women in Science" European initiative.

2 postdoctoral research positions in text mining and natural language understanding at KU Leuven, Belgium

Employer: KU Leuven, Department of Computer Science, Language Intelligence and Information Retrieval lab
Title: Postdoctoral researcher
Speciality: Text mining, natural language understanding, machine learning
Location: Leuven, Belgium
Deadline: May 21, 2018
Date posted: April 23, 2018
Contact: Sien Moens (sien.moens {at} cs.kuleuven.be)

Postdoctoral positions

Postdoctoral position on the topic of multilingual text mining. The goal is to build interlingual representations that allow multilingual topic modelling, content classification (e.g., opinion and argumentation mining) and question answering. This postdoctoral position will be funded by the EU ITEA3 grant PAPUD and offers a contract for two years. The position will start as soon as possible.
Postdoctoral position on the topic of multimodal representation learning. The goal is to learn continuous representations that represent language grounded in visual perception (static images and video), assist in the design of novel machine learning architectures, and investigate suitable data structures for real-time search of the representations. This postdoctoral position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS and offers a contract for two years (with the possibility of renewal for another two years). The position will start September 1, 2018.

Requirements

PhD in computer science or equivalent.
Motivated interest in and preferably knowledge of (as demonstrated by publications in highly recognized venues such as ACL, EMNLP, ICML, NIPS, etc.) of natural language processing and machine learning, including deep learning and learning of latent variable models. For the second postdoctoral position, interest or experience in semantic hashing is a plus.

The successful candidates will have an opportunity to work on cutting-edge natural language processing, multimedia processing and machine learning research. He/she will be given the opportunity for personal development beyond research, for example by contributing to departmental teaching at the undergraduate and graduate levels. KU Leuven is an institution for research and education with international appeal. All programmes at this University are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!
2 PhD positions in natural language understanding at KU Leuven, Belgium

Employer: KU Leuven, Department of Computer Science, Language Intelligence and Information Retrieval lab
Title: PhD researcher
Speciality: Natural language understanding, machine learning
Location: Leuven, Belgium
Deadline: May 21, 2018
Date posted: April 23, 2018
Contact: Sien Moens (sien.moens {at} cs.kuleuven.be)

PhD positions

PhD position on the topic of multimodal representation learning trained on language and visual data. The goal is to learn continuous representations of language grounded in visual data (static images and video) including the design, implementation and evaluation of novel machine learning architectures that capture textual as well as visual grammars. The learned representations will serve as commonsense knowledge in language understanding tasks. This PhD position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS. The position starts September 1, 2018.

PhD position on the topic of semantic parsing of natural language sentences and discourse. The goal is to learn compositional models that take into account continuous representations of objects, their attributes and likely relationships. An additional focus is on using the compositional models to efficiently parse language in real-time. This PhD position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS. The position starts September 1, 2018.

Requirements

Master degree in computer science or equivalent.
Motivated interest in and preferably knowledge of (as demonstrated in master thesis or master course work) of natural language processing, machine learning, including deep learning and learning of latent variable models, semi-supervised machine learning, and constrained optimization.

The successful candidates will have an opportunity to work on cutting-edge natural language processing, multimedia processing and machine learning research. He/she will be given the opportunity for personal development beyond research, for example by contributing to departmental teaching at the undergraduate and graduate levels. KU Leuven is an institution for research and education with international appeal. All programmes at this University are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!
Associate Research Scientist (NLP, machine learning and text mining), TU Darmstadt

Employer: UKP Lab, Technische Universität Darmstadt, Germany
Title: Associate Research Scientist
Specialty: NLP, machine learning, text mining
Location: Darmstadt
Deadline: March 28, 2018
Date posted: March 19, 2018
Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist (PostDoc- or PhD-level; for a term of three years with an extension option)

This position is intended to strengthen the profile of the lab in a research area within natural language processing (NLP), machine learning and text mining, such as word-/sentence-/discourse-level semantics, robust textual inference, and the applications of the above in higher-level NLP, such as QA, text summarization, argument mining, etc. The lab closely cooperates with the groups in machine learning, computer vision, and interactive data analytics of the Computer Science department and many other research labs and companies. Besides, the lab conducts research projects in close cooperation with the users in the humanities and social sciences.

We ask for applications from highly qualified candidates with a specialization/PhD in NLP/Text Mining, preferably with relevant research and teaching experience and strong communication skills in English and German (optional). Individual career development plans can be worked out. E.g. the successful candidate will contribute to research activities described above and – based on the previous experience and qualifications – will be given an opportunity to grow, i.e. to teach courses, co-supervise PhD students, and manage research projects. Outstanding candidates (at M.Sc.-level, without a PhD) are invited to apply and can be considered for a PhD-level position with an adjusted scope of responsibilities. The position being filled is based on the university funds.

The research environment is excellent. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones among the German universities. Its unique Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG and the BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasize NLP, machine learning and text mining. UKP Lab is a highly dynamic research group committed to top-level conferences, technologies of the highest standards, cooperative work style and close interaction of team members.

Applications should include a detailed CV, a motivation letter, an outline of previous working or research experience and the names of three referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the application form by March 28, 2018. The position is open until filled.
PhD positions in DFG Graduate School AIPHES, TU Darmstadt: Natural Language Processing and Machine Learning

Employer: Technische Universität Darmstadt
Title: Doctoral researcher
Speciality: Natural Language Processing and Machine Learning
Location: Darmstadt
Deadline: April 3, 2018
Date posted: March 19, 2018
Contact: AIPHES recruitment form

The Research Training Group "Adaptive Information Preparation from Heterogeneous Sources" (AIPHES), which has been established in 2015 at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling two positions for three years, starting as soon as possible, located in Darmstadt and associated with UKP Lab (Prof. Iryna Gurevych). Positions remain open until filled.

The positions provide the opportunity to obtain a doctoral degree with an emphasis in natural language processing tasks such as structured summaries of complex contents, in content selection and classification enhanced by reasoning, or a related area.

The goal of AIPHES is to conduct innovative research in knowledge acquisition on the Web in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, computer vision, and automated quality assessment will be developed. AIPHES will investigate a novel, complex scenario for information preparation from heterogeneous sources. It interacts closely with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.

AIPHES emphasizes close contact between the students and their advisors with regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. Participating research groups at Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Claudia Schulz), Machine Learning (Prof. Kersting), Visual Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at Ruprecht Karls University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of the Heidelberg Institute for Theoretical Studies (HITS). AIPHES strives to publish its results at leading scientific conferences and is actively supporting its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.

Prerequisites

We are looking for exceptionally qualified candidates with a degree in Computer Science, Machine Learning, NLP, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Prior experience in scientific work is a plus. Applicants should be willing to work on lesser-resources languages, e.g. German, and, if necessary, to acquire basic German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

The research environment is excellent. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. UKP Lab is a highly dynamic research group committed to top-level conferences, technologies of the highest standards, cooperative work style and close interaction of team members. Its BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasizes NLP, machine learning and text mining. The large-scale argument mining project allows searching large document collections in response to a user-defined topic: neural networks determine relevant pro and con arguments in real-time, and represent them in a concise summary.

Applications should include a motivational letter that refers to one of the planned research areas of AIPHES, a CV with information about the applicant’s scientific work, certifications of study and work experience, as well as a thesis or other publications in electronic form. Application materials must be submitted via the following form by April 3rd, 2018: https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/

In addition, applicants should be prepared to solve a programming and a reviewing task in the first two weeks after their application.
Tenure track at IDSIA (Switzerland) in Natural Language Understanding and Text Mining

Employer: IDSIA (www.idsia.ch)
Title: Tenure track
Specialty: Natural Language Understanding and Text Mining
Location: Lugano, Switzerland
Deadline: March 31th, 2018 (start date flexible)
Date posted: March 16, 2018
Contact email: Giorgio Corani (giorgio.corani@supsi.ch)

Project Description
The person hired on this position will evenly share her/his working time on two main activities:

Basic research, aiming at publications in highly rated journals and international conferences;
Applied research, collaborating with industrial partners in cutting-edge projects.

A further cross-activity will be contributing to search for funding opportunities of both basic and applied research.

The involved research area regards natural language understanding (probabilistic language modeling, keyword extraction, text summarization), text mining (text classification, word embedding, topic models) and semantic analysis of the text.

Requirements

The position is for a young researcher who has already obtained a PhD on a topic relevant to Natural Language Processing and/or Text Mining;
Master in informatics or other areas with strong emphasis on computation;
Excellent programming skills and deep knowledge of libraries for natural language processing;
Communication and collaboration skills.
Proficiency in written and spoken in English.

Optional but preferential

Strong publications record;
Capability of leading projects carried out with industrial partners on automatic analysis of documents;
Good knowledge of machine learning algorithms and tools;
Good knowledge of written and spoken Italian, or willingness to learn it in short times.

We offer

A tenure track position (degree of occupancy 100%)
International working environment;
Collaboration with a strong team of researchers in Machine Learning and Statistics (our publication record is available at: [8]);
Salary starting from 80,000 CHF / year (about 84,000 $/year)

Application
Applicants should submit the following documents, written in English:

curriculum vitae
list of exams and grades obtained during the Bachelor and the Master of Science;
list of three references (with e-mail addresses);
brief statement on how their research interests fit the topics above (1-2 pages);
publications list and possibly link to the thesis.

Applications should be submitted through the Application website
Postdoctoral position in Psychology at University of Pennsylvania

Employer: University of Pennsylvania
Title: Postdoctoral Researcher
Specialty: Computational Linguistics
Location: Philadelphia, Pennsylvania
Deadline: March 20th, 2018 (start date flexible)
Date posted: February 27, 2018
Contact email: Sudeep Bhatia (bhatiasu@sas.upenn.edu)

Project Description
The researcher will study how word embeddings and related techniques can be used to model how people represent objects and events, and, in turn, predict human probability judgment, event forecasting, social judgment, risk perception, and consumer behavior.

Requirements
Candidates should have completed (or should be about to complete) a PhD in Computer Science, Psychology , Cognitive Science, or related fields, and should be interested in applying natural language processing to address questions in Psychology, Policy, Economics, and Marketing. Applicants should have graduate-level expertise in natural language processing and machine learning.

Additional Details
The position will be based in the Psychology department at the University of Pennsylvania, and will be supervised by Sudeep Bhatia. Lyle Ungar will serve as a second advisor. The postdoctoral researcher will also be encouraged to interact with the broader intellectual community at Penn. The appointment is expected to begin Sept 1, 2018 (start date is flexible). The term of hiring is one year, renewable for up to one additional year. The position is full time and there are no teaching or administrative responsibilities.

How to Apply
Applications for the positions must be submitted by March 20th, 2018, to ensure full consideration. However, review of applications will continue until the position is filled. Applicants should email a curriculum vitae and contact information for two references to Sudeep Bhatia at bhatiasu@sas.upenn.edu.
Postdoctoral Research Scientist: Computational Linguistics - Rochester Institute of Technology

Employer: Rochester Institute of Technology
Title: Postdoctoral Research Scientist
Specialty: Postdoctoral Research Scientist: Computational Linguistics
Location: Rochester, New York, United States
Deadline: Open until filled
Date posted: February 17, 2018
Contact: Cecilia O. Alm (coagla@rit.edu)
Job listing

We invite applications for an interdisciplinary postdoctoral position with specialization in computational linguistics and/or technical or scientific methods in language science at Rochester Institute of Technology (RIT), in Rochester, NY. This is a one-year position with opportunity for renewal. The applicant should demonstrate a fit with our commitment to collaborate with colleagues across the university on research initiatives in Personalized Healthcare Technology. In addition to engaging in research projects, the right candidate will be able to teach a total of two courses per year - one course each in the College of Liberal Arts and the Golisano College of Computing and Information Sciences at RIT. The teaching assignment may be Computer Science Principles, Introduction to Language Science, Language Technology, Introduction to Natural Language Processing, Science and Analytics of Speech (acoustic and experimental phonetics), Spoken Language Processing (automatic speech recognition and text-to-speech synthesis), Seminar in Computational Linguistics, or another course depending on background.

Required Minimum Qualifications:

PhD., with training in Computational Linguistics, Linguistics, or an allied field
Advanced graduate coursework in computational linguistics (natural language processing or speech processing), linguistics, or language science broadly
Publication record and plan for research and grant seeking activities
Ability to contribute in meaningful ways to our commitment to cultural diversity, pluralism, and individual differences

Required Application Documents:
Cover Letter, Curriculum Vitae or Resume, List of References, Research Statement

How To Apply:
Please apply at: http://careers.rit.edu/staff. Click the link for search openings and in the keyword search field, enter the title of the position or 3599BR.
Postdoctoral Research Fellow: Automated Text Analysis - University of Michigan

Employer: University of Michigan
Title: Research Fellow
Specialty: Postdoctoral Research Fellow: Automated Text Analysis
Location: Ann Arbor, Michigan, United States
Deadline: March 12, 2018, desired start June 2018
Date posted: February 12, 2018
Official Job Listing - Application Page

How to Apply
A cover letter is required for consideration for this position and should be included as the first page of your CV. The cover letter should outline your specific interest in the position and outline skills and experience that directly relates to this position.

Job Summary
A generously funded project (2016-2021) welcomes applicants with interest in and expertise in automated text analysis. The project, M-Write, brings together researchers from writing studies, the natural sciences, and computer programming to investigate how Writing-to-Learn pedagogies promote conceptual learning by students in large-enrollment gateway courses. Students write in response to carefully crafted assignments, participate in automated peer review, and then revise their drafts. Approximately 10,000 students have already participated in M-Write courses, which means that there is already a large corpus of student writing and peer review responses, with more being added each semester. We seek a specialist in automated text analysis to join the research team. Goals include principled corpus compilation, analysis, and development of corpus-driven algorithms to support student learning of key concepts highlighted in assignments.

This position will be a 12-month Post-Doctoral Fellowship beginning in June 2018 with possibility of renewal. The salary is negotiable.

Responsibilities

Retrieve and create corpora for NLP and associated linguistic analysis
Develop and test systems for identifying students who appear to lack key concepts as defined by lexical and grammatical structures, discourse analysis, and possible sentiment analysis
Design a data warehouse that will facilitate the ability to collect, manage, and archive data including student interviews, student surveys, student writing samples, and academic and demographic data for students in order to conduct research leading to peer-reviewed publications, and future external funding
In collaboration with other project staff collect, manage, and archive data including student interviews, student surveys, student writing samples, and academic and demographic data for students in order to conduct research that could lead to peer-reviewed publications
Organize, synthesize, and analyze project data, and write co-authored papers with project PIs for peer-reviewed articles

Required Qualifications
Ph.D. in computational linguistics, natural language processing, machine learning, cognitive linguistics, sentiment analysis or related area. Previous research experience in textual analysis in terms of syntax (e.g. parts of speech tagging), semantics (e.g. topic segmentation) and discourse analysis is essential. Research in statistical modeling is also required. Strong computer science skills are essential, and data warehouse design skills are highly desired. Background in the theory and research of writing-to-learn pedagogies and experience with educational technology in natural language processing are desired but not required.

Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act.

U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.

CU Boulder: Postdoc in Machine Learning with an Emphasis on Speech and Language Processing

Employer: University of Colorado Boulder
Title: Postdoctoral Associate
Specialty: Machine Learning, Speech and Language Processing
Location: Boulder, Colorado, United States
Deadline: Ongoing, desired start August 2018
Date posted: February 9, 2018
Contact: Dr. Sidney D’Mello

Postdoc in Machine Learning with an Emphasis on Speech and Language Processing
(Department of Computer Science and Institute of Cognitive Science at the University of Colorado Boulder)

The Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral research associate starting August 2018 for one year and renewable for a second (and third) year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.

The successful candidate will conduct research in machine learning applied to speech and language processing to solve challenging, but impactful, real-world problems. He/she will participate in the development and application of advanced machine learning techniques (e.g., deep recurrent neural networks) to multi-party speech data collected in authentic contexts (e.g., classroom discourse, small group collaborative problem solving).

The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science and the Institute of Cognitive Science.

The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop new technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills by mentoring students, and gain expertise in co-authoring grant proposals.

Required

Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire
Research experience in advanced machine learning (e.g., deep learning, probabilistic graphical models)
Evidence of a strong publication record in the aforementioned areas

Desired

Research experience in one or more of the following areas: acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling

Job Details

One year initial position with possible extension to a second and third year based on performance and availability of funds
Desired start date is August 2018. However, start date is negotiable
Competitive salary with benefits commensurate with qualifications

How to Apply
Please complete the following form: https://tinyurl.com/CUPostDoc1 and upload the following required documents: (1) cover letter, (2) current CV, and (3) one or two representative publications as a single PDF document named FirstNameLastName.pdf.

Additional documents will be required from candidates selected for further review after the initial documents are received: (4) – The document uploaded for Proof of Degree can be a Transcript which shows the date the degree was conferred; Copy of Diploma; or official letter from the Registrar or the Dean of the School or College conferring the degree; and (5) – List of references

About the University of Colorado and the City of Boulder
The University of Colorado Boulder is a widely recognized and respected research university in the U.S. Its 11 research institutes house more than 900 researchers, students, and staff, making a major contribution to the research infrastructure of the university and local economy. Boulder is one of the 34 public research institutions belonging to the Association of American Universities (AAU). It contributes to the local community via research partnerships, education opportunities, and development projects.

The city of Boulder hosts thriving tech industries, supports a renowned entrepreneurial community, has some of the region's best restaurants, and is home to many federal research labs. There are endless ways to enjoy Boulder's 300-plus days of sunshine a year — from the hundreds of miles of hiking and biking trails to some of the country's finest microbrews. It's also quick and easy to get around by bus or bike and a quick 25 mile ride to nearby Denver.

Special Instructions to Applicants
The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.

The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at adacoordinator@colorado.edu.

Full-time Researchers, IBM Research - Almaden

Employer: IBM Research - Almaden
Title: Research Staff Member
Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas
Location: San Jose, California, USA
Deadline: June 1, 2018
Date posted: January 31, 2018
Contact: Yunyao Li (yunyaoli {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)

IBM Research - Almaden is looking for talented researchers with background in Natural Language Processing and Machine Learning to join the Natural Language Processing, Entity Resolution and Discovery Department. We are actively building the next-generation knowledge engineering platform for the creation, maintenance and consumption of "industry-specific" knowledge bases from a large number of (un/semi)structured public, licensed and enterprise content sources. Such industry-specific knowledge bases are the foundation of many emerging AI services and applications.

Such a platform needs to support the entire life cycle for knowledge engineering including:

Creation, maintenance and evolution of domain schema to capture domain concepts of interest
Scalable systems, tools and methodologies to support the development of individual analytic stages involved in creating knowledge from multiple sources, including text analytics, entity resolution and integration, cleansing, data transformations and machine learning
Domain adaptability and easy-to-use interfaces for key user personae for the individual analytic stages
Scalable content services infrastructure that enables production-level deployment of these analytic workflows with support for continuous monitoring, introspection and recovery in the knowledge base creation process
Techniques and methods for scalable and flexible indexing and querying support over the knowledge base supporting structured and search style queries, entity queries, as well as ad-hoc and exploratory queries
Easy-to-use knowledge consumption interfaces for both human and machine consumption including support for discovery and ad-hoc NLQ driven interfaces
Incorporating crowd sourcing and continuous evolution of the system through learning from user interactions

The research builds upon and extends successful projects from our group, which have resulted in significant academic, industrial and open source impact.

SystemT: http://researcher.watson.ibm.com/researcher/view_group.php?id=1264
Midas: http://researcher.watson.ibm.com/researcher/view_group.php?id=2171
SystemML: http://researcher.watson.ibm.com/researcher/view_group.php?id=3174

The research is being conducted in close collaboration with the IBM Watson division and multiple global IBM Research labs (Australia, India, and Zurich), with focus around demonstrating scalable knowledge base construction in multiple industry domains (e.g., Healthcare, Financial and consumer domains).

We are currently looking for talented researchers with interest in system design and implementation as well as experience in one or more areas relevant to the knowledge engineering life cycle as described above, particularly those with background in Natural Language Processing and Machine Learning. You will participate in cutting edge research, build at industrial scale, and keep connected to the larger research community by regularly publishing papers and partnering with universities.

Required

Bachelor's degree or equivalent in Computer Science, related technical field or equivalent practical experience.
Programming experience in one or more of the following: Java, C, C++ and/or Python.
Experience in Natural Language Processing, Computational Linguistics, Machine Learning, Large-Scale Data Management, Data Mining or Artificial Intelligence
Contribution to research communities and/or efforts, including publishing papers at conferences such as ACL, EMNLP, NIPS, AAAI, ICML, SIGMOD, VLDB, and KDD.

Preferred

PhD in Computer Science, related technical field or equivalent practical experience.
Relevant work experience, including experience working within the industry or as a researcher in a lab.
Ability to design and execute on research agenda.
Strong publication record.

PhD-level Researchers, AIPHES, Darmstadt/Heidelberg

Employer: Technische Universität Darmstadt or Ruprecht Karls University Heidelberg, Germany
Title: Doctoral researcher
Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas
Location: Darmstadt or Heidelberg
Deadline: February 11, 2018
Date posted: January 21, 2018
Contact: AIPHES recruitment form

PhD positions in DFG Graduate School AIPHES: Natural Language Processing and Computational Linguistics

The Research Training Group “Adaptive Information Preparation from Heterogeneous Sources” (AIPHES), which has been established in 2015 at Technische Universität Darmstadt and at Ruprecht Karls University Heidelberg is filling several positions for three years, starting as soon as possible. Positions remain open until filled.

The positions provide the opportunity to obtain a doctoral degree in the research area of the training group with an emphasis, e.g., in opinion and sentiment - extrapropositional aspects of discourse, in natural language processing tasks such as structured summaries of complex contents, in content selection and classification enhanced by reasoning, or a related area. The group will be located in Darmstadt and Heidelberg. The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.

The goal of AIPHES is to conduct innovative research in knowledge acquisition on the Web in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, computer vision, and automated quality assessment will be developed. AIPHES will investigate a novel, complex scenario for information preparation from heterogeneous sources. It interacts closely with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.

Participating research groups at Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych), Machine Learning (Prof. Kersting), Visual Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at Ruprecht Karls University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of the Heidelberg Institute for Theoretical Studies (HITS).

AIPHES emphasizes close contact between the students and their advisors with regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and will actively support its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.

Prerequisites

We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be willing to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. The Institute for Computational Linguistics (ICL) of the Ruprecht Karls University Heidelberg is one of the largest centers for computational linguistics both in Germany and internationally. The ICL and the NLP department of the HITS jointly run the graduate program “Semantic Processing” with an integrated research training group “Coherence in language processing: Semantics beyond the sentence”, which has a close connection to the topics in computational linguistics of AIPHES.

Applications should include a motivational letter that refers to one or two of the planned research areas of AIPHES, a CV with information about the applicant’s scientific work, certifications of study and work experience, as well as a thesis or other publications in electronic form. Application materials must be submitted via the following form by February 11th, 2018:

https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/

In addition, applicants should be prepared to solve a programming and a reviewing task in the first two weeks after their application.

Associate Research Scientist, UKP Lab, TU Darmstadt

Employer: UKP Lab, Technische Universität Darmstadt, Germany
Title: Associate Research Scientist
Specialty: Interactive text analysis
Location: Darmstadt
Deadline: February 16, 2018
Date posted: January 21, 2018
Contact: jobs@ukp.informatik.tu-darmstadt.de

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist (PostDoc- or PhD-level; for an initial term of two years)

in the areas of Interactive Text Analysis, the UKP Lab is looking for a researcher with a background in Natural Language Processing and Software Development to work on the project INCEpTION funded by the German Research Foundation (DFG). The project is developing a comprehensive interactive text analysis platform to improve efficiency and to enable new ways of exploring, annotating and analyzing large-scale text corpora through the use of assistive features based on machine-learning.

We ask for applications from candidates from Computer Science with a specialization in Natural Language Processing, Text Mining, or Machine Learning, preferably with expertise in research and development projects, and strong communication skills. The successful applicant will work on research and development activities regarding text annotation by end-users (researchers, analysts, etc.), information recommendation, and create the corresponding text analysis platform. Ideally, the candidates should have demonstrable experience in designing complex (NLP and/or ML) systems (frontend and backend), in applying NLP-related Machine Learning-based methods, and strong programming skills especially in Java. Experience with neural network architectures and demonstrable engagement in open source projects are strong pluses.

The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), with a rapidly developing focus on Interactive Machine Learning and who provide a range of high-quality open source software packages for interactive and automatic text analysis to research and industry communities.

UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent work environment. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasizes NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest standards, cooperative work style and close interaction of team members.

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the applications to: jobs@ukp.informatik.tu-darmstadt.de by 16.2.2018. The positions are open until filled. Later applications may be considered if the position is still open.

Employment opportunities, postdoctoral positions, summer jobs

2019-08-09T19:19:47Z

ETSOC:

Associate Research Scientist, Speech ; EDUCATIONAL TESTING SERVICE; Princeton New Jersey

Educational Testing Service (ETS), with headquarters in Princeton, NJ, is the world's premier educational measurement institution and a leader in educational research. With more than 3,400 global employees, we develop, administer and score more than 50 million tests annually in more than 180 countries at more than 9,000 locations worldwide. We design our assessments with industry-leading insight, rigorous research and an uncompromising commitment to quality so that we can help education and workplace communities make informed decisions.

ETS's Research & Development division has an opening for an associate research scientist in the Speech area of the NLP & Speech research center. The projects in this research group focus on the application of NLP, speech, dialogue, and multimodal processing algorithms in automated scoring capabilities for assessment and learning tasks involving constructed responses (such as essays and spoken responses). In addition to its signature automated scoring systems for text and speech assessments, the group is actively pursuing technology innovation in education and learning spaces by performing foundational research, prototyping next-generation capabilities, and collaborating with academic and industry partners. The NLP & Speech research group currently comprises around 20 PhD-level research scientists, 10 research engineers, and 10 research assistants and administrative staff.

This is an excellent opportunity to be part of a world-renowned research and development team and have a significant impact on existing and next-generation NLP, speech, dialogue, and multimodal systems and their use in educational applications.

Responsibilities:

*Conceptualizing, proposing, obtaining funding for, and directing small projects in the area speech processing for educational applications and assisting in moderate-to-major research projects.
*Assist in generating or contributing to new knowledge or capabilities in the field of speech processing and in applying that new knowledge and capabilities to existing and/or new ETS products and services. Some speech processing research areas that are relevant to ETS R&D include (but are not limited to) automatic speech recognition for non-native speakers of English, voice biometrics, computer-assisted pronunciation training, and automated speech scoring.
*Participate in setting substantive research and development goals and priorities for a group or initiative within a vice presidential area.
*Develop proposals and budgets for small projects and/or assist in development for moderate-to-major ones.

Requires:

*Ph.D. in Computer Science, Computational Linguistics, Electrical Engineering, Natural Language Processing, Linguistics, or a similar area with major education in speech processing.
*At least one year of independent substantive research experience in speech processing is required. Experience can be gained through doctoral studies.
*Practical expertise with speech processing tools (e.g., kaldi), experience with machine learning toolkits (e.g., Weka, scikit-learn), and fluency in at least one major programming language (e.g. Java, Python).
*Practical experience with deep learning paradigms and toolkits (e.g., TensorFlow, pytorch, Keras) is highly desirable.
*Documented contributions to research communities and a strong publication record and experience I system building and prototyping are preferred.

We offer a competitive salary, comprehensive benefits, possible relocation assistance and excellent opportunities for professional and personal growth. For a full list of position responsibilities and to apply please visit the following link: Associate Research Scientist, Speech https://etscareers.pereless.com/index.cfm?fuseaction=83080.viewjobdetail&JID=290092&BUID=2538&cid=83080

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of Women and Minorities.

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of protected Veterans and Individuals with Disabilities.

EDUCATIONAL TESTING SERVICE is a Drug-free workplace.

Apply Here: http://www.Click2Apply.net/bk2nyzrv9cwpqgdr

PI112670813

Postdocs on Facebook-sponsored neural NLG project, Ohio State University

*Employer: The Ohio State University
*Title: Postdoctoral Scholar
*Specialty: NLG, conversational systems, NLP
*Location: Columbus, OH, USA
*Deadline: August 18, 2019
*Date posted: August 2, 2019
*Contacts: Michael White (mwhite@ling.osu.edu)

Multiple postdoctoral scholar positions are open at Ohio State for a Facebook-sponsored project on natural language generation in conversational system with the theme of structure in neural NLG.

Full details are available on the application page: https://www.jobsatosu.com/postings/96937
Open Rank Professor, iSchool and Department of Criminology and Criminal Justice, University of Maryland

*Employer: University of Maryland
*Title: Open Rank Professor
*Specialty: Data-driven analyses in crime, law and justice
*Location: College Park, MD
*Deadline: October 1, 2019 (deadline for full consideration, late applications may be accepted)
*Date posted: July 26, 2019
*Contacts: Katie Shilton (kshilton@umd.edu) and Laura Dugan (ldugan@umd.edu)

The College of Information Studies (Maryland’s iSchool) and the Department of Criminology and Criminal Justice at the University of Maryland, College Park invite applications for an open rank tenure-track or tenured faculty position with a focus on building systems for and conducting data-driven analyses in crime, law and justice. Examples of possible research approaches include: data mining; information visualization; automating or advancing data pre-processing; signal processing, computer vision, and natural language processing; applied machine learning; algorithmic transparency, debiasing algorithms and data, and algorithmic accountability; and computational social science.

We are interested in candidates who apply these topics in the context of criminology, justice, and criminal law (e.g., predictive policing, pretrial risk assessment, database building through open sources, linking criminal records, recidivism prediction, management of bodycam video, face recognition in surveillance images, management of DNA evidence). Candidates with data-driven approaches to related social science topics are encouraged to apply.

Applicants should apply electronically at https://ejobs.umd.edu/postings/71777.
Tenure-track Assistant Professor of Computational Linguistics, Boston University

*Employer: Boston University
*Title: Assistant Professor
*Specialty: Computational Linguistics
*Location: Boston, MA
*Deadline: October 20, 2019 (deadline for full consideration, late applications may be accepted)
*Date posted: July 24, 2019
*Contact: Carol Neidle <carol@bu.edu>

The Boston University Linguistics Department seeks a tenure-track Assistant Professor of Computational Linguistics (for primary appointment in Linguistics, secondary appointment in or affiliation with Computer Science), beginning July 1, 2020, pending budgetary approval; to conduct research, teach courses in Computational Linguistics and related areas (Linguistics, Computer Science) at introductory and advanced levels, and advise graduate and undergraduate students. Should have excellent programming skills and experience in computational linguistic research. Experience in application of computational methods to field linguistics or analysis of understudied languages would be a plus. Requirements include PhD in Linguistics (preferred) or Computer Science in hand by start date, with strong background in both fields, and demonstrated excellence in teaching, advising, and research. For further information: http://ling.bu.edu/ and http://www.bu.edu/cs/ .

Applications should be uploaded through https://academicjobsonline.org/ajo/jobs/14064. Full details of application requirements, as well as a statement of the university’s commitment to diversity and inclusion, are available on that site.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.

Full-Time Research Engineer, New York University

*Employer: New York University
*Title: Research Engineer
*Specialty: Open-source software, pretraining and transfer learning
*Location: New York, USA
*Deadline: July 31, 2019 (deadline for full consideration, late applications may be accepted)
*Date posted: July 17, 2019
*Contact: Sam Bowman <bowman@nyu.edu>

'm hiring a full-time research engineer. If you're interested in transitioning from software engineering to NLP/ML research, and you'd be up for a stint in an academic lab, there's more information and an application from here: https://apply.interfolio.com/65666
PhD in Biomedical Information Extraction, The University of Manchester, UK

*Employer: University of Manchester
*Title: PhD in Biomedical Information Extraction
*Specialty: Natural Language Processing, Text Mining, Machine Learning
*Location: Manchester, UK
*Deadline: May 26, 2019
*Date posted: May 10, 2019
*Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

The National Centre for Text Mining (http://www.nactem.ac.uk), School of Computer Science in collaboration with the Faculty of Biology, Medicine and Health, The University of Manchester, offer a PhD scholarship to advance research in neural information extraction applied to cancer mechanisms.

Candidates must have a minimum upper second class first degree in Computer Science and an MSc in Computer Science or a related discipline. Experience in machine learning and neural networks applied to NLP are highly desirable, as is the ability to work in an interdisciplinary setting.

Further information can be obtained here: http://nactem.ac.uk/newsitem.php?item=393
PhD in Biomedical Information Extraction, The University of Manchester, UK

*Employer: University of Manchester
*Title: PhD in Biomedical Information Extraction
*Specialty: Natural Language Processing, Text Mining, Machine Learning
*Location: Manchester, UK
*Deadline: May 26, 2019
*Date posted: May 10, 2019
*Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

The National Centre for Text Mining (http://www.nactem.ac.uk), School of Computer Science in collaboration with the Faculty of Biology, Medicine and Health, The University of Manchester, offer a PhD scholarship to advance research in neural information extraction applied to cancer mechanisms.

Candidates must have a minimum upper second class first degree in Computer Science and an MSc in Computer Science or a related discipline. Experience in machine learning and neural networks applied to NLP are highly desirable, as is the ability to work in an interdisciplinary setting.

Further information can be obtained here: http://nactem.ac.uk/newsitem.php?item=393

24-month Postdoctoral Position, IRISA (France, Lannion), Paraphrase Generation / Natural Language Generation

*Employer: University of Rennes 1
*Title: Postdoctoral Researcher
*Specialty: Natural language processing
*Duration: 24 months
*Location: Lannion, France
*Deadline: until filled
*Date posted: April 23, 2019
*Contact: Gwénolé Lecorvé (gwenole.lecorve@irisa.fr), Jonathan Chevelu (jonathan.chevelu@irisa.fr)

Overview

IRISA [1] is the largest research laboratory dedicated to computer science in France, hosting more than 800 people and 40 research teams. Its activities spans all the fields of computer science. It is located in Rennes, Lannion, and Vannes.

The Expression team [2] works on natural language processing (NLP), be it through texts, speech or gestures. In particular, it focuses on the expressive components of the human languages.

The opened position is part of the ANR TREMoLo project [3] hosted by the team and aimed at transforming the language register of texts, for instance mapping a text from the formal register to the casual one. This involves work on linguistic characterization, pattern mining and paraphrase generation. The activities are conducted on the French language.

The recruited person will work on a paraphase generation and propose solution to integrate register-specific stylistic constraints. She/he is expected to investigate on the use of statistical and neural paraphrasing systems, that is:

*Training of a baseline systems using either statistical or neural approaches.
*Intregration of constraints formulated as sequential patterns.
*Organization of evaluation campaigns.

Job requirements

*PhD in natural language processing or machine learning
*Top academic and publication records
*Good communication skills
*Team work experience
*Knowledge in French is a plus but is not required.

Postdoctoral Position Available in Natural Language Processing and Human-Robot Interaction, Army Research Lab

*Employer: US Army Research Laboratory
*Title: Postdoctoral Researcher
*Specialty: Natural language processing, human-robot interaction, dialogue systems
*Location: Adelphi, Maryland, United States with ~8 weeks of travel per year to Boston
*Deadline: April 30, 2019 (or until filled)
*Date posted: April 15, 2019
*Contact: Matthew Marge (matthew.r.marge.civ@mail.mil)

Overview

The US Army Research Laboratory (ARL) is welcoming applications for a one-year renewable (up to 3 years) postdoctoral position at the intersection of natural language processing (NLP) and human-robot interaction (HRI), focusing on dialogue with robots. The successful candidate will contribute to the research and development of the project, “Learning about the Physical World Autonomously through Information-Theoretic Dialogue”, funded by the Office of the Secretary of Defense's Laboratory University Collaboration Initiative (LUCI) Fellowship. The goal of the project is to investigate techniques for robots to learn, from natural language dialogue, about objects and actions in the physical world.

In support of this effort, ARL is looking for an individual with a PhD or equivalent experience, with interest and a background in human-robot interaction, natural language processing, symbol grounding, and/or dialogue systems. We plan to develop an approach to detecting uncertainty about objects and actions using multiple modalities (e.g., language and vision), so that robots can initiate natural language questions that humans can answer that maximize the agent's information gain in a situation.

The project is supervised by Dr. Matthew Marge (ARL), with co-PI Dr. Gordon Briggs (NRL), and faculty collaborator Prof. Matthias Scheutz (Tufts University). The successful candidate will collaborate with the PIs on designing human-robot interaction experiments and developing techniques to support human-robot dialogue systems.

The position is available immediately with a duty station at the Adelphi Laboratory Center (ALC), Adelphi, MD (Washington, D.C. metro area), with extended travel (~8 weeks per year) to Boston, MA to visit the Human-Robot Interaction Lab at Tufts University and periodic travel to the Laboratory for Autonomous Systems Research at the Naval Research Laboratory, Washington, D.C.

Job requirements:

*Ph.D. or equivalent research experience in computer science, artificial intelligence, computational linguistics, human-robot interaction, computer engineering or related field.
*U.S. citizenship is preferred.

To learn more about this position, or to apply, please send questions or a CV to Dr. Matthew Marge at matthew.r.marge.civ@mail.mil.
Associate Research Scientist in Natural Language Processing, UKP Lab, TU Darmstadt

*Employer: UKP Lab, Technische Universität Darmstadt, Germany
*Title: Associate Research Scientist
*Specialty: Natural Language Generation, Semantics and Discourse Processing, Multi-document Information Consolidation
*Location: Darmstadt
*Deadline: April 30, 2019 (or until filled)
*Date posted: April 12, 2019
*Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist
(PhD-level; for an initial term of two years)

This position should further strengthen the group’s profile in one or more areas of Natural Language Processing (NLP), such as natural language generation, semantics and discourse processing, or multi-document information consolidation.

UKP Lab is a research group comprising over 30 team members who work on various aspects of data-driven NLP and machine learning with their novel applications in various domains, e.g. conversational IR systems, scientific literature analysis, or social media mining.

We ask for applications from candidates in Computer Science with a specialization in Natural Language Processing or Text Mining, preferably with prior expertise in the relevant areas of computer science and strong programming skills. Experience with neural network architectures and demonstrable engagement in open source projects are strong advantages. Strong communication skills in English are a must.

UKP’s provides an excellent cooperation network with both top academic and industrial partners in Artificial Intelligence (AI), and a supportive research environment within the lab. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique profile around AI and the DFG-funded Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) emphasize NLP, machine learning, and scalable infrastructures for the assessment and aggregation of information. UKP Lab is a high-profile research group committed to cutting-edge research, dynamic operations, cooperative work style and close interaction of team members. The selected candidates will have an opportunity for professional growth according to their seniority level.

Applications should include a detailed CV, a motivation letter and an outline of previous work or research experience (if available). Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference.

Please submit your application via the following form by April 30th, 2019: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The position is open until filled.
Senior Research Scientist - Natural Language Processing at Bosch Research

*Employer: Bosch Research
*Title: Senior Research Scientist (Principal level position also available)
*Specialties: Natural language processing, natural language understanding, information retrieval, question answering, information extraction.
*Location: Sunnyvale, CA, USA
*Deadline: N/A (The position is open until filled)
*Date Posted: March 7, 2019
*Website: http://smrtr.io/_cXw

Company Description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design. In all areas we work in close collaboration with our partners at leading US universities, leading-edge industry partners, and other worldwide Bosch research, development, and marketing units.

The focus of our global HMI research includes Visual Computing, Audio and Language Computing, Conversational AI, Smart Wearables and Haptics, User Experience (UX) and Human Factors, etc. We develop intuitive, interactive and intelligent solutions to enable an inspiring UX for Bosch products and services in application areas such as autonomous driving, car infotainment and driver assistance systems (ADAS), Industry 4.0 and Internet of Things (IoT), security systems, smart home and building solutions, health care, and robotics.

As a part of the global Human Machine Interaction research unit, our Language and Audio Computing group is responsible for shaping the future user experience of Bosch products by developing cutting-edge technologies and prototype systems in the fields of text and audio processing, including natural language processing, natural language understanding, question answering, information retrieval, and audio signal processing. We work on solutions to hard challenges of truly understanding the human language and audio signals, extracting the semantics from text and audio, and enabling natural, intuitive and intelligent HMI and personal assistance. We work with internal partners at various Bosch business units to transfer our ideas and solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals, e.g., ACL, EMNLP, NAACL, COLING, AAAI, ISWC, Interspeech, ICASSP

Job Description

*Drive advanced research and engineering of Natural Language Processing (NLP) technologies
*Apply research results to Bosch prototypes, products and services of information retrieval, question answering, conversational AI, and information extraction.
*Working together with Bosch business units to integrate the resulting system/software into Bosch platform with high quality implementation
*Summarize research findings in high-quality paper and/or patent submissions

Natural Language Processing Research Associate (KTP Associate) in Wilmslow, Cheshire, UK

*Employer: University of Manchester
*Title: Natural Language Processing Research Associate (KTP Associate)
*Specialty: Natural Language Processing, Text Mining, Machine Learning
*Location: Wilmslow, Cheshire, UK
*Deadline: April 7, 2019
*Date posted: March 7, 2019
*Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

An exciting opportunity has arisen for an ambitious graduate who has the ability and confidence to undertake a Knowledge Transfer Partnership (KTP) project between the National Centre for Text Mining (NaCTeM), University of Manchester and Bott and Co.

Bott and Co is a multiple award-winning solicitors based in Wilmslow, near Manchester, with particular expertise in flight delay compensation, holiday sickness and road traffic accident claims.

The successful KTP associate will work with supervisors from both NaCTeM and Bott on a 30 month project, which has the overall aim of building a state-of-the-art Natural Language Processing (NLP) system for legal text mining and predictive modelling (PM).

The position will provide you with a unique opportunity to apply state-of-the-art methods in NLP and PM in the scope of legal analysis.

This post is funded through a Knowledge Transfer Partnership (KTP) award, a UK Government scheme intended to promote sustained and mutually beneficial relationships between universities and industry.

ESSENTIAL SKILLS

*BSc and MSc degree in Computer Science or related areas
*Specialist (PhD-level) knowledge in Natural Language Processing or extensive experience in the development of NLP/text analysis software
*Experience in use of deep learning for NLP/text mining
*Experience of machine learning (especially of context aware linear models for multi-task learning, and of active learning) for NLP/text mining
*Experience of probabilistic inference, predictive modelling and decision making
*Software development experience in Java or Python

LOCATION - Bott and Co, Wilmslow, Cheshire

SALARY - £32,236 to £39,609 per annum plus performance bonus and £5,000 personal development budget

DURATION - 30 months - starting ASAP

CLOSING DATE - 07/04/2019

FURTHER DETAILS AND APPLICATION FORM - https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16973

Postdoc position, KU Leuven

*Employer: Department of Computer Science, KU Leuven
*Title: Postdoctoral Researcher
*Speciality: Representation learning in the context of natural language understanding
*Location: Leuven, Belgium
*Deadline: February 28, 2019
*Date posted: February 13, 2019
*Contact: sien.moens@cs.kuleuven.be

We offer a two-year postdoctoral position (extendable to four years) funded by the ERC (European Research Council) Advanced Grant CALCULUS “Commonsense and Anticipation enriched Learning of Continuous representations sUpporting Language UnderStanding” (http://calculus-project.eu). The position focuses on natural language understanding but gives possibilities to research topics in one or more of the following fields: machine learning (especially semi-supervised learning, transfer learning, incremental learning, deep learning and latent variable models), multimodal processing of language and visual data, learning the grounded meaning of language from various contexts in which language is used (e.g., physical, language and social), representation learning at the word, phrase, sentence or discourse level considering various contexts, learning commonsense knowledge about the world from multimodal data, multimodal grammar induction, and inference models for language understanding. The successful candidate will work on innovative natural language understanding research. He or she will be given the opportunity for personal development beyond research, for example by contributing to teaching (e.g., at the undergraduate and graduate levels). For an outstanding candidate there is the potential to grow into an assistant professorship.

KU Leuven ranks among the top 50 universities in THE World University Rankings 2019. The alumni of the LIIR lab have obtained outstanding positions in academics and industry (see https://liir.cs.kuleuven.be/people.php).

Responsibilities

*Perform research in language understanding and novel machine learning paradigms in the frame of the CALCULUS project.
*Carry out some teaching duties, which may include lectures/exercise sessions, the organization of student seminars, and the supervision of bachelor and master theses.
*Help in the supervision of PhD researchers of the CALCULUS team.

Profile

*You have (or are near completion of) a PhD in Computer Science (or a related field).
*You have a motivated interest in fundamental research in language understanding and machine learning.
*You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in relevant journals with high impact factor.
*You are good at collaborating with and leading others.
*You have a very good knowledge of English, both spoken and written.

Offer

*We offer a 2 x two-year postdoctoral position, starting in the summer of 2019.
*We offer a competitive wage and yearly budget to attend conferences and for short research stays.

Interested

Please contact Prof. dr. Marie-Francine Moens, tel.: +32 16 32 53 83, mail: sien.moens@kuleuven.be. Excellent candidates will be invited for an interview (possibly via Skype). The position will be closed when a valuable candidate is found.

Postdoc position, Masaryk University

*Employer: Machine Learning and Data Processing Department, Faculty of Informatics, Masaryk University
*Title: Postdoctoral Researcher
*Speciality: natural language processing, knowledge representation and reasoning
*Location: Brno, Czech Republic
*Deadline: March 1, 2019
*Date posted: January 15, 2019
*Contact: Ales Horak: hales@fi.muni.cz, subject "Postdoc 2019"
*Application link: https://www.muni.cz/en/about-us/careers/vacancies/43809

The Faculty of Informatics of Masaryk University (FI MU) in Brno, Czech Republic, invites applications for Post-doctoral positions in all areas of Computer Science. Brno, the second largest city in the Czech Republic, see https://www.gotobrno.cz/en/, is an attractive city for students and young researchers. The Faculty has a strong interest in attracting applications from abroad.

The postdoctoral positions are awarded for one year with an extension to the second year after a review. Gross salary is 50,000 CZK per month which, with an optional 10% bonus, sums to more than 25,500 EUR per year. Additional funds of 4,000 EUR per year will be available for travel and material expenses. Preferred start date of the contract is in June/July 2019, but other options can be negotiated without hassle.

Requirements

Candidates must have a PhD degree not older than 4 years at the time of application, from a university outside of the Czech and Slovak Republics. In case that the PhD defense is not yet finished, the candidate must also provide an official letter certifying that his/her PhD thesis has already been submitted for defense and outlining the expected schedule of the PhD defense. Candidates with a PhD degree from a Czech or Slovak university may also be considered if they prove at least two years of post-doctoral research experience abroad.

Evaluation

All candidates are expected to be fluent in English, while prior knowledge of Czech is not required. Candidates will be evaluated on the ground of their strong international research record, and preference will be given to those whose research areas match the research directions of the Faculty of Informatics; see http://www.fi.muni.cz/research/.

Application

Applications must be submitted electronically at the attached www address - the electronic application form (only reference letters, if not given directly to the applicant, may be sent by email). The applicants should provide the following documents with their application:

*An academic CV, a list of publications, and a motivation letter.
*A scanned copy of the PhD diploma, or a letter certifying submission of doctoral thesis for the defense.
*One external reference letter, and one support letter (expression of interest) from a member of the academic staff of the Faculty of Informatics of Masaryk University. These letters, if cannot be attached by the applicant him/herself, may be sent to the e-mail address hales@fi.muni.cz.

All interested applicants are strongly advised to informally contact their expected host research groups at the Faculty of Informatics well ahead of submitting their application.

Contact

Assoc.Prof. Ales Horak, Head of the Department of Machine Learning and Data Processing

Submission of applications: https://www.muni.cz/en/about-us/careers/vacancies/43809

E-mail (for inquiries and reference letters): hales@fi.muni.cz, subject "Postdoc 2019"
Two postdoctoral positions, University of Pittsburgh

*Employer: The Computational Social Dynamic Lab, University of Pittsburgh
*Title: Postdoctoral Research Associate
*Speciality: computational social science, NLP, machine learning.
*Location: Pittsburgh, PA, USA
*Deadline: January 15, or until position filled
*Date posted: December 06, 2018
*Contact: Yu-Ru Lin (email: <yuruliny@gmail.com> | web: http://yurulin.com | lab: https://picsolab.github.io/)

The Computational Social Dynamic (PICSO) Lab at the University of Pittsburgh is seeking two postdoctoral research associates for a computational social science project under the mentorship of Dr. Yu-Ru Lin and Dr. Rebecca Hwa. This highly interdisciplinary project aims to advance research methodology in revealing biases of different groups or cultures by analyzing social media data with cutting-edge methods of natural language processing and machine learning. The duration of the position is for one year, with the possibility of renewal. The compensation is competitive.

We welcome candidates who hold a PhD from a related background, including computational social science, computer science, computational linguistics, social psychology, sociology, political science, and applied mathematics. Particular priorities for hiring are: (1) knowledge and experiences in distributed semantic representation, sentiment analysis, and text mining methods, ideally demonstrated by publications in established venues (ACL, EMNLP, NIPS, ICML, KDD, etc.); (2) demonstrated ability to work with social media data; (3) prior experiences with computational social sciences a plus.

For full consideration, candidates should submit the following materials electronically as a single PDF file to Dr. Yu-Ru Lin at <yuruliny@gmail.com>:

*A brief statement of interest describing your relevant background
*Current CV
*The names and contact information for two references (letters of recommendation will be solicited from finalists)
*Two publications or other writing samples

Please include "PostDoc Application 2019" in the email subject line.
Research Scientist Interns at Adobe Research, San Jose, California

*Employer: Adobe Systems Incorporated
*Title: Research Scientist Intern
*Speciality: NLP, machine learning, dialog, and question answering.
*Location: San Jose, CA, USA
*Deadline: March 1, 2019
*Date posted: December 06, 2018
*Contact: bui@adobe.com

We are looking for Master and/or Ph.D. students with a strong background in NLP, machine learning, dialog, and/or question answering to work on our Creative Assistant project and Document Question Answering project. See our recent publications here for further details: https://sites.google.com/site/trungbuistanford/Home/publications
Assistant Professor Position at The University of Memphis

*Employer: University of Memphis
*Rank or Title: Assistant Professor
*Specialty: ML/NLP with particular interest in educational technologies
*Location: Memphis, Tennessee
*Deadline: 1/7/19 but applications accepted until search completed
*Date Posted: 11/28/18
*Contact email: cconnor2@memphis.edu
*Application link: [4]

The Department of Computer Science at the University of Memphis is seeking candidates for an Assistant Professor position beginning Fall 2019. The candidate’s research will be jointly supported by the Department of Computer Science and the Institute of Intelligent Systems (IIS). Focus area for this position include Machine Learning, Data Mining, and Big Data. Candidates whose research areas complement the language & discourse or learning focus area of the IIS are particularly encouraged to apply. Candidates from minority and underrepresented groups are highly encouraged to apply. Successful candidates are expected to develop externally sponsored interdisciplinary research programs, teach both undergraduate and graduate courses and provide academic advising to students at all levels.

Applicants should hold a PhD in Computer Science, or related discipline, and be committed to excellence in both research and teaching. Salary is highly competitive and dependent upon qualifications.

The Department of Computer Science ([5]) offers B.S., M.S., and Ph.D. programs as well as graduate certificates in Data Science and Information Assurance, and participates in an M.S. program in Bioinformatics (through the College of Arts and Sciences). The Department has been ranked 55th among CS departments with federally funded research. The Department regularly engages in large-scale multi-university collaborations across the nation. For example, CS faculty led the NIH-funded Big Data "Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K)" and the "Center for Information Assurance (CfIA)".

The Institute for Intelligent Systems consists of 54 faculty members across 14 departments including Communication Sciences and Disorders, Computer Science, Engineering, Education, Linguistics, Philosophy and Psychology. The IIS offers a graduate certificate in Cognitive Science, a minor in Cognitive Science, and is affiliated with BA and MS programs in other departments. The IIS receives $4-5 million in external awards per year from federal agencies such as NSF, IES, DoD, and NIH. Further information about the Institute for Intelligent Systems can be found at [6].

Known as America’s distribution hub, Memphis ranked as America’s 6th best city for jobs by Glassdoor in 2017. Memphis metropolitan area has a population of 1.3 million. It boasts a vibrant culture and has a pleasant climate with an average temperature of 63 degrees.

Screening of applications begins immediately. For full consideration, application materials should be received by January 7, 2019. However, applications will be accepted until the search is completed.

To apply, please visit [7]. Include a cover letter (please include a reference to this position as “CS-IIS”), curriculum vitae, statement of teaching philosophy, research statement, and three letters of recommendation. Direct all inquiries to Corinne O’Connor (cconnor2@memphis.edu).

A background check will be required for employment. The University of Memphis is an Equal Opportunity/Equal Access/Affirmative Action employer committed to achieving a diverse workforce.
Research Associate in Text Mining, University of Manchester, UK

*Employer: University of Manchester
*Title: Research Associate in Text Mining
*Specialty: Text Mining
*Location: Manchester, UK
*Deadline: January 3, 2019
*Date posted: November 27, 2018
*Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

We invite applications for the Research Associate in Text Mining, which is tenable initially for 12 months starting as soon as possible. The post is part of the Discovering Safety Programme funded by Lloyds Register Foundation in collaboration with the Health and Safety Executive. The purpose of this project is to use a combination of text mining and machine learning methods for retrieving and organising textual information pertinent to incident and inspection reports for search and risk classification.

Post Objectives:

1. To develop a search system based on clustering methods.

2. To contribute to development of entity linking for the application.

3. To develop a classification system for risk assessment.

You should have a PhD or equivalent in Computer Science with emphasis in Text Mining and Machine Learning in particular clustering and classification. Experience in named-entity recognition, entity linking and terminology extraction will be desirable. Appropriate security clearance may be required for the successful applicant.

*Salary : £32,236 - £39,609 per annum according to experienc
*Hours Per week: Full Time
*Contract Duration : 01 February 2019 until 31 January 2020

Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16445
Research Fellow in Natural Language Processing and Text Mining, University of Manchester, UK

*Employer: University of Manchester
*Title: Research Fellow in Natural Language Processing and Text Mining
*Specialty: Text Mining
*Location: Manchester, UK
*Deadline: January 3, 2019
*Date posted: November 23, 2018
*Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

We invite applications for the above position to increase the University of Manchester's capacity in Natural Language Processing and Text Mining, which is available immediately for an initial 5 year period leading to an open-ended academic position.

The Research Fellow will further strengthen the research profile of the text mining research group at the University of Manchester and the National Centre for Text Mining. We are looking for an outstanding candidate that has a vision for making a significant impact on natural language processing, text mining research and its applications. The Fellow will be part of the Discovering Safety Programme project funded by Lloyds Register Foundation in collaboration with the Health and Safety Executive. This post is one of the key first posts to be appointed in the Thomas Ashton Institute for Risk and Regulatory Research.

You will join the vibrant research environment of the Text Mining research group at the School of Computer Science and will be a member of the National Centre for Text Mining which is developing cross cutting and innovative approaches for text mining applications using NLP and machine learning.

As a member of the Thomas Ashton Institute, the Fellow will join, and help establish, a multidisciplinary centre of excellence and expertise, which offers an exciting opportunity for ground breaking and excellent research to inform both government regulatory regimes and industry practice.

*Salary : £40,792 to £50,132 per annum dependent upon experience
*Hours Per week: Full Time
*Contract Duration : Starting Immediately until 31 December 2023

Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16448
Associate Research Scientist, UKP Lab, TU Darmstadt

*Employer: UKP Lab, Technische Universität Darmstadt, Germany
*Title: Associate Research Scientist
*Specialty: Interactive Text Analysis and Natural Language Processing Tools
*Location: Darmstadt
*Deadline: December 15, 2018 (or until filled)
*Date posted: November 22, 2018
*Contact: https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist
(PhD-level; for an initial term of two years)

to strengthen the group’s profile in the areas of Interactive Text Analysis and Natural Language Processing Tools. The UKP Lab is an internationally recognized research institute with about 35 team members. We work on various aspects of Natural Language Processing (NLP), with a rapidly developing focus on Interactive Machine Learning. Besides, we provide a range of high-quality open source software packages for interactive and automatic text analysis to research and industry communities and collaborate with both academic and industrial partners.

We ask for applications from candidates in Computer Science with a specialization in Semantic Web Technologies and either Information Retrieval or Natural Language Processing, preferably with expertise in research and development projects, and strong communication skills in English and German.

The successful applicant will work on research and development for interactive text annotation by end-users (researchers, analysts, etc.). This includes neural network-based methods for knowledge graph construction and completion, interactive sequence labeling recommender systems, or semantic information retrieval. We integrate the results in a real-life collaborative text annotation software for large-scale interactive corpus analysis.

Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP and/or ML) systems (frontend and backend), in applying NLP-related Machine Learning-based methods (e.g. learning-to-rank, clustering, etc.), experience with information retrieval systems (e.g. Lucene, Solr, ElasticSearch) and relational databases (SQL), semantic web technologies (e.g. RDF, OWL, SPARQL), and strong programming skills especially in Java. Experience with neural network architectures (e.g. knowledge-base embeddings) and demonstrable engagement in open- source projects are a strong plus.

UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research focus "Data Science” and the Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasize NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals. In 2018, Darmstadt has achieved the first place in the category Cities of the Future in a ranking of German cities.

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please apply under https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/ by December 15, 2018. The positions are open until filled. Later applications may be considered if the position is still open.
Associate Research Scientist, UKP Lab, TU Darmstadt

*Employer: UKP Lab, Technische Universität Darmstadt, Germany
*Title: Associate Research Scientist
*Specialty: Natural language processing
*Location: Darmstadt
*Deadline: December 15, 2018 (or until filled)
*Date posted: November 22, 2018
*Contact: https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist
(PhD- or (Senior-)PostDoc level; for an initial term of two years)

The UKP Lab is an internationally recognized research institute with about 35 team members. We work on various aspects of Natural Language Processing (NLP), with an emphasis on semantic text analysis and generation, argument mining, and interactive machine learning. Besides, we have a strong profile in deep learning for NLP, construction of large-scale benchmarks, or knowledge graphs. We collaborate with a wide range of both academic and industrial partners.

We are looking for candidates in Computer Science with a specialization in Natural Language Processing, preferably with expertise in research and development projects, prior publication experience, and strong communication skills. The research topics of the position may include: NLP in low-research settings, argument mining and retrieval, multimodal content processing, privacy-enhanced NLP as well as machine learning for NLP (deep reinforcement learning, neural network architectures). The successful applicant will work on research and development as part of a team in one of the areas above. We disseminate the results in top venues of the field and as free research software and datasets. The lab offers highly attractive options for personal growth and career development at all levels of the scientific career. Upon interest, additional qualifications in teaching and project management can be acquired.

UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research focus "Data Science” and the Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasize NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals. In 2018, Darmstadt has achieved the first place in the category Cities of the Future in a ranking of German cities.

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please apply under https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/ by December 15, 2018. The positions are open until filled. Later applications may be considered if the position is still open.
Assistant Professor, Department of Linguistics and Translation, University of Montreal

*Employer: Department of Linguistics and Translation, University of Montreal
*Title: Assistant Professor (tenure-track)
*Specialty: Computational linguistics
*Location: Montreal, Canada
*Deadline: December 13, 2018
*Date posted: November 10, 2018
*Contact: Mireille Tremblay <mireille.tremblay.4@umontreal.ca > and https://ling-trad.umontreal.ca

The Département de linguistique et de traduction is seeking applications for a full-time tenure-track position at the rank of Assistant Professor in computational linguistics/natural language processing.

Responsibilities

The appointed candidate will be expected to teach at all three levels of the curriculum, supervise graduate students, engage in ongoing research and publication, and contribute to the academic life and reputation of the University. This person will play an important role in the development of the “Computational Linguistics” branch of our curriculum and in establishing cross-disciplinary collaborations within and outside of the University.

Requirements

*Ph.D. in linguistics, computer science, or a related field.
*Education in both linguistics and computer science, with a strong background in core linguistics.
*Demonstrated interest in using computational techniques in the study of language.
*Ability to teach in at least one of the core domains of linguistics.
*Excellent publication track record in computational linguistics.
*University teaching experience.
*Sufficient knowledge of written and spoken French.

Deadline: until December 13, 2018 inclusively

Treatment: Université de Montréal offers competitive salaries and a full range of benefits.

Starting date: On or after August 1st, 2019

Application

The application must include the following documents:

*a cover letter
*a curriculum vitæ
*copies of recent publications and research

Three letters of recommendation are also to be sent directly to the department chair by the referees.

Application and letters of recommendation must be sent to the chair of the Département de linguistique et de traduction at the following address:

Mireille Tremblay, directrice
Département de linguistique et de traduction
Faculté des arts et des sciences
Université de Montréal
C.P. 6128, succursale Centre-ville
Montréal (QC) H3C 3J7
Canada

Application and letters of recommendation may also be sent by email at the following address: mireille.tremblay.4@umontreal.ca

For more information about the Department, please consult its website at http://ling-trad.umontreal.ca

Université de Montréal is a Québec university with an international reputation. French is the language of instruction. To renew its teaching faculty, the University is intensively recruiting the world’s best specialists. In accordance with the institution’s language policy, Université de Montréal provides support for newly-recruited faculty to attain proficiency in French.

The Université de Montréal application process allows all regular professors in the Department to have access to all documents unless the applicant explicitly states in her or his cover letter that access to the application should be limited to the selection committee. This restriction on accessibility will be lifted if the applicant is invited for an interview.

Through its Equal Access Employment Program, Université de Montréal invites women, Aboriginal people, visible and ethnical minorities, as well as persons with disabilities to apply. During the recruitment process, our selection tools will be adapted to meet the needs of people with disabilities who request it. Be assured of the confidentiality of this information.

Université de Montréal is committed to the inclusion and the diversity of its staff and also encourages people of all sexual and gender identities to apply.

We invite all qualified candidates to apply at UdeM. However, in accordance with immigration requirements in Canada, please note that priority will be given to Canadian citizens and permanent residents.

Software Engineer for Text Mining Applications at the University of Manchester

*Employer: National Centre for Text Mining, School of Computer Science, University of Manchester
*Title: Software Engineer
*Specialty: Text Mining
*Location: Manchester, UK
*Deadline: November 25, 2018
*Date posted: October 25, 2018
*Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

Applications are invited for a Software Engineer post (full time) for a period of 5 years

The successful candidate will be part of the National Centre for Text Mining (http://www.nactem.ac.uk/) which is hosted by the School of Computer Science, joining a strong and dynamic team in text mining. The National Centre for Text Mining provides next-generation text mining services to the community. We use natural language processing techniques to build advanced search systems in a number of domains. We are seeking a self-motivated, creative and experienced software engineer (must have substantive post graduation experience) to enhance our team expertise particularly in the areas of wrapping text mining analysis workflows, software development for search engines bringing the benefits of text mining to end users, Web services, integrating text mining with knowledge bases, cloud deployment of services and advanced user interfaces.

Essential skills and experience include: Linux/unix, extensive experience of software design and development gained in a professional software development environment, experience of producing distributed solutions and of working with large datasets, Java or C++ with XML technologies, REST/SOAP Web services, knowledge of cloud/cluster computing/SaaS/PaaS, Maven.

*Salary : £40,792 to £50,132 per annum dependent upon experience
*Hours Per week: Full Time
*Contract Duration : Starting 1 January 2019 for 5 years

Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16308

Assistant Professor, Department of Linguistics, University of Florida

*Employer: Department of Linguistics, University of Florida
*Title: Tenure-track Assistant Professor
*Specialty: computational language science
*Location: Gainesville, FL 32601
*Deadline: November 18, 2018
*Date posted: October 18, 2018
*Contact: Stefanie Wulff <swulff@ufl.edu> and https://apply.interfolio.com/56557

The University of Florida invites applications for a tenure-track appointment in computational language science at the rank of assistant professor, effective August 16, 2019. This is a 9-month position. Applicants are expected to have a Ph.D. in linguistics, computer science, or a closely-related field. Candidates should have an active research agenda studying language from a computational perspective. Specialization is open, including but not limited to sociolinguistics, neuro/psycholinguistics, corpus linguistics, and/or language documentation. UF Linguistics seeks to train the next generation of linguists who are comfortable integrating and evaluating computational approaches in their research. To this end, ability to teach computationally-oriented courses is required. Candidates must hold the Ph.D. by the starting date.

The successful candidate will be expected to 1) maintain an active research agenda, 2) pursue external research funding, 3) teach two courses per semester at the undergraduate and/or graduate level, 4) provide service to the department, the university, and the profession, and 5) seek collaborations within the department as well as with other units on campus such as the UF Data Science and Information Technology Center, the UF Informatics Institute, or the McKnight Brain Institute.

The Department is committed to creating an environment that affirms diversity and inclusion across a variety of dimensions, including ability, class, ethnicity/race, religion and/or cultural background, gender identity and expression. We particularly welcome applicants who can contribute to such an environment through their scholarship, teaching, mentoring, and professional service. The university and greater Gainesville community enjoy a diversity of cultural events, restaurants, year-round outdoor recreational activities, and social opportunities

Salary is competitive, commensurate with qualifications and experience, and includes a full benefits package.

The Linguistics Department at the University of Florida is a vibrant and congenial unit consisting of 11 full-time faculty and 15 affiliated faculty in the departments of Anthropology; Languages, Literatures, and Cultures; Spanish and Portuguese; and the Dial Center for Written & Oral Communication. We offer a B.A., M.A. and Ph.D. in Linguistics, as well as an undergraduate minor and undergraduate certificate in TESL and a graduate certificate in Second Language Acquisition and Teaching. We have faculty expertise in a wide range of linguistic subfields, and particular strengths in the areas of bilingualism, language documentation, psycholinguistics, sociolinguistics, and African linguistics. Please see our website, lin.ufl.edu, for more information about the department.

For full consideration, applications must be submitted online at https://apply.interfolio.com/56557 and must include: (1) a brief cover letter, (2) a statement of teaching and research interests, (3) a CV, (4) 1-3 sample publications, (5) the names and email addresses for three references, and (6) representative teaching evaluations if available. After initial review, letters of recommendation will be requested for selected applicants. Review of applications will begin on 18 November 2018 and will continue until the position is filled.

All candidates for employment are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education.

The final candidate will be required to provide an official transcript to the department upon hire. A transcript will not be considered "official" if a designation of "Issued to Student" is visible. Degrees earned from an educational institution outside of the United States require evaluation by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/.

The University of Florida is an Equal Opportunity Employer dedicated to building a broadly diverse and inclusive faculty and staff. The University of Florida invites all qualified applicants, including minorities, women, veterans, and individuals with disabilities to apply. The University of Florida is a public institution and subject to all requirements under Florida Sunshine and Public Record laws.
Postdoctoral Researcher, Cognitive AI Lab, University of Arizona

*Employer: School of Information, University of Arizona
*Title: Postdoctoral Research Associate
*Specialty: natural language processing
*Location: Tucson, AZ, USA
*Deadline: Open until filled
*Date posted: October 15, 2018
*Contact: Peter Jansen <pajansen@email.arizona.edu>

Postdoctoral Research Associate I
https://uacareers.com/postings/31213

Position Summary
The Cognitive Artificial Intelligence Laboratory ( http://www.cognitiveai.org ) in the School of Information at the University of Arizona invites applications for a Postdoctoral Research Associate for projects specializing in natural language processing and explanation-centered inference.

Natural language processing systems are steadily increasing performance on inference tasks like question answering, but few systems are able to provide explanations describing why their answers are correct. These explanations are critical in domains like science or medicine, where user trust is paramount and the cost of making errors is high. Our work has shown that one of the main barriers to increasing inference and explanation capability is the ability to combine information – for example, elementary science questions generally require combining between 6 and 12 different facts to answer and explain, but state-of-the-art systems generally struggle integrating more than two facts together. The successful candidate will combine novel methods in data collection, annotation, representation, and algorithmic development to exceed this limitation in combining information, and apply these methods to answering and explaining science questions.

A talk on our recent work in this area is available here: https://www.youtube.com/watch?v=EneqL2sr6cQ

Minimum Qualifications

*A Ph.D. in Computer Science, Information Science, Computational Linguistics, or a related field.
*Demonstrated interest in natural language processing or machine learning techniques.
*Excellent verbal and written communication skills

Duties and Responsibilities

*Engage in innovative natural language processing research
*Write and publish scientific articles describing methods and findings in high-quality venues (e.g. ACL, EMNLP, NAACL, etc.)
*Assist in mentoring graduate and undergraduate students, and the management of ongoing projects
*Support writing grant proposals for external funding opportunities
*Serve as a collaborative member of a team of interdisciplinary researchers

Preferred Qualifications

*Knowledge of computational approaches to semantic knowledge representation, graph-based inference, and/or rule-based systems
*Strong scholarly writing skills and publication record

Full Posting/To Apply
https://uacareers.com/postings/31213
Temporary lecturer, Department of Linguistics, University of California, Santa Barbara

*Employer: Department of Linguistics, University of California, Santa Barbara
*Title: Lecturer
*Specialty: computational linguistics and/or natural language processing and general linguistics
*Location: Santa Barbara, CA 93106
*Deadline: October 24, 2018
*Date posted: September 27, 2018
*Contact: https://recruit.ap.ucsb.edu/apply/JPF01317

The Department of Linguistics at the University of California, Santa Barbara invites applications for a qualified temporary Lecturer to teach course(s) in computational linguistics and potentially general linguistics. To learn more about the department, see: http://www.linguistics.ucsb.edu/

The Lecturer will teach an advanced undergraduate course in computational linguistics in the Winter 2019 or Spring 2019 quarter. The successful candidate may also have the opportunity to teach other courses that support the department’s undergraduate programs, including classes currently listed in the UCSB general catalog and/or special-topic courses proposed by the applicant; these courses may be offered in Winter 2019 or Spring 2019.

Applicants must possess a Master’s Degree in Linguistics and have at least one year teaching college-level linguistics courses. A Ph.D. in Linguistics is preferred but not required. The department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.

To apply, please go to the following link: https://recruit.ap.ucsb.edu/apply/JPF01317. Applicants should submit a curriculum vitae and a cover letter stating their qualifications for teaching computational linguistics as well as any additional courses they may be interested in teaching. Applicants should also provide contact information for three references. To ensure full consideration, all application materials should be received by 10/24/18; however, the position is open until filled.

The University of California is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Assistant Professor, Department of Linguistics, University of California, Santa Barbara

*Employer: Department of Linguistics, University of California, Santa Barbara
*Title: Assistant Professor
*Specialty: computational linguistics and/or natural language processing
*Location: Santa Barbara, CA 93106
*Deadline: November 9, 2018
*Date posted: September 27, 2018
*Contact: https://recruit.ap.ucsb.edu/apply/JPF01310 and complingsearch@linguistics.ucsb.edu

The Linguistics Department of the University of California, Santa Barbara seeks to hire a linguist who is a specialist in computational linguistics and/or natural language processing. The appointment will be a tenure-track position at the Assistant Professor level, effective July 1, 2019.

The successful candidate will have an active research program in computational linguistics and/or natural language processing and will have a record of participation in the computational linguistics/NLP community. Proven expertise in machine learning including word embeddings/vector space semantics is required, as is expertise in using computational linguistics methods to address theoretical and/or applied questions. Capacity to engage with the distinctive theoretical orientation of the department is expected. We welcome applicants with the ability to contribute to departmental foci, such as corpus linguistics, language and cognition, language acquisition, and/or less studied languages. We also encourage applicants who have the potential to interact with colleagues and students across disciplinary boundaries at UCSB.

The successful candidate will demonstrate commitment to and ability in graduate and undergraduate teaching and will be expected to teach a range of graduate and undergraduate courses in computational linguistics, including those with relevance to industry, as well as to contribute to the department’s undergraduate major with an emphasis in Language and Speech Technologies. For more information on the department, see www.linguistics.ucsb.edu.

The minimum requirement to be considered as an applicant is the completion of all requirements for a Ph.D. in linguistics or a closely-related field except the dissertation (or equivalent) at the time of application. A Ph.D. in linguistics or a closely-related field is expected by the time of appointment. Review of applications will begin after Friday, November 9, 2018. The position will remain open until filled.

Applicants must complete the online form at https://recruit.ap.ucsb.edu/apply/JPF01310 and must submit online the following in PDF format: letter of application, statement of research interests, teaching statement, curriculum vitae, and 2 writing samples. Applicants are also encouraged to submit an optional statement on contributions to diversity.

Applicants should request 3-5 letters of reference to be sent directly to https://recruit.ap.ucsb.edu/reference. Inquiries may be addressed to the Search Committee at complingsearch@linguistics.ucsb.edu. Initial screening of selected applicants will be conducted via Zoom. Our department has a genuine commitment to diversity, and is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.

The University of California is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Postdoctoral Fellow, Quantitative Criticism Lab, University of Texas at Austin

*Employer: Quantitative Criticism Lab, University of Texas at Austin
*Title: Postdoctoral Fellow
*Specialty: Digital humanities and natural language processing
*Location: Austin, TX or remote
*Deadline: October 15, 2018
*Date posted: September 7, 2018
*Contact: https://www.nature.com/naturejobs/science/jobs/652327-postdoctoral-fellow

The Quantitative Criticism Lab (QCL; https://www.qcrit.org), a research group developing cross-disciplinary approaches to the study of literature and culture, invites applications for a full-time postdoctoral fellowship. The duration of the fellowship is 18 months, from January 2, 2019 to June 30, 2020. The field of specialization is open, but expertise in computer programming and statistical analysis is essential, as is a deep interest in the study of literature. QCL’s physical lab space is based at The University of Texas at Austin; residence in Austin during the fellowship period is preferred but not required. The fellow will have no teaching responsibilities. The position is funded by a Digital Extension Grant from the American Council of Learned Societies (ACLS).

The ACLS-funded project will produce a web-based suite of tools for traditionally-trained humanists to analyze literary texts in a quantitative manner. The tools are designed with an important class of literary problems in mind, exemplified by the identification of verbal parallels and, at a larger scale, by the individuating of entire works within generic traditions. We take two main approaches: sequence alignment for the detection of verbal resemblance, and stylometry augmented by machine learning for the profiling of texts and corpora. The tools are expected both to enhance traditional modes of literary criticism and to enable novel quantitative analyses of the cultural evolution of literature.

The postdoctoral fellow’s primary responsibilities will be to lead development of these tools and to participate in other aspects of QCL’s research program according to background and interests. The work will involve coding, research design, data analysis, literary criticism, and scholarly writing for diverse venues, as well as various organizational duties related to workshops and conferences. The postdoctoral fellow will work under the supervision of Pramit Chaudhuri (UT Austin) and Joseph Dexter (Dartmouth College), the co-directors of QCL, and will collaborate with a diverse array of scholars, in both academia and industry, affiliated with QCL. In addition, the fellow will be expected to play a major role in mentoring the numerous graduate, undergraduate, and high school students who conduct research with QCL.

A Ph.D. in a computational, statistical, linguistic, or literary field is required. Possible disciplines include (but are not limited to) anthropology, applied mathematics, bioinformatics, classics, comparative literature, computer science, English, evolutionary biology, linguistics, and statistics. Prior experience with any of the following areas is highly desirable but not required: computational linguistics, cultural evolution, digital humanities, literary criticism of a premodern or non-Anglophone tradition (especially Latin or Ancient Greek), machine learning, and natural language processing. By the start date of the position, applicants should either have the Ph.D. in hand or be able to provide certification from their home institution that all degree requirements have been fulfilled. Applicants must have received the Ph.D. within the last three years.

For full consideration, applicants should submit the following materials by October 15, 2018:

*CV;
*Cover letter;
*Short (2-4 page) summary of past and current research interests, giving particular attention to any computational work;
*Writing sample of no more than 40 pages (e.g., article or dissertation chapter).

In addition, applicants should arrange to have three letters of recommendation forwarded by the deadline. Please submit your CV and cover letter on the UT Jobs website: https://utdirect.utexas.edu/apps/hr/jobs/nlogon/180823010712. Please submit the additional materials via email to vnoya@austin.utexas.edu. Questions can be directed to Vanessa Noya at the same address.

The salary will be $48,000 per year, plus benefits.

The successful candidate must be able to begin work in this position by January 2, 2019.

A criminal history background check will be required for finalist(s) under consideration for this position.

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

If hired, you will be required to complete the federal Employment Eligibility Verification form, I-9. You will be required to present acceptable, original documents (https://hr.utexas.edu/current/services/employment-eligibility-verification-i9-docs) to prove your identity and authorization to work in the United States. Information from the documents will be submitted to the federal E-Verify system for verification. Documents must be presented no later than the third day of employment. Failure to do so will result in dismissal.

UT Austin is a Tobacco-free Campus (http://tobaccofree.utexas.edu/).
Associate Research Scientist, UKP Lab, TU Darmstadt

*Employer: UKP Lab, Technische Universität Darmstadt, Germany
*Title: Associate Research Scientist
*Specialty: Natural language processing
*Location: Darmstadt
*Deadline: September 30, 2018 (or until filled)
*Date posted: September 6, 2018
*Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist
(PostDoc- or PhD-level; for an initial term of two years)

This position should further strengthen and develop the profile of the lab in natural language processing (NLP) and related topics such as machine learning, multimodal content analysis, information retrieval, or novel applications of NLP to social sciences and humanities.

Possible areas of research include, but are not limited to:

*interactive clustering and machine learning to extract sets of textual snippets according to multiple criteria, e.g. high-quality and diverse examples illustrating a lexical entry’s usage;
*NLP for low-resource languages, e.g. analyzing discourse-level argumentation in Georgian;
*interactive sequence labeling to support claim validation by experts, e.g. for extracting evidence from corpora;
*joint text and image processing for content classification in social media, e.g. identifying bias;
*analyzing and generating creative language, such as humor, metaphor, or other rhetorical means.

The lab has a strong profile in the above areas, which features robust semantic analysis and textual inference, multimodal content analysis and summarization, and applications of NLP including novel benchmarks and problem definitions. It currently develops a new focus on interactive machine learning and chatbots and conversational agents. The lab closely cooperates with machine learning, computer vision, and data management groups of the Computer Science department. It has a strong industrial network and works together with social sciences and humanities on real-life research problems.

We are looking to attract highly qualified candidates with an outstanding degree in NLP, machine learning, or a related field of Computer Science. The candidates should preferably have research and teaching experience and strong communication skills in English and German (optional). Together with the candidate, we work out an individual career development plan and identify the relevant opportunities for the professional and personal growth within the activities of the lab.

The research environment is excellent. The Department of Computer Science of the TU Darmstadt is regularly one of the top ranked ones among the German universities. Its unique Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG and the BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasize NLP, machine learning and text mining. UKP Lab is a very dynamic research group committed to high-profile research, cooperative work style and close interaction of team members.

Applications should include a detailed CV, a motivation letter, an outline of previous working or research experience and the names of ideally three referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by September 30th, 2018: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The position is open until filled.
Tenure-track and tenure-eligible investigators at the National Library of Medicine, Bethesda, Maryland

*Employer: National Library of Medicine
*Title: Tenure-track and tenure-eligible investigators
*Specialty: Natural Language Processing
*Location: Bethesda, MD, USA
*Deadline: Applications will be accepted until the position is filled.
*Date posted: August 15, 2018
*Contact: Dr. Andy Baxevanis, the Search Chair, <andy@mail.nih.gov>

The National Library of Medicine is currently recruiting for both tenure-track and tenure-eligible investigators in data science, biomedical informatics, and computational biology. Individuals with significant experience in the use of statistical, machine learning, optimization and advanced mathematical methodologies as applied to biomedical and health science are encouraged to apply. Additional details are available by following the links below.

https://www.nlm.nih.gov/careers/jobopenings.html https://www.nlm.nih.gov/careers/jobopening_ncbi_01_20180813.html https://www.nlm.nih.gov/careers/jobopening_ncbi_02_20180813.html

Question-Answering Research Internship at Adobe Research, San Jose, California

*Employer: Adobe Research
*Title: Research Scientist Intern
*Speciality: Question-answering
*Location: San Jose, CA, USA
*Deadline: Applications will be accepted until the position is filled.
*Date posted: July 3, 2018
*Contact: Franck Dernoncourt <dernonco@adobe.com>

We are looking for a PhD student with background in question-answering for a late summer or autumn, ~13-week internship (starting date and length are flexible). We strongly encourage our interns to publish their work to NLP/ML conferences/journals, and as a result we prefer candidates with a strong publication record. International PhD students are welcome to apply. Highly competitive salary. To apply, please send me an email with your CV (e.g., PDF or LinkedIn) as well as the list of your publications (e.g., PDF or link to your Google Scholar profile).
Postdoctoral position in natural language understanding, KU Leuven, Belgium

*Employer: KU Leuven, Belgium
*Title: Postdoctoral researcher
*Specialty: Natural language understanding, machine learning
*Location: Leuven, Belgium
*Deadline: July 31, 2018
*Date posted: June 18, 2018
*Contact: sien.moens@cs.kuleuven.be

We offer a two-year postdoctoral position (extendable to four years) funded by the ERC (European Research Council) Advanced Grant CALCULUS “Commonsense and Anticipation enriched Learning of Continuous representations sUpporting Language UnderStanding” (http://calculus-project.eu). The principal investigator is Prof. Sien Moens. CALCULUS focuses on learning effective anticipatory representations of events and their narrative structures that are trained on language and visual data. The machine learning methods on which CALCULUS will build belong to the family of latent variable models where it will rely on Bayesian probabilistic models and neural networks as starting points. CALCULUS focuses on settings with limited training data that are manually annotated and especially aims at developing novel machine learning paradigms for natural language understanding. CALCULUS also evaluates the inference potential of the anticipatory representations in situations not seen in the training data and for inferring spatial, temporal and causal information in metric real world spaces. The best models for language understanding will be integrated in a demonstrator that translates language to events happening in a 3-D virtual world.

The successful candidate will have an opportunity to work on innovative natural language understanding research such as grounding language meaning into visual perception and translating narrative language into visual events. He or she will be given the opportunity for personal development beyond research, for example by contributing to teaching (e.g., at the undergraduate and graduate levels). For an outstanding candidate there is the potential to grow into an assistant professorship.

Responsibilities

*Perform own research in language understanding and novel machine learning paradigms in the frame of the CALCULUS project.
*Carry out some teaching duties, which may include lectures/exercise sessions, the organisation of student seminars, and the supervision of bachelor and master theses.
*Help in the supervision of PhD researchers of the CALCULUS team.

Prerequisites

*You have (or are near completion of) a PhD in Computer Science (or a related field).
*You have a motivated interest in fundamental research in language understanding and machine learning.
*You are not afraid of creative and original ideas and solutions.
*You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in relevant journals with high impact factor.
*You are good at collaborating with and leading others.
*You work proactively and independently and have good communication skills.
*You have a very good knowledge of English, both spoken and written.
*You are highly motivated, ambitious and result-oriented.

Offer

*We offer a 2 x 2-year postdoctoral position, starting in September 2018 (negotiable).
*We offer a competitive wage and yearly budget to attend conferences and for short research stays.

Interested If interested, send your CV including publication list, motivation letter and two recommendation letters by e-mail to Prof. dr. Sien Moens (sien.moens@cs.kuleuven.be) as soon as possible and the latest by July 31, 2018. For more information please contact Prof. dr. Sien Moens: tel.: +32 16 32 53 83. Excellent candidates will be invited for an interview (possibly via Skype).

The research team

The Language Intelligence & Information Retrieval (LIIR) lab (https://liir.cs.kuleuven.be) of KU Leuven, Belgium is part of the Human Computer Interaction (HCI) unit in the Department of Computer Science. The members of the lab are especially interested in natural language processing and understanding, multimedia mining, machine learning and information retrieval. They study well-informed theoretical models as well as challenging applications, often empowered by big data sets. They investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. LIIR has a special interest in statistical multimodal representation learning where we explore the complementarity of language and visual data. The developed technologies are, among others, applied in the domains of bioinformatics, business intelligence, e-commerce analytics, electronic message filtering, news search and mining, user generated content mining, and World Wide Web mining and search, and contribute to the field of data science in these areas. Through its collaborations LIIR connects to other disciplines including speech processing, computer vision, data mining, artificial intelligence, cognitive science, and human-computer interaction.

The university

KU Leuven is situated in a historic university town close to Brussels, the capital of Europe. It features an excellent Computer Science department providing a stimulating research environment. All programmes at this university are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!
Postdoctoral position in multilingual text mining, KU Leuven, Belgium

*Employer: KU Leuven, Belgium
*Title: Postdoctoral researcher
*Specialty: Text mining, machine learning
*Location: Leuven, Belgium
*Deadline: July 31, 2018
*Date posted: June 18, 2018
*Contact: sien.moens@cs.kuleuven.be

We offer a two-year postdoctoral position funded by the EU ITEA3 project PAPUD "Profiling and Analysis Platform Using Deep Learning” (https://itea3.org/project/papud.html). The principal investigator is Prof. Sien Moens. The scope of the project is to build a universal model for data analytics using deep learning in order to help today’s businesses to make sense out of data. The postdoctoral position focuses on multilingual text mining and more specifically on interlingual content representations and methods of transfer learning with applications in multilingual topic modelling, content classification (e.g., opinion and argumentation mining) and question answering. The candidate will perform cutting-edge artificial intelligence research in the context of a European consortium composed of renowned academic and industrial partners.

Responsibilities

*Design and develop machine learning methods for multilingual text mining.
*Carry out some teaching duties, which may include lectures/exercise sessions, the organization of student seminars, and the supervision of bachelor or master theses.

Prerequisites

*You have (or are near completion of) a PhD in Computer Science (or a related field).
*You have a motivated interest in and knowledge of text mining and machine learning, including probabilistic graphical models and deep learning.
*You have a solid track record of publications in relevant international peer-reviewed A ranked conferences and journals.
*You have a profound interest in collaborating with the industry on applications of text mining and willing to contribute to a deep learning text analytics platform.
*You have a very good knowledge of English, both spoken and written.
*You are highly motivated, ambitious and result-oriented.

Offer

*We offer a two-year postdoctoral position, starting in September 2018 (negotiable).
*We offer a competitive wage and yearly budget to attend conferences.

Interested

If interested, send your CV including publication list, motivation letter and two recommendation letters by e-mail to Prof. dr. Sien Moens (sien.moens@cs.kuleuven.be) as soon as possible and the latest by July 31, 2018. For more information please contact Prof. dr. Sien Moens: tel.: +32 16 32 53 83. Excellent candidates will be invited for an interview (possibly via Skype).

The research team

The Language Intelligence & Information Retrieval (LIIR) lab (https://liir.cs.kuleuven.be) of KU Leuven, Belgium is part of the Human Computer Interaction (HCI) unit in the Department of Computer Science. The members of the lab are especially interested in natural language processing and understanding, multimedia mining, machine learning and information retrieval. They study well-informed theoretical models as well as challenging applications, often empowered by big data sets. They investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. LIIR has a special interest in statistical multimodal representation learning where we explore the complementarity of language and visual data. The developed technologies are, among others, applied in the domains of bioinformatics, business intelligence, e-commerce analytics, electronic message filtering, news search and mining, user generated content mining, and World Wide Web mining and search, and contribute to the field of data science in these areas. Through its collaborations LIIR connects to other disciplines including speech processing, computer vision, data mining, artificial intelligence, cognitive science, and human-computer interaction.

The university

KU Leuven is situated in a historic university town close to Brussels, the capital of Europe. It features an excellent Computer Science department providing a stimulating research environment. All programmes at this university are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!
PhD positions in DFG Graduate School AIPHES, TU Darmstadt

*Employer: DFG Graduate School AIPHES, Technische Universität Darmstadt, Germany
*Title: Doctoral researcher
*Specialty: deep learning, summarization
*Location: Darmstadt
*Deadline: June 27, 2018
*Date posted: June 18, 2018
*Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The Research Training Group “Adaptive Information Preparation from Heterogeneous Sources” (AIPHES), which has been established in 2015 at Technische Universität Darmstadt and at Ruprecht Karls University Heidelberg is filling two positions for three years, starting as soon as possible, located in Darmstadt and associated with UKP Lab (Prof. Iryna Gurevych). Positions remain open until filled. The positions provide the opportunity to obtain a doctoral degree with an emphasis in natural language processing tasks such as structured summaries of complex contents, abstractive summarization, or a related area. Applicants should be willing to work on cross-lingual, cross-modality and domain-independent methods. Prior experience in transfer learning, multi-task learning, adversarial learning, deep reinforcement learning or related methods is a plus.

The goal of AIPHES is to conduct innovative research in knowledge acquisition on the Web in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, computer vision, and data and information management will be developed. AIPHES investigates a novel, complex scenario for information preparation from heterogeneous sources. It interacts closely with end users who prepare textual documents in an online editorial office, and who should therefore benefit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.

AIPHES emphasizes close contact between the students and their advisors with regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. Participating research groups at Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Claudia Schulz), Machine Learning (Prof. Kersting), Visual Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at Ruprecht Karls University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of the Heidelberg Institute for Theoretical Studies (HITS). AIPHES strives to publish its results at leading scientific conferences and is actively supporting its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.

Prerequisites

We are looking for exceptionally qualified candidates with a degree in Computer Science, Machine Learning, NLP, or a related study program. We expect the ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Prior experience in scientific work is a plus. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

The research environment is excellent. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. UKP Lab is a highly dynamic research group committed to top-level conferences, technologies of the highest standards, cooperative work style and close interaction of team members. Its BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasizes NLP, machine learning and text mining. The large-scale argument mining project allows searching large document collections in response to a user-defined topic: neural networks determine relevant pro and con arguments in real-time, and represent them in a concise summary.

Applications should include a motivational letter that refers to one of the planned research areas of AIPHES, a CV with information about the applicant’s scientific work, certifications of study and work experience, as well as a thesis or other publications in electronic form. Application materials must be submitted via the following form by June, 27th, 2018:

https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/

In addition, applicants should be prepared to solve a programming and a reviewing task in the first two weeks after their application.
Postdoc position: Bocconi University, Milan

*Employer: Bocconi University
*Title: Postdoctoral Researcher
*Location: Milan, Italy
*Deadline: June 22nd, 2018, 5 p.m.  
*Starting date: as early as possible, but no later than September 2018
*Duration: 1 year  
*Date Posted: June 18, 2018
*Contact: Paola Cillo (paola.cillo@unibocconi.it)
*URL: https://bit.ly/2JW2tKZ (select the Gucci Lab call)

Gucci Research Lab (GRL) is a unique partnership between Bocconi University and Gucci to identify and study the trends that define the way in which organizations are evolving. This position is part of a larger project by the Gucci Lab at Bocconi on the effects of a change in a firm’s leadership positions on the firm’s culture and its performance. Part of the project involves the textual analysis of internal documents (e.g., emails), before and after the leadership change. To provide an example, textual analysis of these documents will be conducted to identify power relationships within the organization and study how they evolved over time.

REQUIREMENTS/QUALIFICATIONS  

The successful candidate will work actively on novel directions in deep learning, multi-task learning, and neural networks.  The candidate is expected to have:

*a Ph.D. or equivalent in Computer Science, Computational Linguistics/NLP, Mathematics or related fields.
*Good programming skills in Python.
*Fluent English. Knowledge of other languages is more than welcome.  Knowledge of Italian is NOT a requirement.
*Knowledge of current neural network models, especially Word2Vec and Doc2Vec, and tools for neural networks (e.g. Tensorflow, Keras, PyTorch, etc.).
*Publications in top-tier venues in the field of Computational Linguistics.
*Experience in Ph.D. student supervision is a plus.
*Salary: 43,310.50 euros per annum

HOW TO APPLY  

The application must be sent to Faculty and Research Division of Bocconi University (addressing the Rector) just via email at recruiting_ricerca@unibocconi.it You can find more information about the project and call here: https://bit.ly/2t1DnAO
Postdocs: Johns Hopkins University

*Employer: Johns Hopkins University
*Title: Postdoctoral Researcher
*Location: Baltimore, MD
*Deadline: Applications will be accepted until positions are filled
*Date Posted: June 6, 2018
*Contact: clspsearch@clsp.jhu.edu
*URL: https://www.clsp.jhu.edu/employment-opportunities/

The Center for Language and Speech Processing (CLSP) at the Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech, natural language processing and machine learning. Applicants must have a Ph.D. in a relevant discipline and a strong research record.

The center has a number of postdoctoral positions available. A single application will be considered for all open positions (except for one position as noted below). You need not indicate a specific position, but you may include a strong preference in an optional cover letter.

Example topics include:

*Cross-lingual Information Retrieval
*Trend Detection in Social Media
*Social Media and Mental Health
*Analysis of Clinical Medical Text
*Broadly Multilingual Learning of Morphology and Low-Resource Machine Translation
*NLP and Machine Learning for Clinical Data Analysis

Johns Hopkins University is a private university located in Baltimore, Maryland. The campus provides easy access to a number of affordable and vibrant neighborhoods and waterfront dining options. Hopkins is also connected to Washington DC (40 mins), Philadelphia (1.5 hours) and New York city (2.5 hours) via direct trains and buses.

CLSP is one of the world’s largest academic centers focused on speech and language. CLSP is home to a dozen faculty members, half a dozen postdocs, and over 60 graduate students. It has a history of placing students in top academic and industry positions, with a large network of alumni at Google, Amazon, Microsoft Research, Bloomberg, IBM Research, Facebook, Twitter, Nuance, BBN, and numerous startups.

Applicants are not required to be to US citizens or permanent residents.

Questions about specific projects should be directed to the contact information associated with the project. General inquiries may be sent to clspsearch@clsp.jhu.edu.

Details and application information: http://www.clsp.jhu.edu/employment-opportunities/

Research Fellow in Software Engineering with a Focus on Natural Language Processing at University of Tartu, Estonia

*Employer: University of Tartu, Institute of Computer Science, Software Engineering group
*Title: Research Fellow
*Speciality: Software engineering, machine learning, natural language processing
*Location: Tartu, Estonia
*Deadline: June 4, 2018
*Date posted: May 21, 2018
*Contact: Dietmar Pfahl, Kairit Sirts (<firstname>.<lastname>@ut.ee)

Postdoctoral position
Applications are invited for a position of Research Fellow at the Software Engineering and Information Systems Research Group, Institute of Computer Science, University of Tartu. The institute is the leading Computer Science department in the Baltics and is one of the top-2 in Central and Eastern European universities according to the field-specific Times Higher Education Ranking 2017. The Software Engineering and Information Systems group conducts research in the fields of data-driven software engineering decision support, business process management, and secure information systems design. The group is composed of 25 members, including 12 PhD students. The group places a strong emphasis on research excellence and quality of its research publications. The institute has strong ties with the local industry and manages a portfolio of half a dozen research projects in cooperation with industry partners.

The successful candidate will conduct research in the field of data-driven software engineering decision support, within a team that brings together researchers specialized in software analytics, software evolution, software quality assurance, agile development methods, data mining and natural language processing. The research fellow will be expected to contribute to ongoing research projects which aim at exploiting advanced data science methods in one or more of the following application domains:

*open innovation,
*energy-efficient software development,
*software testing.

The research to be conducted is interdisciplinary. In particular, we will be closely collaborating with the natural-language processing group to leverage their expertise on analyzing unstructured data.

Requirements
Candidates must have a PhD in Computer Science or a related discipline. Expertise in at least one of the following topics is essential: software testing, static code analysis, software evolution/maintenance, machine learning. Experience in developing research prototypes and working in collaborative research projects is desirable. The position is not term-limited. Funding is already secured for the first two years of the appointment. The continuation of the position after the first two years will depend on further funding. Remuneration will be up to 2400 euros/month. Estonia applies a flat income tax of 20% on salaries and provides public health insurance for employees.

The expected start date is 1 September 2018, but a later start date can be negotiated.

The deadline for applications is 4 June 2018. The application procedure is outlined in the official advertisement at the University's website.
Postdoctoral research positions in cybersecurity, natural language processing, and experimental social psychology at SUNY Albany

*Employer: University at Albany, Research Foundation of the State University of New York, ILS Institute
*Title: Postdoctoral researcher
*Speciality: Cybersecurity, natural language processing, machine learning, experimental design
*Location: Albany, New York, USA
*Deadline: July 31, 2018
*Date posted: May 18, 2018
*Contact: Tomek Strzalkowski (tomek {at} albany.edu)

Postdoctoral positions

*The Personalized AutoNomous Agents Countering Social Engineering Attacks (PANACEA) Project. The PANACEA Project is a joint effort of communication and computer science faculty at the University at Albany, SUNY, as well as researchers at other institutions. The project aims to design, develop, and evaluate an automated system that will protect online users against current and future forms of social engineering attacks. The system will serve as an intermediary between attackers (human, automated, hybrid, coordinated) and the potential victims they target by addressing and eliminating human vulnerabilities in current cyber defense capabilities. The objectives of the project include detection and classification of social engineering attacks as well as active defenses, including engaging and identifying of the attackers.
*The Computational Ethnography from Metaphors and Polarized Language (COMETH) Project. The COMETH project is a joint effort of computer science and psychology faculty at the University at Albany. The project aims to develop and validate novel computational methodology for automatically acquiring cultural models that represent the worldviews of communities and subcultures operating within the larger society. These models will be obtained using advanced natural language processing and machine learning techniques on data from online media outlets produced by different communities. The objectives of this research include (a) capturing prevalent community attitudes (sentiment and beliefs) toward key concepts such as government, rights, economic inequality, etc.; (b) showing how these attitudes evolve over time, including in response to external influences (e.g., national or international events); and (c) explaining how this system of attitudes acts like an interpretive and defensive tool by allowing the community to reject or distort incoming information.

Requirements for the PANACEA position
For the PANACEA project, we seek a postdoctoral researcher to join our interdisciplinary team. The candidate must have a Ph.D. in Computer Science from an accredited college or university that was granted within the last 3 years, and evidence of advanced scholarly research in a relevant field. This position starts September 1, 2018.

*The candidates are expected to have the following skills: in-depth knowledge of current issues and methods in cybersecurity, natural language processing, socio-behavioral computing, human-computer dialogue, statistical methods of data analysis, and machine learning. Familiarity with empirical method of data collection and model validation is preferred. Programming expertise is essential including substantial experience with Java, Python, and C++ programming environment, as well as with Windows, Linux and Unix platforms. Linguistic background and familiarity with methods of conversational analysis is a plus.

Requirements for the COMETH positions
For the COMETH project, we seek two postdoctoral researchers: one in computer science and one in psychology. The candidates must have a Ph.D. in Computer Science or Psychology from an accredited college or university that was granted within the last 3 years, and evidence of advanced scholarly research in a relevant field. These positions start December 1, 2018.

*The computer science candidates are expected to have the following skills: in-depth knowledge of current issues and methods in natural language processing, data science, domain modeling, socio-behavioral computing, statistical methods, and machine learning. Familiarity with empirical method of data collection and model validation is preferred. Programming expertise is essential including substantial experience with Java, Python, and C++ programming environment, as well as with Windows, Linux and Unix platforms. Linguistic background and familiarity with sentiment analysis and metaphor extraction is a plus.
*The psychology candidates are expected to have following skills: substantial experience with experimental design and advanced statistical methods in experimental social psychology, and knowledge of political psychology. Experience with open science and pre-registration of research protocols will be beneficial.

Overall Requirements

*For all postdoctoral researchers: duties include advanced research and development under the direction of the project faculty, report preparation and coordination of work of graduate student assistants. Ability to execute substantial tasks within large projects in timely fashion is essential. Candidates must also address in their applications, their ability to work with a culturally diverse population.

The postdoctoral researcher appointment review will begin immediately and will close once filled. The successful candidates will be located in the Institute for Informatics, Logics, and Security Studies at the University at Albany, SUNY. The appointment is for 40 hours a week, initially for 12 to 18 months, and potentially extendible for up to 48 months, depending on the project. Expected start dates are September 1, 2018 and December 1, 2018, pending funding approval from the Federal Government sponsor. The salary is commensurate with experience.

How to Apply

Interested individuals should direct inquiries and submit a cover letter, resume, and three letters of reference to: Prof. Tomek Strzalkowski, Director ILS Institute, University at Albany, tomek {at} albany.edu
Two PhD positions in deep learning for natural language understanding and summarisation at Idiap, Switzerland

*Employer: Idiap Research Institute, Natural Language Understanding group
*Title: Two PhD positions
*Speciality: Natural Language Understanding, Summarisation, Machine Learning
*Location: Martigny, Switzerland
*Deadline: May 31, 2018
*Date posted: April 30, 2018
*Contact: James Henderson (james.henderson@idiap.ch)

Two PhD positions

The Idiap Research Institute seeks qualified candidates for two PhD student position in the field of natural language understanding, developing deep learning methods for textual entailment and opinion summarisation.

The research will be conducted in the framework of the Swiss NSF funded project Learning Representations of Abstraction for Opinion Summarisation. One of the successful candidates will investigate modelling abstraction relationships between texts (textual entailment), and the other will investigate summarising large collections of opinions (opinion summarisation). Opinion summarisation must abstract away from the details of individual opinions to find consensus statements which are entailed by a significant proportion of opinions.

This project will model these natural language understanding tasks through fundamental advances in representation learning and deep learning architectures. The work will start from Dr. Henderson's work on modelling abstraction in deep learning architectures, where learned vectors represent entailment rather than the usual similarity. Successes in the unsupervised learning of word vectors for entailment will be extended to deep learning architectures for the compositional semantics of texts. Methods for finding the intersection of information in vectors will be extended to clustering texts by their shared content and generating abstract summaries.

The ideal PhD candidate should hold a Master degree in computer science, computational linguistics or related fields. She or he should have a background in machine learning, optimisation, or natural language processing. The applicant should also have strong programming skills.

The successful PhD candidates will join the Natural Language Understanding group at Idiap, under the supervision of Dr. James Henderson. They will also become doctoral students at EPFL conditional on parallel application to, and acceptance by, the EPFL Doctoral School. Appointment for the PhD position is for a maximum of 4 years, provided successful progress, and should lead to a dissertation. Annual gross salary ranges from 47,000 Swiss Francs (first year) to 50,000 Swiss Francs (last year). Starting date is to be negotiated, within 2018. All queries related to the advertised position can be sent to Dr. James Henderson (james.henderson@idiap.ch).

Please apply online here: http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710241%27%7D

Idiap

Idiap is an independent, not-for-profit, research institute funded by the Swiss Federal Government, the State of Valais, and the City of Martigny. It is located in a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and offering exceptional quality of life, exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. It is within close proximity to Lausanne and Geneva. Idiap is an equal opportunity employer and is actively involved in the "Advancement of Women in Science" European initiative.

2 postdoctoral research positions in text mining and natural language understanding at KU Leuven, Belgium

*Employer: KU Leuven, Department of Computer Science, Language Intelligence and Information Retrieval lab
*Title: Postdoctoral researcher
*Speciality: Text mining, natural language understanding, machine learning
*Location: Leuven, Belgium
*Deadline: May 21, 2018
*Date posted: April 23, 2018
*Contact: Sien Moens (sien.moens {at} cs.kuleuven.be)

Postdoctoral positions

*Postdoctoral position on the topic of multilingual text mining. The goal is to build interlingual representations that allow multilingual topic modelling, content classification (e.g., opinion and argumentation mining) and question answering. This postdoctoral position will be funded by the EU ITEA3 grant PAPUD and offers a contract for two years. The position will start as soon as possible.
*Postdoctoral position on the topic of multimodal representation learning. The goal is to learn continuous representations that represent language grounded in visual perception (static images and video), assist in the design of novel machine learning architectures, and investigate suitable data structures for real-time search of the representations. This postdoctoral position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS and offers a contract for two years (with the possibility of renewal for another two years). The position will start September 1, 2018.

Requirements

*PhD in computer science or equivalent.
*Motivated interest in and preferably knowledge of (as demonstrated by publications in highly recognized venues such as ACL, EMNLP, ICML, NIPS, etc.) of natural language processing and machine learning, including deep learning and learning of latent variable models. For the second postdoctoral position, interest or experience in semantic hashing is a plus.

The successful candidates will have an opportunity to work on cutting-edge natural language processing, multimedia processing and machine learning research. He/she will be given the opportunity for personal development beyond research, for example by contributing to departmental teaching at the undergraduate and graduate levels. KU Leuven is an institution for research and education with international appeal. All programmes at this University are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!
2 PhD positions in natural language understanding at KU Leuven, Belgium

*Employer: KU Leuven, Department of Computer Science, Language Intelligence and Information Retrieval lab
*Title: PhD researcher
*Speciality: Natural language understanding, machine learning
*Location: Leuven, Belgium
*Deadline: May 21, 2018
*Date posted: April 23, 2018
*Contact: Sien Moens (sien.moens {at} cs.kuleuven.be)

PhD positions

*PhD position on the topic of multimodal representation learning trained on language and visual data. The goal is to learn continuous representations of language grounded in visual data (static images and video) including the design, implementation and evaluation of novel machine learning architectures that capture textual as well as visual grammars. The learned representations will serve as commonsense knowledge in language understanding tasks. This PhD position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS. The position starts September 1, 2018.

*PhD position on the topic of semantic parsing of natural language sentences and discourse. The goal is to learn compositional models that take into account continuous representations of objects, their attributes and likely relationships. An additional focus is on using the compositional models to efficiently parse language in real-time. This PhD position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS. The position starts September 1, 2018.

Requirements

*Master degree in computer science or equivalent.
*Motivated interest in and preferably knowledge of (as demonstrated in master thesis or master course work) of natural language processing, machine learning, including deep learning and learning of latent variable models, semi-supervised machine learning, and constrained optimization.

The successful candidates will have an opportunity to work on cutting-edge natural language processing, multimedia processing and machine learning research. He/she will be given the opportunity for personal development beyond research, for example by contributing to departmental teaching at the undergraduate and graduate levels. KU Leuven is an institution for research and education with international appeal. All programmes at this University are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!
Associate Research Scientist (NLP, machine learning and text mining), TU Darmstadt

*Employer: UKP Lab, Technische Universität Darmstadt, Germany
*Title: Associate Research Scientist
*Specialty: NLP, machine learning, text mining
*Location: Darmstadt
*Deadline: March 28, 2018
*Date posted: March 19, 2018
*Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist (PostDoc- or PhD-level; for a term of three years with an extension option)

This position is intended to strengthen the profile of the lab in a research area within natural language processing (NLP), machine learning and text mining, such as word-/sentence-/discourse-level semantics, robust textual inference, and the applications of the above in higher-level NLP, such as QA, text summarization, argument mining, etc. The lab closely cooperates with the groups in machine learning, computer vision, and interactive data analytics of the Computer Science department and many other research labs and companies. Besides, the lab conducts research projects in close cooperation with the users in the humanities and social sciences.

We ask for applications from highly qualified candidates with a specialization/PhD in NLP/Text Mining, preferably with relevant research and teaching experience and strong communication skills in English and German (optional). Individual career development plans can be worked out. E.g. the successful candidate will contribute to research activities described above and – based on the previous experience and qualifications – will be given an opportunity to grow, i.e. to teach courses, co-supervise PhD students, and manage research projects. Outstanding candidates (at M.Sc.-level, without a PhD) are invited to apply and can be considered for a PhD-level position with an adjusted scope of responsibilities. The position being filled is based on the university funds.

The research environment is excellent. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones among the German universities. Its unique Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG and the BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasize NLP, machine learning and text mining. UKP Lab is a highly dynamic research group committed to top-level conferences, technologies of the highest standards, cooperative work style and close interaction of team members.

Applications should include a detailed CV, a motivation letter, an outline of previous working or research experience and the names of three referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the application form by March 28, 2018. The position is open until filled.
PhD positions in DFG Graduate School AIPHES, TU Darmstadt: Natural Language Processing and Machine Learning

*Employer: Technische Universität Darmstadt
*Title: Doctoral researcher
*Speciality: Natural Language Processing and Machine Learning
*Location: Darmstadt
*Deadline: April 3, 2018
*Date posted: March 19, 2018
*Contact: AIPHES recruitment form

The Research Training Group "Adaptive Information Preparation from Heterogeneous Sources" (AIPHES), which has been established in 2015 at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling two positions for three years, starting as soon as possible, located in Darmstadt and associated with UKP Lab (Prof. Iryna Gurevych). Positions remain open until filled.

The positions provide the opportunity to obtain a doctoral degree with an emphasis in natural language processing tasks such as structured summaries of complex contents, in content selection and classification enhanced by reasoning, or a related area.

The goal of AIPHES is to conduct innovative research in knowledge acquisition on the Web in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, computer vision, and automated quality assessment will be developed. AIPHES will investigate a novel, complex scenario for information preparation from heterogeneous sources. It interacts closely with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.

AIPHES emphasizes close contact between the students and their advisors with regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. Participating research groups at Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Claudia Schulz), Machine Learning (Prof. Kersting), Visual Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at Ruprecht Karls University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of the Heidelberg Institute for Theoretical Studies (HITS). AIPHES strives to publish its results at leading scientific conferences and is actively supporting its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.

Prerequisites

We are looking for exceptionally qualified candidates with a degree in Computer Science, Machine Learning, NLP, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Prior experience in scientific work is a plus. Applicants should be willing to work on lesser-resources languages, e.g. German, and, if necessary, to acquire basic German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

The research environment is excellent. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. UKP Lab is a highly dynamic research group committed to top-level conferences, technologies of the highest standards, cooperative work style and close interaction of team members. Its BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasizes NLP, machine learning and text mining. The large-scale argument mining project allows searching large document collections in response to a user-defined topic: neural networks determine relevant pro and con arguments in real-time, and represent them in a concise summary.

Applications should include a motivational letter that refers to one of the planned research areas of AIPHES, a CV with information about the applicant’s scientific work, certifications of study and work experience, as well as a thesis or other publications in electronic form. Application materials must be submitted via the following form by April 3rd, 2018: https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/

In addition, applicants should be prepared to solve a programming and a reviewing task in the first two weeks after their application.
Tenure track at IDSIA (Switzerland) in Natural Language Understanding and Text Mining

*Employer: IDSIA (www.idsia.ch)
*Title: Tenure track
*Specialty: Natural Language Understanding and Text Mining
*Location: Lugano, Switzerland
*Deadline: March 31th, 2018 (start date flexible)
*Date posted: March 16, 2018
*Contact email: Giorgio Corani (giorgio.corani@supsi.ch)

Project Description
The person hired on this position will evenly share her/his working time on two main activities:

*Basic research, aiming at publications in highly rated journals and international conferences;
*Applied research, collaborating with industrial partners in cutting-edge projects.

A further cross-activity will be contributing to search for funding opportunities of both basic and applied research.

The involved research area regards natural language understanding (probabilistic language modeling, keyword extraction, text summarization), text mining (text classification, word embedding, topic models) and semantic analysis of the text.

Requirements

*The position is for a young researcher who has already obtained a PhD on a topic relevant to Natural Language Processing and/or Text Mining;
*Master in informatics or other areas with strong emphasis on computation;
*Excellent programming skills and deep knowledge of libraries for natural language processing;
*Communication and collaboration skills.
*Proficiency in written and spoken in English.

Optional but preferential

*Strong publications record;
*Capability of leading projects carried out with industrial partners on automatic analysis of documents;
*Good knowledge of machine learning algorithms and tools;
*Good knowledge of written and spoken Italian, or willingness to learn it in short times.

We offer

*A tenure track position (degree of occupancy 100%)
*International working environment;
*Collaboration with a strong team of researchers in Machine Learning and Statistics (our publication record is available at: [8]);
*Salary starting from 80,000 CHF / year (about 84,000 $/year)

Application
Applicants should submit the following documents, written in English:

*curriculum vitae
*list of exams and grades obtained during the Bachelor and the Master of Science;
*list of three references (with e-mail addresses);
*brief statement on how their research interests fit the topics above (1-2 pages);
*publications list and possibly link to the thesis.

Applications should be submitted through the Application website
Postdoctoral position in Psychology at University of Pennsylvania

*Employer: University of Pennsylvania
*Title: Postdoctoral Researcher
*Specialty: Computational Linguistics
*Location: Philadelphia, Pennsylvania
*Deadline: March 20th, 2018 (start date flexible)
*Date posted: February 27, 2018
*Contact email: Sudeep Bhatia (bhatiasu@sas.upenn.edu)

Project Description
The researcher will study how word embeddings and related techniques can be used to model how people represent objects and events, and, in turn, predict human probability judgment, event forecasting, social judgment, risk perception, and consumer behavior.

Requirements
Candidates should have completed (or should be about to complete) a PhD in Computer Science, Psychology , Cognitive Science, or related fields, and should be interested in applying natural language processing to address questions in Psychology, Policy, Economics, and Marketing. Applicants should have graduate-level expertise in natural language processing and machine learning.

Additional Details
The position will be based in the Psychology department at the University of Pennsylvania, and will be supervised by Sudeep Bhatia. Lyle Ungar will serve as a second advisor. The postdoctoral researcher will also be encouraged to interact with the broader intellectual community at Penn. The appointment is expected to begin Sept 1, 2018 (start date is flexible). The term of hiring is one year, renewable for up to one additional year. The position is full time and there are no teaching or administrative responsibilities.

How to Apply
Applications for the positions must be submitted by March 20th, 2018, to ensure full consideration. However, review of applications will continue until the position is filled. Applicants should email a curriculum vitae and contact information for two references to Sudeep Bhatia at bhatiasu@sas.upenn.edu.
Postdoctoral Research Scientist: Computational Linguistics - Rochester Institute of Technology

*Employer: Rochester Institute of Technology
*Title: Postdoctoral Research Scientist
*Specialty: Postdoctoral Research Scientist: Computational Linguistics
*Location: Rochester, New York, United States
*Deadline: Open until filled
*Date posted: February 17, 2018
*Contact: Cecilia O. Alm (coagla@rit.edu)
*Job listing

We invite applications for an interdisciplinary postdoctoral position with specialization in computational linguistics and/or technical or scientific methods in language science at Rochester Institute of Technology (RIT), in Rochester, NY. This is a one-year position with opportunity for renewal. The applicant should demonstrate a fit with our commitment to collaborate with colleagues across the university on research initiatives in Personalized Healthcare Technology. In addition to engaging in research projects, the right candidate will be able to teach a total of two courses per year - one course each in the College of Liberal Arts and the Golisano College of Computing and Information Sciences at RIT. The teaching assignment may be Computer Science Principles, Introduction to Language Science, Language Technology, Introduction to Natural Language Processing, Science and Analytics of Speech (acoustic and experimental phonetics), Spoken Language Processing (automatic speech recognition and text-to-speech synthesis), Seminar in Computational Linguistics, or another course depending on background.

Required Minimum Qualifications:

*PhD., with training in Computational Linguistics, Linguistics, or an allied field
*Advanced graduate coursework in computational linguistics (natural language processing or speech processing), linguistics, or language science broadly
*Publication record and plan for research and grant seeking activities
*Ability to contribute in meaningful ways to our commitment to cultural diversity, pluralism, and individual differences

Required Application Documents:
Cover Letter, Curriculum Vitae or Resume, List of References, Research Statement

How To Apply:
Please apply at: http://careers.rit.edu/staff. Click the link for search openings and in the keyword search field, enter the title of the position or 3599BR.
Postdoctoral Research Fellow: Automated Text Analysis - University of Michigan

*Employer: University of Michigan
*Title: Research Fellow
*Specialty: Postdoctoral Research Fellow: Automated Text Analysis
*Location: Ann Arbor, Michigan, United States
*Deadline: March 12, 2018, desired start June 2018
*Date posted: February 12, 2018
*Official Job Listing - Application Page

How to Apply
A cover letter is required for consideration for this position and should be included as the first page of your CV. The cover letter should outline your specific interest in the position and outline skills and experience that directly relates to this position.

Job Summary
A generously funded project (2016-2021) welcomes applicants with interest in and expertise in automated text analysis. The project, M-Write, brings together researchers from writing studies, the natural sciences, and computer programming to investigate how Writing-to-Learn pedagogies promote conceptual learning by students in large-enrollment gateway courses. Students write in response to carefully crafted assignments, participate in automated peer review, and then revise their drafts. Approximately 10,000 students have already participated in M-Write courses, which means that there is already a large corpus of student writing and peer review responses, with more being added each semester. We seek a specialist in automated text analysis to join the research team. Goals include principled corpus compilation, analysis, and development of corpus-driven algorithms to support student learning of key concepts highlighted in assignments.

This position will be a 12-month Post-Doctoral Fellowship beginning in June 2018 with possibility of renewal. The salary is negotiable.

Responsibilities

*Retrieve and create corpora for NLP and associated linguistic analysis
*Develop and test systems for identifying students who appear to lack key concepts as defined by lexical and grammatical structures, discourse analysis, and possible sentiment analysis
*Design a data warehouse that will facilitate the ability to collect, manage, and archive data including student interviews, student surveys, student writing samples, and academic and demographic data for students in order to conduct research leading to peer-reviewed publications, and future external funding
*In collaboration with other project staff collect, manage, and archive data including student interviews, student surveys, student writing samples, and academic and demographic data for students in order to conduct research that could lead to peer-reviewed publications
*Organize, synthesize, and analyze project data, and write co-authored papers with project PIs for peer-reviewed articles

Required Qualifications
Ph.D. in computational linguistics, natural language processing, machine learning, cognitive linguistics, sentiment analysis or related area. Previous research experience in textual analysis in terms of syntax (e.g. parts of speech tagging), semantics (e.g. topic segmentation) and discourse analysis is essential. Research in statistical modeling is also required. Strong computer science skills are essential, and data warehouse design skills are highly desired. Background in the theory and research of writing-to-learn pedagogies and experience with educational technology in natural language processing are desired but not required.

Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act.

U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.

CU Boulder: Postdoc in Machine Learning with an Emphasis on Speech and Language Processing

*Employer: University of Colorado Boulder
*Title: Postdoctoral Associate
*Specialty: Machine Learning, Speech and Language Processing
*Location: Boulder, Colorado, United States
*Deadline: Ongoing, desired start August 2018
*Date posted: February 9, 2018
*Contact: Dr. Sidney D’Mello

Postdoc in Machine Learning with an Emphasis on Speech and Language Processing
(Department of Computer Science and Institute of Cognitive Science at the University of Colorado Boulder)

The Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral research associate starting August 2018 for one year and renewable for a second (and third) year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.

The successful candidate will conduct research in machine learning applied to speech and language processing to solve challenging, but impactful, real-world problems. He/she will participate in the development and application of advanced machine learning techniques (e.g., deep recurrent neural networks) to multi-party speech data collected in authentic contexts (e.g., classroom discourse, small group collaborative problem solving).

The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science and the Institute of Cognitive Science.

The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop new technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills by mentoring students, and gain expertise in co-authoring grant proposals.

Required

*Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire
*Research experience in advanced machine learning (e.g., deep learning, probabilistic graphical models)
*Evidence of a strong publication record in the aforementioned areas

Desired

*Research experience in one or more of the following areas: acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling

Job Details

*One year initial position with possible extension to a second and third year based on performance and availability of funds
*Desired start date is August 2018. However, start date is negotiable
*Competitive salary with benefits commensurate with qualifications

How to Apply
Please complete the following form: https://tinyurl.com/CUPostDoc1 and upload the following required documents: (1) cover letter, (2) current CV, and (3) one or two representative publications as a single PDF document named FirstNameLastName.pdf.

Additional documents will be required from candidates selected for further review after the initial documents are received: (4) – The document uploaded for Proof of Degree can be a Transcript which shows the date the degree was conferred; Copy of Diploma; or official letter from the Registrar or the Dean of the School or College conferring the degree; and (5) – List of references

About the University of Colorado and the City of Boulder
The University of Colorado Boulder is a widely recognized and respected research university in the U.S. Its 11 research institutes house more than 900 researchers, students, and staff, making a major contribution to the research infrastructure of the university and local economy. Boulder is one of the 34 public research institutions belonging to the Association of American Universities (AAU). It contributes to the local community via research partnerships, education opportunities, and development projects.

The city of Boulder hosts thriving tech industries, supports a renowned entrepreneurial community, has some of the region's best restaurants, and is home to many federal research labs. There are endless ways to enjoy Boulder's 300-plus days of sunshine a year — from the hundreds of miles of hiking and biking trails to some of the country's finest microbrews. It's also quick and easy to get around by bus or bike and a quick 25 mile ride to nearby Denver.

Special Instructions to Applicants
The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.

The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at adacoordinator@colorado.edu.

Full-time Researchers, IBM Research - Almaden

*Employer: IBM Research - Almaden
*Title: Research Staff Member
*Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas
*Location: San Jose, California, USA
*Deadline: June 1, 2018
*Date posted: January 31, 2018
*Contact: Yunyao Li (yunyaoli {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)

IBM Research - Almaden is looking for talented researchers with background in Natural Language Processing and Machine Learning to join the Natural Language Processing, Entity Resolution and Discovery Department. We are actively building the next-generation knowledge engineering platform for the creation, maintenance and consumption of "industry-specific" knowledge bases from a large number of (un/semi)structured public, licensed and enterprise content sources. Such industry-specific knowledge bases are the foundation of many emerging AI services and applications.

Such a platform needs to support the entire life cycle for knowledge engineering including:

*Creation, maintenance and evolution of domain schema to capture domain concepts of interest
*Scalable systems, tools and methodologies to support the development of individual analytic stages involved in creating knowledge from multiple sources, including text analytics, entity resolution and integration, cleansing, data transformations and machine learning
*Domain adaptability and easy-to-use interfaces for key user personae for the individual analytic stages
*Scalable content services infrastructure that enables production-level deployment of these analytic workflows with support for continuous monitoring, introspection and recovery in the knowledge base creation process
*Techniques and methods for scalable and flexible indexing and querying support over the knowledge base supporting structured and search style queries, entity queries, as well as ad-hoc and exploratory queries
*Easy-to-use knowledge consumption interfaces for both human and machine consumption including support for discovery and ad-hoc NLQ driven interfaces
*Incorporating crowd sourcing and continuous evolution of the system through learning from user interactions

The research builds upon and extends successful projects from our group, which have resulted in significant academic, industrial and open source impact.

*SystemT: http://researcher.watson.ibm.com/researcher/view_group.php?id=1264
*Midas: http://researcher.watson.ibm.com/researcher/view_group.php?id=2171
*SystemML: http://researcher.watson.ibm.com/researcher/view_group.php?id=3174

The research is being conducted in close collaboration with the IBM Watson division and multiple global IBM Research labs (Australia, India, and Zurich), with focus around demonstrating scalable knowledge base construction in multiple industry domains (e.g., Healthcare, Financial and consumer domains).

We are currently looking for talented researchers with interest in system design and implementation as well as experience in one or more areas relevant to the knowledge engineering life cycle as described above, particularly those with background in Natural Language Processing and Machine Learning. You will participate in cutting edge research, build at industrial scale, and keep connected to the larger research community by regularly publishing papers and partnering with universities.

Required

*Bachelor's degree or equivalent in Computer Science, related technical field or equivalent practical experience.
*Programming experience in one or more of the following: Java, C, C++ and/or Python.
*Experience in Natural Language Processing, Computational Linguistics, Machine Learning, Large-Scale Data Management, Data Mining or Artificial Intelligence
*Contribution to research communities and/or efforts, including publishing papers at conferences such as ACL, EMNLP, NIPS, AAAI, ICML, SIGMOD, VLDB, and KDD.

Preferred

*PhD in Computer Science, related technical field or equivalent practical experience.
*Relevant work experience, including experience working within the industry or as a researcher in a lab.
*Ability to design and execute on research agenda.
*Strong publication record.

PhD-level Researchers, AIPHES, Darmstadt/Heidelberg

*Employer: Technische Universität Darmstadt or Ruprecht Karls University Heidelberg, Germany
*Title: Doctoral researcher
*Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas
*Location: Darmstadt or Heidelberg
*Deadline: February 11, 2018
*Date posted: January 21, 2018
*Contact: AIPHES recruitment form

PhD positions in DFG Graduate School AIPHES: Natural Language Processing and Computational Linguistics

The Research Training Group “Adaptive Information Preparation from Heterogeneous Sources” (AIPHES), which has been established in 2015 at Technische Universität Darmstadt and at Ruprecht Karls University Heidelberg is filling several positions for three years, starting as soon as possible. Positions remain open until filled.

The positions provide the opportunity to obtain a doctoral degree in the research area of the training group with an emphasis, e.g., in opinion and sentiment - extrapropositional aspects of discourse, in natural language processing tasks such as structured summaries of complex contents, in content selection and classification enhanced by reasoning, or a related area. The group will be located in Darmstadt and Heidelberg. The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.

The goal of AIPHES is to conduct innovative research in knowledge acquisition on the Web in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, computer vision, and automated quality assessment will be developed. AIPHES will investigate a novel, complex scenario for information preparation from heterogeneous sources. It interacts closely with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.

Participating research groups at Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych), Machine Learning (Prof. Kersting), Visual Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at Ruprecht Karls University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of the Heidelberg Institute for Theoretical Studies (HITS).

AIPHES emphasizes close contact between the students and their advisors with regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and will actively support its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.

Prerequisites

We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be willing to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. The Institute for Computational Linguistics (ICL) of the Ruprecht Karls University Heidelberg is one of the largest centers for computational linguistics both in Germany and internationally. The ICL and the NLP department of the HITS jointly run the graduate program “Semantic Processing” with an integrated research training group “Coherence in language processing: Semantics beyond the sentence”, which has a close connection to the topics in computational linguistics of AIPHES.

Applications should include a motivational letter that refers to one or two of the planned research areas of AIPHES, a CV with information about the applicant’s scientific work, certifications of study and work experience, as well as a thesis or other publications in electronic form. Application materials must be submitted via the following form by February 11th, 2018:

https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/

In addition, applicants should be prepared to solve a programming and a reviewing task in the first two weeks after their application.

Associate Research Scientist, UKP Lab, TU Darmstadt

*Employer: UKP Lab, Technische Universität Darmstadt, Germany
*Title: Associate Research Scientist
*Specialty: Interactive text analysis
*Location: Darmstadt
*Deadline: February 16, 2018
*Date posted: January 21, 2018
*Contact: jobs@ukp.informatik.tu-darmstadt.de

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist (PostDoc- or PhD-level; for an initial term of two years)

in the areas of Interactive Text Analysis, the UKP Lab is looking for a researcher with a background in Natural Language Processing and Software Development to work on the project INCEpTION funded by the German Research Foundation (DFG). The project is developing a comprehensive interactive text analysis platform to improve efficiency and to enable new ways of exploring, annotating and analyzing large-scale text corpora through the use of assistive features based on machine-learning.

We ask for applications from candidates from Computer Science with a specialization in Natural Language Processing, Text Mining, or Machine Learning, preferably with expertise in research and development projects, and strong communication skills. The successful applicant will work on research and development activities regarding text annotation by end-users (researchers, analysts, etc.), information recommendation, and create the corresponding text analysis platform. Ideally, the candidates should have demonstrable experience in designing complex (NLP and/or ML) systems (frontend and backend), in applying NLP-related Machine Learning-based methods, and strong programming skills especially in Java. Experience with neural network architectures and demonstrable engagement in open source projects are strong pluses.

The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), with a rapidly developing focus on Interactive Machine Learning and who provide a range of high-quality open source software packages for interactive and automatic text analysis to research and industry communities.

UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent work environment. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasizes NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest standards, cooperative work style and close interaction of team members.

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the applications to: jobs@ukp.informatik.tu-darmstadt.de by 16.2.2018. The positions are open until filled. Later applications may be considered if the position is still open.

Employment opportunities, postdoctoral positions, summer jobs

2019-08-09T19:18:37Z

ETSOC:

Associate Research Scientist, Speech

Educational Testing Service (ETS), with headquarters in Princeton, NJ, is the world's premier educational measurement institution and a leader in educational research. With more than 3,400 global employees, we develop, administer and score more than 50 million tests annually in more than 180 countries at more than 9,000 locations worldwide. We design our assessments with industry-leading insight, rigorous research and an uncompromising commitment to quality so that we can help education and workplace communities make informed decisions.

ETS's Research & Development division has an opening for an associate research scientist in the Speech area of the NLP & Speech research center. The projects in this research group focus on the application of NLP, speech, dialogue, and multimodal processing algorithms in automated scoring capabilities for assessment and learning tasks involving constructed responses (such as essays and spoken responses). In addition to its signature automated scoring systems for text and speech assessments, the group is actively pursuing technology innovation in education and learning spaces by performing foundational research, prototyping next-generation capabilities, and collaborating with academic and industry partners. The NLP & Speech research group currently comprises around 20 PhD-level research scientists, 10 research engineers, and 10 research assistants and administrative staff.

This is an excellent opportunity to be part of a world-renowned research and development team and have a significant impact on existing and next-generation NLP, speech, dialogue, and multimodal systems and their use in educational applications.

Responsibilities:

*Conceptualizing, proposing, obtaining funding for, and directing small projects in the area speech processing for educational applications and assisting in moderate-to-major research projects.
*Assist in generating or contributing to new knowledge or capabilities in the field of speech processing and in applying that new knowledge and capabilities to existing and/or new ETS products and services. Some speech processing research areas that are relevant to ETS R&D include (but are not limited to) automatic speech recognition for non-native speakers of English, voice biometrics, computer-assisted pronunciation training, and automated speech scoring.
*Participate in setting substantive research and development goals and priorities for a group or initiative within a vice presidential area.
*Develop proposals and budgets for small projects and/or assist in development for moderate-to-major ones.

Requires:

*Ph.D. in Computer Science, Computational Linguistics, Electrical Engineering, Natural Language Processing, Linguistics, or a similar area with major education in speech processing.
*At least one year of independent substantive research experience in speech processing is required. Experience can be gained through doctoral studies.
*Practical expertise with speech processing tools (e.g., kaldi), experience with machine learning toolkits (e.g., Weka, scikit-learn), and fluency in at least one major programming language (e.g. Java, Python).
*Practical experience with deep learning paradigms and toolkits (e.g., TensorFlow, pytorch, Keras) is highly desirable.
*Documented contributions to research communities and a strong publication record and experience I system building and prototyping are preferred.

We offer a competitive salary, comprehensive benefits, possible relocation assistance and excellent opportunities for professional and personal growth. For a full list of position responsibilities and to apply please visit the following link: Associate Research Scientist, Speech https://etscareers.pereless.com/index.cfm?fuseaction=83080.viewjobdetail&JID=290092&BUID=2538&cid=83080

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of Women and Minorities.

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of protected Veterans and Individuals with Disabilities.

EDUCATIONAL TESTING SERVICE is a Drug-free workplace.

Apply Here: http://www.Click2Apply.net/bk2nyzrv9cwpqgdr

PI112670813

Postdocs on Facebook-sponsored neural NLG project, Ohio State University

*Employer: The Ohio State University
*Title: Postdoctoral Scholar
*Specialty: NLG, conversational systems, NLP
*Location: Columbus, OH, USA
*Deadline: August 18, 2019
*Date posted: August 2, 2019
*Contacts: Michael White (mwhite@ling.osu.edu)

Multiple postdoctoral scholar positions are open at Ohio State for a Facebook-sponsored project on natural language generation in conversational system with the theme of structure in neural NLG.

Full details are available on the application page: https://www.jobsatosu.com/postings/96937
Open Rank Professor, iSchool and Department of Criminology and Criminal Justice, University of Maryland

*Employer: University of Maryland
*Title: Open Rank Professor
*Specialty: Data-driven analyses in crime, law and justice
*Location: College Park, MD
*Deadline: October 1, 2019 (deadline for full consideration, late applications may be accepted)
*Date posted: July 26, 2019
*Contacts: Katie Shilton (kshilton@umd.edu) and Laura Dugan (ldugan@umd.edu)

The College of Information Studies (Maryland’s iSchool) and the Department of Criminology and Criminal Justice at the University of Maryland, College Park invite applications for an open rank tenure-track or tenured faculty position with a focus on building systems for and conducting data-driven analyses in crime, law and justice. Examples of possible research approaches include: data mining; information visualization; automating or advancing data pre-processing; signal processing, computer vision, and natural language processing; applied machine learning; algorithmic transparency, debiasing algorithms and data, and algorithmic accountability; and computational social science.

We are interested in candidates who apply these topics in the context of criminology, justice, and criminal law (e.g., predictive policing, pretrial risk assessment, database building through open sources, linking criminal records, recidivism prediction, management of bodycam video, face recognition in surveillance images, management of DNA evidence). Candidates with data-driven approaches to related social science topics are encouraged to apply.

Applicants should apply electronically at https://ejobs.umd.edu/postings/71777.
Tenure-track Assistant Professor of Computational Linguistics, Boston University

*Employer: Boston University
*Title: Assistant Professor
*Specialty: Computational Linguistics
*Location: Boston, MA
*Deadline: October 20, 2019 (deadline for full consideration, late applications may be accepted)
*Date posted: July 24, 2019
*Contact: Carol Neidle <carol@bu.edu>

The Boston University Linguistics Department seeks a tenure-track Assistant Professor of Computational Linguistics (for primary appointment in Linguistics, secondary appointment in or affiliation with Computer Science), beginning July 1, 2020, pending budgetary approval; to conduct research, teach courses in Computational Linguistics and related areas (Linguistics, Computer Science) at introductory and advanced levels, and advise graduate and undergraduate students. Should have excellent programming skills and experience in computational linguistic research. Experience in application of computational methods to field linguistics or analysis of understudied languages would be a plus. Requirements include PhD in Linguistics (preferred) or Computer Science in hand by start date, with strong background in both fields, and demonstrated excellence in teaching, advising, and research. For further information: http://ling.bu.edu/ and http://www.bu.edu/cs/ .

Applications should be uploaded through https://academicjobsonline.org/ajo/jobs/14064. Full details of application requirements, as well as a statement of the university’s commitment to diversity and inclusion, are available on that site.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.

Full-Time Research Engineer, New York University

*Employer: New York University
*Title: Research Engineer
*Specialty: Open-source software, pretraining and transfer learning
*Location: New York, USA
*Deadline: July 31, 2019 (deadline for full consideration, late applications may be accepted)
*Date posted: July 17, 2019
*Contact: Sam Bowman <bowman@nyu.edu>

'm hiring a full-time research engineer. If you're interested in transitioning from software engineering to NLP/ML research, and you'd be up for a stint in an academic lab, there's more information and an application from here: https://apply.interfolio.com/65666
PhD in Biomedical Information Extraction, The University of Manchester, UK

*Employer: University of Manchester
*Title: PhD in Biomedical Information Extraction
*Specialty: Natural Language Processing, Text Mining, Machine Learning
*Location: Manchester, UK
*Deadline: May 26, 2019
*Date posted: May 10, 2019
*Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

The National Centre for Text Mining (http://www.nactem.ac.uk), School of Computer Science in collaboration with the Faculty of Biology, Medicine and Health, The University of Manchester, offer a PhD scholarship to advance research in neural information extraction applied to cancer mechanisms.

Candidates must have a minimum upper second class first degree in Computer Science and an MSc in Computer Science or a related discipline. Experience in machine learning and neural networks applied to NLP are highly desirable, as is the ability to work in an interdisciplinary setting.

Further information can be obtained here: http://nactem.ac.uk/newsitem.php?item=393
PhD in Biomedical Information Extraction, The University of Manchester, UK

*Employer: University of Manchester
*Title: PhD in Biomedical Information Extraction
*Specialty: Natural Language Processing, Text Mining, Machine Learning
*Location: Manchester, UK
*Deadline: May 26, 2019
*Date posted: May 10, 2019
*Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

The National Centre for Text Mining (http://www.nactem.ac.uk), School of Computer Science in collaboration with the Faculty of Biology, Medicine and Health, The University of Manchester, offer a PhD scholarship to advance research in neural information extraction applied to cancer mechanisms.

Candidates must have a minimum upper second class first degree in Computer Science and an MSc in Computer Science or a related discipline. Experience in machine learning and neural networks applied to NLP are highly desirable, as is the ability to work in an interdisciplinary setting.

Further information can be obtained here: http://nactem.ac.uk/newsitem.php?item=393

24-month Postdoctoral Position, IRISA (France, Lannion), Paraphrase Generation / Natural Language Generation

*Employer: University of Rennes 1
*Title: Postdoctoral Researcher
*Specialty: Natural language processing
*Duration: 24 months
*Location: Lannion, France
*Deadline: until filled
*Date posted: April 23, 2019
*Contact: Gwénolé Lecorvé (gwenole.lecorve@irisa.fr), Jonathan Chevelu (jonathan.chevelu@irisa.fr)

Overview

IRISA [1] is the largest research laboratory dedicated to computer science in France, hosting more than 800 people and 40 research teams. Its activities spans all the fields of computer science. It is located in Rennes, Lannion, and Vannes.

The Expression team [2] works on natural language processing (NLP), be it through texts, speech or gestures. In particular, it focuses on the expressive components of the human languages.

The opened position is part of the ANR TREMoLo project [3] hosted by the team and aimed at transforming the language register of texts, for instance mapping a text from the formal register to the casual one. This involves work on linguistic characterization, pattern mining and paraphrase generation. The activities are conducted on the French language.

The recruited person will work on a paraphase generation and propose solution to integrate register-specific stylistic constraints. She/he is expected to investigate on the use of statistical and neural paraphrasing systems, that is:

*Training of a baseline systems using either statistical or neural approaches.
*Intregration of constraints formulated as sequential patterns.
*Organization of evaluation campaigns.

Job requirements

*PhD in natural language processing or machine learning
*Top academic and publication records
*Good communication skills
*Team work experience
*Knowledge in French is a plus but is not required.

Postdoctoral Position Available in Natural Language Processing and Human-Robot Interaction, Army Research Lab

*Employer: US Army Research Laboratory
*Title: Postdoctoral Researcher
*Specialty: Natural language processing, human-robot interaction, dialogue systems
*Location: Adelphi, Maryland, United States with ~8 weeks of travel per year to Boston
*Deadline: April 30, 2019 (or until filled)
*Date posted: April 15, 2019
*Contact: Matthew Marge (matthew.r.marge.civ@mail.mil)

Overview

The US Army Research Laboratory (ARL) is welcoming applications for a one-year renewable (up to 3 years) postdoctoral position at the intersection of natural language processing (NLP) and human-robot interaction (HRI), focusing on dialogue with robots. The successful candidate will contribute to the research and development of the project, “Learning about the Physical World Autonomously through Information-Theoretic Dialogue”, funded by the Office of the Secretary of Defense's Laboratory University Collaboration Initiative (LUCI) Fellowship. The goal of the project is to investigate techniques for robots to learn, from natural language dialogue, about objects and actions in the physical world.

In support of this effort, ARL is looking for an individual with a PhD or equivalent experience, with interest and a background in human-robot interaction, natural language processing, symbol grounding, and/or dialogue systems. We plan to develop an approach to detecting uncertainty about objects and actions using multiple modalities (e.g., language and vision), so that robots can initiate natural language questions that humans can answer that maximize the agent's information gain in a situation.

The project is supervised by Dr. Matthew Marge (ARL), with co-PI Dr. Gordon Briggs (NRL), and faculty collaborator Prof. Matthias Scheutz (Tufts University). The successful candidate will collaborate with the PIs on designing human-robot interaction experiments and developing techniques to support human-robot dialogue systems.

The position is available immediately with a duty station at the Adelphi Laboratory Center (ALC), Adelphi, MD (Washington, D.C. metro area), with extended travel (~8 weeks per year) to Boston, MA to visit the Human-Robot Interaction Lab at Tufts University and periodic travel to the Laboratory for Autonomous Systems Research at the Naval Research Laboratory, Washington, D.C.

Job requirements:

*Ph.D. or equivalent research experience in computer science, artificial intelligence, computational linguistics, human-robot interaction, computer engineering or related field.
*U.S. citizenship is preferred.

To learn more about this position, or to apply, please send questions or a CV to Dr. Matthew Marge at matthew.r.marge.civ@mail.mil.
Associate Research Scientist in Natural Language Processing, UKP Lab, TU Darmstadt

*Employer: UKP Lab, Technische Universität Darmstadt, Germany
*Title: Associate Research Scientist
*Specialty: Natural Language Generation, Semantics and Discourse Processing, Multi-document Information Consolidation
*Location: Darmstadt
*Deadline: April 30, 2019 (or until filled)
*Date posted: April 12, 2019
*Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist
(PhD-level; for an initial term of two years)

This position should further strengthen the group’s profile in one or more areas of Natural Language Processing (NLP), such as natural language generation, semantics and discourse processing, or multi-document information consolidation.

UKP Lab is a research group comprising over 30 team members who work on various aspects of data-driven NLP and machine learning with their novel applications in various domains, e.g. conversational IR systems, scientific literature analysis, or social media mining.

We ask for applications from candidates in Computer Science with a specialization in Natural Language Processing or Text Mining, preferably with prior expertise in the relevant areas of computer science and strong programming skills. Experience with neural network architectures and demonstrable engagement in open source projects are strong advantages. Strong communication skills in English are a must.

UKP’s provides an excellent cooperation network with both top academic and industrial partners in Artificial Intelligence (AI), and a supportive research environment within the lab. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique profile around AI and the DFG-funded Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) emphasize NLP, machine learning, and scalable infrastructures for the assessment and aggregation of information. UKP Lab is a high-profile research group committed to cutting-edge research, dynamic operations, cooperative work style and close interaction of team members. The selected candidates will have an opportunity for professional growth according to their seniority level.

Applications should include a detailed CV, a motivation letter and an outline of previous work or research experience (if available). Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference.

Please submit your application via the following form by April 30th, 2019: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The position is open until filled.
Senior Research Scientist - Natural Language Processing at Bosch Research

*Employer: Bosch Research
*Title: Senior Research Scientist (Principal level position also available)
*Specialties: Natural language processing, natural language understanding, information retrieval, question answering, information extraction.
*Location: Sunnyvale, CA, USA
*Deadline: N/A (The position is open until filled)
*Date Posted: March 7, 2019
*Website: http://smrtr.io/_cXw

Company Description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design. In all areas we work in close collaboration with our partners at leading US universities, leading-edge industry partners, and other worldwide Bosch research, development, and marketing units.

The focus of our global HMI research includes Visual Computing, Audio and Language Computing, Conversational AI, Smart Wearables and Haptics, User Experience (UX) and Human Factors, etc. We develop intuitive, interactive and intelligent solutions to enable an inspiring UX for Bosch products and services in application areas such as autonomous driving, car infotainment and driver assistance systems (ADAS), Industry 4.0 and Internet of Things (IoT), security systems, smart home and building solutions, health care, and robotics.

As a part of the global Human Machine Interaction research unit, our Language and Audio Computing group is responsible for shaping the future user experience of Bosch products by developing cutting-edge technologies and prototype systems in the fields of text and audio processing, including natural language processing, natural language understanding, question answering, information retrieval, and audio signal processing. We work on solutions to hard challenges of truly understanding the human language and audio signals, extracting the semantics from text and audio, and enabling natural, intuitive and intelligent HMI and personal assistance. We work with internal partners at various Bosch business units to transfer our ideas and solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals, e.g., ACL, EMNLP, NAACL, COLING, AAAI, ISWC, Interspeech, ICASSP

Job Description

*Drive advanced research and engineering of Natural Language Processing (NLP) technologies
*Apply research results to Bosch prototypes, products and services of information retrieval, question answering, conversational AI, and information extraction.
*Working together with Bosch business units to integrate the resulting system/software into Bosch platform with high quality implementation
*Summarize research findings in high-quality paper and/or patent submissions

Natural Language Processing Research Associate (KTP Associate) in Wilmslow, Cheshire, UK

*Employer: University of Manchester
*Title: Natural Language Processing Research Associate (KTP Associate)
*Specialty: Natural Language Processing, Text Mining, Machine Learning
*Location: Wilmslow, Cheshire, UK
*Deadline: April 7, 2019
*Date posted: March 7, 2019
*Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

An exciting opportunity has arisen for an ambitious graduate who has the ability and confidence to undertake a Knowledge Transfer Partnership (KTP) project between the National Centre for Text Mining (NaCTeM), University of Manchester and Bott and Co.

Bott and Co is a multiple award-winning solicitors based in Wilmslow, near Manchester, with particular expertise in flight delay compensation, holiday sickness and road traffic accident claims.

The successful KTP associate will work with supervisors from both NaCTeM and Bott on a 30 month project, which has the overall aim of building a state-of-the-art Natural Language Processing (NLP) system for legal text mining and predictive modelling (PM).

The position will provide you with a unique opportunity to apply state-of-the-art methods in NLP and PM in the scope of legal analysis.

This post is funded through a Knowledge Transfer Partnership (KTP) award, a UK Government scheme intended to promote sustained and mutually beneficial relationships between universities and industry.

ESSENTIAL SKILLS

*BSc and MSc degree in Computer Science or related areas
*Specialist (PhD-level) knowledge in Natural Language Processing or extensive experience in the development of NLP/text analysis software
*Experience in use of deep learning for NLP/text mining
*Experience of machine learning (especially of context aware linear models for multi-task learning, and of active learning) for NLP/text mining
*Experience of probabilistic inference, predictive modelling and decision making
*Software development experience in Java or Python

LOCATION - Bott and Co, Wilmslow, Cheshire

SALARY - £32,236 to £39,609 per annum plus performance bonus and £5,000 personal development budget

DURATION - 30 months - starting ASAP

CLOSING DATE - 07/04/2019

FURTHER DETAILS AND APPLICATION FORM - https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16973

Postdoc position, KU Leuven

*Employer: Department of Computer Science, KU Leuven
*Title: Postdoctoral Researcher
*Speciality: Representation learning in the context of natural language understanding
*Location: Leuven, Belgium
*Deadline: February 28, 2019
*Date posted: February 13, 2019
*Contact: sien.moens@cs.kuleuven.be

We offer a two-year postdoctoral position (extendable to four years) funded by the ERC (European Research Council) Advanced Grant CALCULUS “Commonsense and Anticipation enriched Learning of Continuous representations sUpporting Language UnderStanding” (http://calculus-project.eu). The position focuses on natural language understanding but gives possibilities to research topics in one or more of the following fields: machine learning (especially semi-supervised learning, transfer learning, incremental learning, deep learning and latent variable models), multimodal processing of language and visual data, learning the grounded meaning of language from various contexts in which language is used (e.g., physical, language and social), representation learning at the word, phrase, sentence or discourse level considering various contexts, learning commonsense knowledge about the world from multimodal data, multimodal grammar induction, and inference models for language understanding. The successful candidate will work on innovative natural language understanding research. He or she will be given the opportunity for personal development beyond research, for example by contributing to teaching (e.g., at the undergraduate and graduate levels). For an outstanding candidate there is the potential to grow into an assistant professorship.

KU Leuven ranks among the top 50 universities in THE World University Rankings 2019. The alumni of the LIIR lab have obtained outstanding positions in academics and industry (see https://liir.cs.kuleuven.be/people.php).

Responsibilities

*Perform research in language understanding and novel machine learning paradigms in the frame of the CALCULUS project.
*Carry out some teaching duties, which may include lectures/exercise sessions, the organization of student seminars, and the supervision of bachelor and master theses.
*Help in the supervision of PhD researchers of the CALCULUS team.

Profile

*You have (or are near completion of) a PhD in Computer Science (or a related field).
*You have a motivated interest in fundamental research in language understanding and machine learning.
*You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in relevant journals with high impact factor.
*You are good at collaborating with and leading others.
*You have a very good knowledge of English, both spoken and written.

Offer

*We offer a 2 x two-year postdoctoral position, starting in the summer of 2019.
*We offer a competitive wage and yearly budget to attend conferences and for short research stays.

Interested

Please contact Prof. dr. Marie-Francine Moens, tel.: +32 16 32 53 83, mail: sien.moens@kuleuven.be. Excellent candidates will be invited for an interview (possibly via Skype). The position will be closed when a valuable candidate is found.

Postdoc position, Masaryk University

*Employer: Machine Learning and Data Processing Department, Faculty of Informatics, Masaryk University
*Title: Postdoctoral Researcher
*Speciality: natural language processing, knowledge representation and reasoning
*Location: Brno, Czech Republic
*Deadline: March 1, 2019
*Date posted: January 15, 2019
*Contact: Ales Horak: hales@fi.muni.cz, subject "Postdoc 2019"
*Application link: https://www.muni.cz/en/about-us/careers/vacancies/43809

The Faculty of Informatics of Masaryk University (FI MU) in Brno, Czech Republic, invites applications for Post-doctoral positions in all areas of Computer Science. Brno, the second largest city in the Czech Republic, see https://www.gotobrno.cz/en/, is an attractive city for students and young researchers. The Faculty has a strong interest in attracting applications from abroad.

The postdoctoral positions are awarded for one year with an extension to the second year after a review. Gross salary is 50,000 CZK per month which, with an optional 10% bonus, sums to more than 25,500 EUR per year. Additional funds of 4,000 EUR per year will be available for travel and material expenses. Preferred start date of the contract is in June/July 2019, but other options can be negotiated without hassle.

Requirements

Candidates must have a PhD degree not older than 4 years at the time of application, from a university outside of the Czech and Slovak Republics. In case that the PhD defense is not yet finished, the candidate must also provide an official letter certifying that his/her PhD thesis has already been submitted for defense and outlining the expected schedule of the PhD defense. Candidates with a PhD degree from a Czech or Slovak university may also be considered if they prove at least two years of post-doctoral research experience abroad.

Evaluation

All candidates are expected to be fluent in English, while prior knowledge of Czech is not required. Candidates will be evaluated on the ground of their strong international research record, and preference will be given to those whose research areas match the research directions of the Faculty of Informatics; see http://www.fi.muni.cz/research/.

Application

Applications must be submitted electronically at the attached www address - the electronic application form (only reference letters, if not given directly to the applicant, may be sent by email). The applicants should provide the following documents with their application:

*An academic CV, a list of publications, and a motivation letter.
*A scanned copy of the PhD diploma, or a letter certifying submission of doctoral thesis for the defense.
*One external reference letter, and one support letter (expression of interest) from a member of the academic staff of the Faculty of Informatics of Masaryk University. These letters, if cannot be attached by the applicant him/herself, may be sent to the e-mail address hales@fi.muni.cz.

All interested applicants are strongly advised to informally contact their expected host research groups at the Faculty of Informatics well ahead of submitting their application.

Contact

Assoc.Prof. Ales Horak, Head of the Department of Machine Learning and Data Processing

Submission of applications: https://www.muni.cz/en/about-us/careers/vacancies/43809

E-mail (for inquiries and reference letters): hales@fi.muni.cz, subject "Postdoc 2019"
Two postdoctoral positions, University of Pittsburgh

*Employer: The Computational Social Dynamic Lab, University of Pittsburgh
*Title: Postdoctoral Research Associate
*Speciality: computational social science, NLP, machine learning.
*Location: Pittsburgh, PA, USA
*Deadline: January 15, or until position filled
*Date posted: December 06, 2018
*Contact: Yu-Ru Lin (email: <yuruliny@gmail.com> | web: http://yurulin.com | lab: https://picsolab.github.io/)

The Computational Social Dynamic (PICSO) Lab at the University of Pittsburgh is seeking two postdoctoral research associates for a computational social science project under the mentorship of Dr. Yu-Ru Lin and Dr. Rebecca Hwa. This highly interdisciplinary project aims to advance research methodology in revealing biases of different groups or cultures by analyzing social media data with cutting-edge methods of natural language processing and machine learning. The duration of the position is for one year, with the possibility of renewal. The compensation is competitive.

We welcome candidates who hold a PhD from a related background, including computational social science, computer science, computational linguistics, social psychology, sociology, political science, and applied mathematics. Particular priorities for hiring are: (1) knowledge and experiences in distributed semantic representation, sentiment analysis, and text mining methods, ideally demonstrated by publications in established venues (ACL, EMNLP, NIPS, ICML, KDD, etc.); (2) demonstrated ability to work with social media data; (3) prior experiences with computational social sciences a plus.

For full consideration, candidates should submit the following materials electronically as a single PDF file to Dr. Yu-Ru Lin at <yuruliny@gmail.com>:

*A brief statement of interest describing your relevant background
*Current CV
*The names and contact information for two references (letters of recommendation will be solicited from finalists)
*Two publications or other writing samples

Please include "PostDoc Application 2019" in the email subject line.
Research Scientist Interns at Adobe Research, San Jose, California

*Employer: Adobe Systems Incorporated
*Title: Research Scientist Intern
*Speciality: NLP, machine learning, dialog, and question answering.
*Location: San Jose, CA, USA
*Deadline: March 1, 2019
*Date posted: December 06, 2018
*Contact: bui@adobe.com

We are looking for Master and/or Ph.D. students with a strong background in NLP, machine learning, dialog, and/or question answering to work on our Creative Assistant project and Document Question Answering project. See our recent publications here for further details: https://sites.google.com/site/trungbuistanford/Home/publications
Assistant Professor Position at The University of Memphis

*Employer: University of Memphis
*Rank or Title: Assistant Professor
*Specialty: ML/NLP with particular interest in educational technologies
*Location: Memphis, Tennessee
*Deadline: 1/7/19 but applications accepted until search completed
*Date Posted: 11/28/18
*Contact email: cconnor2@memphis.edu
*Application link: [4]

The Department of Computer Science at the University of Memphis is seeking candidates for an Assistant Professor position beginning Fall 2019. The candidate’s research will be jointly supported by the Department of Computer Science and the Institute of Intelligent Systems (IIS). Focus area for this position include Machine Learning, Data Mining, and Big Data. Candidates whose research areas complement the language & discourse or learning focus area of the IIS are particularly encouraged to apply. Candidates from minority and underrepresented groups are highly encouraged to apply. Successful candidates are expected to develop externally sponsored interdisciplinary research programs, teach both undergraduate and graduate courses and provide academic advising to students at all levels.

Applicants should hold a PhD in Computer Science, or related discipline, and be committed to excellence in both research and teaching. Salary is highly competitive and dependent upon qualifications.

The Department of Computer Science ([5]) offers B.S., M.S., and Ph.D. programs as well as graduate certificates in Data Science and Information Assurance, and participates in an M.S. program in Bioinformatics (through the College of Arts and Sciences). The Department has been ranked 55th among CS departments with federally funded research. The Department regularly engages in large-scale multi-university collaborations across the nation. For example, CS faculty led the NIH-funded Big Data "Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K)" and the "Center for Information Assurance (CfIA)".

The Institute for Intelligent Systems consists of 54 faculty members across 14 departments including Communication Sciences and Disorders, Computer Science, Engineering, Education, Linguistics, Philosophy and Psychology. The IIS offers a graduate certificate in Cognitive Science, a minor in Cognitive Science, and is affiliated with BA and MS programs in other departments. The IIS receives $4-5 million in external awards per year from federal agencies such as NSF, IES, DoD, and NIH. Further information about the Institute for Intelligent Systems can be found at [6].

Known as America’s distribution hub, Memphis ranked as America’s 6th best city for jobs by Glassdoor in 2017. Memphis metropolitan area has a population of 1.3 million. It boasts a vibrant culture and has a pleasant climate with an average temperature of 63 degrees.

Screening of applications begins immediately. For full consideration, application materials should be received by January 7, 2019. However, applications will be accepted until the search is completed.

To apply, please visit [7]. Include a cover letter (please include a reference to this position as “CS-IIS”), curriculum vitae, statement of teaching philosophy, research statement, and three letters of recommendation. Direct all inquiries to Corinne O’Connor (cconnor2@memphis.edu).

A background check will be required for employment. The University of Memphis is an Equal Opportunity/Equal Access/Affirmative Action employer committed to achieving a diverse workforce.
Research Associate in Text Mining, University of Manchester, UK

*Employer: University of Manchester
*Title: Research Associate in Text Mining
*Specialty: Text Mining
*Location: Manchester, UK
*Deadline: January 3, 2019
*Date posted: November 27, 2018
*Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

We invite applications for the Research Associate in Text Mining, which is tenable initially for 12 months starting as soon as possible. The post is part of the Discovering Safety Programme funded by Lloyds Register Foundation in collaboration with the Health and Safety Executive. The purpose of this project is to use a combination of text mining and machine learning methods for retrieving and organising textual information pertinent to incident and inspection reports for search and risk classification.

Post Objectives:

1. To develop a search system based on clustering methods.

2. To contribute to development of entity linking for the application.

3. To develop a classification system for risk assessment.

You should have a PhD or equivalent in Computer Science with emphasis in Text Mining and Machine Learning in particular clustering and classification. Experience in named-entity recognition, entity linking and terminology extraction will be desirable. Appropriate security clearance may be required for the successful applicant.

*Salary : £32,236 - £39,609 per annum according to experienc
*Hours Per week: Full Time
*Contract Duration : 01 February 2019 until 31 January 2020

Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16445
Research Fellow in Natural Language Processing and Text Mining, University of Manchester, UK

*Employer: University of Manchester
*Title: Research Fellow in Natural Language Processing and Text Mining
*Specialty: Text Mining
*Location: Manchester, UK
*Deadline: January 3, 2019
*Date posted: November 23, 2018
*Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

We invite applications for the above position to increase the University of Manchester's capacity in Natural Language Processing and Text Mining, which is available immediately for an initial 5 year period leading to an open-ended academic position.

The Research Fellow will further strengthen the research profile of the text mining research group at the University of Manchester and the National Centre for Text Mining. We are looking for an outstanding candidate that has a vision for making a significant impact on natural language processing, text mining research and its applications. The Fellow will be part of the Discovering Safety Programme project funded by Lloyds Register Foundation in collaboration with the Health and Safety Executive. This post is one of the key first posts to be appointed in the Thomas Ashton Institute for Risk and Regulatory Research.

You will join the vibrant research environment of the Text Mining research group at the School of Computer Science and will be a member of the National Centre for Text Mining which is developing cross cutting and innovative approaches for text mining applications using NLP and machine learning.

As a member of the Thomas Ashton Institute, the Fellow will join, and help establish, a multidisciplinary centre of excellence and expertise, which offers an exciting opportunity for ground breaking and excellent research to inform both government regulatory regimes and industry practice.

*Salary : £40,792 to £50,132 per annum dependent upon experience
*Hours Per week: Full Time
*Contract Duration : Starting Immediately until 31 December 2023

Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16448
Associate Research Scientist, UKP Lab, TU Darmstadt

*Employer: UKP Lab, Technische Universität Darmstadt, Germany
*Title: Associate Research Scientist
*Specialty: Interactive Text Analysis and Natural Language Processing Tools
*Location: Darmstadt
*Deadline: December 15, 2018 (or until filled)
*Date posted: November 22, 2018
*Contact: https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist
(PhD-level; for an initial term of two years)

to strengthen the group’s profile in the areas of Interactive Text Analysis and Natural Language Processing Tools. The UKP Lab is an internationally recognized research institute with about 35 team members. We work on various aspects of Natural Language Processing (NLP), with a rapidly developing focus on Interactive Machine Learning. Besides, we provide a range of high-quality open source software packages for interactive and automatic text analysis to research and industry communities and collaborate with both academic and industrial partners.

We ask for applications from candidates in Computer Science with a specialization in Semantic Web Technologies and either Information Retrieval or Natural Language Processing, preferably with expertise in research and development projects, and strong communication skills in English and German.

The successful applicant will work on research and development for interactive text annotation by end-users (researchers, analysts, etc.). This includes neural network-based methods for knowledge graph construction and completion, interactive sequence labeling recommender systems, or semantic information retrieval. We integrate the results in a real-life collaborative text annotation software for large-scale interactive corpus analysis.

Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP and/or ML) systems (frontend and backend), in applying NLP-related Machine Learning-based methods (e.g. learning-to-rank, clustering, etc.), experience with information retrieval systems (e.g. Lucene, Solr, ElasticSearch) and relational databases (SQL), semantic web technologies (e.g. RDF, OWL, SPARQL), and strong programming skills especially in Java. Experience with neural network architectures (e.g. knowledge-base embeddings) and demonstrable engagement in open- source projects are a strong plus.

UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research focus "Data Science” and the Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasize NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals. In 2018, Darmstadt has achieved the first place in the category Cities of the Future in a ranking of German cities.

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please apply under https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/ by December 15, 2018. The positions are open until filled. Later applications may be considered if the position is still open.
Associate Research Scientist, UKP Lab, TU Darmstadt

*Employer: UKP Lab, Technische Universität Darmstadt, Germany
*Title: Associate Research Scientist
*Specialty: Natural language processing
*Location: Darmstadt
*Deadline: December 15, 2018 (or until filled)
*Date posted: November 22, 2018
*Contact: https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist
(PhD- or (Senior-)PostDoc level; for an initial term of two years)

The UKP Lab is an internationally recognized research institute with about 35 team members. We work on various aspects of Natural Language Processing (NLP), with an emphasis on semantic text analysis and generation, argument mining, and interactive machine learning. Besides, we have a strong profile in deep learning for NLP, construction of large-scale benchmarks, or knowledge graphs. We collaborate with a wide range of both academic and industrial partners.

We are looking for candidates in Computer Science with a specialization in Natural Language Processing, preferably with expertise in research and development projects, prior publication experience, and strong communication skills. The research topics of the position may include: NLP in low-research settings, argument mining and retrieval, multimodal content processing, privacy-enhanced NLP as well as machine learning for NLP (deep reinforcement learning, neural network architectures). The successful applicant will work on research and development as part of a team in one of the areas above. We disseminate the results in top venues of the field and as free research software and datasets. The lab offers highly attractive options for personal growth and career development at all levels of the scientific career. Upon interest, additional qualifications in teaching and project management can be acquired.

UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research focus "Data Science” and the Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasize NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals. In 2018, Darmstadt has achieved the first place in the category Cities of the Future in a ranking of German cities.

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please apply under https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/ by December 15, 2018. The positions are open until filled. Later applications may be considered if the position is still open.
Assistant Professor, Department of Linguistics and Translation, University of Montreal

*Employer: Department of Linguistics and Translation, University of Montreal
*Title: Assistant Professor (tenure-track)
*Specialty: Computational linguistics
*Location: Montreal, Canada
*Deadline: December 13, 2018
*Date posted: November 10, 2018
*Contact: Mireille Tremblay <mireille.tremblay.4@umontreal.ca > and https://ling-trad.umontreal.ca

The Département de linguistique et de traduction is seeking applications for a full-time tenure-track position at the rank of Assistant Professor in computational linguistics/natural language processing.

Responsibilities

The appointed candidate will be expected to teach at all three levels of the curriculum, supervise graduate students, engage in ongoing research and publication, and contribute to the academic life and reputation of the University. This person will play an important role in the development of the “Computational Linguistics” branch of our curriculum and in establishing cross-disciplinary collaborations within and outside of the University.

Requirements

*Ph.D. in linguistics, computer science, or a related field.
*Education in both linguistics and computer science, with a strong background in core linguistics.
*Demonstrated interest in using computational techniques in the study of language.
*Ability to teach in at least one of the core domains of linguistics.
*Excellent publication track record in computational linguistics.
*University teaching experience.
*Sufficient knowledge of written and spoken French.

Deadline: until December 13, 2018 inclusively

Treatment: Université de Montréal offers competitive salaries and a full range of benefits.

Starting date: On or after August 1st, 2019

Application

The application must include the following documents:

*a cover letter
*a curriculum vitæ
*copies of recent publications and research

Three letters of recommendation are also to be sent directly to the department chair by the referees.

Application and letters of recommendation must be sent to the chair of the Département de linguistique et de traduction at the following address:

Mireille Tremblay, directrice
Département de linguistique et de traduction
Faculté des arts et des sciences
Université de Montréal
C.P. 6128, succursale Centre-ville
Montréal (QC) H3C 3J7
Canada

Application and letters of recommendation may also be sent by email at the following address: mireille.tremblay.4@umontreal.ca

For more information about the Department, please consult its website at http://ling-trad.umontreal.ca

Université de Montréal is a Québec university with an international reputation. French is the language of instruction. To renew its teaching faculty, the University is intensively recruiting the world’s best specialists. In accordance with the institution’s language policy, Université de Montréal provides support for newly-recruited faculty to attain proficiency in French.

The Université de Montréal application process allows all regular professors in the Department to have access to all documents unless the applicant explicitly states in her or his cover letter that access to the application should be limited to the selection committee. This restriction on accessibility will be lifted if the applicant is invited for an interview.

Through its Equal Access Employment Program, Université de Montréal invites women, Aboriginal people, visible and ethnical minorities, as well as persons with disabilities to apply. During the recruitment process, our selection tools will be adapted to meet the needs of people with disabilities who request it. Be assured of the confidentiality of this information.

Université de Montréal is committed to the inclusion and the diversity of its staff and also encourages people of all sexual and gender identities to apply.

We invite all qualified candidates to apply at UdeM. However, in accordance with immigration requirements in Canada, please note that priority will be given to Canadian citizens and permanent residents.

Software Engineer for Text Mining Applications at the University of Manchester

*Employer: National Centre for Text Mining, School of Computer Science, University of Manchester
*Title: Software Engineer
*Specialty: Text Mining
*Location: Manchester, UK
*Deadline: November 25, 2018
*Date posted: October 25, 2018
*Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

Applications are invited for a Software Engineer post (full time) for a period of 5 years

The successful candidate will be part of the National Centre for Text Mining (http://www.nactem.ac.uk/) which is hosted by the School of Computer Science, joining a strong and dynamic team in text mining. The National Centre for Text Mining provides next-generation text mining services to the community. We use natural language processing techniques to build advanced search systems in a number of domains. We are seeking a self-motivated, creative and experienced software engineer (must have substantive post graduation experience) to enhance our team expertise particularly in the areas of wrapping text mining analysis workflows, software development for search engines bringing the benefits of text mining to end users, Web services, integrating text mining with knowledge bases, cloud deployment of services and advanced user interfaces.

Essential skills and experience include: Linux/unix, extensive experience of software design and development gained in a professional software development environment, experience of producing distributed solutions and of working with large datasets, Java or C++ with XML technologies, REST/SOAP Web services, knowledge of cloud/cluster computing/SaaS/PaaS, Maven.

*Salary : £40,792 to £50,132 per annum dependent upon experience
*Hours Per week: Full Time
*Contract Duration : Starting 1 January 2019 for 5 years

Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16308

Assistant Professor, Department of Linguistics, University of Florida

*Employer: Department of Linguistics, University of Florida
*Title: Tenure-track Assistant Professor
*Specialty: computational language science
*Location: Gainesville, FL 32601
*Deadline: November 18, 2018
*Date posted: October 18, 2018
*Contact: Stefanie Wulff <swulff@ufl.edu> and https://apply.interfolio.com/56557

The University of Florida invites applications for a tenure-track appointment in computational language science at the rank of assistant professor, effective August 16, 2019. This is a 9-month position. Applicants are expected to have a Ph.D. in linguistics, computer science, or a closely-related field. Candidates should have an active research agenda studying language from a computational perspective. Specialization is open, including but not limited to sociolinguistics, neuro/psycholinguistics, corpus linguistics, and/or language documentation. UF Linguistics seeks to train the next generation of linguists who are comfortable integrating and evaluating computational approaches in their research. To this end, ability to teach computationally-oriented courses is required. Candidates must hold the Ph.D. by the starting date.

The successful candidate will be expected to 1) maintain an active research agenda, 2) pursue external research funding, 3) teach two courses per semester at the undergraduate and/or graduate level, 4) provide service to the department, the university, and the profession, and 5) seek collaborations within the department as well as with other units on campus such as the UF Data Science and Information Technology Center, the UF Informatics Institute, or the McKnight Brain Institute.

The Department is committed to creating an environment that affirms diversity and inclusion across a variety of dimensions, including ability, class, ethnicity/race, religion and/or cultural background, gender identity and expression. We particularly welcome applicants who can contribute to such an environment through their scholarship, teaching, mentoring, and professional service. The university and greater Gainesville community enjoy a diversity of cultural events, restaurants, year-round outdoor recreational activities, and social opportunities

Salary is competitive, commensurate with qualifications and experience, and includes a full benefits package.

The Linguistics Department at the University of Florida is a vibrant and congenial unit consisting of 11 full-time faculty and 15 affiliated faculty in the departments of Anthropology; Languages, Literatures, and Cultures; Spanish and Portuguese; and the Dial Center for Written & Oral Communication. We offer a B.A., M.A. and Ph.D. in Linguistics, as well as an undergraduate minor and undergraduate certificate in TESL and a graduate certificate in Second Language Acquisition and Teaching. We have faculty expertise in a wide range of linguistic subfields, and particular strengths in the areas of bilingualism, language documentation, psycholinguistics, sociolinguistics, and African linguistics. Please see our website, lin.ufl.edu, for more information about the department.

For full consideration, applications must be submitted online at https://apply.interfolio.com/56557 and must include: (1) a brief cover letter, (2) a statement of teaching and research interests, (3) a CV, (4) 1-3 sample publications, (5) the names and email addresses for three references, and (6) representative teaching evaluations if available. After initial review, letters of recommendation will be requested for selected applicants. Review of applications will begin on 18 November 2018 and will continue until the position is filled.

All candidates for employment are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education.

The final candidate will be required to provide an official transcript to the department upon hire. A transcript will not be considered "official" if a designation of "Issued to Student" is visible. Degrees earned from an educational institution outside of the United States require evaluation by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/.

The University of Florida is an Equal Opportunity Employer dedicated to building a broadly diverse and inclusive faculty and staff. The University of Florida invites all qualified applicants, including minorities, women, veterans, and individuals with disabilities to apply. The University of Florida is a public institution and subject to all requirements under Florida Sunshine and Public Record laws.
Postdoctoral Researcher, Cognitive AI Lab, University of Arizona

*Employer: School of Information, University of Arizona
*Title: Postdoctoral Research Associate
*Specialty: natural language processing
*Location: Tucson, AZ, USA
*Deadline: Open until filled
*Date posted: October 15, 2018
*Contact: Peter Jansen <pajansen@email.arizona.edu>

Postdoctoral Research Associate I
https://uacareers.com/postings/31213

Position Summary
The Cognitive Artificial Intelligence Laboratory ( http://www.cognitiveai.org ) in the School of Information at the University of Arizona invites applications for a Postdoctoral Research Associate for projects specializing in natural language processing and explanation-centered inference.

Natural language processing systems are steadily increasing performance on inference tasks like question answering, but few systems are able to provide explanations describing why their answers are correct. These explanations are critical in domains like science or medicine, where user trust is paramount and the cost of making errors is high. Our work has shown that one of the main barriers to increasing inference and explanation capability is the ability to combine information – for example, elementary science questions generally require combining between 6 and 12 different facts to answer and explain, but state-of-the-art systems generally struggle integrating more than two facts together. The successful candidate will combine novel methods in data collection, annotation, representation, and algorithmic development to exceed this limitation in combining information, and apply these methods to answering and explaining science questions.

A talk on our recent work in this area is available here: https://www.youtube.com/watch?v=EneqL2sr6cQ

Minimum Qualifications

*A Ph.D. in Computer Science, Information Science, Computational Linguistics, or a related field.
*Demonstrated interest in natural language processing or machine learning techniques.
*Excellent verbal and written communication skills

Duties and Responsibilities

*Engage in innovative natural language processing research
*Write and publish scientific articles describing methods and findings in high-quality venues (e.g. ACL, EMNLP, NAACL, etc.)
*Assist in mentoring graduate and undergraduate students, and the management of ongoing projects
*Support writing grant proposals for external funding opportunities
*Serve as a collaborative member of a team of interdisciplinary researchers

Preferred Qualifications

*Knowledge of computational approaches to semantic knowledge representation, graph-based inference, and/or rule-based systems
*Strong scholarly writing skills and publication record

Full Posting/To Apply
https://uacareers.com/postings/31213
Temporary lecturer, Department of Linguistics, University of California, Santa Barbara

*Employer: Department of Linguistics, University of California, Santa Barbara
*Title: Lecturer
*Specialty: computational linguistics and/or natural language processing and general linguistics
*Location: Santa Barbara, CA 93106
*Deadline: October 24, 2018
*Date posted: September 27, 2018
*Contact: https://recruit.ap.ucsb.edu/apply/JPF01317

The Department of Linguistics at the University of California, Santa Barbara invites applications for a qualified temporary Lecturer to teach course(s) in computational linguistics and potentially general linguistics. To learn more about the department, see: http://www.linguistics.ucsb.edu/

The Lecturer will teach an advanced undergraduate course in computational linguistics in the Winter 2019 or Spring 2019 quarter. The successful candidate may also have the opportunity to teach other courses that support the department’s undergraduate programs, including classes currently listed in the UCSB general catalog and/or special-topic courses proposed by the applicant; these courses may be offered in Winter 2019 or Spring 2019.

Applicants must possess a Master’s Degree in Linguistics and have at least one year teaching college-level linguistics courses. A Ph.D. in Linguistics is preferred but not required. The department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.

To apply, please go to the following link: https://recruit.ap.ucsb.edu/apply/JPF01317. Applicants should submit a curriculum vitae and a cover letter stating their qualifications for teaching computational linguistics as well as any additional courses they may be interested in teaching. Applicants should also provide contact information for three references. To ensure full consideration, all application materials should be received by 10/24/18; however, the position is open until filled.

The University of California is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Assistant Professor, Department of Linguistics, University of California, Santa Barbara

*Employer: Department of Linguistics, University of California, Santa Barbara
*Title: Assistant Professor
*Specialty: computational linguistics and/or natural language processing
*Location: Santa Barbara, CA 93106
*Deadline: November 9, 2018
*Date posted: September 27, 2018
*Contact: https://recruit.ap.ucsb.edu/apply/JPF01310 and complingsearch@linguistics.ucsb.edu

The Linguistics Department of the University of California, Santa Barbara seeks to hire a linguist who is a specialist in computational linguistics and/or natural language processing. The appointment will be a tenure-track position at the Assistant Professor level, effective July 1, 2019.

The successful candidate will have an active research program in computational linguistics and/or natural language processing and will have a record of participation in the computational linguistics/NLP community. Proven expertise in machine learning including word embeddings/vector space semantics is required, as is expertise in using computational linguistics methods to address theoretical and/or applied questions. Capacity to engage with the distinctive theoretical orientation of the department is expected. We welcome applicants with the ability to contribute to departmental foci, such as corpus linguistics, language and cognition, language acquisition, and/or less studied languages. We also encourage applicants who have the potential to interact with colleagues and students across disciplinary boundaries at UCSB.

The successful candidate will demonstrate commitment to and ability in graduate and undergraduate teaching and will be expected to teach a range of graduate and undergraduate courses in computational linguistics, including those with relevance to industry, as well as to contribute to the department’s undergraduate major with an emphasis in Language and Speech Technologies. For more information on the department, see www.linguistics.ucsb.edu.

The minimum requirement to be considered as an applicant is the completion of all requirements for a Ph.D. in linguistics or a closely-related field except the dissertation (or equivalent) at the time of application. A Ph.D. in linguistics or a closely-related field is expected by the time of appointment. Review of applications will begin after Friday, November 9, 2018. The position will remain open until filled.

Applicants must complete the online form at https://recruit.ap.ucsb.edu/apply/JPF01310 and must submit online the following in PDF format: letter of application, statement of research interests, teaching statement, curriculum vitae, and 2 writing samples. Applicants are also encouraged to submit an optional statement on contributions to diversity.

Applicants should request 3-5 letters of reference to be sent directly to https://recruit.ap.ucsb.edu/reference. Inquiries may be addressed to the Search Committee at complingsearch@linguistics.ucsb.edu. Initial screening of selected applicants will be conducted via Zoom. Our department has a genuine commitment to diversity, and is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.

The University of California is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Postdoctoral Fellow, Quantitative Criticism Lab, University of Texas at Austin

*Employer: Quantitative Criticism Lab, University of Texas at Austin
*Title: Postdoctoral Fellow
*Specialty: Digital humanities and natural language processing
*Location: Austin, TX or remote
*Deadline: October 15, 2018
*Date posted: September 7, 2018
*Contact: https://www.nature.com/naturejobs/science/jobs/652327-postdoctoral-fellow

The Quantitative Criticism Lab (QCL; https://www.qcrit.org), a research group developing cross-disciplinary approaches to the study of literature and culture, invites applications for a full-time postdoctoral fellowship. The duration of the fellowship is 18 months, from January 2, 2019 to June 30, 2020. The field of specialization is open, but expertise in computer programming and statistical analysis is essential, as is a deep interest in the study of literature. QCL’s physical lab space is based at The University of Texas at Austin; residence in Austin during the fellowship period is preferred but not required. The fellow will have no teaching responsibilities. The position is funded by a Digital Extension Grant from the American Council of Learned Societies (ACLS).

The ACLS-funded project will produce a web-based suite of tools for traditionally-trained humanists to analyze literary texts in a quantitative manner. The tools are designed with an important class of literary problems in mind, exemplified by the identification of verbal parallels and, at a larger scale, by the individuating of entire works within generic traditions. We take two main approaches: sequence alignment for the detection of verbal resemblance, and stylometry augmented by machine learning for the profiling of texts and corpora. The tools are expected both to enhance traditional modes of literary criticism and to enable novel quantitative analyses of the cultural evolution of literature.

The postdoctoral fellow’s primary responsibilities will be to lead development of these tools and to participate in other aspects of QCL’s research program according to background and interests. The work will involve coding, research design, data analysis, literary criticism, and scholarly writing for diverse venues, as well as various organizational duties related to workshops and conferences. The postdoctoral fellow will work under the supervision of Pramit Chaudhuri (UT Austin) and Joseph Dexter (Dartmouth College), the co-directors of QCL, and will collaborate with a diverse array of scholars, in both academia and industry, affiliated with QCL. In addition, the fellow will be expected to play a major role in mentoring the numerous graduate, undergraduate, and high school students who conduct research with QCL.

A Ph.D. in a computational, statistical, linguistic, or literary field is required. Possible disciplines include (but are not limited to) anthropology, applied mathematics, bioinformatics, classics, comparative literature, computer science, English, evolutionary biology, linguistics, and statistics. Prior experience with any of the following areas is highly desirable but not required: computational linguistics, cultural evolution, digital humanities, literary criticism of a premodern or non-Anglophone tradition (especially Latin or Ancient Greek), machine learning, and natural language processing. By the start date of the position, applicants should either have the Ph.D. in hand or be able to provide certification from their home institution that all degree requirements have been fulfilled. Applicants must have received the Ph.D. within the last three years.

For full consideration, applicants should submit the following materials by October 15, 2018:

*CV;
*Cover letter;
*Short (2-4 page) summary of past and current research interests, giving particular attention to any computational work;
*Writing sample of no more than 40 pages (e.g., article or dissertation chapter).

In addition, applicants should arrange to have three letters of recommendation forwarded by the deadline. Please submit your CV and cover letter on the UT Jobs website: https://utdirect.utexas.edu/apps/hr/jobs/nlogon/180823010712. Please submit the additional materials via email to vnoya@austin.utexas.edu. Questions can be directed to Vanessa Noya at the same address.

The salary will be $48,000 per year, plus benefits.

The successful candidate must be able to begin work in this position by January 2, 2019.

A criminal history background check will be required for finalist(s) under consideration for this position.

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

If hired, you will be required to complete the federal Employment Eligibility Verification form, I-9. You will be required to present acceptable, original documents (https://hr.utexas.edu/current/services/employment-eligibility-verification-i9-docs) to prove your identity and authorization to work in the United States. Information from the documents will be submitted to the federal E-Verify system for verification. Documents must be presented no later than the third day of employment. Failure to do so will result in dismissal.

UT Austin is a Tobacco-free Campus (http://tobaccofree.utexas.edu/).
Associate Research Scientist, UKP Lab, TU Darmstadt

*Employer: UKP Lab, Technische Universität Darmstadt, Germany
*Title: Associate Research Scientist
*Specialty: Natural language processing
*Location: Darmstadt
*Deadline: September 30, 2018 (or until filled)
*Date posted: September 6, 2018
*Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist
(PostDoc- or PhD-level; for an initial term of two years)

This position should further strengthen and develop the profile of the lab in natural language processing (NLP) and related topics such as machine learning, multimodal content analysis, information retrieval, or novel applications of NLP to social sciences and humanities.

Possible areas of research include, but are not limited to:

*interactive clustering and machine learning to extract sets of textual snippets according to multiple criteria, e.g. high-quality and diverse examples illustrating a lexical entry’s usage;
*NLP for low-resource languages, e.g. analyzing discourse-level argumentation in Georgian;
*interactive sequence labeling to support claim validation by experts, e.g. for extracting evidence from corpora;
*joint text and image processing for content classification in social media, e.g. identifying bias;
*analyzing and generating creative language, such as humor, metaphor, or other rhetorical means.

The lab has a strong profile in the above areas, which features robust semantic analysis and textual inference, multimodal content analysis and summarization, and applications of NLP including novel benchmarks and problem definitions. It currently develops a new focus on interactive machine learning and chatbots and conversational agents. The lab closely cooperates with machine learning, computer vision, and data management groups of the Computer Science department. It has a strong industrial network and works together with social sciences and humanities on real-life research problems.

We are looking to attract highly qualified candidates with an outstanding degree in NLP, machine learning, or a related field of Computer Science. The candidates should preferably have research and teaching experience and strong communication skills in English and German (optional). Together with the candidate, we work out an individual career development plan and identify the relevant opportunities for the professional and personal growth within the activities of the lab.

The research environment is excellent. The Department of Computer Science of the TU Darmstadt is regularly one of the top ranked ones among the German universities. Its unique Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG and the BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasize NLP, machine learning and text mining. UKP Lab is a very dynamic research group committed to high-profile research, cooperative work style and close interaction of team members.

Applications should include a detailed CV, a motivation letter, an outline of previous working or research experience and the names of ideally three referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by September 30th, 2018: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The position is open until filled.
Tenure-track and tenure-eligible investigators at the National Library of Medicine, Bethesda, Maryland

*Employer: National Library of Medicine
*Title: Tenure-track and tenure-eligible investigators
*Specialty: Natural Language Processing
*Location: Bethesda, MD, USA
*Deadline: Applications will be accepted until the position is filled.
*Date posted: August 15, 2018
*Contact: Dr. Andy Baxevanis, the Search Chair, <andy@mail.nih.gov>

The National Library of Medicine is currently recruiting for both tenure-track and tenure-eligible investigators in data science, biomedical informatics, and computational biology. Individuals with significant experience in the use of statistical, machine learning, optimization and advanced mathematical methodologies as applied to biomedical and health science are encouraged to apply. Additional details are available by following the links below.

https://www.nlm.nih.gov/careers/jobopenings.html https://www.nlm.nih.gov/careers/jobopening_ncbi_01_20180813.html https://www.nlm.nih.gov/careers/jobopening_ncbi_02_20180813.html

Question-Answering Research Internship at Adobe Research, San Jose, California

*Employer: Adobe Research
*Title: Research Scientist Intern
*Speciality: Question-answering
*Location: San Jose, CA, USA
*Deadline: Applications will be accepted until the position is filled.
*Date posted: July 3, 2018
*Contact: Franck Dernoncourt <dernonco@adobe.com>

We are looking for a PhD student with background in question-answering for a late summer or autumn, ~13-week internship (starting date and length are flexible). We strongly encourage our interns to publish their work to NLP/ML conferences/journals, and as a result we prefer candidates with a strong publication record. International PhD students are welcome to apply. Highly competitive salary. To apply, please send me an email with your CV (e.g., PDF or LinkedIn) as well as the list of your publications (e.g., PDF or link to your Google Scholar profile).
Postdoctoral position in natural language understanding, KU Leuven, Belgium

*Employer: KU Leuven, Belgium
*Title: Postdoctoral researcher
*Specialty: Natural language understanding, machine learning
*Location: Leuven, Belgium
*Deadline: July 31, 2018
*Date posted: June 18, 2018
*Contact: sien.moens@cs.kuleuven.be

We offer a two-year postdoctoral position (extendable to four years) funded by the ERC (European Research Council) Advanced Grant CALCULUS “Commonsense and Anticipation enriched Learning of Continuous representations sUpporting Language UnderStanding” (http://calculus-project.eu). The principal investigator is Prof. Sien Moens. CALCULUS focuses on learning effective anticipatory representations of events and their narrative structures that are trained on language and visual data. The machine learning methods on which CALCULUS will build belong to the family of latent variable models where it will rely on Bayesian probabilistic models and neural networks as starting points. CALCULUS focuses on settings with limited training data that are manually annotated and especially aims at developing novel machine learning paradigms for natural language understanding. CALCULUS also evaluates the inference potential of the anticipatory representations in situations not seen in the training data and for inferring spatial, temporal and causal information in metric real world spaces. The best models for language understanding will be integrated in a demonstrator that translates language to events happening in a 3-D virtual world.

The successful candidate will have an opportunity to work on innovative natural language understanding research such as grounding language meaning into visual perception and translating narrative language into visual events. He or she will be given the opportunity for personal development beyond research, for example by contributing to teaching (e.g., at the undergraduate and graduate levels). For an outstanding candidate there is the potential to grow into an assistant professorship.

Responsibilities

*Perform own research in language understanding and novel machine learning paradigms in the frame of the CALCULUS project.
*Carry out some teaching duties, which may include lectures/exercise sessions, the organisation of student seminars, and the supervision of bachelor and master theses.
*Help in the supervision of PhD researchers of the CALCULUS team.

Prerequisites

*You have (or are near completion of) a PhD in Computer Science (or a related field).
*You have a motivated interest in fundamental research in language understanding and machine learning.
*You are not afraid of creative and original ideas and solutions.
*You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in relevant journals with high impact factor.
*You are good at collaborating with and leading others.
*You work proactively and independently and have good communication skills.
*You have a very good knowledge of English, both spoken and written.
*You are highly motivated, ambitious and result-oriented.

Offer

*We offer a 2 x 2-year postdoctoral position, starting in September 2018 (negotiable).
*We offer a competitive wage and yearly budget to attend conferences and for short research stays.

Interested If interested, send your CV including publication list, motivation letter and two recommendation letters by e-mail to Prof. dr. Sien Moens (sien.moens@cs.kuleuven.be) as soon as possible and the latest by July 31, 2018. For more information please contact Prof. dr. Sien Moens: tel.: +32 16 32 53 83. Excellent candidates will be invited for an interview (possibly via Skype).

The research team

The Language Intelligence & Information Retrieval (LIIR) lab (https://liir.cs.kuleuven.be) of KU Leuven, Belgium is part of the Human Computer Interaction (HCI) unit in the Department of Computer Science. The members of the lab are especially interested in natural language processing and understanding, multimedia mining, machine learning and information retrieval. They study well-informed theoretical models as well as challenging applications, often empowered by big data sets. They investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. LIIR has a special interest in statistical multimodal representation learning where we explore the complementarity of language and visual data. The developed technologies are, among others, applied in the domains of bioinformatics, business intelligence, e-commerce analytics, electronic message filtering, news search and mining, user generated content mining, and World Wide Web mining and search, and contribute to the field of data science in these areas. Through its collaborations LIIR connects to other disciplines including speech processing, computer vision, data mining, artificial intelligence, cognitive science, and human-computer interaction.

The university

KU Leuven is situated in a historic university town close to Brussels, the capital of Europe. It features an excellent Computer Science department providing a stimulating research environment. All programmes at this university are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!
Postdoctoral position in multilingual text mining, KU Leuven, Belgium

*Employer: KU Leuven, Belgium
*Title: Postdoctoral researcher
*Specialty: Text mining, machine learning
*Location: Leuven, Belgium
*Deadline: July 31, 2018
*Date posted: June 18, 2018
*Contact: sien.moens@cs.kuleuven.be

We offer a two-year postdoctoral position funded by the EU ITEA3 project PAPUD "Profiling and Analysis Platform Using Deep Learning” (https://itea3.org/project/papud.html). The principal investigator is Prof. Sien Moens. The scope of the project is to build a universal model for data analytics using deep learning in order to help today’s businesses to make sense out of data. The postdoctoral position focuses on multilingual text mining and more specifically on interlingual content representations and methods of transfer learning with applications in multilingual topic modelling, content classification (e.g., opinion and argumentation mining) and question answering. The candidate will perform cutting-edge artificial intelligence research in the context of a European consortium composed of renowned academic and industrial partners.

Responsibilities

*Design and develop machine learning methods for multilingual text mining.
*Carry out some teaching duties, which may include lectures/exercise sessions, the organization of student seminars, and the supervision of bachelor or master theses.

Prerequisites

*You have (or are near completion of) a PhD in Computer Science (or a related field).
*You have a motivated interest in and knowledge of text mining and machine learning, including probabilistic graphical models and deep learning.
*You have a solid track record of publications in relevant international peer-reviewed A ranked conferences and journals.
*You have a profound interest in collaborating with the industry on applications of text mining and willing to contribute to a deep learning text analytics platform.
*You have a very good knowledge of English, both spoken and written.
*You are highly motivated, ambitious and result-oriented.

Offer

*We offer a two-year postdoctoral position, starting in September 2018 (negotiable).
*We offer a competitive wage and yearly budget to attend conferences.

Interested

If interested, send your CV including publication list, motivation letter and two recommendation letters by e-mail to Prof. dr. Sien Moens (sien.moens@cs.kuleuven.be) as soon as possible and the latest by July 31, 2018. For more information please contact Prof. dr. Sien Moens: tel.: +32 16 32 53 83. Excellent candidates will be invited for an interview (possibly via Skype).

The research team

The Language Intelligence & Information Retrieval (LIIR) lab (https://liir.cs.kuleuven.be) of KU Leuven, Belgium is part of the Human Computer Interaction (HCI) unit in the Department of Computer Science. The members of the lab are especially interested in natural language processing and understanding, multimedia mining, machine learning and information retrieval. They study well-informed theoretical models as well as challenging applications, often empowered by big data sets. They investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. LIIR has a special interest in statistical multimodal representation learning where we explore the complementarity of language and visual data. The developed technologies are, among others, applied in the domains of bioinformatics, business intelligence, e-commerce analytics, electronic message filtering, news search and mining, user generated content mining, and World Wide Web mining and search, and contribute to the field of data science in these areas. Through its collaborations LIIR connects to other disciplines including speech processing, computer vision, data mining, artificial intelligence, cognitive science, and human-computer interaction.

The university

KU Leuven is situated in a historic university town close to Brussels, the capital of Europe. It features an excellent Computer Science department providing a stimulating research environment. All programmes at this university are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!
PhD positions in DFG Graduate School AIPHES, TU Darmstadt

*Employer: DFG Graduate School AIPHES, Technische Universität Darmstadt, Germany
*Title: Doctoral researcher
*Specialty: deep learning, summarization
*Location: Darmstadt
*Deadline: June 27, 2018
*Date posted: June 18, 2018
*Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The Research Training Group “Adaptive Information Preparation from Heterogeneous Sources” (AIPHES), which has been established in 2015 at Technische Universität Darmstadt and at Ruprecht Karls University Heidelberg is filling two positions for three years, starting as soon as possible, located in Darmstadt and associated with UKP Lab (Prof. Iryna Gurevych). Positions remain open until filled. The positions provide the opportunity to obtain a doctoral degree with an emphasis in natural language processing tasks such as structured summaries of complex contents, abstractive summarization, or a related area. Applicants should be willing to work on cross-lingual, cross-modality and domain-independent methods. Prior experience in transfer learning, multi-task learning, adversarial learning, deep reinforcement learning or related methods is a plus.

The goal of AIPHES is to conduct innovative research in knowledge acquisition on the Web in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, computer vision, and data and information management will be developed. AIPHES investigates a novel, complex scenario for information preparation from heterogeneous sources. It interacts closely with end users who prepare textual documents in an online editorial office, and who should therefore benefit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.

AIPHES emphasizes close contact between the students and their advisors with regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. Participating research groups at Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Claudia Schulz), Machine Learning (Prof. Kersting), Visual Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at Ruprecht Karls University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of the Heidelberg Institute for Theoretical Studies (HITS). AIPHES strives to publish its results at leading scientific conferences and is actively supporting its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.

Prerequisites

We are looking for exceptionally qualified candidates with a degree in Computer Science, Machine Learning, NLP, or a related study program. We expect the ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Prior experience in scientific work is a plus. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

The research environment is excellent. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. UKP Lab is a highly dynamic research group committed to top-level conferences, technologies of the highest standards, cooperative work style and close interaction of team members. Its BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasizes NLP, machine learning and text mining. The large-scale argument mining project allows searching large document collections in response to a user-defined topic: neural networks determine relevant pro and con arguments in real-time, and represent them in a concise summary.

Applications should include a motivational letter that refers to one of the planned research areas of AIPHES, a CV with information about the applicant’s scientific work, certifications of study and work experience, as well as a thesis or other publications in electronic form. Application materials must be submitted via the following form by June, 27th, 2018:

https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/

In addition, applicants should be prepared to solve a programming and a reviewing task in the first two weeks after their application.
Postdoc position: Bocconi University, Milan

*Employer: Bocconi University
*Title: Postdoctoral Researcher
*Location: Milan, Italy
*Deadline: June 22nd, 2018, 5 p.m.  
*Starting date: as early as possible, but no later than September 2018
*Duration: 1 year  
*Date Posted: June 18, 2018
*Contact: Paola Cillo (paola.cillo@unibocconi.it)
*URL: https://bit.ly/2JW2tKZ (select the Gucci Lab call)

Gucci Research Lab (GRL) is a unique partnership between Bocconi University and Gucci to identify and study the trends that define the way in which organizations are evolving. This position is part of a larger project by the Gucci Lab at Bocconi on the effects of a change in a firm’s leadership positions on the firm’s culture and its performance. Part of the project involves the textual analysis of internal documents (e.g., emails), before and after the leadership change. To provide an example, textual analysis of these documents will be conducted to identify power relationships within the organization and study how they evolved over time.

REQUIREMENTS/QUALIFICATIONS  

The successful candidate will work actively on novel directions in deep learning, multi-task learning, and neural networks.  The candidate is expected to have:

*a Ph.D. or equivalent in Computer Science, Computational Linguistics/NLP, Mathematics or related fields.
*Good programming skills in Python.
*Fluent English. Knowledge of other languages is more than welcome.  Knowledge of Italian is NOT a requirement.
*Knowledge of current neural network models, especially Word2Vec and Doc2Vec, and tools for neural networks (e.g. Tensorflow, Keras, PyTorch, etc.).
*Publications in top-tier venues in the field of Computational Linguistics.
*Experience in Ph.D. student supervision is a plus.
*Salary: 43,310.50 euros per annum

HOW TO APPLY  

The application must be sent to Faculty and Research Division of Bocconi University (addressing the Rector) just via email at recruiting_ricerca@unibocconi.it You can find more information about the project and call here: https://bit.ly/2t1DnAO
Postdocs: Johns Hopkins University

*Employer: Johns Hopkins University
*Title: Postdoctoral Researcher
*Location: Baltimore, MD
*Deadline: Applications will be accepted until positions are filled
*Date Posted: June 6, 2018
*Contact: clspsearch@clsp.jhu.edu
*URL: https://www.clsp.jhu.edu/employment-opportunities/

The Center for Language and Speech Processing (CLSP) at the Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech, natural language processing and machine learning. Applicants must have a Ph.D. in a relevant discipline and a strong research record.

The center has a number of postdoctoral positions available. A single application will be considered for all open positions (except for one position as noted below). You need not indicate a specific position, but you may include a strong preference in an optional cover letter.

Example topics include:

*Cross-lingual Information Retrieval
*Trend Detection in Social Media
*Social Media and Mental Health
*Analysis of Clinical Medical Text
*Broadly Multilingual Learning of Morphology and Low-Resource Machine Translation
*NLP and Machine Learning for Clinical Data Analysis

Johns Hopkins University is a private university located in Baltimore, Maryland. The campus provides easy access to a number of affordable and vibrant neighborhoods and waterfront dining options. Hopkins is also connected to Washington DC (40 mins), Philadelphia (1.5 hours) and New York city (2.5 hours) via direct trains and buses.

CLSP is one of the world’s largest academic centers focused on speech and language. CLSP is home to a dozen faculty members, half a dozen postdocs, and over 60 graduate students. It has a history of placing students in top academic and industry positions, with a large network of alumni at Google, Amazon, Microsoft Research, Bloomberg, IBM Research, Facebook, Twitter, Nuance, BBN, and numerous startups.

Applicants are not required to be to US citizens or permanent residents.

Questions about specific projects should be directed to the contact information associated with the project. General inquiries may be sent to clspsearch@clsp.jhu.edu.

Details and application information: http://www.clsp.jhu.edu/employment-opportunities/

Research Fellow in Software Engineering with a Focus on Natural Language Processing at University of Tartu, Estonia

*Employer: University of Tartu, Institute of Computer Science, Software Engineering group
*Title: Research Fellow
*Speciality: Software engineering, machine learning, natural language processing
*Location: Tartu, Estonia
*Deadline: June 4, 2018
*Date posted: May 21, 2018
*Contact: Dietmar Pfahl, Kairit Sirts (<firstname>.<lastname>@ut.ee)

Postdoctoral position
Applications are invited for a position of Research Fellow at the Software Engineering and Information Systems Research Group, Institute of Computer Science, University of Tartu. The institute is the leading Computer Science department in the Baltics and is one of the top-2 in Central and Eastern European universities according to the field-specific Times Higher Education Ranking 2017. The Software Engineering and Information Systems group conducts research in the fields of data-driven software engineering decision support, business process management, and secure information systems design. The group is composed of 25 members, including 12 PhD students. The group places a strong emphasis on research excellence and quality of its research publications. The institute has strong ties with the local industry and manages a portfolio of half a dozen research projects in cooperation with industry partners.

The successful candidate will conduct research in the field of data-driven software engineering decision support, within a team that brings together researchers specialized in software analytics, software evolution, software quality assurance, agile development methods, data mining and natural language processing. The research fellow will be expected to contribute to ongoing research projects which aim at exploiting advanced data science methods in one or more of the following application domains:

*open innovation,
*energy-efficient software development,
*software testing.

The research to be conducted is interdisciplinary. In particular, we will be closely collaborating with the natural-language processing group to leverage their expertise on analyzing unstructured data.

Requirements
Candidates must have a PhD in Computer Science or a related discipline. Expertise in at least one of the following topics is essential: software testing, static code analysis, software evolution/maintenance, machine learning. Experience in developing research prototypes and working in collaborative research projects is desirable. The position is not term-limited. Funding is already secured for the first two years of the appointment. The continuation of the position after the first two years will depend on further funding. Remuneration will be up to 2400 euros/month. Estonia applies a flat income tax of 20% on salaries and provides public health insurance for employees.

The expected start date is 1 September 2018, but a later start date can be negotiated.

The deadline for applications is 4 June 2018. The application procedure is outlined in the official advertisement at the University's website.
Postdoctoral research positions in cybersecurity, natural language processing, and experimental social psychology at SUNY Albany

*Employer: University at Albany, Research Foundation of the State University of New York, ILS Institute
*Title: Postdoctoral researcher
*Speciality: Cybersecurity, natural language processing, machine learning, experimental design
*Location: Albany, New York, USA
*Deadline: July 31, 2018
*Date posted: May 18, 2018
*Contact: Tomek Strzalkowski (tomek {at} albany.edu)

Postdoctoral positions

*The Personalized AutoNomous Agents Countering Social Engineering Attacks (PANACEA) Project. The PANACEA Project is a joint effort of communication and computer science faculty at the University at Albany, SUNY, as well as researchers at other institutions. The project aims to design, develop, and evaluate an automated system that will protect online users against current and future forms of social engineering attacks. The system will serve as an intermediary between attackers (human, automated, hybrid, coordinated) and the potential victims they target by addressing and eliminating human vulnerabilities in current cyber defense capabilities. The objectives of the project include detection and classification of social engineering attacks as well as active defenses, including engaging and identifying of the attackers.
*The Computational Ethnography from Metaphors and Polarized Language (COMETH) Project. The COMETH project is a joint effort of computer science and psychology faculty at the University at Albany. The project aims to develop and validate novel computational methodology for automatically acquiring cultural models that represent the worldviews of communities and subcultures operating within the larger society. These models will be obtained using advanced natural language processing and machine learning techniques on data from online media outlets produced by different communities. The objectives of this research include (a) capturing prevalent community attitudes (sentiment and beliefs) toward key concepts such as government, rights, economic inequality, etc.; (b) showing how these attitudes evolve over time, including in response to external influences (e.g., national or international events); and (c) explaining how this system of attitudes acts like an interpretive and defensive tool by allowing the community to reject or distort incoming information.

Requirements for the PANACEA position
For the PANACEA project, we seek a postdoctoral researcher to join our interdisciplinary team. The candidate must have a Ph.D. in Computer Science from an accredited college or university that was granted within the last 3 years, and evidence of advanced scholarly research in a relevant field. This position starts September 1, 2018.

*The candidates are expected to have the following skills: in-depth knowledge of current issues and methods in cybersecurity, natural language processing, socio-behavioral computing, human-computer dialogue, statistical methods of data analysis, and machine learning. Familiarity with empirical method of data collection and model validation is preferred. Programming expertise is essential including substantial experience with Java, Python, and C++ programming environment, as well as with Windows, Linux and Unix platforms. Linguistic background and familiarity with methods of conversational analysis is a plus.

Requirements for the COMETH positions
For the COMETH project, we seek two postdoctoral researchers: one in computer science and one in psychology. The candidates must have a Ph.D. in Computer Science or Psychology from an accredited college or university that was granted within the last 3 years, and evidence of advanced scholarly research in a relevant field. These positions start December 1, 2018.

*The computer science candidates are expected to have the following skills: in-depth knowledge of current issues and methods in natural language processing, data science, domain modeling, socio-behavioral computing, statistical methods, and machine learning. Familiarity with empirical method of data collection and model validation is preferred. Programming expertise is essential including substantial experience with Java, Python, and C++ programming environment, as well as with Windows, Linux and Unix platforms. Linguistic background and familiarity with sentiment analysis and metaphor extraction is a plus.
*The psychology candidates are expected to have following skills: substantial experience with experimental design and advanced statistical methods in experimental social psychology, and knowledge of political psychology. Experience with open science and pre-registration of research protocols will be beneficial.

Overall Requirements

*For all postdoctoral researchers: duties include advanced research and development under the direction of the project faculty, report preparation and coordination of work of graduate student assistants. Ability to execute substantial tasks within large projects in timely fashion is essential. Candidates must also address in their applications, their ability to work with a culturally diverse population.

The postdoctoral researcher appointment review will begin immediately and will close once filled. The successful candidates will be located in the Institute for Informatics, Logics, and Security Studies at the University at Albany, SUNY. The appointment is for 40 hours a week, initially for 12 to 18 months, and potentially extendible for up to 48 months, depending on the project. Expected start dates are September 1, 2018 and December 1, 2018, pending funding approval from the Federal Government sponsor. The salary is commensurate with experience.

How to Apply

Interested individuals should direct inquiries and submit a cover letter, resume, and three letters of reference to: Prof. Tomek Strzalkowski, Director ILS Institute, University at Albany, tomek {at} albany.edu
Two PhD positions in deep learning for natural language understanding and summarisation at Idiap, Switzerland

*Employer: Idiap Research Institute, Natural Language Understanding group
*Title: Two PhD positions
*Speciality: Natural Language Understanding, Summarisation, Machine Learning
*Location: Martigny, Switzerland
*Deadline: May 31, 2018
*Date posted: April 30, 2018
*Contact: James Henderson (james.henderson@idiap.ch)

Two PhD positions

The Idiap Research Institute seeks qualified candidates for two PhD student position in the field of natural language understanding, developing deep learning methods for textual entailment and opinion summarisation.

The research will be conducted in the framework of the Swiss NSF funded project Learning Representations of Abstraction for Opinion Summarisation. One of the successful candidates will investigate modelling abstraction relationships between texts (textual entailment), and the other will investigate summarising large collections of opinions (opinion summarisation). Opinion summarisation must abstract away from the details of individual opinions to find consensus statements which are entailed by a significant proportion of opinions.

This project will model these natural language understanding tasks through fundamental advances in representation learning and deep learning architectures. The work will start from Dr. Henderson's work on modelling abstraction in deep learning architectures, where learned vectors represent entailment rather than the usual similarity. Successes in the unsupervised learning of word vectors for entailment will be extended to deep learning architectures for the compositional semantics of texts. Methods for finding the intersection of information in vectors will be extended to clustering texts by their shared content and generating abstract summaries.

The ideal PhD candidate should hold a Master degree in computer science, computational linguistics or related fields. She or he should have a background in machine learning, optimisation, or natural language processing. The applicant should also have strong programming skills.

The successful PhD candidates will join the Natural Language Understanding group at Idiap, under the supervision of Dr. James Henderson. They will also become doctoral students at EPFL conditional on parallel application to, and acceptance by, the EPFL Doctoral School. Appointment for the PhD position is for a maximum of 4 years, provided successful progress, and should lead to a dissertation. Annual gross salary ranges from 47,000 Swiss Francs (first year) to 50,000 Swiss Francs (last year). Starting date is to be negotiated, within 2018. All queries related to the advertised position can be sent to Dr. James Henderson (james.henderson@idiap.ch).

Please apply online here: http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710241%27%7D

Idiap

Idiap is an independent, not-for-profit, research institute funded by the Swiss Federal Government, the State of Valais, and the City of Martigny. It is located in a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and offering exceptional quality of life, exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. It is within close proximity to Lausanne and Geneva. Idiap is an equal opportunity employer and is actively involved in the "Advancement of Women in Science" European initiative.

2 postdoctoral research positions in text mining and natural language understanding at KU Leuven, Belgium

*Employer: KU Leuven, Department of Computer Science, Language Intelligence and Information Retrieval lab
*Title: Postdoctoral researcher
*Speciality: Text mining, natural language understanding, machine learning
*Location: Leuven, Belgium
*Deadline: May 21, 2018
*Date posted: April 23, 2018
*Contact: Sien Moens (sien.moens {at} cs.kuleuven.be)

Postdoctoral positions

*Postdoctoral position on the topic of multilingual text mining. The goal is to build interlingual representations that allow multilingual topic modelling, content classification (e.g., opinion and argumentation mining) and question answering. This postdoctoral position will be funded by the EU ITEA3 grant PAPUD and offers a contract for two years. The position will start as soon as possible.
*Postdoctoral position on the topic of multimodal representation learning. The goal is to learn continuous representations that represent language grounded in visual perception (static images and video), assist in the design of novel machine learning architectures, and investigate suitable data structures for real-time search of the representations. This postdoctoral position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS and offers a contract for two years (with the possibility of renewal for another two years). The position will start September 1, 2018.

Requirements

*PhD in computer science or equivalent.
*Motivated interest in and preferably knowledge of (as demonstrated by publications in highly recognized venues such as ACL, EMNLP, ICML, NIPS, etc.) of natural language processing and machine learning, including deep learning and learning of latent variable models. For the second postdoctoral position, interest or experience in semantic hashing is a plus.

The successful candidates will have an opportunity to work on cutting-edge natural language processing, multimedia processing and machine learning research. He/she will be given the opportunity for personal development beyond research, for example by contributing to departmental teaching at the undergraduate and graduate levels. KU Leuven is an institution for research and education with international appeal. All programmes at this University are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!
2 PhD positions in natural language understanding at KU Leuven, Belgium

*Employer: KU Leuven, Department of Computer Science, Language Intelligence and Information Retrieval lab
*Title: PhD researcher
*Speciality: Natural language understanding, machine learning
*Location: Leuven, Belgium
*Deadline: May 21, 2018
*Date posted: April 23, 2018
*Contact: Sien Moens (sien.moens {at} cs.kuleuven.be)

PhD positions

*PhD position on the topic of multimodal representation learning trained on language and visual data. The goal is to learn continuous representations of language grounded in visual data (static images and video) including the design, implementation and evaluation of novel machine learning architectures that capture textual as well as visual grammars. The learned representations will serve as commonsense knowledge in language understanding tasks. This PhD position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS. The position starts September 1, 2018.

*PhD position on the topic of semantic parsing of natural language sentences and discourse. The goal is to learn compositional models that take into account continuous representations of objects, their attributes and likely relationships. An additional focus is on using the compositional models to efficiently parse language in real-time. This PhD position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS. The position starts September 1, 2018.

Requirements

*Master degree in computer science or equivalent.
*Motivated interest in and preferably knowledge of (as demonstrated in master thesis or master course work) of natural language processing, machine learning, including deep learning and learning of latent variable models, semi-supervised machine learning, and constrained optimization.

The successful candidates will have an opportunity to work on cutting-edge natural language processing, multimedia processing and machine learning research. He/she will be given the opportunity for personal development beyond research, for example by contributing to departmental teaching at the undergraduate and graduate levels. KU Leuven is an institution for research and education with international appeal. All programmes at this University are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!
Associate Research Scientist (NLP, machine learning and text mining), TU Darmstadt

*Employer: UKP Lab, Technische Universität Darmstadt, Germany
*Title: Associate Research Scientist
*Specialty: NLP, machine learning, text mining
*Location: Darmstadt
*Deadline: March 28, 2018
*Date posted: March 19, 2018
*Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist (PostDoc- or PhD-level; for a term of three years with an extension option)

This position is intended to strengthen the profile of the lab in a research area within natural language processing (NLP), machine learning and text mining, such as word-/sentence-/discourse-level semantics, robust textual inference, and the applications of the above in higher-level NLP, such as QA, text summarization, argument mining, etc. The lab closely cooperates with the groups in machine learning, computer vision, and interactive data analytics of the Computer Science department and many other research labs and companies. Besides, the lab conducts research projects in close cooperation with the users in the humanities and social sciences.

We ask for applications from highly qualified candidates with a specialization/PhD in NLP/Text Mining, preferably with relevant research and teaching experience and strong communication skills in English and German (optional). Individual career development plans can be worked out. E.g. the successful candidate will contribute to research activities described above and – based on the previous experience and qualifications – will be given an opportunity to grow, i.e. to teach courses, co-supervise PhD students, and manage research projects. Outstanding candidates (at M.Sc.-level, without a PhD) are invited to apply and can be considered for a PhD-level position with an adjusted scope of responsibilities. The position being filled is based on the university funds.

The research environment is excellent. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones among the German universities. Its unique Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG and the BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasize NLP, machine learning and text mining. UKP Lab is a highly dynamic research group committed to top-level conferences, technologies of the highest standards, cooperative work style and close interaction of team members.

Applications should include a detailed CV, a motivation letter, an outline of previous working or research experience and the names of three referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the application form by March 28, 2018. The position is open until filled.
PhD positions in DFG Graduate School AIPHES, TU Darmstadt: Natural Language Processing and Machine Learning

*Employer: Technische Universität Darmstadt
*Title: Doctoral researcher
*Speciality: Natural Language Processing and Machine Learning
*Location: Darmstadt
*Deadline: April 3, 2018
*Date posted: March 19, 2018
*Contact: AIPHES recruitment form

The Research Training Group "Adaptive Information Preparation from Heterogeneous Sources" (AIPHES), which has been established in 2015 at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling two positions for three years, starting as soon as possible, located in Darmstadt and associated with UKP Lab (Prof. Iryna Gurevych). Positions remain open until filled.

The positions provide the opportunity to obtain a doctoral degree with an emphasis in natural language processing tasks such as structured summaries of complex contents, in content selection and classification enhanced by reasoning, or a related area.

The goal of AIPHES is to conduct innovative research in knowledge acquisition on the Web in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, computer vision, and automated quality assessment will be developed. AIPHES will investigate a novel, complex scenario for information preparation from heterogeneous sources. It interacts closely with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.

AIPHES emphasizes close contact between the students and their advisors with regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. Participating research groups at Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Claudia Schulz), Machine Learning (Prof. Kersting), Visual Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at Ruprecht Karls University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of the Heidelberg Institute for Theoretical Studies (HITS). AIPHES strives to publish its results at leading scientific conferences and is actively supporting its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.

Prerequisites

We are looking for exceptionally qualified candidates with a degree in Computer Science, Machine Learning, NLP, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Prior experience in scientific work is a plus. Applicants should be willing to work on lesser-resources languages, e.g. German, and, if necessary, to acquire basic German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

The research environment is excellent. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. UKP Lab is a highly dynamic research group committed to top-level conferences, technologies of the highest standards, cooperative work style and close interaction of team members. Its BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasizes NLP, machine learning and text mining. The large-scale argument mining project allows searching large document collections in response to a user-defined topic: neural networks determine relevant pro and con arguments in real-time, and represent them in a concise summary.

Applications should include a motivational letter that refers to one of the planned research areas of AIPHES, a CV with information about the applicant’s scientific work, certifications of study and work experience, as well as a thesis or other publications in electronic form. Application materials must be submitted via the following form by April 3rd, 2018: https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/

In addition, applicants should be prepared to solve a programming and a reviewing task in the first two weeks after their application.
Tenure track at IDSIA (Switzerland) in Natural Language Understanding and Text Mining

*Employer: IDSIA (www.idsia.ch)
*Title: Tenure track
*Specialty: Natural Language Understanding and Text Mining
*Location: Lugano, Switzerland
*Deadline: March 31th, 2018 (start date flexible)
*Date posted: March 16, 2018
*Contact email: Giorgio Corani (giorgio.corani@supsi.ch)

Project Description
The person hired on this position will evenly share her/his working time on two main activities:

*Basic research, aiming at publications in highly rated journals and international conferences;
*Applied research, collaborating with industrial partners in cutting-edge projects.

A further cross-activity will be contributing to search for funding opportunities of both basic and applied research.

The involved research area regards natural language understanding (probabilistic language modeling, keyword extraction, text summarization), text mining (text classification, word embedding, topic models) and semantic analysis of the text.

Requirements

*The position is for a young researcher who has already obtained a PhD on a topic relevant to Natural Language Processing and/or Text Mining;
*Master in informatics or other areas with strong emphasis on computation;
*Excellent programming skills and deep knowledge of libraries for natural language processing;
*Communication and collaboration skills.
*Proficiency in written and spoken in English.

Optional but preferential

*Strong publications record;
*Capability of leading projects carried out with industrial partners on automatic analysis of documents;
*Good knowledge of machine learning algorithms and tools;
*Good knowledge of written and spoken Italian, or willingness to learn it in short times.

We offer

*A tenure track position (degree of occupancy 100%)
*International working environment;
*Collaboration with a strong team of researchers in Machine Learning and Statistics (our publication record is available at: [8]);
*Salary starting from 80,000 CHF / year (about 84,000 $/year)

Application
Applicants should submit the following documents, written in English:

*curriculum vitae
*list of exams and grades obtained during the Bachelor and the Master of Science;
*list of three references (with e-mail addresses);
*brief statement on how their research interests fit the topics above (1-2 pages);
*publications list and possibly link to the thesis.

Applications should be submitted through the Application website
Postdoctoral position in Psychology at University of Pennsylvania

*Employer: University of Pennsylvania
*Title: Postdoctoral Researcher
*Specialty: Computational Linguistics
*Location: Philadelphia, Pennsylvania
*Deadline: March 20th, 2018 (start date flexible)
*Date posted: February 27, 2018
*Contact email: Sudeep Bhatia (bhatiasu@sas.upenn.edu)

Project Description
The researcher will study how word embeddings and related techniques can be used to model how people represent objects and events, and, in turn, predict human probability judgment, event forecasting, social judgment, risk perception, and consumer behavior.

Requirements
Candidates should have completed (or should be about to complete) a PhD in Computer Science, Psychology , Cognitive Science, or related fields, and should be interested in applying natural language processing to address questions in Psychology, Policy, Economics, and Marketing. Applicants should have graduate-level expertise in natural language processing and machine learning.

Additional Details
The position will be based in the Psychology department at the University of Pennsylvania, and will be supervised by Sudeep Bhatia. Lyle Ungar will serve as a second advisor. The postdoctoral researcher will also be encouraged to interact with the broader intellectual community at Penn. The appointment is expected to begin Sept 1, 2018 (start date is flexible). The term of hiring is one year, renewable for up to one additional year. The position is full time and there are no teaching or administrative responsibilities.

How to Apply
Applications for the positions must be submitted by March 20th, 2018, to ensure full consideration. However, review of applications will continue until the position is filled. Applicants should email a curriculum vitae and contact information for two references to Sudeep Bhatia at bhatiasu@sas.upenn.edu.
Postdoctoral Research Scientist: Computational Linguistics - Rochester Institute of Technology

*Employer: Rochester Institute of Technology
*Title: Postdoctoral Research Scientist
*Specialty: Postdoctoral Research Scientist: Computational Linguistics
*Location: Rochester, New York, United States
*Deadline: Open until filled
*Date posted: February 17, 2018
*Contact: Cecilia O. Alm (coagla@rit.edu)
*Job listing

We invite applications for an interdisciplinary postdoctoral position with specialization in computational linguistics and/or technical or scientific methods in language science at Rochester Institute of Technology (RIT), in Rochester, NY. This is a one-year position with opportunity for renewal. The applicant should demonstrate a fit with our commitment to collaborate with colleagues across the university on research initiatives in Personalized Healthcare Technology. In addition to engaging in research projects, the right candidate will be able to teach a total of two courses per year - one course each in the College of Liberal Arts and the Golisano College of Computing and Information Sciences at RIT. The teaching assignment may be Computer Science Principles, Introduction to Language Science, Language Technology, Introduction to Natural Language Processing, Science and Analytics of Speech (acoustic and experimental phonetics), Spoken Language Processing (automatic speech recognition and text-to-speech synthesis), Seminar in Computational Linguistics, or another course depending on background.

Required Minimum Qualifications:

*PhD., with training in Computational Linguistics, Linguistics, or an allied field
*Advanced graduate coursework in computational linguistics (natural language processing or speech processing), linguistics, or language science broadly
*Publication record and plan for research and grant seeking activities
*Ability to contribute in meaningful ways to our commitment to cultural diversity, pluralism, and individual differences

Required Application Documents:
Cover Letter, Curriculum Vitae or Resume, List of References, Research Statement

How To Apply:
Please apply at: http://careers.rit.edu/staff. Click the link for search openings and in the keyword search field, enter the title of the position or 3599BR.
Postdoctoral Research Fellow: Automated Text Analysis - University of Michigan

*Employer: University of Michigan
*Title: Research Fellow
*Specialty: Postdoctoral Research Fellow: Automated Text Analysis
*Location: Ann Arbor, Michigan, United States
*Deadline: March 12, 2018, desired start June 2018
*Date posted: February 12, 2018
*Official Job Listing - Application Page

How to Apply
A cover letter is required for consideration for this position and should be included as the first page of your CV. The cover letter should outline your specific interest in the position and outline skills and experience that directly relates to this position.

Job Summary
A generously funded project (2016-2021) welcomes applicants with interest in and expertise in automated text analysis. The project, M-Write, brings together researchers from writing studies, the natural sciences, and computer programming to investigate how Writing-to-Learn pedagogies promote conceptual learning by students in large-enrollment gateway courses. Students write in response to carefully crafted assignments, participate in automated peer review, and then revise their drafts. Approximately 10,000 students have already participated in M-Write courses, which means that there is already a large corpus of student writing and peer review responses, with more being added each semester. We seek a specialist in automated text analysis to join the research team. Goals include principled corpus compilation, analysis, and development of corpus-driven algorithms to support student learning of key concepts highlighted in assignments.

This position will be a 12-month Post-Doctoral Fellowship beginning in June 2018 with possibility of renewal. The salary is negotiable.

Responsibilities

*Retrieve and create corpora for NLP and associated linguistic analysis
*Develop and test systems for identifying students who appear to lack key concepts as defined by lexical and grammatical structures, discourse analysis, and possible sentiment analysis
*Design a data warehouse that will facilitate the ability to collect, manage, and archive data including student interviews, student surveys, student writing samples, and academic and demographic data for students in order to conduct research leading to peer-reviewed publications, and future external funding
*In collaboration with other project staff collect, manage, and archive data including student interviews, student surveys, student writing samples, and academic and demographic data for students in order to conduct research that could lead to peer-reviewed publications
*Organize, synthesize, and analyze project data, and write co-authored papers with project PIs for peer-reviewed articles

Required Qualifications
Ph.D. in computational linguistics, natural language processing, machine learning, cognitive linguistics, sentiment analysis or related area. Previous research experience in textual analysis in terms of syntax (e.g. parts of speech tagging), semantics (e.g. topic segmentation) and discourse analysis is essential. Research in statistical modeling is also required. Strong computer science skills are essential, and data warehouse design skills are highly desired. Background in the theory and research of writing-to-learn pedagogies and experience with educational technology in natural language processing are desired but not required.

Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act.

U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.

CU Boulder: Postdoc in Machine Learning with an Emphasis on Speech and Language Processing

*Employer: University of Colorado Boulder
*Title: Postdoctoral Associate
*Specialty: Machine Learning, Speech and Language Processing
*Location: Boulder, Colorado, United States
*Deadline: Ongoing, desired start August 2018
*Date posted: February 9, 2018
*Contact: Dr. Sidney D’Mello

Postdoc in Machine Learning with an Emphasis on Speech and Language Processing
(Department of Computer Science and Institute of Cognitive Science at the University of Colorado Boulder)

The Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral research associate starting August 2018 for one year and renewable for a second (and third) year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.

The successful candidate will conduct research in machine learning applied to speech and language processing to solve challenging, but impactful, real-world problems. He/she will participate in the development and application of advanced machine learning techniques (e.g., deep recurrent neural networks) to multi-party speech data collected in authentic contexts (e.g., classroom discourse, small group collaborative problem solving).

The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science and the Institute of Cognitive Science.

The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop new technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills by mentoring students, and gain expertise in co-authoring grant proposals.

Required

*Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire
*Research experience in advanced machine learning (e.g., deep learning, probabilistic graphical models)
*Evidence of a strong publication record in the aforementioned areas

Desired

*Research experience in one or more of the following areas: acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling

Job Details

*One year initial position with possible extension to a second and third year based on performance and availability of funds
*Desired start date is August 2018. However, start date is negotiable
*Competitive salary with benefits commensurate with qualifications

How to Apply
Please complete the following form: https://tinyurl.com/CUPostDoc1 and upload the following required documents: (1) cover letter, (2) current CV, and (3) one or two representative publications as a single PDF document named FirstNameLastName.pdf.

Additional documents will be required from candidates selected for further review after the initial documents are received: (4) – The document uploaded for Proof of Degree can be a Transcript which shows the date the degree was conferred; Copy of Diploma; or official letter from the Registrar or the Dean of the School or College conferring the degree; and (5) – List of references

About the University of Colorado and the City of Boulder
The University of Colorado Boulder is a widely recognized and respected research university in the U.S. Its 11 research institutes house more than 900 researchers, students, and staff, making a major contribution to the research infrastructure of the university and local economy. Boulder is one of the 34 public research institutions belonging to the Association of American Universities (AAU). It contributes to the local community via research partnerships, education opportunities, and development projects.

The city of Boulder hosts thriving tech industries, supports a renowned entrepreneurial community, has some of the region's best restaurants, and is home to many federal research labs. There are endless ways to enjoy Boulder's 300-plus days of sunshine a year — from the hundreds of miles of hiking and biking trails to some of the country's finest microbrews. It's also quick and easy to get around by bus or bike and a quick 25 mile ride to nearby Denver.

Special Instructions to Applicants
The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.

The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at adacoordinator@colorado.edu.

Full-time Researchers, IBM Research - Almaden

*Employer: IBM Research - Almaden
*Title: Research Staff Member
*Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas
*Location: San Jose, California, USA
*Deadline: June 1, 2018
*Date posted: January 31, 2018
*Contact: Yunyao Li (yunyaoli {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)

IBM Research - Almaden is looking for talented researchers with background in Natural Language Processing and Machine Learning to join the Natural Language Processing, Entity Resolution and Discovery Department. We are actively building the next-generation knowledge engineering platform for the creation, maintenance and consumption of "industry-specific" knowledge bases from a large number of (un/semi)structured public, licensed and enterprise content sources. Such industry-specific knowledge bases are the foundation of many emerging AI services and applications.

Such a platform needs to support the entire life cycle for knowledge engineering including:

*Creation, maintenance and evolution of domain schema to capture domain concepts of interest
*Scalable systems, tools and methodologies to support the development of individual analytic stages involved in creating knowledge from multiple sources, including text analytics, entity resolution and integration, cleansing, data transformations and machine learning
*Domain adaptability and easy-to-use interfaces for key user personae for the individual analytic stages
*Scalable content services infrastructure that enables production-level deployment of these analytic workflows with support for continuous monitoring, introspection and recovery in the knowledge base creation process
*Techniques and methods for scalable and flexible indexing and querying support over the knowledge base supporting structured and search style queries, entity queries, as well as ad-hoc and exploratory queries
*Easy-to-use knowledge consumption interfaces for both human and machine consumption including support for discovery and ad-hoc NLQ driven interfaces
*Incorporating crowd sourcing and continuous evolution of the system through learning from user interactions

The research builds upon and extends successful projects from our group, which have resulted in significant academic, industrial and open source impact.

*SystemT: http://researcher.watson.ibm.com/researcher/view_group.php?id=1264
*Midas: http://researcher.watson.ibm.com/researcher/view_group.php?id=2171
*SystemML: http://researcher.watson.ibm.com/researcher/view_group.php?id=3174

The research is being conducted in close collaboration with the IBM Watson division and multiple global IBM Research labs (Australia, India, and Zurich), with focus around demonstrating scalable knowledge base construction in multiple industry domains (e.g., Healthcare, Financial and consumer domains).

We are currently looking for talented researchers with interest in system design and implementation as well as experience in one or more areas relevant to the knowledge engineering life cycle as described above, particularly those with background in Natural Language Processing and Machine Learning. You will participate in cutting edge research, build at industrial scale, and keep connected to the larger research community by regularly publishing papers and partnering with universities.

Required

*Bachelor's degree or equivalent in Computer Science, related technical field or equivalent practical experience.
*Programming experience in one or more of the following: Java, C, C++ and/or Python.
*Experience in Natural Language Processing, Computational Linguistics, Machine Learning, Large-Scale Data Management, Data Mining or Artificial Intelligence
*Contribution to research communities and/or efforts, including publishing papers at conferences such as ACL, EMNLP, NIPS, AAAI, ICML, SIGMOD, VLDB, and KDD.

Preferred

*PhD in Computer Science, related technical field or equivalent practical experience.
*Relevant work experience, including experience working within the industry or as a researcher in a lab.
*Ability to design and execute on research agenda.
*Strong publication record.

PhD-level Researchers, AIPHES, Darmstadt/Heidelberg

*Employer: Technische Universität Darmstadt or Ruprecht Karls University Heidelberg, Germany
*Title: Doctoral researcher
*Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas
*Location: Darmstadt or Heidelberg
*Deadline: February 11, 2018
*Date posted: January 21, 2018
*Contact: AIPHES recruitment form

PhD positions in DFG Graduate School AIPHES: Natural Language Processing and Computational Linguistics

The Research Training Group “Adaptive Information Preparation from Heterogeneous Sources” (AIPHES), which has been established in 2015 at Technische Universität Darmstadt and at Ruprecht Karls University Heidelberg is filling several positions for three years, starting as soon as possible. Positions remain open until filled.

The positions provide the opportunity to obtain a doctoral degree in the research area of the training group with an emphasis, e.g., in opinion and sentiment - extrapropositional aspects of discourse, in natural language processing tasks such as structured summaries of complex contents, in content selection and classification enhanced by reasoning, or a related area. The group will be located in Darmstadt and Heidelberg. The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.

The goal of AIPHES is to conduct innovative research in knowledge acquisition on the Web in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, computer vision, and automated quality assessment will be developed. AIPHES will investigate a novel, complex scenario for information preparation from heterogeneous sources. It interacts closely with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.

Participating research groups at Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych), Machine Learning (Prof. Kersting), Visual Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at Ruprecht Karls University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of the Heidelberg Institute for Theoretical Studies (HITS).

AIPHES emphasizes close contact between the students and their advisors with regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and will actively support its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.

Prerequisites

We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be willing to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. The Institute for Computational Linguistics (ICL) of the Ruprecht Karls University Heidelberg is one of the largest centers for computational linguistics both in Germany and internationally. The ICL and the NLP department of the HITS jointly run the graduate program “Semantic Processing” with an integrated research training group “Coherence in language processing: Semantics beyond the sentence”, which has a close connection to the topics in computational linguistics of AIPHES.

Applications should include a motivational letter that refers to one or two of the planned research areas of AIPHES, a CV with information about the applicant’s scientific work, certifications of study and work experience, as well as a thesis or other publications in electronic form. Application materials must be submitted via the following form by February 11th, 2018:

https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/

In addition, applicants should be prepared to solve a programming and a reviewing task in the first two weeks after their application.

Associate Research Scientist, UKP Lab, TU Darmstadt

*Employer: UKP Lab, Technische Universität Darmstadt, Germany
*Title: Associate Research Scientist
*Specialty: Interactive text analysis
*Location: Darmstadt
*Deadline: February 16, 2018
*Date posted: January 21, 2018
*Contact: jobs@ukp.informatik.tu-darmstadt.de

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist (PostDoc- or PhD-level; for an initial term of two years)

in the areas of Interactive Text Analysis, the UKP Lab is looking for a researcher with a background in Natural Language Processing and Software Development to work on the project INCEpTION funded by the German Research Foundation (DFG). The project is developing a comprehensive interactive text analysis platform to improve efficiency and to enable new ways of exploring, annotating and analyzing large-scale text corpora through the use of assistive features based on machine-learning.

We ask for applications from candidates from Computer Science with a specialization in Natural Language Processing, Text Mining, or Machine Learning, preferably with expertise in research and development projects, and strong communication skills. The successful applicant will work on research and development activities regarding text annotation by end-users (researchers, analysts, etc.), information recommendation, and create the corresponding text analysis platform. Ideally, the candidates should have demonstrable experience in designing complex (NLP and/or ML) systems (frontend and backend), in applying NLP-related Machine Learning-based methods, and strong programming skills especially in Java. Experience with neural network architectures and demonstrable engagement in open source projects are strong pluses.

The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), with a rapidly developing focus on Interactive Machine Learning and who provide a range of high-quality open source software packages for interactive and automatic text analysis to research and industry communities.

UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent work environment. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasizes NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest standards, cooperative work style and close interaction of team members.

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the applications to: jobs@ukp.informatik.tu-darmstadt.de by 16.2.2018. The positions are open until filled. Later applications may be considered if the position is still open.

Employment opportunities, postdoctoral positions, summer jobs

2019-08-09T14:46:12Z

ETSOC:

Associate Research Scientist, Speech, EDUCATIONAL TESTING SERVICE, Princeton NJ

Educational Testing Service (ETS), with headquarters in Princeton, NJ, is the world's premier educational measurement institution and a leader in educational research. With more than 3,400 global employees, we develop, administer and score more than 50 million tests annually in more than 180 countries at more than 9,000 locations worldwide. We design our assessments with industry-leading insight, rigorous research and an uncompromising commitment to quality so that we can help education and workplace communities make informed decisions. ETS's Research & Development division has an opening for an associate research scientist in the Speech area of the NLP & Speech research center. The projects in this research group focus on the application of NLP, speech, dialogue, and multimodal processing algorithms in automated scoring capabilities for assessment and learning tasks involving constructed responses (such as essays and spoken responses). In addition to its signature automated scoring systems for text and speech assessments, the group is actively pursuing technology innovation in education and learning spaces by performing foundational research, prototyping next-generation capabilities, and collaborating with academic and industry partners. The NLP & Speech research group currently comprises around 20 PhD-level research scientists, 10 research engineers, and 10 research assistants and administrative staff. This is an excellent opportunity to be part of a world-renowned research and development team and have a significant impact on existing and next-generation NLP, speech, dialogue, and multimodal systems and their use in educational applications. Responsibilities: <ul> <li>Conceptualizing, proposing, obtaining funding for, and directing small projects in the area speech processing for educational applications and assisting in moderate-to-major research projects.</li> <li>Assist in generating or contributing to new knowledge or capabilities in the field of speech processing and in applying that new knowledge and capabilities to existing and/or new ETS products and services. Some speech processing research areas that are relevant to ETS R&D include (but are not limited to) automatic speech recognition for non-native speakers of English, voice biometrics, computer-assisted pronunciation training, and automated speech scoring.</li> <li>Participate in setting substantive research and development goals and priorities for a group or initiative within a vice presidential area.</li> <li>Develop proposals and budgets for small projects and/or assist in development for moderate-to-major ones.</li> </ul> Requires: <ul> <li>Ph.D. in Computer Science, Computational Linguistics, Electrical Engineering, Natural Language Processing, Linguistics, or a similar area with major education in speech processing.</li> <li>At least one year of independent substantive research experience in speech processing is required. Experience can be gained through doctoral studies.</li> <li>Practical expertise with speech processing tools (e.g., kaldi), experience with machine learning toolkits (e.g., Weka, scikit-learn), and fluency in at least one major programming language (e.g. Java, Python).</li> <li>Practical experience with deep learning paradigms and toolkits (e.g., TensorFlow, pytorch, Keras) is highly desirable.</li> <li>Documented contributions to research communities and a strong publication record and experience I system building and prototyping are preferred.</li> </ul> We offer a competitive salary, comprehensive benefits, possible relocation assistance and excellent opportunities for professional and personal growth. For a full list of position responsibilities and to apply please visit the following link: <a href="https://etscareers.pereless.com/index.cfm?fuseaction=83080.viewjobdetail&JID=290092&BUID=2538&cid=83080">Associate Research Scientist, Speech EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of Women and Minorities. EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of protected Veterans and Individuals with Disabilities. EDUCATIONAL TESTING SERVICE is a Drug-free workplace.

Apply Here:http://www.Click2Apply.net/bk2nyzrv9cwpqgdr

PI112670813

Employment opportunities, postdoctoral positions, summer jobs

2019-08-09T14:43:24Z

ETSOC:

Associate Research Scientist, Speech, EDUCATIONAL TESTING SERVICE, Princeton NJ

Educational Testing Service (ETS), with headquarters in Princeton, NJ, is the world's premier educational measurement institution and a leader in educational research. With more than 3,400 global employees, we develop, administer and score more than 50 million tests annually in more than 180 countries at more than 9,000 locations worldwide. We design our assessments with industry-leading insight, rigorous research and an uncompromising commitment to quality so that we can help education and workplace communities make informed decisions.

ETS's Research & Development division has an opening for an associate research scientist in the Speech area of the NLP & Speech research center. The projects in this research group focus on the application of NLP, speech, dialogue, and multimodal processing algorithms in automated scoring capabilities for assessment and learning tasks involving constructed responses (such as essays and spoken responses). In addition to its signature automated scoring systems for text and speech assessments, the group is actively pursuing technology innovation in education and learning spaces by performing foundational research, prototyping next-generation capabilities, and collaborating with academic and industry partners. The NLP & Speech research group currently comprises around 20 PhD-level research scientists, 10 research engineers, and 10 research assistants and administrative staff.

This is an excellent opportunity to be part of a world-renowned research and development team and have a significant impact on existing and next-generation NLP, speech, dialogue, and multimodal systems and their use in educational applications.

Responsibilities:

• Conceptualizing, proposing, obtaining funding for, and directing small projects in the area speech processing for educational applications and assisting in moderate-to-major research projects.
• Assist in generating or contributing to new knowledge or capabilities in the field of speech processing and in applying that new knowledge and capabilities to existing and/or new ETS products and services. Some speech processing research areas that are relevant to ETS R&D include (but are not limited to) automatic speech recognition for non-native speakers of English, voice biometrics, computer-assisted pronunciation training, and automated speech scoring.
• Participate in setting substantive research and development goals and priorities for a group or initiative within a vice presidential area.
• Develop proposals and budgets for small projects and/or assist in development for moderate-to-major ones.

Requires:
• Ph.D. in Computer Science, Computational Linguistics, Electrical Engineering, Natural Language Processing, Linguistics, or a similar area with major education in speech processing.
• At least one year of independent substantive research experience in speech processing is required. Experience can be gained through doctoral studies.
• Practical expertise with speech processing tools (e.g., kaldi), experience with machine learning toolkits (e.g., Weka, scikit-learn), and fluency in at least one major programming language (e.g. Java, Python).
• Practical experience with deep learning paradigms and toolkits (e.g., TensorFlow, pytorch, Keras) is highly desirable.
• Documented contributions to research communities and a strong publication record and experience I system building and prototyping are preferred.

We offer a competitive salary, comprehensive benefits, possible relocation assistance and excellent opportunities for professional and personal growth. For a full list of position responsibilities and to apply please visit the following link: Associate Research Scientist, Speech
EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of Women and Minorities.

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of protected Veterans and Individuals with Disabilities.
EDUCATIONAL TESTING SERVICE is a Drug-free workplace.

Apply Here: http://www.Click2Apply.net/bk2nyzrv9cwpqgdr

PI112670813

Employment opportunities, postdoctoral positions, summer jobs

2019-08-09T14:41:33Z

ETSOC:

Associate Research Scientist, Speech
,EDUCATIONAL TESTING SERVICE
,Princeton, NJ

Educational Testing Service (ETS), with headquarters in Princeton, NJ, is the world's premier educational measurement institution and a leader in educational research. With more than 3,400 global employees, we develop, administer and score more than 50 million tests annually in more than 180 countries at more than 9,000 locations worldwide. We design our assessments with industry-leading insight, rigorous research and an uncompromising commitment to quality so that we can help education and workplace communities make informed decisions.

ETS's Research & Development division has an opening for an associate research scientist in the Speech area of the NLP & Speech research center. The projects in this research group focus on the application of NLP, speech, dialogue, and multimodal processing algorithms in automated scoring capabilities for assessment and learning tasks involving constructed responses (such as essays and spoken responses). In addition to its signature automated scoring systems for text and speech assessments, the group is actively pursuing technology innovation in education and learning spaces by performing foundational research, prototyping next-generation capabilities, and collaborating with academic and industry partners. The NLP & Speech research group currently comprises around 20 PhD-level research scientists, 10 research engineers, and 10 research assistants and administrative staff.

This is an excellent opportunity to be part of a world-renowned research and development team and have a significant impact on existing and next-generation NLP, speech, dialogue, and multimodal systems and their use in educational applications.

Responsibilities:

Conceptualizing, proposing, obtaining funding for, and directing small projects in the area speech processing for educational applications and assisting in moderate-to-major research projects.
Assist in generating or contributing to new knowledge or capabilities in the field of speech processing and in applying that new knowledge and capabilities to existing and/or new ETS products and services. Some speech processing research areas that are relevant to ETS R&D include (but are not limited to) automatic speech recognition for non-native speakers of English, voice biometrics, computer-assisted pronunciation training, and automated speech scoring.
Participate in setting substantive research and development goals and priorities for a group or initiative within a vice presidential area.
Develop proposals and budgets for small projects and/or assist in development for moderate-to-major ones.

Requires:

Ph.D. in Computer Science, Computational Linguistics, Electrical Engineering, Natural Language Processing, Linguistics, or a similar area with major education in speech processing.
At least one year of independent substantive research experience in speech processing is required. Experience can be gained through doctoral studies.
Practical expertise with speech processing tools (e.g., kaldi), experience with machine learning toolkits (e.g., Weka, scikit-learn), and fluency in at least one major programming language (e.g. Java, Python).
Practical experience with deep learning paradigms and toolkits (e.g., TensorFlow, pytorch, Keras) is highly desirable.
Documented contributions to research communities and a strong publication record and experience I system building and prototyping are preferred.

We offer a competitive salary, comprehensive benefits, possible relocation assistance and excellent opportunities for professional and personal growth. For a full list of position responsibilities and to apply please visit the following link: Associate Research Scientist, Speech

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of Women and Minorities.

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of protected Veterans and Individuals with Disabilities.

EDUCATIONAL TESTING SERVICE is a Drug-free workplace.

Apply Here: http://www.Click2Apply.net/bk2nyzrv9cwpqgdr

PI112670813

Employment opportunities, postdoctoral positions, summer jobs

2019-08-09T14:40:37Z

ETSOC:

Associate Research Scientist, Speech
EDUCATIONAL TESTING SERVICE
Princeton, NJ

Educational Testing Service (ETS), with headquarters in Princeton, NJ, is the world's premier educational measurement institution and a leader in educational research. With more than 3,400 global employees, we develop, administer and score more than 50 million tests annually in more than 180 countries at more than 9,000 locations worldwide. We design our assessments with industry-leading insight, rigorous research and an uncompromising commitment to quality so that we can help education and workplace communities make informed decisions.

ETS's Research & Development division has an opening for an associate research scientist in the Speech area of the NLP & Speech research center. The projects in this research group focus on the application of NLP, speech, dialogue, and multimodal processing algorithms in automated scoring capabilities for assessment and learning tasks involving constructed responses (such as essays and spoken responses). In addition to its signature automated scoring systems for text and speech assessments, the group is actively pursuing technology innovation in education and learning spaces by performing foundational research, prototyping next-generation capabilities, and collaborating with academic and industry partners. The NLP & Speech research group currently comprises around 20 PhD-level research scientists, 10 research engineers, and 10 research assistants and administrative staff.

This is an excellent opportunity to be part of a world-renowned research and development team and have a significant impact on existing and next-generation NLP, speech, dialogue, and multimodal systems and their use in educational applications.

Responsibilities:

Conceptualizing, proposing, obtaining funding for, and directing small projects in the area speech processing for educational applications and assisting in moderate-to-major research projects.
Assist in generating or contributing to new knowledge or capabilities in the field of speech processing and in applying that new knowledge and capabilities to existing and/or new ETS products and services. Some speech processing research areas that are relevant to ETS R&D include (but are not limited to) automatic speech recognition for non-native speakers of English, voice biometrics, computer-assisted pronunciation training, and automated speech scoring.
Participate in setting substantive research and development goals and priorities for a group or initiative within a vice presidential area.
Develop proposals and budgets for small projects and/or assist in development for moderate-to-major ones.

Requires:

Ph.D. in Computer Science, Computational Linguistics, Electrical Engineering, Natural Language Processing, Linguistics, or a similar area with major education in speech processing.
At least one year of independent substantive research experience in speech processing is required. Experience can be gained through doctoral studies.
Practical expertise with speech processing tools (e.g., kaldi), experience with machine learning toolkits (e.g., Weka, scikit-learn), and fluency in at least one major programming language (e.g. Java, Python).
Practical experience with deep learning paradigms and toolkits (e.g., TensorFlow, pytorch, Keras) is highly desirable.
Documented contributions to research communities and a strong publication record and experience I system building and prototyping are preferred.

We offer a competitive salary, comprehensive benefits, possible relocation assistance and excellent opportunities for professional and personal growth. For a full list of position responsibilities and to apply please visit the following link: Associate Research Scientist, Speech

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of Women and Minorities.

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of protected Veterans and Individuals with Disabilities.

EDUCATIONAL TESTING SERVICE is a Drug-free workplace.

Apply Here: http://www.Click2Apply.net/bk2nyzrv9cwpqgdr

PI112670813

Employment opportunities, postdoctoral positions, summer jobs

2019-08-09T14:40:04Z

ETSOC:

Employment opportunities, postdoctoral positions, summer jobs

2014-03-19T18:45:23Z

ETSOC: /* Research Director NLP and Speech Processing / Educational Testing Service / Princeton, New Jersey */

Employment opportunities, postdoctoral positions, summer jobs

2014-03-14T09:55:04Z

ETSOC: /* Research Director NLP and Speech Processing / Educational Testing Service / Princeton, New Jersey */

Employment opportunities, postdoctoral positions, summer jobs

2014-03-12T15:54:22Z

ETSOC:

* '''[[Instructions for Posting Job Ads]]'''
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
* Archived postings:
** [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]






== Research Director NLP and Speech Processing / Educational Testing Service / Princeton, New Jersey ==

* Employer: Educational Testing Service
* Title: Research Director NLP and Speech Processing
* Specialty: Natural Language Processing / Speech Processing
* Location: Princeton, New Jersey, United States, 08541
* Deadline: Until filled
* Date Posted: March 12, 2014

'''Job Description:'''

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development.

Currently we are seeking a Research Director of the Natural Language Processing (NLP) and Speech Group to lead a team of 26 scientists and engineers in the research and development of innovative technologies to improve assessment. The Director also leads research that encourages the appropriate use of these technologies in operational settings and advances the state of the art in NLP and speech processing research in the education domain.

Specifically, you will be responsible for conceptualizing and pursuing a research agenda of fundamental and applied research in NLP and speech processing that will address current needs and anticipate future needs of education and assessment. This includes the development of technologies to automate or facilitate scoring of open-ended responses, support practices for developing tests and learning materials, safeguard the security and validity of assessments, enable technology-rich environments for assessment and learning, and provide automated performance feedback.

In addition, you will assume responsibility for the enhancement of a variety of existing ETS technologies that include e-rater (for automated scoring of essays), c-rater (for scoring content-based short answers), and SpeechRater (for scoring the spontaneous speech of English Language Learners), as well as the development of fundamentally new systems and methods.

Also, you be responsible for leading efforts to expand the use of ETS NLP and speech technologies. The Director will actively seek out opportunities for operational use of these technologies for both internal and external clients. This includes coordinating with ETS business units to understand market and client needs/trends, identify appropriate use contexts, develop the necessary research evidence to support operational use, and establish procedures for the transition of research technologies to production environments.

'''Requirements:'''

To qualify, you must possess:
* A Doctoral degree in computer science, computational linguistics, linguistics, electrical engineering, or a related field
* Eight years of progressively more independent research experience providing evidence of continuing and substantial contributions to a field of study are necessary, with experience managing research staff and transitioning the outcomes of research into operational practice desirable.
* Excellent verbal and written communications skills, including public speaking, interpersonal and public relations skills, and writing and editing skills.

'''How to Apply:'''

Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=160741&BUID=2538

'''Information about the institute:'''

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program.

With more than 3,400 global employees worldwide, ETS develops, administers and scores more than 50 million tests annually in more than 180 countries, at 9,000+ locations worldwide. In addition to assessments, we conduct educational research, analysis and policy studies and develop a variety of customized services and products for teacher certification, English language learning and elementary, secondary and postsecondary education. Equal Opportunity Employer

== Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities ==

* Employer: The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt
* Title: Research Intern
* Specialty: Natural Language Processing / Text Mining / Digital Humanities
* Location: Darmstadt/Frankfurt am Main, Germany
* Deadline: Until filled
* Date Posted: January 20, 2014
* Contact email: gurevych (at) cs (dot) tu-darmstadt (dot) de

'''Job Description:'''

The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as

* Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities

located either at the Computer Science Department of the Technische Universität Darmstadt or at the Information Center for Education at DIPF in Frankfurt (Germany)

The positions are situated within one of the Lab’s projects dealing with automatic text processing, linguistic and machine learning based methods of language analysis, corpus development for novel tasks, or tool support for users in NLP research and humanities. The Lab’s approach to NLP features the hybrid methods in large-scale language processing, real-world text mining, and hands-on skills in the rapid development of scalable systems with practical relevance.

The position is a fixed-term internship contract (6 months) with an option to extend it up to 1 year, provided certain conditions are met. A part-time working arrangement is possible. The internships are funded according to the level of qualification, previous experience, and formal criteria.

'''Requirements:'''

We are looking for internship students to work on one of the following areas: computational linguistics, text mining, or machine learning, with substantial theoretical knowledge, excellent problem-solving and programming (Java) skills for language processing, eagerness to apply the knowledge and skills in new contexts, and interest to participate in the Lab’s internationally competitive research. The ability to work independently, personal commitment, teamwork and communication skills, and a readiness to cooperate are required. The ability to speak German as well as previous experience in NLP, text-mining, or digital humanities are beneficial, but is not a job requirement.

We welcome applications of students at all levels of study (bachelor, master) as well as graduate-level applications. The position is ideally suited to acquire research experience abroad (also as required by the ongoing study program of an applicant), or qualify as a Master-, PhD-student, or a research associate at one of the leading universities, and for a competitive industry position.

'''How to Apply:'''

Applications (including CV, details of previous academic work, at least two educational and professional references, and final thesis in electronic form) should be submitted to gurevych (at) cs (dot) tu-darmstadt (dot) de.

'''Information about the institute:'''

The Computer Science Department of the Technische Universität Darmstadt is regularly ranked among the best in Germany. The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt (http://www.ukp.tu-darmstadt.de/) led by Professor Iryna Gurevych offers an excellent research environment. The distinguishing features of its research are novel linked lexical semantic resources, algorithms for semantic language analysis (for example, word sense disambiguation, or semantic role labeling), and text-mining (for example, topic recognition, or opinion analysis). The ongoing research projects closely cooperate with users of the developed technologies in humanities, e.g. in educational research, text interpretation in philosophy, corpus linguistics, or history sciences. Within the graduate program “Knowledge Discovery in Scientific Literature” (http://www.kdsl.tu-darmstadt.de/), the UKP Lab is networked with multiple groups in machine learning, statistical NLP and information management.

== Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main ==

* Employer: The German Institute for International Educational Research (DIPF)
* Title: Research Scientist
* Specialty: Automated Language Processing / Text Mining / Digital Humanities
* Location: Frankfurt am Main, Germany
* Deadline: February 14, 2014
* Date Posted: January 13, 2014
* Contact email: gurevych (at) dipf (dot) de

'''Information about the institute:'''

The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).

As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high visibility and high importance. By bringing together competencies, DIPF and Computer Science at TU Darmstadt are setting up a priority domain of knowledge processing and computer science in education. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. In 2012, the UKP-DIPF group was established: its unique features include semantic language processing, text mining and information retrieval as well as powerful infrastructures for evaluating and aggregating knowledge.

'''Job Description:'''

At DIPF, the research unit “Ubiquitous Knowledge Processing Lab“ at the Information Center for Education (located in Frankfurt am Main, Germany) is looking for an

* Research Scientist for Automated Language Processing / Text Mining / Digital Humanities (three-year contract, full time, EG13 TV-H*)

The position is situated in the context of the project “Die Welt der Kinder: Weltwissen und Weltdeutung in Schul- und Kinderbüchern zwischen 1850 und 1918“ [children’s worlds: knowledge and interpretation of the world in textbooks and children’s books from 1850 to 1918], subject to the Leibniz competition for excellence. Here, DIPF collaborates with the Georg-Eckert Institute for International Textbook Research (Brunswick) and the Institute for Language Technology and Information Science (University of Hildesheim).

The project targets research into historical textbooks and children’s books - and the analysis of world views children grew up with. In the project, classical qualitative methods used in historical sciences to analyse texts that are charged with interpretation will be interlinked with automatic indexing and semantic annotation of historical sources by means of semantic language processing methods. First and foremost, Topic Detection and Opinion Mining methods will be explored and further developed. So far, no training data exist for the analysis of historical texts in German. Thus, the appointment addresses a genuine task in the context of innovative digital humanities, targeting the implementation of unsupervised and adaptive language processing methods. Another innovative aspect concerns the close collaboration with users and the linkage of intellectual with automated methods of analysis.

The position is integrated into a highly dynamic environment at DIPF and TU Darmstadt. At DIPF, the successful candidate will co-operate with researchers in the growing domain of “Ubiquitous Knowledge Processing”, with computer science and educational research groups and information services, e.g. the Research Library for the History of Education (BBF) at DIPF. At TU Darmstadt, a close co-operation exists concerning the UKP Lab (Prof. Dr. Iryna Gurevych), and research groups focusing text and data mining as well as partners from digital humanities projects at Darmstadt and at national levels (DARIAH-DE, CLARIN and LOEWE priority “Digital Humanities“ in the state of Hesse).

We invite excellently qualified postgraduates or excellent graduates from relevant study courses to apply (Computer Science, Computational Linguistics or related subjects).

Owing to the duration of the project, a contract will be signed for three years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.

* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)

'''Requirements:'''

* Doctoral degree or diploma/master degree in Computer Science, Computational Linguistics or other relevant subjects;
* Preferably very good programming skills in Java and Web technologies; knowledge of UIMA;
* Very good English language skills (written and spoken) and at least basic knowledge of German;
* Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to co-operate;

Experience in automated language processing, text mining or digital humanities is preferred.

Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.

'''How to apply:'''

Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-02). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.

== Research Scientist in scientific coordination and transfer in computer science, knowledge and language processing, German Institute for International Educational Research (DIPF), Frankfurt am Main ==

* Employer: The German Institute for International Educational Research (DIPF)
* Title: Research Scientist
* Specialty: scientific coordination and transfer in computer science, knowledge and language processing
* Location: Frankfurt am Main, Germany
* Deadline: February 14, 2014
* Date Posted: January 13, 2014
* Contact email: gurevych (at) dipf (dot) de

'''Information about the institute:'''

The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).

As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high effectiveness and high importance. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. Its unique character is marked by excellent competencies in the fields of knowledge discovery on the web focusing on semantic language technology: text mining and information retrieval. By bringing competencies together, DIPF - with Computer Science at TU Darmstadt - has set up an institutional priority domain on knowledge processing and computer science in education.

'''Job Description:'''

At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a

* Research Scientist (two-year contract, full time, EG13 TV-H*)

for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.

The position concerns scientific coordination and transfer tasks in the context of the postgraduate programme Knowledge Discovery in Scientific Literature (http://www.kdsl.tu-darmstadt.de/), founded in 2013 at DIPF and TU Darmstadt, focusing on computational linguistics and language technology. It is nested in the research priority of “computer science for educational research”, newly established at the Information Centre for Education. The successful candidate will collaborate closely with the Computer Science Department (Prof. Dr. Iryna Gurevych) at Technical University Darmstadt; the position is at the core of the newly established institutional focus on knowledge processing (http://www.werc.tu-darmstadt.de/) at DIPF and Technical University Darmstadt.

The successful candidate will be expected to coordinate research in the study and qualification programme of the postgraduate programme, monitor the postgraduate programme and its five students and contribute to the transfer of technology. Furthermore, we expect the successful candidate to actively engage in defining requirements, coordinating the assessment of needs and conducting user workshops.

The position functions as an interface between research on automated analysis of research literature on the one hand and information services respectively information technologies at DIPF on the other. We aim to adapt innovative methods in computer science, language technology and information management to the educational researchers’ needs. These activities target novel means of access to digital science literature and on the web.
We welcome applications from excellently qualified postdoctoral candidates and (in exceptional cases) excellent graduates striving for further qualification in a scientific-technological field and in research management.

A contract will initially be signed for two years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.

* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)

'''Requirements:'''

- A very good or excellent doctoral degree or likewise excellent diploma/masters degree in computer science, computational linguistics or a related subject domain;
- Very good English language skills (written and spoken) and at least basic skills in German;
- Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to cooperate;
- Experience in coordinating distributed software development and its Integration;
- Experience in conceptualising and conducting events for scientists, users, and the public.
- Preferably experience in information and text processing, machine learning, very good Java programming skills and knowledge of UIMA, experience with larger-scale software projects.

Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.

Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.

'''How to apply:'''

Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-01). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.

== Tenure-track Faculty Positions in Natural Language Processing, Institute of Information Science, Academia Sinica, Taipei, Taiwan ==

* Employer: Institute of Information Science, Academia Sinica
* Rank or Title: Assistant/Associate/Full Research Fellow
* Specialty: Chinese Natural Language Processing and Knowledge Representation
* Location: Taipei, Taiwan
* Deadline: Open until filled
* Date Posted: January 7, 2014
* Contact email: recruit@iis.sinica.edu.tw

'''Job Description:'''

The Institute of Information Science (IIS) at Academia Sinica, Taiwan invites all qualified candidates to apply for the positions of junior and senior research fellows of all ranks (equivalent to the ranks of tenure track assistant, associate and full professors in a regular academic department without teaching responsibility) in Chinese natural language processing and knowledge representation. Research on Chinese semantic analysis and parsing is particularly emphasized. Exceptional candidates in all areas of Computer Science are also encouraged to apply.

Academia Sinica is a national academic research institution in Taiwan that conducts research on a broad spectrum of subjects in science and humanities. IIS is committed to high quality research in computer and information science and engineering. In addition to internal research funding supported by Academia Sinica, external funding through government agencies and industry-sponsored institutions is also available. Starting from 2014, we shall launch an International Ph. D. Program in Social Networks and Human-Centered Computing in collaboration with universities.

Full-time research fellows are free to set their own research directions. IIS currently has about 40 full-time research fellows and close to 300 full-time post doctoral fellows and research assistants. The areas of current research include Systems Technology, Bioinformatics, Multimedia, Data Mining, Natural Language Processing, Network, Theory, and Programming Language.

For additional information about IIS, please visit http://www.iis.sinica.edu.tw

'''Required Qualifications:'''

All Candidates should have a Ph.D. degree in computer science or closely related fields with a strong research and publication record. Senior candidates must demonstrate strong leadership, and have an international reputation evidenced by publications, patents, industrial experiences, or other academic and scholarly achievements. Salary is commensurate with qualifications.

Fluency in Chinese is an advantage, but not required.

'''How to Apply:'''

All candidates should send detailed curriculum vitae, and at least three letters of recommendation to

Dr. Wen-Lian Hsu, Director

Institute of Information Science

Academia Sinica

Nankang 115, Taipei, Taiwan

TEL: 886-2-2788-3799ext.1804

FAX:886-2-2782-4814

E-mail: recruit@iis.sinica.edu.tw

== Computational Postdoc position, Johns Hopkins University, Cognitive Science ==

* Employer: Johns Hopkins University
* Rank or Title: Postdoctoral Fellow
* Specialty: Computational Linguistics/Cognitive Science
* Location: Baltimore, MD, USA
* Deadline: February 17, 2014 or until filled
* Date Posted: January 7, 2014
* Contact email: INSPIREpostdoc@jhu.edu

'''Brief Job Description:'''

Applications are invited for a postdoctoral position in the department of Cognitive Science at Johns Hopkins University.

The appointee will play a central role in a recently-founded group project devoted to developing a novel type of computing that fuses neural network and symbolic computation. In this “Gradient Symbolic Computation“, data consists of discrete structures built of symbols that have continuous activation values. The project addresses human syntax and semantics.

Keywords: computational linguistics, neural network modeling, syntactic processing, vector-space semantics

'''Detailed Job Description:'''

The project is funded by NSF’s new INSPIRE program, created to support unusually forward-looking, high-risk/high-return research. The position offers the appointee the opportunity to be a key player in the exciting intellectual environment of a highly interdisciplinary research team of leading faculty members collaborating intensively to break new ground at the foundations of computation and cognition. These faculty members are committed to contributing to the career development of the appointee, who will also have opportunities to pursue their own research projects and to gain experience in teaching. The faculty co-investigators consist of 6 professors from the Cognitive Science and Computer Science Departments at Johns Hopkins (those listed in http://www.nsf.gov/awardsearch/showAward?AWD_ID=1344269 plus Prof. C. Wilson) as well as Prof. M. Goldrick in the Linguistics Department at Northwestern.

The ideal appointee will conduct development and extensive testing of:

* general-purpose software to support symbolic-level computation over gradient symbol structures

* general-purpose software for simulating neural network implementations of this gradient symbolic computation

* new machine-learning algorithms, including deep compositional networks

* new theories of compositional vector-space semantics and new neural-network architectures for implementing them

* new psycholinguistic models of human syntactic production and comprehension processes

Most critical is the work on general-purpose software. This work will be conducted in close collaboration with faculty whose expertise spans all project areas. Johns Hopkins is a world leader in computational approaches to language science and engineering.

The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.

'''How to Apply:'''

Applications will be processed until the position is filled. For full consideration, applications and letters should be received by February 17, 2014. An application consists of a single PDF file including (i) a cover letter detailing the applicant’s interests in connection with the project, the qualifications they bring to the work, and the training they would like to receive from the position; (ii) a current CV; (iii) a document containing links to their relevant publications (ideally, integrated into the CV); (iv) a research statement describing their past, on-going, and planned future work; and (v) (optional) a statement concerning their teaching experience and interests. The application, along with three letters of recommendation, must be emailed to INSPIREpostdoc@jhu.edu. Please ensure that your name is in the Subject line of all materials that you AND your References submit.

Johns Hopkins University is an Equal Opportunity, Affirmative Action employer; minorities, women, Vietnam-era veterans, disabled veterans and individuals with disabilities are encouraged to apply.

== Postdoc in Automatic Speech Recognition and Dialog-Centered Natural Language Understanding ==

* Employer: University of Notre Dame
* Rank or Title: Postdoctoral Researcher
* Specialty: Speech recognition, Dialogue, Natural Language Understanding
* Location: South Bend, Indiana
* Deadline: Open until filled
* Date Posted: Dec 6, 2013
* Contact email: aolney at memphis.edu

'''Brief Job Description:'''

The successful candidate will conduct research in automatic speech recognition and dialog-centered natural language understanding. He/she will participate in the design, development, and exploration of innovative methods, algorithms and techniques that bridge acoustic/language modeling and dialogue-focused natural language understanding on real-world, multi-party speech data collected in educational contexts.

The position is for two years (providing renewal based on Year 1 performance) starting as early as February 1, 2014. Possible extension to a third year based on availability of funds. Start date is negotiable.
Competitive salary with benefits commensurate with qualifications.

'''Required Qualifications:'''

* Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field
* Research experience in one or more of the following research areas (automatic speech recognition, natural language understanding, or related area of natural language processing)
* A solid publication track record in one or more of the aforementioned areas
* Ability to work both individually and as a member of an interdisciplinary team
* Ability to mentor graduate and undergraduate students

'''How to Apply:'''

Applicants should email (1) cover letter, (2) current CV, and (3) name, title, and contact information of three references to Kristopher Kopp (kristopherkopp at gmail.com). Inquires may be addressed to Sidney D’Mello (sdmello at nd.edu) and Andrew Olney (aolney at memphis.edu).

'''About Us:'''

Further information on the Computer Science department can be found at http://cse.nd.edu/.

== TTS Language Engineer - Arabic, Hebrew, Indonesian, Turkish, Employment Agency contracting for Google, London, UK ==

* Employer: Employment agency contracting for Google
* Rank or Title: TTS Language Engineer (4) positions - Arabic, Hebrew, Indonesian, Turkish
* Specialty: TTS, Computational Linguistics
* Location: London, UK
* Deadline: Open until filled
* Date Posted: November 21, 2013; Updated December 17, 2013
* Contact email: tts_jobs at google.com

'''Brief Job Description:'''

You will be helping with technical tasks involved in creating a speech
synthesiser. This includes:

1. Developing rules for a text normalisation system;
2. Large scale data mining;
3. Customising language building tools for either Arabic, Hebrew, Indonesian or Turkish
4. TTS quality evaluation

'''Preferred Qualifications:'''

1. Recent CS or Computational Linguistics graduate or closely related
discipline
2. Native-level speaker of either Arabic, Hebrew, Indonesian or Turkish and fluent in English:
3. Proficiency in Unix/Python/C++
4. Interest in data mining and natural language processing a plus

'''How to Apply:'''

This is an opportunity to work on cutting edge technology in a dynamic team
of world-class experts. This is a temporary position for 9 months, with a
possibility of extension. The position is based in London.

For immediate consideration please send your CV and Cover Letter to tts_jobs at google.com

For more information, please contact tts_jobs at google.com

== Postdoctoral Fellow, Bioinformatics Technology Lab, BC Genome Sciences Centre ==

* Employer: British Columbia Cancer Agency
* Rank or Title: Postdoctoral Fellow
* Specialty: natural language processing, machine learning
* Location: Vancouver, BC, Canada
* Deadline: Open until filled
* Date Posted: November 18, 2013
* Contact email: bcgscjobs@bcgsc.ca

'''Brief Job Description:'''

The Genome Sciences Centre is seeking a Postdoctoral Fellow for the Bioinformatics Technology Lab to conduct scientific research in the areas of bioinformatics and genomics, specifically related to automated analysis and annotation of cancer research literature.

The successful applicant will work with trainees and research scientists in a team that develops tools for a clinical genomics pipeline based on primary sequence analysis, to build machine learning tools that interpret identified mutations for their biological significance as they relate to reports in the relevant literature.

'''Duties:'''

Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your typical duties will include the following:

• Building machine learning tools for automated literature survey

• Analysis and annotation of data from genome and transcriptome sequencing projects

• Collaborating with biologists and clinical researchers on the accuracy of the results

• Reporting research methods and results in meetings, seminars and conferences

• Contribution to and leading scientific publications and research proposals

Work may also involve travel to the research and development labs of a US corporation, not to exceed three months a year.

'''Required Qualifications:'''

The ideal candidate should possess a PhD degree and recent proven experience in bioinformatics or computer science. A strong publication record in the field, and demonstrated technical writing skills are highly desirable.

'''How to Apply:'''

Please send your resume with cover letter to bcgscjobs@bcgsc.ca

We request that you specify the position you are applying for by identifying the Job Code only ("PDFBTL 13-11-01") in the subject line of your emailed application.

All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.

'''About Us:'''

Genome Sciences Centre is a leading international institution for genomics and bioinformatics research. Our mandate is to advance knowledge about cancer and other diseases, to improve human health through disease prevention, diagnosis and therapeutic approaches, and to realize the social and economic benefits of genomics research.

For more information, please visit www.bcgsc.ca

== Graduate Studentship, Bioinformatics Technology Lab, BC Genome Sciences Centre ==

* Employer: British Columbia Cancer Agency
* Rank or Title: Graduate Student
* Specialty: natural language processing, machine learning
* Location: Vancouver, BC, Canada
* Deadline: Open until filled
* Date Posted: November 18, 2013
* Contact email: ibirol@bcgsc.ca

'''Brief Description:'''

Bioinformatics Technology Lab at the Genome Sciences Centre is seeking graduate students at the Masters and PhD levels.
Under the supervision of Dr. Inanc Birol, students will work with other trainees and research scientists in a group environment to develop cutting-edge bioinformatics technologies for high throughput sequence analysis, de novo assembly, clinical genomics, big data visualization, and automated literature search and interpretation.

'''Required Qualifications:'''

If you have any combination of the following skills, and a passion to apply them at a state-of-the-art genome centre, we would be interested in you.

• Sophisticated programming skills (C++ and Python preferred)

• Parallel computation expertise (MPI or MP)

• Strong natural language processing background (familiarity with argumentation frameworks an asset)

• Experience with de novo assembly tools (ABySS and Trans-ABySS preferred)

• Graph theory background

• Database development and administration experience (PostgreSQL or MySQL)

'''How to Apply:'''

Please send your cover letter, CV and transcripts to ibirol@bcgsc.ca

Successful students will be registered at either CIHR’s Bioinformatics Training Program or Medical Genetics Graduate Program at the University of British Columbia.

'''About Us:'''

Genome Sciences Centre is a leading international institution for genomics and bioinformatics research. Our mandate is to advance knowledge about cancer and other diseases, to improve human health through disease prevention, diagnosis and therapeutic approaches, and to realize the social and economic benefits of genomics research.

For more information, please visit www.bcgsc.ca

== Postdoc job available in neural decoding of language, University of Rochester ==

* Employer: University of Rochester
* Rank or Title: Postdoctoral Research Fellow
* Specialty: Models of semantic composition, semantic similarity, machine learning
* Location: Rochester, NY, USA
* Deadline: Open until filled
* Date Posted: November 7, 2013
* Contact email: rajeev dot raizada at gmail dot com

'''Brief Job Description:'''

A postdoctoral position is available in the Department of Brain & Cognitive Sciences at the University of Rochester in the lab of Rajeev Raizada (http://raizadalab.org).

The position will concentrate on the neural decoding of language, in particular the semantic representation of words embedded in sentences. Experience in some or all of the following areas would be ideal: computational linguistics (especially models of the semantic composition of multiple words into phrases and sentences), natural language processing, multivoxel pattern-based fMRI analysis, machine learning (especially kernels or similarity-based approaches). Experience with Matlab or some other scientific programming language (e.g. SciPy, R) is required.

'''Required Qualifications:'''

Applicants must have a PhD in linguistics, psychology, computer science, neuroscience or a related field. Salary will be on the standard NIH postdoc payscale. The position is available immediately and has funding for a two year period, although it could potentially be extended beyond that time if mutually agreed and if additional funding is obtained.

'''How to apply:'''

To apply, please send a description of your research interests, a CV, the names of three referees, and weblinks to representative publications to rajeev dot raizada at gmail dot com. Large files such as PDFs of papers should be sent as weblinks (e.g. to your publications webpage, or using Dropbox) rather than as e.mail attachments. Interviews can be conducted via Skype.

'''Information about the university and the department'''

The Department of Brain & Cognitive Sciences at the University of Rochester (http://www.bcs.rochester.edu) has a strong focus on computational and statistical studies of neural representations, and has researchers working in language, vision, computation, development and neuroimaging. The Rochester Center for Brain Imaging (http://rcbi.rochester.edu) has a research-dedicated 3T Siemens Trio scanner.

== Post-doctoral Research Fellow - Nanyang Technological University, Singapore ==

* Employer: Nanyang Technological University
* Rank or Title: Post-doctoral Research Fellow
* Specialty: Natural Language Processing, Semantic Web
* Location: Singapore
* Deadline: Will be open until filled
* Date Posted: November 2, 2013
* Contact email: jungjae.kim@ntu.edu.sg

'''Brief Job Description:'''

The Natural Language Processing group in the School of Computer Engineering, Nanyang Technological University, Singapore has an opening for a post-doctoral researcher in the areas of ontology engineering and text mining, funded by Rolls-Royce@NTU Corporate Laboratory.

The position involves applying scientific, technical and software engineering skills to conduct research on ontology learning, ontological annotation on informal text, and semantic indexing and search and the development of prototypes demonstrating the successful application of the research.

'''Required Qualifications:'''

A Ph. D. in Computational Linguistics, Computer Science, or a related discipline with specialization in text mining and/or ontology engineering. Independent research experiences and experiences in developing and deploying text mining and/or ontology engineering technology capabilities in an academic or industrial environment are expected.

'''How to apply:'''

Please send a copy of your resume, along with a cover letter, to Jung-jae Kim <jungjae.kim@ntu.edu.sg>

== Assistant Professor Position - Computational Linguistics/Language Science - Rochester Institute of Technology ==

* Employer: Rochester Institute of Technology
* Rank or Title: Assistant Professor
* Specialty: Computational Linguistics/Language Science
* Location: Rochester, NY, USA
* Deadline: Review of applications will begin on November 25, 2013
* Date Posted: October 11, 2013
* Contact email: coagla@rit.edu

'''Brief Job Description:'''

The Department of English at the Rochester Institute of Technology invites applications for an Assistant Professor of English tenure-track position to begin August 13, 2014 with specialization in computational linguistics and/or innovative technical methods in language science, with a focus on one or more areas of application. Possible areas include:

* Cultural or social analytics
* Speech technology
* Human-computer communication
* Clinical, assistive, and/or access technology
* Cognitive modeling of linguistic processes (for example reading)
* Games and/or social media

The applicant should demonstrate a fit with our commitment to collaborate with colleagues across the university on curricular and research initiatives in digital humanities and language science.

'''Detailed Job Description:'''

The successful applicant will be a teacher and a researcher with an agenda that emphasizes innovative technical methods in linguistics, for instance natural language processing, corpus-based studies, linguistic/multimodal sensors, speech technology, and/or other computational approaches. We are seeking a scholar who engages in disciplinary and interdisciplinary teamwork and has a coherent plan for grant seeking activities. The right candidate will contribute to our department’s profile in the digital humanities, in addition to furthering our interdisciplinary language science curriculum in a college of liberal arts at a technical university. Contributions that build students’ global education experiences are additionally valued.

Teaching assignments may include Introduction to Language Science, Language Technology, Introduction to Natural Language Processing, Advanced Topics in Computational Linguistics, Language & Brain, self-designed courses, and other courses in the linguistics or general education frameworks such as Dialects & Identity, Text & Code, or Evolving English Language. The course teaching load is 3/2.

We are seeking an individual who has the ability and interest in contributing to a community committed to Student Centeredness; Professional Development and Scholarship; Integrity and Ethics; Respect, Diversity and Pluralism; Innovation and Flexibility; and Teamwork and Collaboration. Select to view links to RIT’s [http://www.rit.edu/~w-policy/sectionA/corevalues.html core values], [http://www.rit.edu/studentaffairs/studentconduct/RITHonorCode1.htm honor code], and [http://finweb.rit.edu/humanresources/diversity/commitment.html diversity commitment].

'''The University and Rochester Community:'''

RIT is a national leader in professional and career-oriented education. Talented, ambitious, and creative students of all cultures and backgrounds from all 50 states and more than 100 countries have chosen to attend RIT. Founded in 1829, Rochester Institute of Technology is a privately endowed, coeducational university with nine colleges and institutes emphasizing career education and experiential learning. With approximately 15,000 undergraduates and 3,000 graduate students, RIT is one of the largest private universities in the nation. RIT offers a rich array of degree programs in engineering, science, business, and the arts, and is home to the National Technical Institute for the Deaf. RIT has been honored by ''The Chronicle of Higher Education'' as a "Great Colleges to Work For" for four years. RIT is responsive to the needs of dual career couples by our membership in the [http://www.upstatenyherc.org/home/index.cfm?site_id=671 Upstate NY HERC].

Rochester, located on Lake Ontario, is the 79th largest city in the United States and the third largest city in New York State. The Greater Rochester region, which is home to nearly one million people, is rich in cultural and ethnic diversity, with a population comprised of approximately 16% African and Latin Americans and another 7% of international origin. It is also home to the largest deaf community per capita in the U.S. Rochester ranks 3rd best metropolitan regions for Raising a Family" by ''Forbes Magazine''; 6th among 379 metropolitan areas as "Best Places to Live in America" by ''Places Rated Almanac''; 1st in ''Expansion Management Magazine''’s ranking of metropolitan areas having the best “Quality of Life in the Nation”; and is among ''Essence Magazine''’s "Top 10 Cities for Black Families."

'''Required Minimum Qualifications:'''

* Ph.D. in Linguistics (or an allied field) in hand prior to appointment date
* Advanced graduate coursework in language science and technical methods
* Evidence of outstanding teaching
* Experience teaching or mentoring diverse or multi-disciplinary students
* Evidence of publication and a coherent plan for research and grant seeking activities
* Ability to contribute in meaningful ways to the college’s continuing commitment to cultural diversity, pluralism, and individual differences.

'''How to Apply:'''

Apply online at [http://careers.rit.edu/faculty http://careers.rit.edu/faculty]. Search: 797BR. Please submit your cover letter; CV; copy of transcripts of graduate coursework; a research statement; a teaching statement; writing sample/portfolio; [https://www.rit.edu/academicaffairs/facultyrecruitment/forms/Diversity_Statement_Guide_for_candidates_4-12.docx Contribution to Diversity Statement]; and the names, addresses and phone numbers for three references.

'''Contact:'''

Please direct questions to Dr. Cecilia Ovesdotter Alm at: <coagla@rit.edu> or (585) 475-7327.

'''Application Deadline:'''

Review of applications will begin on: November 25, 2013.

Employment opportunities, postdoctoral positions, summer jobs

2011-05-06T16:35:06Z

ETSOC:

* Please post your job ad below.
* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''.
* '''Please remove your posting when the position is filled.'''
* Please include the following information:
** Employer
** Rank or Title
** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)
** Location
** Deadline
** Date Posted
** Contact email or link to website
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
* Archived postings:
** [[Employment opportunities posted 2010]]
** [[Employment opportunities posted 2009]]
** [[Employment opportunities posted 2008]]
** [[Employment opportunities posted 2007]]

== Associate Research Engineer, Natural Language Processing ==
** Employer : ETS (Educational Testing Service)
** Rank or Title : Associate Research Engineer
** Specialty : Natural Langauge Processing
** Location : Princeton, New Jersey
** Deadline : Applications accepted until the position is filled
** Date Posted : May 6, 2011
** Contact email or link to website : http://www.Click2Apply.net/q536shx

'''ETS (Educational Testing Service)''', with headquarters in '''Princeton, NJ''', is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development.

Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.

In addition to exceptional verbal/written communication skills, our qualifications include:

* Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field
* A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential
* Coursework in statistics and experience in using machine learning toolkits are highly desirable
* Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies
* Knowledge of UNIX and Windows computing environments
* Familiarity with UNIX tools and scripting languages and algorithms, methods and data structures in common use in the processing of speech and language data

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=104651&type=&cfcend

EOE

== Research Scientist (Natural Language Processing) ==
** Employer : Language Computer Corporation (LCC)
** Rank or Title : Research Scientist
** Specialty : Natural Langauge Processing (or related discipline)
** Location : Richardson, Texas
** Deadline : Applications accepted until the position is filled
** Date Posted : May 2, 2011
** Contact email or link to website : jobs2011@languagecomputer.com

Language Computer Corporation (LCC) is a privately-owned company committed to the development of next-generation natural language processing technologies. Since our founding in 1995, we've provided both government and commercial customers with intelligent, semantically-informed search and discovery software. These tools unlock value by actually understanding the information stored in large collections of text. LCC has spun off two semantic technology startups, including Swingly, a Web-scale answer engine, and Extractiv, a high-performance content harvesting service.

We are currently seeking research scientists for R&D in natural language processing and retrieval. Candidates must possess a Ph.D, significant experience in NLP, effective software development skills, and a track-record of publication. Successful candidates will work with a team of researchers and engineers to improve existing products as well as develop brand new technologies.

Requirements:
** Ph.D in NLP or a related discipline, such as computational linguistics, data mining, or artificial intelligence
** Strong programming skills on the Java platform
** Education: BS or MS in Computer Science
** Knowledge of development under Unix/Linux
** U.S. Citizenship or Permanent Resident
** Good communication skills
** Patience necessary to work in a team environment

Desirable Qualities:
** Industry R&D experience
** Product development experience
** Database programming/development
** Other programming languages: Python, Ruby, Scala, Clojure
** Source code management (e.g. SVN, Git, Mercurial, Bazaar)
** Web Application experience
** Multi-threaded / distributed applications
** Understanding of design concepts such as abstraction, modularization, coupling, and maintainability
** Unit testing and integration testing
** Talent for writing time- and memory-sensitive code
** Agile software development methodologies

== Research Engineer - Natural Language Processing ==

** Employer: Ask.com
** Rank or Title: Research Engineer - Natural Language Processing
** Specialty: Computational Linguistics, Natural Language Processing
** Location: Oakland, CA
** Deadline: Applications accepted until position is filled
** Date Posted: April 22, 2011
** Contact email or link to website: www.ask.com/careers

About Us

Join the #1 brand and top Web property focused on answering people’s questions. At Ask.com, we’re building a next-generation Q&A service – spanning both the Web and mobile devices -- that combines the power of search with insight from real users. Our proprietary algorithms crawl the web for question and answer pairs (400 million and growing), fueling one of the biggest Q&A databases on the Web. This unique technology, combined with answers from real users in our community, makes Ask.com the most comprehensive Q&A service around. At Ask, we empower each individual to succeed, communicate their ideas, and take action. When you work here, you know your contributions will have a direct and immediate impact on the company. We are serious about creating and maintaining a company culture that is both innovative and fun, and we’re looking for great people to come join our team.

Summary

Ask.com is looking for a software engineer to join a research-oriented team in the Oakland, CA office. The research engineer will join a horizontal team supporting the Ask.com core language technologies, which power the search- and database-driven question answering solutions as well as the algorithmic language processing infrastructure for the Q&A community and mobile applications.

Required:
** Natural language processing / computational linguistics background. Ideal: information retrieval and machine learning applications
** Python and/or Perl, shell scripting, XML. Ideal: some Java and/or C/C++, familiarity with SQL and relational databases
** Ph.D. in computational linguistics / natural language processing or related areas.

Skills and Experience:
** 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
** Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.
** In general, experience is desired in web analytics, both in terms of using the web as corpus (including the family of related approaches, techniques, issues) and in terms of search engine query logs analysis / user behavior modeling.
** Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.
** Ideal: practical experience with Lucene/Solr, Mahout and the Hadoop ecosystem.
** Ideal: experience with ontologies, RDF, other semantic web resources or tools.
** Ability to develop prototypes based on proprietary or open source tools.
** Ability to work in a fast-paced environment and adapt to shifting conditions, priorities, deadlines.
** The ideal candidate should be able to refer to products and/or research prototypes that they have developed or to which they have contributed, or to their contributions to sites like StackOverflow.

Location: Downtown Oakland (near 12th St. BART Station)

Apply at: www.ask.com/careers

== Natural Language Generation Expert ==
** Employer: Stripes39 (a domain specific content management startup)
** Rank or Title: Lead developer / architect
** Specialty: Natural Language Generation
** Location: Seattle, WA (downtown)
** Deadline: Applications accepted until the position is filled
** Date Posted: April 21, 2011
** Start Date: as soon as possible
** Duration: indefinite

Stripes39 is a well-funded Seattle startup with an NLG engine as a part of its core technology. The position will entail leading a team of computational linguists, architecting the NLG system, designing and managing the ontology, and testing of the NLG system output.

** education: Ph.D. (preferred) or M.S./M.A. with strong leadership record
** experience with NLG system design and testing (required)
** knowledge of recent NLP tools and techniques (required)
** large system development skills essential, including experience with Python and Java

Send email with resume to
Scott Farrar (farrar@uw.edu)
and
Parmeshta Jain (parmeshtajain@stripes39.com)

Please indicate in your cover letter your specific qualifications with NLG.

== Postdoctoral Researcher, Natural Language Processing (information extraction) ==
** Employer: New York University
** Rank or Title: Post-doctoral researcher
** Specialty: Natural Language Processing (information extraction)
** Location: New York, NY
** Deadline: Applications accepted until the position is filled
** Date Posted: March 24, 2011
** Start Date: September 1, 2011
** Duration: 1 year, renewable

The Proteus Project (New York University Dept. of Computer Science) anticipates an opening for a computational linguist to conduct and support its research in information extraction, including in particular the analysis of trends in large collections of scientific articles and patents.

** education: Ph.D. (preferred) or M.S. with strong research record
** strong publication record
** experience with NLP tools for English required
** experience with NLP tools for German and/or Chinese a plus
** experience with citation analysis, sentiment analysis, terminology extraction a plus
** large system development skills essential, including experience with Unix and Java
** target start date 1 September 2011, with some flexibility for an earlier or later start

Send email with c.v. and links to publications to
Prof. Ralph Grishman (grishman@cs.nyu.edu)
and
Prof. Adam Meyers (meyers@cs.nyu.edu)

Indicate in your response your specific qualifications which match the requirements listed above.

== Practical Natural Language Processing and Text Mining Professional ==
** Employer: ComplaintLink
** Specialty: Specialty: entity named extraction, text mining, sentiment analysis, machine learning algorithms
** Location: Off-site anywhere in the world
** Deadline: Applications accepted until the position is filled
** Date Posted: March 21, 2011
** Start Date: ASAP
** Duration: contract or salaried postion

Position: Complaint Link Inc. is interested in hiring an off-site skilled NLP professional to work on a software project in the area of natural language processing, machine learning algorithms and sentiment analysis. About the employer: ComplaintLink is a web start-up with a relatively simple user-interface and very complicated analytical software that will incorporate machine learning algorithms, natural language processing, sentiment analysis, entity named extraction, search algorithms and other data mining and business intelligence functionality. The website is structured much like a sophisticated forum with a social-networking component. The data being analyzed will be from user-generated textual discussions around a multitude of topics that will continuously be updated.
Description of project: The successful candidate will be working with other LAMP developers to bring an online business to fruition. The candidate will, using open source resources, intelligence and imagination, develop original and proprietary software that will function as the brains behind this online business.The software being developed will access our site’s database and have the ability, without any manual keyword input for direction, to mine all textual data and present clearly which are the most 'important' or ‘passionate’ conversations and issues and be able to extract what those issues are and what related significant information is involved in those discussions. It will be able to identify and draw associations between significant pieces of information and present the information extracted in a way that provides a clear picture of the activity on the site in a practical and meaningful manner.Degree and expertise: This project requires someone with a passion for machine learning algorithms and natural language processing. Ideally the candidate will be a postdoctoral fellow or at least someone as smart and experienced as one in the area of Natural Language Processing, machine learning algorithms, sentiment analysis, and data extraction and analysis. You must be able to work in a LAMP environment, be skilled with MySQL, be smart, reliable, and a self-starter with excellent problem solving and analytical abilities. You must have a solid grasp of English – written and verbal.If you are interested in this opportunity please contact us at the following address: developers {at} ComplaintLink {dot} {com} Please include your CV and a short description of your past work and studies and interests.

== Postdoctoral Researcher, Semantic Parsing ==
** Employer: CCLS, Columbia University
** Specialty: Semantic parsing, parsing, German NLP
** Location: New York, NY
** Deadline: Applications accepted until the position is filled.
** Date Posted: March 16, 2011

Position available: Postdoc in Natural Language Processing (Semantic Parsing)

Start Date: September 1, 2011 (possibly earlier)

Duration: 1 year, renewable for a second year

Description: the postdoc will work in the context of a large, multi-site project which aims at predicting the emergence of technical trends from scientific literature in English, German, and Chinese. The specific issues the postdoc will work on revolve around natural language processing (NLP) tasks, in particular semantic parsing, and detecting degree of commitment. The postdoc will also be involved in issues of system integration, working with a full-time programmer.

Required background:

* Ph.D. in hand in computer science, linguistics, or related discipline. (Note: in exceptional circumstances, a candidate with only a masters degree could be considered as a "pre-doc".)
* Programming skills.
* Ability to work in a group.

Desired background:

* Knowledge of German, German linguistics, and/or German NLP.
* Acquaintance with FrameNet.
* Knowledge of parsing.
* Knowledge of machine learning techniques.

Location: Center for Computational Learning Systems, Columbia University, New York City

If interested, please mail to Owen Rambow, rambow@ccls.columbia.edu, a CV along with a short note explaining how you meet each of the required and desired background elements above. (A bulleted list would be fine, with a sentence per background element.)

== Postdoctoral Researcher, Natural Language Processing ==
** Employer: University of Maryland, CLIP Laboratory
** Specialty: Summarization, NLP, data mining, machine learning, use of linguistic knowledge in NLP
** Location: College Park, MD
** Deadline: Applications accepted until the position is filled.
** Date Posted: March 11, 2011
A postdoc position is available in the Computational Linguistics and Information Processing (CLIP) Laboratory in the Institute for Advanced Computer Studies at University of Maryland. We are seeking a talented researcher in natural language processing, with strong interests in the processing of scientific literature. A successful candidate should have a strong NLP background with a track record of top-tier research publications. A Ph.D. in computer science and strong organizational and coordination skills are a must. In addition to pursuing original research in scientific literature processing, the ideal candidate will coordinate the efforts of the other members of that project. While not necessary, experience in one or more of the following areas is highly advantageous: summarization, NLP or data mining for scientific literature, machine learning, and the use of linguistic knowledge in computational systems. Additionally, experience with large-data NLP and system building will be considered favorably. The successful candidate will work closely with current CLIP faculty, especially Bonnie Dorr, Hal Daume III and Ken Fleischmann, while interacting with a large team involving NLP researchers across several other prominent institutions. The duration of the position is one year, starting Summer or Fall 2011, and is potentially extendible. CLIP is a a dynamic interdisciplinary computational linguistics program with faculty from across the university, and major research efforts in machine translation, information retrieval, semantic analysis, generation, and development of large-scale statistical language processing tools. Please send a CV and names and contact information of 3 referees, preferably by e-mail, to: Jessica Touchard (jessica@cs.umd.edu), Department of Computer Science, A.V. Williams Building, Room 1103, University of Maryland, College Park, MD 20742. Specific questions about the position may be addressed to Hal Daume III at hal@umiacs.umd.edu.

== Senior Research Scientist, Natural Language Processing ==
** Employer: ETS (Educational Testing Service)
** Specialty: Research
** Location: Princeton, New Jersey, 08540
ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve. In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.Our qualifications include: <ul> <li>A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science</li> <li>Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study</li> <li>A strong statistical and machine learning background</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)</li> <li>The ability to lead the development of proposals for major research, development, or large-scale NLP projects,</li> <li>Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators </li> <li>Familiarity with the application of NLP tools to educational problems</li> <li>Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors</li> </ul> We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=104122&type=&cfcend EOE[http://www.Click2Apply.net/dm5y53s Apply Here]

== Text Mining and Natural Language Processing Specialists for eBay ==
** Employer: eBay
** Rank: Applied Researcher
** Speciality: Information Retrieval & Text Mining / NLP
** Location: San Jose, CA, USA
** Deadline: Until filled
** Date Posted: 2/25/2011
** Contact email: smohan@ebay.com
eBay is looking for experts in web-scale Information Retrieval and Text Mining / Natural Language Processing to join the Search Science team.

Bring your ideas, energy, and dedication to improve search experience on eBay. The world class search engine at the heart of eBay serves more than 350 million queries every day. The Search Science team is passionate about building the query services and relevance factors that will match our users’ needs to the products in the world's largest online marketplace, and we are looking for top-notch applied researchers.

'''QUALIFICATIONS'''

· Ph.D. in Computer Science or related field plus 4 years of relevant software industry R&D experience required.

· Expertise in Information Retrieval and Nature Language Processing.

· Strong statistical and machine learning background.

· Experience and proficiency in Java and/or C++, Perl or similar scripting languages, and distributed processing of documents and web logs using Hadoop.

· Track record of deploying cutting edge technology in an industrial setting.

'''JOB REQUIREMENTS'''

· Use your knowledge, skills, and passion for improving search to find opportunities in eBay's log data and search results.

· Use deep domain expertise to individually drive innovative ideas.

· Participate in brainstorming and discovery exercises to determine new ideas.

· Build experimental frameworks and gather data from across the company to support your work.

· Conduct experiments, write prototypes, write specifications, and optionally write production code to deploy new features and methods that improve search quality.

· Lead projects and collaborate with other researchers, engineers, and product teams to develop strategic and tactical enhancements to search.

· Provide technical leadership and mentoring to other team members.

· Lead and contribute to multiple small team projects.

· Communicate your methodology and results to a community of researchers, developers, analysts, and product managers working in search. Communicate to technical and nontechnical audiences inside and outside the search team.

· Participate in meetings with other eBay groups to document best practices and facilitate a knowledge base.

== Freelance British English, Japanese, and Mexican Spanish computational linguists==
** Employer: The Lingua Team
** Rank: Freelance contractor
** Speciality: Speech & Natural Language Processing
** Location: Seattle, WA (work can be done remotely)
** Deadline: 5/1/2011
** Date Posted: 2/12/2011
** Contact email: http://www.thelinguateam.com
The Lingua Team, a company based in the Seattle area, dedicated to linguistic services is always looking for a computational linguists with native or near native knowledge of the most common languages to do freelance work remotely. Please, visit our site and email your resume for consideration.

== French computational linguist==
** Employer: The Lingua Team
** Rank: Language support contractor
** Speciality: Speech recognition
** Location: Seattle, WA (work can be done remotely)
** Deadline: 03/04/2011
** Date Posted: 12/28/2010
** Contact email: http://www.thelinguateam.com
The Lingua Team, a Seattle area based company, dedicated to linguistic services is looking for a French computational linguist to create computational grammars in xml format. Knowledge of French is a must. Please, email your resume for consideration.

== Senior Research Assistant, Natural Language Processing ==
** Employer: ETS (Educational Testing Service)
** Speciality: Research
** Location: Princeton, New Jersey 08540
** Date Posted: 02/21/2011
** Please apply online: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=100522&type=True&cfcend

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

Job Description:

Educational Testing Service has an opening for a Senior Research Assistant position in the Applied Research and Development Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in preparing study results for publication or presentation, including literature searches, producing charts and graphs, writing and editing.

Basic Functions and Responsibilities:

Coordinate research project workflow including planning and designing pilot and field testing; data collection, analysis, and presentation; preparation, production, and distribution of proposals and reports; maintaining data files; and producing workshop materials. Schedule services with other ETS departments and project staff. Act as liaison between project directors and field staff, support staff, and research community, as assigned. Plan, manage, and perform annotations for a variety of projects.

<ul>
<li>Collect, organize, and verify data; analyze, synthesize, and interpret data; perform statistical calculations.

<li>Monitor activities of temporary and support staff and data collection centers to control budgets, workflow, quality of coding operations, and project activities.

<li>Develop coding systems, procedures, and manuals; research instruments; statistical analyses; and files of current resource materials for workshops and projects.

<li>Write, revise, edit, and proofread research instruments, project documents and publications, memoranda, and correspondence.

<li>Contribute to formal reports and proposals (or sections thereof).

<li>Update publications and prepare graphics, tables, charts, graphs, figures, and visual aids. Administer tests, research instruments, interviews, and surveys.

<li>Conduct literature searches and prepare reference lists, evaluating and selecting materials to be included.

<li>Operate computer terminal to enter, edit, and update data; program and utilize sophisticated statistical packages for data analysis; act as data custodian for cost center.

<li>Select and train field staff; instruct support staff.

<li>Arrange and attend meetings with clients, committees, and consultants.

<li>Meet with clients to plan or interpret guidelines, as assigned.
</ul>

Required Experience:

EDUCATION A Bachelor's degree in a behavioral or social science with coursework in Statistics is necessary. Coursework or experience working in linguistics, computer science and/or natural language processing (NLP) technologies preferred.

EXPERIENCE A successful candidate will have exemplary written, grammatical, and technical skills. Three years of research-related experience in an academic or professional setting is necessary.


== Associate Research Engineer, Natural Language Processing ==
** Employer: ETS (Educational Testing Service)
** Speciality: Research
** Location: Princeton, New Jersey 08540
** Date Posted: 01/07/2011
** Link to website: http://www.Click2Apply.net/xymwg8p

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve. In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development. Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.In addition to exceptional verbal/written communication skills, our qualifications include: <ul> <li>Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field</li> <li>A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential</li> <li>Coursework in statistics and experience in using machine learning toolkits are highly desirable</li> <li>Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies</li> <li>Knowledge of UNIX and Windows computing environments</li> <li>Familiarity with UNIX tools and scripting languages and algorithms, methods and data structures in common use in the processing of speech and language data</li> </ul> We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend] EOE[http://www.Click2Apply.net/xymwg8p Apply Here]

== Associate Research Scientist, Speech ==
** ETS (Educational Testing Service)
** Research
** Princeton, New Jersey, United States, 08540
** 02/06/2011
** 01/07/2011
** http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve. In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field. You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.Our requirements include: <ul> <li>Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles</li> <li>Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators </li> <li>Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics </li> <li>Evidence of substantive research experience and/or experience in developing and deploying speech capabilities</li> <li>Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system</li> <li>Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting</li> </ul> We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend] EOE[http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049 Apply Here]

Employment opportunities, postdoctoral positions, summer jobs

2011-03-10T18:35:14Z

ETSOC:

Employment opportunities, postdoctoral positions, summer jobs

2011-03-10T17:11:18Z

ETSOC:

== Senior Research Scientist, Natural Language Processing ==
** ETS (Educational Testing Service)
** Research
** Princeton, New Jersey, 08540

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve. In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.Our qualifications include: <ul> <li>A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science</li> <li>Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study</li> <li>A strong statistical and machine learning background</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)</li> <li>The ability to lead the development of proposals for major research, development, or large-scale NLP projects,</li> <li>Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators </li> <li>Familiarity with the application of NLP tools to educational problems</li> <li>Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors</li> </ul> We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=104122&type=&cfcend EOE[http://www.Click2Apply.net/dm5y53s Apply Here]

Employment opportunities, postdoctoral positions, summer jobs

2011-03-10T17:08:37Z

ETSOC: /* Senior Research Scientist, Natural Language Processing */

Employment opportunities, postdoctoral positions, summer jobs

2011-03-10T17:08:11Z

ETSOC:

User:ETSOC

2011-03-10T17:04:25Z

ETSOC: New page: ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in ed...

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve. In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.Our qualifications include: <ul> <li>A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science</li> <li>Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study</li> <li>A strong statistical and machine learning background</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)</li> <li>The ability to lead the development of proposals for major research, development, or large-scale NLP projects,</li> <li>Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators </li> <li>Familiarity with the application of NLP tools to educational problems</li> <li>Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors</li> </ul> We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=104122&type=&cfcend EOE[http://www.Click2Apply.net/dm5y53s Apply Here]

User talk:ETSOC

2011-03-04T14:37:46Z

ETSOC: /* Employment opportunities, postdoctoral positions, summer jobs */

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve. In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.
Our qualifications include: <ul> <li>A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science</li> <li>Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study</li> <li>A strong statistical and machine learning background</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)</li> <li>The ability to lead the development of proposals for major research, development, or large-scale NLP projects,</li> <li>Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators </li> <li>Familiarity with the application of NLP tools to educational problems</li> <li>Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors</li> </ul> We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=104122&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=104122&type=&cfcend]

EOE

[http://www.Click2Apply.net/dm5y53s Apply Here]

Employment opportunities, postdoctoral positions, summer jobs

2011-03-01T18:43:01Z

ETSOC:

** ETS (Educational Testing Service)
** Senior Research Scientist, Natural Language Processing
** Research
** Princeton, New Jersey, United States, 08540
** 3/31/2011
** 3/01/2011
** http://www.Click2Apply.net/dm5y53s

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve. In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.Our qualifications include: <ul> <li>A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science</li> <li>Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study</li> <li>A strong statistical and machine learning background</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)</li> <li>The ability to lead the development of proposals for major research, development, or large-scale NLP projects,</li> <li>Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators </li> <li>Familiarity with the application of NLP tools to educational problems</li> <li>Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors</li> </ul> We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=104122&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=104122&type=&cfcend] EOE [http://www.Click2Apply.net/dm5y53s Apply Here]

* Archived postings:
** [[Employment opportunities posted 2010]]
** [[Employment opportunities posted 2009]]
** [[Employment opportunities posted 2008]]
** [[Employment opportunities posted 2007]]

== Text Mining and Natural Language Processing Specialists for eBay ==
** Employer: eBay
** Rank: Applied Researcher
** Speciality: Information Retrieval & Text Mining / NLP
** Location: San Jose, CA, USA
** Deadline: Until filled
** Date Posted: 2/25/2011
** Contact email: smohan@ebay.com
eBay is looking for experts in web-scale Information Retrieval and Text Mining / Natural Language Processing to join the Search Science team.

Bring your ideas, energy, and dedication to improve search experience on eBay. The world class search engine at the heart of eBay serves more than 350 million queries every day. The Search Science team is passionate about building the query services and relevance factors that will match our users’ needs to the products in the world's largest online marketplace, and we are looking for top-notch applied researchers.

'''QUALIFICATIONS'''

· Ph.D. in Computer Science or related field plus 4 years of relevant software industry R&D experience required.

· Expertise in Information Retrieval and Nature Language Processing.

· Strong statistical and machine learning background.

· Experience and proficiency in Java and/or C++, Perl or similar scripting languages, and distributed processing of documents and web logs using Hadoop.

· Track record of deploying cutting edge technology in an industrial setting.

'''JOB REQUIREMENTS'''

· Use your knowledge, skills, and passion for improving search to find opportunities in eBay's log data and search results.

· Use deep domain expertise to individually drive innovative ideas.

· Participate in brainstorming and discovery exercises to determine new ideas.

· Build experimental frameworks and gather data from across the company to support your work.

· Conduct experiments, write prototypes, write specifications, and optionally write production code to deploy new features and methods that improve search quality.

· Lead projects and collaborate with other researchers, engineers, and product teams to develop strategic and tactical enhancements to search.

· Provide technical leadership and mentoring to other team members.

· Lead and contribute to multiple small team projects.

· Communicate your methodology and results to a community of researchers, developers, analysts, and product managers working in search. Communicate to technical and nontechnical audiences inside and outside the search team.

· Participate in meetings with other eBay groups to document best practices and facilitate a knowledge base.

== Freelance British English, Japanese, and Mexican Spanish computational linguists==
** Employer: The Lingua Team
** Rank: Freelance contractor
** Speciality: Speech & Natural Language Processing
** Location: Seattle, WA (work can be done remotely)
** Deadline: 5/1/2011
** Date Posted: 2/12/2011
** Contact email: http://www.thelinguateam.com
The Lingua Team, a company based in the Seattle area, dedicated to linguistic services is always looking for a computational linguists with native or near native knowledge of the most common languages to do freelance work remotely. Please, visit our site and email your resume for consideration.

== French computational linguist==
** Employer: The Lingua Team
** Rank: Language support contractor
** Speciality: Speech recognition
** Location: Seattle, WA (work can be done remotely)
** Deadline: 03/04/2011
** Date Posted: 12/28/2010
** Contact email: http://www.thelinguateam.com
The Lingua Team, a Seattle area based company, dedicated to linguistic services is looking for a French computational linguist to create computational grammars in xml format. Knowledge of French is a must. Please, email your resume for consideration.

== Senior Research Assistant, Natural Language Processing ==
** Employer: ETS (Educational Testing Service)
** Speciality: Research
** Location: Princeton, New Jersey 08540
** Date Posted: 02/21/2011
** Please apply online: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=100522&type=True&cfcend

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

Job Description:

Educational Testing Service has an opening for a Senior Research Assistant position in the Applied Research and Development Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in preparing study results for publication or presentation, including literature searches, producing charts and graphs, writing and editing.

Basic Functions and Responsibilities:

Coordinate research project workflow including planning and designing pilot and field testing; data collection, analysis, and presentation; preparation, production, and distribution of proposals and reports; maintaining data files; and producing workshop materials. Schedule services with other ETS departments and project staff. Act as liaison between project directors and field staff, support staff, and research community, as assigned. Plan, manage, and perform annotations for a variety of projects.

<ul>
<li>Collect, organize, and verify data; analyze, synthesize, and interpret data; perform statistical calculations.

<li>Monitor activities of temporary and support staff and data collection centers to control budgets, workflow, quality of coding operations, and project activities.

<li>Develop coding systems, procedures, and manuals; research instruments; statistical analyses; and files of current resource materials for workshops and projects.

<li>Write, revise, edit, and proofread research instruments, project documents and publications, memoranda, and correspondence.

<li>Contribute to formal reports and proposals (or sections thereof).

<li>Update publications and prepare graphics, tables, charts, graphs, figures, and visual aids. Administer tests, research instruments, interviews, and surveys.

<li>Conduct literature searches and prepare reference lists, evaluating and selecting materials to be included.

<li>Operate computer terminal to enter, edit, and update data; program and utilize sophisticated statistical packages for data analysis; act as data custodian for cost center.

<li>Select and train field staff; instruct support staff.

<li>Arrange and attend meetings with clients, committees, and consultants.

<li>Meet with clients to plan or interpret guidelines, as assigned.
</ul>

Required Experience:

EDUCATION A Bachelor's degree in a behavioral or social science with coursework in Statistics is necessary. Coursework or experience working in linguistics, computer science and/or natural language processing (NLP) technologies preferred.

EXPERIENCE A successful candidate will have exemplary written, grammatical, and technical skills. Three years of research-related experience in an academic or professional setting is necessary.


== Associate Research Engineer, Natural Language Processing ==
** Employer: ETS (Educational Testing Service)
** Speciality: Research
** Location: Princeton, New Jersey 08540
** Date Posted: 01/07/2011
** Link to website: http://www.Click2Apply.net/xymwg8p

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve. In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development. Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.In addition to exceptional verbal/written communication skills, our qualifications include: <ul> <li>Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field</li> <li>A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential</li> <li>Coursework in statistics and experience in using machine learning toolkits are highly desirable</li> <li>Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies</li> <li>Knowledge of UNIX and Windows computing environments</li> <li>Familiarity with UNIX tools and scripting languages and algorithms, methods and data structures in common use in the processing of speech and language data</li> </ul> We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend] EOE[http://www.Click2Apply.net/xymwg8p Apply Here]

== Associate Research Scientist, Speech ==
** ETS (Educational Testing Service)
** Research
** Princeton, New Jersey, United States, 08540
** 02/06/2011
** 01/07/2011
** http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve. In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field. You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.Our requirements include: <ul> <li>Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles</li> <li>Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators </li> <li>Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics </li> <li>Evidence of substantive research experience and/or experience in developing and deploying speech capabilities</li> <li>Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system</li> <li>Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting</li> </ul> We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend] EOE[http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049 Apply Here]

Employment opportunities, postdoctoral positions, summer jobs

2011-01-07T19:49:31Z

ETSOC:

== Associate Research Engineer, Natural Language Processing ==
** Employer: ETS (Educational Testing Service)
** Speciality: Research
** Location: Princeton, New Jersey 08540
** Date Posted: 01/07/2011
** Link to website: http://www.Click2Apply.net/xymwg8p

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve. In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development. Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.In addition to exceptional verbal/written communication skills, our qualifications include: <ul> <li>Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field</li> <li>A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential</li> <li>Coursework in statistics and experience in using machine learning toolkits are highly desirable</li> <li>Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies</li> <li>Knowledge of UNIX and Windows computing environments</li> <li>Familiarity with UNIX tools and scripting languages and algorithms, methods and data structures in common use in the processing of speech and language data</li> </ul> We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend] EOE[http://www.Click2Apply.net/xymwg8p Apply Here]

== Associate Research Scientist, Speech ==
** ETS (Educational Testing Service)
** Research
** Princeton, New Jersey, United States, 08540
** 02/06/2011
** 01/07/2011
** http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve. In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field. You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.Our requirements include: <ul> <li>Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles</li> <li>Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators </li> <li>Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics </li> <li>Evidence of substantive research experience and/or experience in developing and deploying speech capabilities</li> <li>Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system</li> <li>Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting</li> </ul> We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend] EOE[http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049 Apply Here]

== French Canadian computational linguist==
** Employer: The Lingua Team
** Rank: Language support contractor
** Speciality: Speech recognition
** Location: Seattle, WA (work can be done remotely)
** Deadline: 01/04/2011 (apologies for the tight deadline)
** Date Posted: 12/28/2010
** Contact email: info at thelinguateam.com
The Lingua Team, a Seattle area based company, dedicated to linguistic services is looking for a French Canadian computational linguist to create speech recognition grammars in xml format. Knowledge of French Canadian is a must. Please, email your resume for consideration. A first set of tasks needs to be completed in the first week of January.

== NSF Post Doctoral Fellowship at Localot Research, Cambridge, MA==
** Employer: Localot Research
** Rank: Post Doctoral Fellow
** Speciality: NLP/ML research and development for Information Extraction
** Location: Cambridge, MA
** Deadline: 01/01/2011 (sorry for the late notice)
** Date Posted: 12/22/2010
** Contact email or link to website: http://www.localot.com (pauln@localot.com, work@localot.com)

A NSF postdoc position is available at Localot Research under the NSF SBIR fellowship program. Localot Research develops and applies machine learning and natural language processing techniques to meet both high-precision and high-recall information needs. Staffed with 6 research scientists, and supported by software engineers, Localot Research offers opportunities for applied research on a variety of projects, ranging from active learning for semi-supervised relation extraction to latent variable and multi-task modeling for robust adaptive information extraction and ranking systems.

The successful candidate will be a highly qualified postdoctoral fellow with a strong background in machine learning and natural language processing and a good research publication record in these areas. The candidate must have strong hands-on Java development skills and be able to perform research with close interaction with a small group of researcher scientists at Localot Research. Experience in processing very large noisy data sets is highly desirable as well as ability to clarify research goals consistently with business targets.

The position is initially for one year, ideally starting from January 2011, with potential
extension. The position will have an annual income of $75,000. In addition, the fellowship will provide the successful candidate with health insurance. The applicant must be a U.S. citizen, U.S. National or a permanent resident.

Please contact pauln@localot.com or work@localot.com as soon as possible for timely application.

==Post Doctoral Fellow, Natural Language Processing and Multilingual Semantic Annotation, Grenoble, France==
** Employer: Laboratoire d'Informatique de Grenoble, GETALP team, CNRS
** Rank or Title: Post Doctoral Fellow, Natural Language Processing and Multilingual Semantic Annotation and Classification
** Specialty: Research
** Location: Grenoble, France
** Deadline: 01/31/2011
** Date Posted: 12/07/2010
** Contact email or link to website: http://www.liglab.fr/IMG/protege/form9/PDoc-Videosense-getalp.pdf

The Study Group for Machine Translation and Automated Processing of Languages and Speech (GETALP)
at the LIG Lab (Laboratoire d’Informatique de Grenoble) located at Grenoble, France, has an immediate
opening for a Postdoctoral Fellow in the area of Natural Language Processing and Multilingual Semantic
Annotation and Classification. The Fellowship is for one year, beginning at the earliest convenience in 2011.

The candidate will be working in the framework of the VideoSense project sponsored by the ANR
(Agence Nationale de la Recherche) research funding agency. The VideoSense project aims at automatic video
tagging by high level concepts, including static concepts (e.g. object, scene, people, etc.), events, and emotions,
while targeting two applications, namely video recommendation and ads monetization, on the Ghanni’s media
assess management platform. The innovations targeted by the project include video content description by lowlevel
features, emotional video content recognition, cross-concept detection, multimodal fusion, and the use of a
pivot language for dealing with multilingual textual resources associated with video data. This post doctoral
position focusses on the processing of multilingual textual data.

The candidate will develop and integrate several components which will:
* gather large scale multilingual lexical resources in the concerned languages (English, French, German),
* train sets of conceptual vectors associated to word senses in the multilingual lexical resources,
* project each conceptual vector in a pivot vector space,
* provide a semantic analysis of the textual metadata associated to the video data.

All developments will be made in java.

'''Minimum Requirements'''

* PhD degree in Computer Science, Computational Linguistics, Natural Language Processing, or related fields defended less than 2 years before hiring date.
* Strong programming skills (java, perl, C++).
* Full spoken and written proficiency of French or English.

'''Preferred/Recommended Requirements'''

* Basic knowledge in Semantic Analysis of texts, Multilingual Language Resources,
* Ability to work in a research team
* Knowledge of French and/or German

'''Contact'''

Applicants should send a full CV in French or English, including a list of publications, a description of
previous research experience, names and contact of 2 referees, to Gilles Sérasset (Gilles.Serasset[ at ]imag.fr) as
soon as possible.

For more information, contact Gilles Sérasset at Gilles.Serasset[ at ]imag.fr.

==Associate Research Engineer, Natural Language Processing==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Associate Research Engineer, Natural Language Processing
** Specialty: Research
** Location: Princeton, New Jersey
** Deadline: 12/31/2010
** Date Posted: 12/01/2010
** Contact email or link to website: http://www.Click2Apply.net/rnnrpxe

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development.

Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.
Job Requirements

In addition to exceptional verbal/written communication skills, our qualifications include:

* Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field
* A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential
* Coursework in statistics and experience in using machine learning toolkits are highly desirable
* Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies
* Knowledge of UNIX and Windows computing environments
* Familiarity with UNIX tools and scripting languages and algorithms, methods and data structures in common use in the processing of speech and language data

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend

EOE

Apply Here: http://www.Click2Apply.net/rnnrpxe

==Post-doc in Natural Language Processing (Barcelona, Spain)==
** Employer: Universitat Pompeu Fabra, Barcelona, Spain
** Rank or Title: Postdoctoral Researcher
** Specialty: Research and Development
** Location: Barcelona, Spain
** Deadline: 6/12/2010
** Date Posted: 19/11/2010
** Contact email or link to website: http://www.taln.upf.edu/

The Natural Language Processing Research group (TALN) at the Department of Communication and Information Technologies, Universitat Pompeu Fabra has a 2-years open position in the area of automatic text simplification in Spanish in the context of the research project Simplext.

We are looking for candidates with experience in natural language processing (NLP) and in particular with knowledge and experience in empirical methods (machine learning for NLP). Candidates with interest and/or experience in automatic text summarization, text simplification, text-to-text generation, and development of NLP applications are particularly welcome.

We require:

- PhD with specialization in Natural Language Processing;

- Experience in developing NLP applications and Web services;

- Experience with NLP platforms and tools for the automatic analysis of Spanish language;

- Knowledge and use of the Java language;

- Proficiency in English

We offer:

- A 2-years research contract with a maximum gross salary of 28.842,72€ depending on experience

- Work in a research project with relevance to society

- Work for a dynamic and collaborative research team

- The position is available immediately

Universitat Pompeu Fabra (UPF) is recognised internationally for the quality of its research, it is also one of the top 5 Spanish universities in terms of scientific production and academia efficiency. The NLP group is situated in Campus de la Comunicación in the innovation district of Barcelona 22@.

If you are interested in working with us, please send the following documentation:

- Cover letter including your contact details

- A CV and list of publications

- The names and contact details of 3 people who can act as your references

Send the documentation by e-mail to Dr. Horacio Saggion, the subject of your e-mail should be “Simplext-TALN-Pos-Doc”. Deadline to send your application is 6th of December. If you have any informal query please contact Dr. Horacio Saggion.
Consult http://www.taln.upf.edu for contact details.

==Pre-doc in Natural Language Processing (Barcelona, Spain)==
** Employer: Universitat Pompeu Fabra, Barcelona, Spain
** Rank or Title: Predoctoral Researcher
** Specialty: Research and Development
** Location: Barcelona, Spain
** Deadline: 6/12/2010
** Date Posted: 19/11/2010
** Contact email or link to website: http://www.taln.upf.edu/

The Natural Language Processing Research group (TALN) at the Department of Communication and Information Technologies, Universitat Pompeu Fabra has a 12-months open position in the area of automatic text simplification in Spanish in the context of the research project Simplext.

We are looking for candidates with some experience in natural language processing (NLP) and willing to pursue a PhD in NLP. Candidates with interest and/or experience in automatic text summarization, text simplification, text-to-text generation, and development of NLP applications are particularly welcome.

We require:

- A degree in Computer Science or related field

- Experience in NLP, Machine Learning, or Artificial Intelligence

- Experience in Java programming and Web Service development

We offer:

- A 12-months research contract

- Dynamic and collaborative working environment

- A maximum gross salary of 15.530,76€ depending on experience

- The position is available from January 2011.

Universitat Pompeu Fabra (UPF) is recognised internationally for the quality of its research, it is also one of the top 5 Spanish universities in terms of scientific production and academia efficiency. The NLP group is situated in Campus de la Comunicación in the innovation district of Barcelona 22@.

If you are interested in working with us, please send the following documentation:

- Cover letter including your contact details

- A CV and list of publications

- The names and contact details of 2 people who can act as your references

Send the documentation by e-mail to Dr. Horacio Saggion, the subject of your e-mail should be “Simplext-TALN-Pre-Doc”. Deadline to send your application is 6th of December. If you have any informal query please contact Dr. Horacio Saggion.
Consult http://www.taln.upf.edu for contact details.

== Research Fellow, NLP and MT for Arabic ==
** Employer: University of Wolverhampton, UK
** Rank or Title: Research Fellow
** Specialty: Research and Development
** Location: Wolverhampton, UK
** Deadline: 30/11/2010
** Date Posted: 18/11/2010
** Contact email or link to website: lspecia@gmail.com

The Research Group in Computational Linguistics (http://clg.wlv.ac.uk/), University of Wolverhampton, invites applications for a research fellowship in the area of Arabic Natural Language Processing for a fixed-term contract: 12 months. The candidate will be expected to carry out research in the topic of evaluation of Arabic-English machine translation. He/she will contribute to the collection of data, proposal, design and evaluation of quality estimation approaches. He/she may also contribute to the implementation of the proposed approaches, which will be performed by an experienced programmer.

A successful applicant must:
- Have a good honours degree or equivalent in Computational Linguistics, Artificial Intelligence, Linguistics, Computer Science/Engineering, Mathematics, Statistics, or related areas.
- Be a native or fluent speaker of Arabic or have sufficient knowledge of the language proved by previous research related to the language.
- Have experience in Computational Linguistics / Natural Language Processing, particularly the area of Machine Translation evaluation. A PhD in the field is ideal, but masters level or work experience are also acceptable.
- Be eligible to work in the UK, as the job requires an immediate start. Part-time applications from candidates currently studying in the UK will also be considered.

The starting date is early December 2010.

The application deadline is November 30, 2010.

Applications should be sent by e-mail to:

Dr. Lucia Specia
lspecia@gmail.com

Applications must include:

1) A curriculum vitae indicating degrees obtained, course covered, publications, relevant work experience, and names of 3 referees that could be contacted if necessary.

2) A 1-page cover letter with statement of research experience, indicating why you are interested in this position and why you consider your experience is relevant.

3) A job application form that can be downloaded from: http://www2.wlv.ac.uk/pers/jobdetails/pers_jobapp_word_oct10.doc

The successful candidate will work with the Computational Linguistics group. Established by Prof. Ruslan Mitkov in 1998, the Research Group in Computational Linguistics is highly successful, delivering cutting-edge research in a number of NLP areas such as anaphora resolution, automatic summarisation, question answering, lexical knowledge acquisition, text categorisation, named entity recognition, information extraction, corpus construction and annotation, automatic terminology processing, multilingual processing, and multiple-choice question generation. To a large extent, this research has been undertaken in projects funded by major EU and UK funding bodies and commercial partners.

The results from the latest Research Assessment Exercise announced on 17 December 2008 confirm the Research Group in Computational Linguistics as one of the top performers in UK research. The research group was entered in Unit of Assessment "Linguistics" and Wolverhampton was ranked joint 3rd with 2 more universities. According to the league tables of the Guardian, The Times and Research Fortnight, research in Linguistics at the University of Wolverhampton is one of the top 6 best in the UK.

== Associate Research Scientist, Speech==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Associate Research Scientist, Speech
** Specialty: Research
** Location: Princeton, New Jersey, United States, 08540
** Deadline: 12/04/2010
** Date Posted: 11/04/2010
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field.

You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.

Our requirements include:

* Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles
* Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators
* Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics
* Evidence of substantive research experience and/or experience in developing and deploying speech capabilities
* Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system
* Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

== Senior Research Scientist, Natural Language Processing==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Senior Research Scientist, Natural Language Processing
** Specialty: Research
** Location: Princeton, New Jersey, United States, 08540
** Deadline: 12/04/2010
** Date Posted: 11/04/2010
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.

Job Requirements

Our qualifications include:

* A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science
* Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study
* A strong statistical and machine learning background
* Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems
* Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)
* The ability to lead the development of proposals for major research, development, or large-scale NLP projects, obtain financial support for new or continuing research activities and maintain appropriate contact with funding agencies for the development of new research programs and projects
* Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators
* Familiarity with the application of NLP tools to educational problems
* Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97875&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

== Research Scientist/NLP Developer==
*'''Employer''': stealth startup
*'''Rank or Title''': Research Scientist/NLP Developer
*'''Specialty''': NLP, Medical Informatics, Data Scientist
*'''Location''': Menlo Park, CA
*'''Deadline''': Open until filled. Applications reviewed immediately.
*'''Date Posted''': October 22, 2010
*'''Contact''': jchew@oneteamtech.com

As a Research Scientist, you will contribute to the development of algorithms and content for medical web applications and healthcare data processing tools. You will be part of the Informatics research team building intelligent software systems for integrating various types of healthcare data in a research and development environment.

Qualifications & Requirements

* PhD (preferred) or Master's degree in Computer Science, Computational Linguistics, Mathematics or related fields
* Experience with NLP, text processing, text mining, search algorithms, machine learning
* Experience with Medical terminology and data sources (preferred)
* Data mining and analysis of large data sets (preferred)
* Strong analytical and algorithm design abilities
* Experience in Java development
* Excellent communication skills
* Ability to work as a team with scientists, engineers and medical professionals
* Must be an independent self-starter

== Natural Language Processing Expert ==
* '''Employer''': RealHealthData
* '''Rank or Title''': Assistant Professor, Computer Scientist, NLP Expert.
* '''Specialty''': Natural Language Processing
* '''Location''': Santa Cruz, CA (Telecommuting OK)
* '''Deadline''': Open until filled, application review begins immediately.
* '''Date Posted''': October 20, 2010
* '''Contact''': paul.murphy@realhealthdata.com

Throughout 2009, a contract-based NLP expert produced an initial dataset derived from de-identified medical records, which are used to analyze trends and patterns in the medical research field.

During the de-identification and processing phase, metadata such as practice specialty and location was manually included as a reference alongside all documents. Another product that needs optimization in this project is an application that allows the input of additional medical records, in Microsoft Word format, to the main database using the same algorithm as the initial process.

The objective is to identify the weaknesses in the algorithm, which have led to a lower amount of extracted data than should be expected, considering the rich content of documents. Once the algorithm is optimized, it should be run on all documents in our current pool, generating a more complete and updated dataset. The project will conclude once we have a new full dataset, and a C# application fit for seamless input in the future.

Skills:
-3+ years of experience with command of at least one NLP tool, and/or experience with projects involving NLP and Text Mining or developing NLP solutions.
-Knowledge of analytics and data visualization
-Knowledge of spreadsheet-based analysis and reporting
-Experience with programming to implement NLP solutions (C#)
-Knowledge of key NLP techniques, including part-of-text tagging, syntactic parsing, information extraction, etc.

== Assistant Professor, Machine Learning ==
* '''Employer''': The Ohio State University
* '''Rank or Title''': Assistant Professor, Tenure Track
* '''Specialty''': Machine Learning
* '''Location''': Columbus, OH
* '''Deadline''': Open until filled, application review begins November 2010.
* '''Date Posted''': October 6, 2010
* '''Contact''': http://www.cse.ohio-state.edu/department/positions.shtml

The Computer Science & Engineering Department at Ohio State has multiple
assistant professor openings this year, one of which is targeted for
machine learning. Application review will begin in November. More
information can be found at the following site:

http://www.cse.ohio-state.edu/department/positions.shtml

== Scientist/Sr. Scientist, Text Mining Biologist ==
* '''Employer''': Pfizer
* '''Rank or Title''': Scientist/Sr. Scientist, Text Mining Biologist
* '''Specialty''': Text Mining
* '''Location''': South San Francisco, CA
* '''Deadline''': Open until filled
* '''Date Posted''': August 26, 2010
* '''Contact''': http://www.pfizer.com

At Pfizer BioTherapeutics Division, Applied Quantitative Genotherapeutics (AQG) group, we are dedicated to developing and implementing investigative approaches focused on evaluating potential drug candidates and identifying new targets in preclinical models of disease. We use the latest scientific knowledge and apply novel approaches to discover new ways of treating disease. We encourage cooperation and support a high level of scientific freedom to find the best answers to biological questions. Located in South San Francisco, AQG provides the feel of a small start-up company with the resources of a large pharmaceutical company in the heart of the biotech capital of the world.

Responsibilities:

As part of the Applied Quantitative Genotherapeutics group, you will be working with a multi-disciplinary team using both bench biology and computational skills. You will use your understanding of biology and text analytics to partner with, and support project teams and individuals in research, clinical or business units.

You will assist in the specification of tools and methods for accessing, mining, and analyzing biomedical text. You will partner with Pfizer colleagues, publishers, and commercial vendors to evaluate, implement, test, and integrate best-in-class text mining capabilities. You will assist in the creation of custom corpora that can be interrogated by, and integrated with the text mining capabilities described above. You will assist in the evaluation, curation and administration of taxonomies, thesauri, and ontologies in compliance. You will assist in quantifying the quality of text mining capabilities. You will assist with testing, training, and communications related to the text mining capabilities described above, and perform related duties and manage special projects, as needed. This position will be deployed in South San Francisco, but will interact seamlessly with a similar group in Cambridge MA.

Qualifications:

MS or PhD required in the biomedical sciences (or equivalent) and a minimum of 1-3 years experience working in a biotechnology or pharmaceutical organization. Applicants must have knowledge of text mining principles and practices, demonstrated experience in the application of ontologies, taxonomies, and thesauri for text mining purposes, and familiarity with commercial and public biomedical information sources and vendors. Awareness of current and emerging text mining tools and trends, as demonstrated by active participation in professional organizations and in professional development activities, is also desired. Must possess good verbal and written communication skills, as required for communications with colleagues, vendors and project teams. Must be independent and self-motivated, with a propensity to seek out challenges and capitalize on new opportunities.

Please submit resumes for Requisition #942862 to www.pfizer.com

== Research Scientist, Natural Language Processing ==
* '''Employer''': ETS (Educational Testing Service)
* '''Rank or Title''': Research Scientist, Natural Language Processing
* '''Specialty''': Research
* '''Location''': Princeton, New Jersey, United States, 08540
* '''Deadline''': Open until filled
* '''Date Posted''': July 21, 2010
* '''Contact''': [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3BB not for profit organization dedicated to advancing educational excellence and a leader in educational research. Our mission is to advance quality and equity in education as an innovator in developing achievement and occupational tests for clients in business, education and government. ETS Research & Development has an immediate opening for an Associate Research Scientist in the Center for Automated Scoring and Natural Language Processing. This position will be responsible for a mixture of operational and research efforts related to ETS' automated scoring technologies housed in the Automated Scoring and Natural Language Processing group. These technologies include automated essay scoring (e-rater), scoring short answers for correctness of content (c-rater), mathematical equations and plots (m-rater), and scoring the spontaneous speech of English Language Learners (SpeechRater). Responsibilities of the position include but are not limited to: <ul> <li>Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing and disseminating results of research projects in the field of natural language processing (NLP) or portions of large-scale research studies or programs in the same field.</li> <li>Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP analysis and evaluation systems which are used to improve assessments, learning tools and test development practices.</li> <li>Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.</li> <li>Develop and oversee the conduct of selected portions of research proposals and project budgets.</li> <li>Design and conduct complex scientific studies functioning as an expert in major facets of the projects.</li> <li>Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.</li> <li>Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.</li> <li>Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.</li> </ul>

Requirements: <ul> <li>Ph.D. in Natural Language Processing, Computational Linguistics or Computer Science with an emphasis on issues in syntactic and/or semantic analysis of text is desired.</li> <li>Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms and tools would be an asset.</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems required.</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python) is also required.</li> </ul> We offer a competitive salary, a stimulating work environment, attractive growth potential and excellent benefits including medical/dental, flexible spending, 403(b) with company match and more. Please apply directly online to the ETS Careers page at:ETS is an Equal Opportunity, Affirmative Action Employer. [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=91476&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail] [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]

== Programmer Analyst, Linguistic Data Consortium, Philadelphia, PA, USA ==
* '''Employer''': Linguistic Data Consortium, the University of Pennsylvania, USA
* '''Rank or Title''': Programmer Analyst (#100328205)
* '''Specialty''': Corpus Creation, Annotation Tool Development
* '''Location''': Philadelphia, PA, USA
* '''Deadline''': Open until filled
* '''Date Posted''': June 24, 2010
* '''Contact''': Please visit [http://jobs.hr.upenn.edu/applicants/Central?quickFind=191248 application URL]

This position will support LDC's language resource creation projects by providing programming, research and other technical support in a rapid prototyping environment, for multiple concurrent projects with evolving technical requirements. In collaboration with technical managers, non-technical project staff and external researchers, this candidate will assess technical requirements for projects, develop plans for satisfying those needs, and implement technical specifications within stringent deadlines and budget constraints.

For further information or to apply online, visit the application URL above.

This position is contingent upon funding.

Penn offers an excellent benefits package including medical/dental, retirement plans, tuition assistance and a minimum of 3 weeks paid vacation per year.

The University of Pennsylvania does not discriminate on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status or any other legally protected class status in the administration of its admissions, financial aid, educational or athletic programs, or other University-administered programs or in its employment practices. Questions or complaints regarding this policy should be directed to the Executive Director of the Office of Affirmative Action and Equal Opportunity Programs, Sansom Place East, 3600 Chestnut Street, Suite 228, Philadelphia, PA 19104-6106; or (215) 898-6993 (Voice) or (215) 898-7803 (TDD).

== Computational Linguist contracts (Several languages) ==
* '''Employer''': The Lingua Team, LLC
* '''Rank or Title''': Computational linguist
* '''Specialty''': Grammar and syntax in foreign languages
* '''Location''': Redmond, WA, USA
* '''Deadline''': July 30, 2010
* '''Date Posted''': June 15, 2010
* '''Contact''': The Lingua Team website[http://www.thelinguateam.com], or email [mailto:info@thelinguateam.com]

Description: The Lingua team provides linguistic services to IT companies worldwide.

We are looking for computational linguists to describe properties relevant to grammar checking for several language groups: Semitic,
Romance, Slavic, Germanic, and Agglutinative. The actual list of languages includes: Arabic, Brazilian Portuguese, Bulgarian, Czech,
Danish, Dutch, European Portuguese, Finnish, Hebrew, Hungarian, Italian, Norwegian Bokmal, Polish, Romansh, Russian, Swedish, and
Turkish.

These positions require native or near native knowledge of the above languages to describe properties relevant to grammar checking for one or more of these languages.

Required: Degreed
linguist with graduate-level studies with proven experience managing or performing computational linguistic work (syntax, morphology,
lexicography) in several languages. Self-starter, ability to work independently, excellent written communication skills. Work permit
for the USA.

Preferred: Experience writing rules in a formal system, ideally for style or grammar checking applications. Additional
Information: Contract full-time for three months, to be extended for a year depending on ability to meet the job demands. Though the location of this project is Redmond, WA (USA) working from your location after the initial training might be a possibility.

== Government internships (unpaid) in text classification and search ==
* '''Employer''': U.S. Patents and Trademarks Office
* '''Rank or Title''': Student Volunteer
* '''Specialty''': Computer and Information Science
* '''Location''': Alexandria, VA, USA
* '''Deadline''': October 08, 2010
* '''Date Posted''': March 29, 2010
* '''Contact''': [http://is.gd/b616r Listing at USAJOBS.gov]

Description:
The USPTO is responsible for granting U.S. Intellectual Property
Rights for Patents and Trademarks and has been serving the economic
interests of America for more than 200 years. The Office is a heavy
user of text analysis and search tools for both text and images, and
is in the midst of an entire redesign of its Information Technology
system. This internship is an opportunity to make a difference to the
entire U.S. economy by applying your skills in user interface design
and evaluation, text classification algorithm design and evaluation,
and search interface and algorithm design and evaluation. For more
information about the USPTO, please visit our website at
http://www.uspto.gov.

The Office of the Chief Information Technology (IT) Strategist is
looking for enthusiastic individuals to design new and evaluate
existing interfaces and algorithms for text and image search, and for
text and image classification and comparison. Tasks will include some
combination of designing, programming, usability testing, and report
writing, with an option to write publishable research papers.
Projects include designing and testing algorithms and interfaces for
collaborative search, for integrated faceted classification into
search tools, for automating assignment of faceted classifications to
patent documents as well as to non-patent prior art, for allowing the
public as well as PTO employees to comment on and annotate documents,
and to compare the contents of structured text documents visually and
algorithmically. Students with skills in designing tools for online
social interaction are also encouraged to apply.

Requirements:

- US CITIZENSHIP IS REQUIRED. SOCIAL SECURITY NUMBER IS REQUIRED.

- Applicants MUST be ENROLLED in A GRADUATE PROGRAM/SUBMIT TRANSCRIPT.

- Applicants MUST submit ONE to THREE LETTERS OF RECOMMENDATION.

See link above for more details.

== Biomedical Text mining Position available, CNIO - Madrid, Spain ==

* '''Employer''': Spanish National Cancer Research Center (CNIO)
* '''Rank or Title''': Project associate research position
* '''Specialty''': Biomedical Text mining
* '''Location''': Madrid, Spain
* '''Deadline''': March 01, 2010
* '''Date Posted''': Feb 01, 2010
* '''Contact''': Martin Krallinger - mkrallinger@cnio.es

Description:
The candidate will work within a multidisciplinary team involved in the development and application of biomedical text mining and natural language processing approaches.

The overall aim of this work is to develop and apply text mining and natural language processing technologies to biomedical literature, covering aspects related to automatic text classification using machine learning methods, the detection of entities of biological interest from text and the extraction and ranking of biological relations from the biomedical literature. A special focus will be given to certain topics such as cancer related literature and protein interactions.

Expected outcomes will include fundamental research in biomedical text mining, publications in high-impact journals and development of biomedical text mining applications and services. The resulting strategies will be applied to process article abstracts, full text articles as well as clinical records.

Requirements:
Applicants should possess an MSc (preferably a PhD) in biology, computer science or related areas with specific knowledge in Computer Science, Bioinformatics, Computational Linguistics, Statistics or Machine Learning or Text Mining.

1) Candidates should have the following qualifications:
- Competitive software engineering skills (demonstrable knowledge of at least two programming languages such as python, C/C++, Java, Perl and the development of online web applications).
- A solid background and interest in statistical and machine learning methods
- Ability to develop algorithms and software for natural language processing/text mining systems
- Good English communication skills
- A strong interest in collaborating with experts from the biomedical, molecular biology and bioinformatics domains and text mining.

2) Other desirable skills and selection criteria include:
- Exposure to biomedical texts/domain.
- Familiarity with development of Web Services
- Well organized and have the ability to work in an interdisciplinary team.
- The publication record would be an advantage.
- Familiarity with NLP tasks such as named entity recognition, summarization, information extraction, and information retrieval will
be also highly desirable.
- Familiarity with some of the existing software that might be relevant to the research topic (like Weka, LibSVM, Lucene, GATE, NLTK, or Mallet).
- Interest in the evaluation of systems performance and community challenges.

Organization:
The Spanish National Cancer Centre (CNIO, Madrid, Spain - http://www.cnio.es/ing/index.asp) is one of the few European Cancer Centers to allocate resources to both basic and applied research in an integrated fashion, thus supporting the interaction of basic research programmes with those of molecular diagnostics and drug discovery. All CNIO programmes benefit from excellent equipment, technology, and technical services. The CNIO employs about 500 scientists, it offers excellent work conditions including competitive salary, and world-class computing infrastructure.
The Structural and Computational Biology Programme at CNIO, leaded by Dr. Alfonso Valencia integrates several research groups, including the Computational Biology group, a Bioinformatics support unit and the central node of the Spanish Bioinformatics Institute, a Genome Spain platform. The computational facilities and infrastructure cover all the needs of the research in modern text mining and NLP, computational biology and provides excellent grounds for the analysis of high-throughput genomic data.
The research group contributed significantly to the biomedical text mining research over the past years, from initial work related to the analysis of protein families, microarray data and protein interactions to the development of popular online applications such as the iHOP server or PLAN2L. Recent research efforts also promoted the organization of the BioCreative text-mining challenges, the development of the BioCreative metaserver and the BioCreative II.5 competition. The research group has a well-established international network of collaborations with other text mining groups, bioinformatics and biological database teams and experimental biomedical researches.

Salary:
Between 25,000 and 30,000 Euro / year depending qualifications. Contract for 2-3 years.

Application:
Requests for additional information or formal applications (including Application letters, extensive CV and PhD/MA thesis and the names of at least two references) can be sent to Martin Krallinger: mkrallinger@cnio.es

== Full Professor, Theoretical Computational Linguistics, Potsdam, Germany ==

* '''Employer''': Potsdam
* '''Rank or Title''': Full Professor (W3)
* '''Specialty''': Theoretical Computational Linguistics
* '''Location''': Potsdam, Germany
* '''Deadline''': Feb 20, 2010
* '''Date Posted''': Jan 21, 2010
* '''Contact''': [http://www.ling.uni-potsdam.de] vasishth@uni-potsdam.de

Professorship (W3) in Theoretical Computational Linguistics, University of Potsdam

The University of Potsdam invites applications for the post of full professor in Theoretical Computational Linguistics. Theoretical Computational Linguistics at Potsdam plays an important role in connecting theoretical linguistics, clinical and psycholinguistics and computational linguistics. The ideal candidate will have expertise in one or more of these areas:

* Grammar formalisms and (probabilistic) parsing of natural language
* machine learning techniques for language processing
* computational semantics

Knowledge of symbolic and/or statistical methods and corpus-based methods is presupposed. The research profile of the candidate should fit into the interdisciplinary nature of the Excellence Center for Cognitive Sciences at Potsdam [http://www.uni-potsdam.de/humfak/hum-exzellenzbereich.html]. Participation is expected in the Collaborative Research Project (Sonderforschungsbereich 632), Information Structure: the linguistic means for structuring utterances, sentences and texts [http://www.sfb632.uni-potsdam.de/main.html], and in other projects related to cognitive science. Experience in obtaining third-party funding and an international presence is desirable.

The University of Potsdam is an Equal Opportunity employer and is actively engaged in increasing the proportion of women in research and teaching; qualified women are therefore encouraged to apply. All other things being equal, handicapped candidates will be given preference.

Questions regarding the job opening should be directed to Shravan Vasishth (vasishth@uni-potsdam.de).

Applications should be received by February 20 2010, and should be sent to:
The President, University of Potsdam, Am Neues Palais 10, 14469 Potsdam, Germany

Employment opportunities, postdoctoral positions, summer jobs

2011-01-07T19:47:36Z

ETSOC:

== Associate Research Engineer, Natural Language Processing ==
** Employer: ETS (Educational Testing Service)
** Speciality: Research
** Location: Princeton, New Jersey 08540
** Date Posted: 01/07/2011
** Link to website: http://www.Click2Apply.net/xymwg8p

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve. In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development. Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.In addition to exceptional verbal/written communication skills, our qualifications include: <ul> <li>Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field</li> <li>A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential</li> <li>Coursework in statistics and experience in using machine learning toolkits are highly desirable</li> <li>Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies</li> <li>Knowledge of UNIX and Windows computing environments</li> <li>Familiarity with UNIX tools and scripting languages and algorithms, methods and data structures in common use in the processing of speech and language data</li> </ul> We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend] EOE[http://www.Click2Apply.net/xymwg8p Apply Here]

** ETS (Educational Testing Service)
** Associate Research Scientist, Speech
** Research
** Princeton, New Jersey, United States, 08540
** 02/06/2011
** 01/07/2011
** http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve. In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field. You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.Our requirements include: <ul> <li>Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles</li> <li>Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators </li> <li>Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics </li> <li>Evidence of substantive research experience and/or experience in developing and deploying speech capabilities</li> <li>Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system</li> <li>Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting</li> </ul> We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend] EOE[http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049 Apply Here]

== French Canadian computational linguist==
** Employer: The Lingua Team
** Rank: Language support contractor
** Speciality: Speech recognition
** Location: Seattle, WA (work can be done remotely)
** Deadline: 01/04/2011 (apologies for the tight deadline)
** Date Posted: 12/28/2010
** Contact email: info at thelinguateam.com
The Lingua Team, a Seattle area based company, dedicated to linguistic services is looking for a French Canadian computational linguist to create speech recognition grammars in xml format. Knowledge of French Canadian is a must. Please, email your resume for consideration. A first set of tasks needs to be completed in the first week of January.

== NSF Post Doctoral Fellowship at Localot Research, Cambridge, MA==
** Employer: Localot Research
** Rank: Post Doctoral Fellow
** Speciality: NLP/ML research and development for Information Extraction
** Location: Cambridge, MA
** Deadline: 01/01/2011 (sorry for the late notice)
** Date Posted: 12/22/2010
** Contact email or link to website: http://www.localot.com (pauln@localot.com, work@localot.com)

A NSF postdoc position is available at Localot Research under the NSF SBIR fellowship program. Localot Research develops and applies machine learning and natural language processing techniques to meet both high-precision and high-recall information needs. Staffed with 6 research scientists, and supported by software engineers, Localot Research offers opportunities for applied research on a variety of projects, ranging from active learning for semi-supervised relation extraction to latent variable and multi-task modeling for robust adaptive information extraction and ranking systems.

The successful candidate will be a highly qualified postdoctoral fellow with a strong background in machine learning and natural language processing and a good research publication record in these areas. The candidate must have strong hands-on Java development skills and be able to perform research with close interaction with a small group of researcher scientists at Localot Research. Experience in processing very large noisy data sets is highly desirable as well as ability to clarify research goals consistently with business targets.

The position is initially for one year, ideally starting from January 2011, with potential
extension. The position will have an annual income of $75,000. In addition, the fellowship will provide the successful candidate with health insurance. The applicant must be a U.S. citizen, U.S. National or a permanent resident.

Please contact pauln@localot.com or work@localot.com as soon as possible for timely application.

==Post Doctoral Fellow, Natural Language Processing and Multilingual Semantic Annotation, Grenoble, France==
** Employer: Laboratoire d'Informatique de Grenoble, GETALP team, CNRS
** Rank or Title: Post Doctoral Fellow, Natural Language Processing and Multilingual Semantic Annotation and Classification
** Specialty: Research
** Location: Grenoble, France
** Deadline: 01/31/2011
** Date Posted: 12/07/2010
** Contact email or link to website: http://www.liglab.fr/IMG/protege/form9/PDoc-Videosense-getalp.pdf

The Study Group for Machine Translation and Automated Processing of Languages and Speech (GETALP)
at the LIG Lab (Laboratoire d’Informatique de Grenoble) located at Grenoble, France, has an immediate
opening for a Postdoctoral Fellow in the area of Natural Language Processing and Multilingual Semantic
Annotation and Classification. The Fellowship is for one year, beginning at the earliest convenience in 2011.

The candidate will be working in the framework of the VideoSense project sponsored by the ANR
(Agence Nationale de la Recherche) research funding agency. The VideoSense project aims at automatic video
tagging by high level concepts, including static concepts (e.g. object, scene, people, etc.), events, and emotions,
while targeting two applications, namely video recommendation and ads monetization, on the Ghanni’s media
assess management platform. The innovations targeted by the project include video content description by lowlevel
features, emotional video content recognition, cross-concept detection, multimodal fusion, and the use of a
pivot language for dealing with multilingual textual resources associated with video data. This post doctoral
position focusses on the processing of multilingual textual data.

The candidate will develop and integrate several components which will:
* gather large scale multilingual lexical resources in the concerned languages (English, French, German),
* train sets of conceptual vectors associated to word senses in the multilingual lexical resources,
* project each conceptual vector in a pivot vector space,
* provide a semantic analysis of the textual metadata associated to the video data.

All developments will be made in java.

'''Minimum Requirements'''

* PhD degree in Computer Science, Computational Linguistics, Natural Language Processing, or related fields defended less than 2 years before hiring date.
* Strong programming skills (java, perl, C++).
* Full spoken and written proficiency of French or English.

'''Preferred/Recommended Requirements'''

* Basic knowledge in Semantic Analysis of texts, Multilingual Language Resources,
* Ability to work in a research team
* Knowledge of French and/or German

'''Contact'''

Applicants should send a full CV in French or English, including a list of publications, a description of
previous research experience, names and contact of 2 referees, to Gilles Sérasset (Gilles.Serasset[ at ]imag.fr) as
soon as possible.

For more information, contact Gilles Sérasset at Gilles.Serasset[ at ]imag.fr.

==Associate Research Engineer, Natural Language Processing==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Associate Research Engineer, Natural Language Processing
** Specialty: Research
** Location: Princeton, New Jersey
** Deadline: 12/31/2010
** Date Posted: 12/01/2010
** Contact email or link to website: http://www.Click2Apply.net/rnnrpxe

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development.

Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.
Job Requirements

In addition to exceptional verbal/written communication skills, our qualifications include:

* Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field
* A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential
* Coursework in statistics and experience in using machine learning toolkits are highly desirable
* Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies
* Knowledge of UNIX and Windows computing environments
* Familiarity with UNIX tools and scripting languages and algorithms, methods and data structures in common use in the processing of speech and language data

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend

EOE

Apply Here: http://www.Click2Apply.net/rnnrpxe

==Post-doc in Natural Language Processing (Barcelona, Spain)==
** Employer: Universitat Pompeu Fabra, Barcelona, Spain
** Rank or Title: Postdoctoral Researcher
** Specialty: Research and Development
** Location: Barcelona, Spain
** Deadline: 6/12/2010
** Date Posted: 19/11/2010
** Contact email or link to website: http://www.taln.upf.edu/

The Natural Language Processing Research group (TALN) at the Department of Communication and Information Technologies, Universitat Pompeu Fabra has a 2-years open position in the area of automatic text simplification in Spanish in the context of the research project Simplext.

We are looking for candidates with experience in natural language processing (NLP) and in particular with knowledge and experience in empirical methods (machine learning for NLP). Candidates with interest and/or experience in automatic text summarization, text simplification, text-to-text generation, and development of NLP applications are particularly welcome.

We require:

- PhD with specialization in Natural Language Processing;

- Experience in developing NLP applications and Web services;

- Experience with NLP platforms and tools for the automatic analysis of Spanish language;

- Knowledge and use of the Java language;

- Proficiency in English

We offer:

- A 2-years research contract with a maximum gross salary of 28.842,72€ depending on experience

- Work in a research project with relevance to society

- Work for a dynamic and collaborative research team

- The position is available immediately

Universitat Pompeu Fabra (UPF) is recognised internationally for the quality of its research, it is also one of the top 5 Spanish universities in terms of scientific production and academia efficiency. The NLP group is situated in Campus de la Comunicación in the innovation district of Barcelona 22@.

If you are interested in working with us, please send the following documentation:

- Cover letter including your contact details

- A CV and list of publications

- The names and contact details of 3 people who can act as your references

Send the documentation by e-mail to Dr. Horacio Saggion, the subject of your e-mail should be “Simplext-TALN-Pos-Doc”. Deadline to send your application is 6th of December. If you have any informal query please contact Dr. Horacio Saggion.
Consult http://www.taln.upf.edu for contact details.

==Pre-doc in Natural Language Processing (Barcelona, Spain)==
** Employer: Universitat Pompeu Fabra, Barcelona, Spain
** Rank or Title: Predoctoral Researcher
** Specialty: Research and Development
** Location: Barcelona, Spain
** Deadline: 6/12/2010
** Date Posted: 19/11/2010
** Contact email or link to website: http://www.taln.upf.edu/

The Natural Language Processing Research group (TALN) at the Department of Communication and Information Technologies, Universitat Pompeu Fabra has a 12-months open position in the area of automatic text simplification in Spanish in the context of the research project Simplext.

We are looking for candidates with some experience in natural language processing (NLP) and willing to pursue a PhD in NLP. Candidates with interest and/or experience in automatic text summarization, text simplification, text-to-text generation, and development of NLP applications are particularly welcome.

We require:

- A degree in Computer Science or related field

- Experience in NLP, Machine Learning, or Artificial Intelligence

- Experience in Java programming and Web Service development

We offer:

- A 12-months research contract

- Dynamic and collaborative working environment

- A maximum gross salary of 15.530,76€ depending on experience

- The position is available from January 2011.

Universitat Pompeu Fabra (UPF) is recognised internationally for the quality of its research, it is also one of the top 5 Spanish universities in terms of scientific production and academia efficiency. The NLP group is situated in Campus de la Comunicación in the innovation district of Barcelona 22@.

If you are interested in working with us, please send the following documentation:

- Cover letter including your contact details

- A CV and list of publications

- The names and contact details of 2 people who can act as your references

Send the documentation by e-mail to Dr. Horacio Saggion, the subject of your e-mail should be “Simplext-TALN-Pre-Doc”. Deadline to send your application is 6th of December. If you have any informal query please contact Dr. Horacio Saggion.
Consult http://www.taln.upf.edu for contact details.

== Research Fellow, NLP and MT for Arabic ==
** Employer: University of Wolverhampton, UK
** Rank or Title: Research Fellow
** Specialty: Research and Development
** Location: Wolverhampton, UK
** Deadline: 30/11/2010
** Date Posted: 18/11/2010
** Contact email or link to website: lspecia@gmail.com

The Research Group in Computational Linguistics (http://clg.wlv.ac.uk/), University of Wolverhampton, invites applications for a research fellowship in the area of Arabic Natural Language Processing for a fixed-term contract: 12 months. The candidate will be expected to carry out research in the topic of evaluation of Arabic-English machine translation. He/she will contribute to the collection of data, proposal, design and evaluation of quality estimation approaches. He/she may also contribute to the implementation of the proposed approaches, which will be performed by an experienced programmer.

A successful applicant must:
- Have a good honours degree or equivalent in Computational Linguistics, Artificial Intelligence, Linguistics, Computer Science/Engineering, Mathematics, Statistics, or related areas.
- Be a native or fluent speaker of Arabic or have sufficient knowledge of the language proved by previous research related to the language.
- Have experience in Computational Linguistics / Natural Language Processing, particularly the area of Machine Translation evaluation. A PhD in the field is ideal, but masters level or work experience are also acceptable.
- Be eligible to work in the UK, as the job requires an immediate start. Part-time applications from candidates currently studying in the UK will also be considered.

The starting date is early December 2010.

The application deadline is November 30, 2010.

Applications should be sent by e-mail to:

Dr. Lucia Specia
lspecia@gmail.com

Applications must include:

1) A curriculum vitae indicating degrees obtained, course covered, publications, relevant work experience, and names of 3 referees that could be contacted if necessary.

2) A 1-page cover letter with statement of research experience, indicating why you are interested in this position and why you consider your experience is relevant.

3) A job application form that can be downloaded from: http://www2.wlv.ac.uk/pers/jobdetails/pers_jobapp_word_oct10.doc

The successful candidate will work with the Computational Linguistics group. Established by Prof. Ruslan Mitkov in 1998, the Research Group in Computational Linguistics is highly successful, delivering cutting-edge research in a number of NLP areas such as anaphora resolution, automatic summarisation, question answering, lexical knowledge acquisition, text categorisation, named entity recognition, information extraction, corpus construction and annotation, automatic terminology processing, multilingual processing, and multiple-choice question generation. To a large extent, this research has been undertaken in projects funded by major EU and UK funding bodies and commercial partners.

The results from the latest Research Assessment Exercise announced on 17 December 2008 confirm the Research Group in Computational Linguistics as one of the top performers in UK research. The research group was entered in Unit of Assessment "Linguistics" and Wolverhampton was ranked joint 3rd with 2 more universities. According to the league tables of the Guardian, The Times and Research Fortnight, research in Linguistics at the University of Wolverhampton is one of the top 6 best in the UK.

== Associate Research Scientist, Speech==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Associate Research Scientist, Speech
** Specialty: Research
** Location: Princeton, New Jersey, United States, 08540
** Deadline: 12/04/2010
** Date Posted: 11/04/2010
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field.

You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.

Our requirements include:

* Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles
* Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators
* Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics
* Evidence of substantive research experience and/or experience in developing and deploying speech capabilities
* Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system
* Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

== Senior Research Scientist, Natural Language Processing==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Senior Research Scientist, Natural Language Processing
** Specialty: Research
** Location: Princeton, New Jersey, United States, 08540
** Deadline: 12/04/2010
** Date Posted: 11/04/2010
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.

Job Requirements

Our qualifications include:

* A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science
* Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study
* A strong statistical and machine learning background
* Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems
* Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)
* The ability to lead the development of proposals for major research, development, or large-scale NLP projects, obtain financial support for new or continuing research activities and maintain appropriate contact with funding agencies for the development of new research programs and projects
* Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators
* Familiarity with the application of NLP tools to educational problems
* Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97875&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

== Research Scientist/NLP Developer==
*'''Employer''': stealth startup
*'''Rank or Title''': Research Scientist/NLP Developer
*'''Specialty''': NLP, Medical Informatics, Data Scientist
*'''Location''': Menlo Park, CA
*'''Deadline''': Open until filled. Applications reviewed immediately.
*'''Date Posted''': October 22, 2010
*'''Contact''': jchew@oneteamtech.com

As a Research Scientist, you will contribute to the development of algorithms and content for medical web applications and healthcare data processing tools. You will be part of the Informatics research team building intelligent software systems for integrating various types of healthcare data in a research and development environment.

Qualifications & Requirements

* PhD (preferred) or Master's degree in Computer Science, Computational Linguistics, Mathematics or related fields
* Experience with NLP, text processing, text mining, search algorithms, machine learning
* Experience with Medical terminology and data sources (preferred)
* Data mining and analysis of large data sets (preferred)
* Strong analytical and algorithm design abilities
* Experience in Java development
* Excellent communication skills
* Ability to work as a team with scientists, engineers and medical professionals
* Must be an independent self-starter

== Natural Language Processing Expert ==
* '''Employer''': RealHealthData
* '''Rank or Title''': Assistant Professor, Computer Scientist, NLP Expert.
* '''Specialty''': Natural Language Processing
* '''Location''': Santa Cruz, CA (Telecommuting OK)
* '''Deadline''': Open until filled, application review begins immediately.
* '''Date Posted''': October 20, 2010
* '''Contact''': paul.murphy@realhealthdata.com

Throughout 2009, a contract-based NLP expert produced an initial dataset derived from de-identified medical records, which are used to analyze trends and patterns in the medical research field.

During the de-identification and processing phase, metadata such as practice specialty and location was manually included as a reference alongside all documents. Another product that needs optimization in this project is an application that allows the input of additional medical records, in Microsoft Word format, to the main database using the same algorithm as the initial process.

The objective is to identify the weaknesses in the algorithm, which have led to a lower amount of extracted data than should be expected, considering the rich content of documents. Once the algorithm is optimized, it should be run on all documents in our current pool, generating a more complete and updated dataset. The project will conclude once we have a new full dataset, and a C# application fit for seamless input in the future.

Skills:
-3+ years of experience with command of at least one NLP tool, and/or experience with projects involving NLP and Text Mining or developing NLP solutions.
-Knowledge of analytics and data visualization
-Knowledge of spreadsheet-based analysis and reporting
-Experience with programming to implement NLP solutions (C#)
-Knowledge of key NLP techniques, including part-of-text tagging, syntactic parsing, information extraction, etc.

== Assistant Professor, Machine Learning ==
* '''Employer''': The Ohio State University
* '''Rank or Title''': Assistant Professor, Tenure Track
* '''Specialty''': Machine Learning
* '''Location''': Columbus, OH
* '''Deadline''': Open until filled, application review begins November 2010.
* '''Date Posted''': October 6, 2010
* '''Contact''': http://www.cse.ohio-state.edu/department/positions.shtml

The Computer Science & Engineering Department at Ohio State has multiple
assistant professor openings this year, one of which is targeted for
machine learning. Application review will begin in November. More
information can be found at the following site:

http://www.cse.ohio-state.edu/department/positions.shtml

== Scientist/Sr. Scientist, Text Mining Biologist ==
* '''Employer''': Pfizer
* '''Rank or Title''': Scientist/Sr. Scientist, Text Mining Biologist
* '''Specialty''': Text Mining
* '''Location''': South San Francisco, CA
* '''Deadline''': Open until filled
* '''Date Posted''': August 26, 2010
* '''Contact''': http://www.pfizer.com

At Pfizer BioTherapeutics Division, Applied Quantitative Genotherapeutics (AQG) group, we are dedicated to developing and implementing investigative approaches focused on evaluating potential drug candidates and identifying new targets in preclinical models of disease. We use the latest scientific knowledge and apply novel approaches to discover new ways of treating disease. We encourage cooperation and support a high level of scientific freedom to find the best answers to biological questions. Located in South San Francisco, AQG provides the feel of a small start-up company with the resources of a large pharmaceutical company in the heart of the biotech capital of the world.

Responsibilities:

As part of the Applied Quantitative Genotherapeutics group, you will be working with a multi-disciplinary team using both bench biology and computational skills. You will use your understanding of biology and text analytics to partner with, and support project teams and individuals in research, clinical or business units.

You will assist in the specification of tools and methods for accessing, mining, and analyzing biomedical text. You will partner with Pfizer colleagues, publishers, and commercial vendors to evaluate, implement, test, and integrate best-in-class text mining capabilities. You will assist in the creation of custom corpora that can be interrogated by, and integrated with the text mining capabilities described above. You will assist in the evaluation, curation and administration of taxonomies, thesauri, and ontologies in compliance. You will assist in quantifying the quality of text mining capabilities. You will assist with testing, training, and communications related to the text mining capabilities described above, and perform related duties and manage special projects, as needed. This position will be deployed in South San Francisco, but will interact seamlessly with a similar group in Cambridge MA.

Qualifications:

MS or PhD required in the biomedical sciences (or equivalent) and a minimum of 1-3 years experience working in a biotechnology or pharmaceutical organization. Applicants must have knowledge of text mining principles and practices, demonstrated experience in the application of ontologies, taxonomies, and thesauri for text mining purposes, and familiarity with commercial and public biomedical information sources and vendors. Awareness of current and emerging text mining tools and trends, as demonstrated by active participation in professional organizations and in professional development activities, is also desired. Must possess good verbal and written communication skills, as required for communications with colleagues, vendors and project teams. Must be independent and self-motivated, with a propensity to seek out challenges and capitalize on new opportunities.

Please submit resumes for Requisition #942862 to www.pfizer.com

== Research Scientist, Natural Language Processing ==
* '''Employer''': ETS (Educational Testing Service)
* '''Rank or Title''': Research Scientist, Natural Language Processing
* '''Specialty''': Research
* '''Location''': Princeton, New Jersey, United States, 08540
* '''Deadline''': Open until filled
* '''Date Posted''': July 21, 2010
* '''Contact''': [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3BB not for profit organization dedicated to advancing educational excellence and a leader in educational research. Our mission is to advance quality and equity in education as an innovator in developing achievement and occupational tests for clients in business, education and government. ETS Research & Development has an immediate opening for an Associate Research Scientist in the Center for Automated Scoring and Natural Language Processing. This position will be responsible for a mixture of operational and research efforts related to ETS' automated scoring technologies housed in the Automated Scoring and Natural Language Processing group. These technologies include automated essay scoring (e-rater), scoring short answers for correctness of content (c-rater), mathematical equations and plots (m-rater), and scoring the spontaneous speech of English Language Learners (SpeechRater). Responsibilities of the position include but are not limited to: <ul> <li>Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing and disseminating results of research projects in the field of natural language processing (NLP) or portions of large-scale research studies or programs in the same field.</li> <li>Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP analysis and evaluation systems which are used to improve assessments, learning tools and test development practices.</li> <li>Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.</li> <li>Develop and oversee the conduct of selected portions of research proposals and project budgets.</li> <li>Design and conduct complex scientific studies functioning as an expert in major facets of the projects.</li> <li>Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.</li> <li>Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.</li> <li>Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.</li> </ul>

Requirements: <ul> <li>Ph.D. in Natural Language Processing, Computational Linguistics or Computer Science with an emphasis on issues in syntactic and/or semantic analysis of text is desired.</li> <li>Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms and tools would be an asset.</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems required.</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python) is also required.</li> </ul> We offer a competitive salary, a stimulating work environment, attractive growth potential and excellent benefits including medical/dental, flexible spending, 403(b) with company match and more. Please apply directly online to the ETS Careers page at:ETS is an Equal Opportunity, Affirmative Action Employer. [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=91476&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail] [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]

== Programmer Analyst, Linguistic Data Consortium, Philadelphia, PA, USA ==
* '''Employer''': Linguistic Data Consortium, the University of Pennsylvania, USA
* '''Rank or Title''': Programmer Analyst (#100328205)
* '''Specialty''': Corpus Creation, Annotation Tool Development
* '''Location''': Philadelphia, PA, USA
* '''Deadline''': Open until filled
* '''Date Posted''': June 24, 2010
* '''Contact''': Please visit [http://jobs.hr.upenn.edu/applicants/Central?quickFind=191248 application URL]

This position will support LDC's language resource creation projects by providing programming, research and other technical support in a rapid prototyping environment, for multiple concurrent projects with evolving technical requirements. In collaboration with technical managers, non-technical project staff and external researchers, this candidate will assess technical requirements for projects, develop plans for satisfying those needs, and implement technical specifications within stringent deadlines and budget constraints.

For further information or to apply online, visit the application URL above.

This position is contingent upon funding.

Penn offers an excellent benefits package including medical/dental, retirement plans, tuition assistance and a minimum of 3 weeks paid vacation per year.

The University of Pennsylvania does not discriminate on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status or any other legally protected class status in the administration of its admissions, financial aid, educational or athletic programs, or other University-administered programs or in its employment practices. Questions or complaints regarding this policy should be directed to the Executive Director of the Office of Affirmative Action and Equal Opportunity Programs, Sansom Place East, 3600 Chestnut Street, Suite 228, Philadelphia, PA 19104-6106; or (215) 898-6993 (Voice) or (215) 898-7803 (TDD).

== Computational Linguist contracts (Several languages) ==
* '''Employer''': The Lingua Team, LLC
* '''Rank or Title''': Computational linguist
* '''Specialty''': Grammar and syntax in foreign languages
* '''Location''': Redmond, WA, USA
* '''Deadline''': July 30, 2010
* '''Date Posted''': June 15, 2010
* '''Contact''': The Lingua Team website[http://www.thelinguateam.com], or email [mailto:info@thelinguateam.com]

Description: The Lingua team provides linguistic services to IT companies worldwide.

We are looking for computational linguists to describe properties relevant to grammar checking for several language groups: Semitic,
Romance, Slavic, Germanic, and Agglutinative. The actual list of languages includes: Arabic, Brazilian Portuguese, Bulgarian, Czech,
Danish, Dutch, European Portuguese, Finnish, Hebrew, Hungarian, Italian, Norwegian Bokmal, Polish, Romansh, Russian, Swedish, and
Turkish.

These positions require native or near native knowledge of the above languages to describe properties relevant to grammar checking for one or more of these languages.

Required: Degreed
linguist with graduate-level studies with proven experience managing or performing computational linguistic work (syntax, morphology,
lexicography) in several languages. Self-starter, ability to work independently, excellent written communication skills. Work permit
for the USA.

Preferred: Experience writing rules in a formal system, ideally for style or grammar checking applications. Additional
Information: Contract full-time for three months, to be extended for a year depending on ability to meet the job demands. Though the location of this project is Redmond, WA (USA) working from your location after the initial training might be a possibility.

== Government internships (unpaid) in text classification and search ==
* '''Employer''': U.S. Patents and Trademarks Office
* '''Rank or Title''': Student Volunteer
* '''Specialty''': Computer and Information Science
* '''Location''': Alexandria, VA, USA
* '''Deadline''': October 08, 2010
* '''Date Posted''': March 29, 2010
* '''Contact''': [http://is.gd/b616r Listing at USAJOBS.gov]

Description:
The USPTO is responsible for granting U.S. Intellectual Property
Rights for Patents and Trademarks and has been serving the economic
interests of America for more than 200 years. The Office is a heavy
user of text analysis and search tools for both text and images, and
is in the midst of an entire redesign of its Information Technology
system. This internship is an opportunity to make a difference to the
entire U.S. economy by applying your skills in user interface design
and evaluation, text classification algorithm design and evaluation,
and search interface and algorithm design and evaluation. For more
information about the USPTO, please visit our website at
http://www.uspto.gov.

The Office of the Chief Information Technology (IT) Strategist is
looking for enthusiastic individuals to design new and evaluate
existing interfaces and algorithms for text and image search, and for
text and image classification and comparison. Tasks will include some
combination of designing, programming, usability testing, and report
writing, with an option to write publishable research papers.
Projects include designing and testing algorithms and interfaces for
collaborative search, for integrated faceted classification into
search tools, for automating assignment of faceted classifications to
patent documents as well as to non-patent prior art, for allowing the
public as well as PTO employees to comment on and annotate documents,
and to compare the contents of structured text documents visually and
algorithmically. Students with skills in designing tools for online
social interaction are also encouraged to apply.

Requirements:

- US CITIZENSHIP IS REQUIRED. SOCIAL SECURITY NUMBER IS REQUIRED.

- Applicants MUST be ENROLLED in A GRADUATE PROGRAM/SUBMIT TRANSCRIPT.

- Applicants MUST submit ONE to THREE LETTERS OF RECOMMENDATION.

See link above for more details.

== Biomedical Text mining Position available, CNIO - Madrid, Spain ==

* '''Employer''': Spanish National Cancer Research Center (CNIO)
* '''Rank or Title''': Project associate research position
* '''Specialty''': Biomedical Text mining
* '''Location''': Madrid, Spain
* '''Deadline''': March 01, 2010
* '''Date Posted''': Feb 01, 2010
* '''Contact''': Martin Krallinger - mkrallinger@cnio.es

Description:
The candidate will work within a multidisciplinary team involved in the development and application of biomedical text mining and natural language processing approaches.

The overall aim of this work is to develop and apply text mining and natural language processing technologies to biomedical literature, covering aspects related to automatic text classification using machine learning methods, the detection of entities of biological interest from text and the extraction and ranking of biological relations from the biomedical literature. A special focus will be given to certain topics such as cancer related literature and protein interactions.

Expected outcomes will include fundamental research in biomedical text mining, publications in high-impact journals and development of biomedical text mining applications and services. The resulting strategies will be applied to process article abstracts, full text articles as well as clinical records.

Requirements:
Applicants should possess an MSc (preferably a PhD) in biology, computer science or related areas with specific knowledge in Computer Science, Bioinformatics, Computational Linguistics, Statistics or Machine Learning or Text Mining.

1) Candidates should have the following qualifications:
- Competitive software engineering skills (demonstrable knowledge of at least two programming languages such as python, C/C++, Java, Perl and the development of online web applications).
- A solid background and interest in statistical and machine learning methods
- Ability to develop algorithms and software for natural language processing/text mining systems
- Good English communication skills
- A strong interest in collaborating with experts from the biomedical, molecular biology and bioinformatics domains and text mining.

2) Other desirable skills and selection criteria include:
- Exposure to biomedical texts/domain.
- Familiarity with development of Web Services
- Well organized and have the ability to work in an interdisciplinary team.
- The publication record would be an advantage.
- Familiarity with NLP tasks such as named entity recognition, summarization, information extraction, and information retrieval will
be also highly desirable.
- Familiarity with some of the existing software that might be relevant to the research topic (like Weka, LibSVM, Lucene, GATE, NLTK, or Mallet).
- Interest in the evaluation of systems performance and community challenges.

Organization:
The Spanish National Cancer Centre (CNIO, Madrid, Spain - http://www.cnio.es/ing/index.asp) is one of the few European Cancer Centers to allocate resources to both basic and applied research in an integrated fashion, thus supporting the interaction of basic research programmes with those of molecular diagnostics and drug discovery. All CNIO programmes benefit from excellent equipment, technology, and technical services. The CNIO employs about 500 scientists, it offers excellent work conditions including competitive salary, and world-class computing infrastructure.
The Structural and Computational Biology Programme at CNIO, leaded by Dr. Alfonso Valencia integrates several research groups, including the Computational Biology group, a Bioinformatics support unit and the central node of the Spanish Bioinformatics Institute, a Genome Spain platform. The computational facilities and infrastructure cover all the needs of the research in modern text mining and NLP, computational biology and provides excellent grounds for the analysis of high-throughput genomic data.
The research group contributed significantly to the biomedical text mining research over the past years, from initial work related to the analysis of protein families, microarray data and protein interactions to the development of popular online applications such as the iHOP server or PLAN2L. Recent research efforts also promoted the organization of the BioCreative text-mining challenges, the development of the BioCreative metaserver and the BioCreative II.5 competition. The research group has a well-established international network of collaborations with other text mining groups, bioinformatics and biological database teams and experimental biomedical researches.

Salary:
Between 25,000 and 30,000 Euro / year depending qualifications. Contract for 2-3 years.

Application:
Requests for additional information or formal applications (including Application letters, extensive CV and PhD/MA thesis and the names of at least two references) can be sent to Martin Krallinger: mkrallinger@cnio.es

== Full Professor, Theoretical Computational Linguistics, Potsdam, Germany ==

* '''Employer''': Potsdam
* '''Rank or Title''': Full Professor (W3)
* '''Specialty''': Theoretical Computational Linguistics
* '''Location''': Potsdam, Germany
* '''Deadline''': Feb 20, 2010
* '''Date Posted''': Jan 21, 2010
* '''Contact''': [http://www.ling.uni-potsdam.de] vasishth@uni-potsdam.de

Professorship (W3) in Theoretical Computational Linguistics, University of Potsdam

The University of Potsdam invites applications for the post of full professor in Theoretical Computational Linguistics. Theoretical Computational Linguistics at Potsdam plays an important role in connecting theoretical linguistics, clinical and psycholinguistics and computational linguistics. The ideal candidate will have expertise in one or more of these areas:

* Grammar formalisms and (probabilistic) parsing of natural language
* machine learning techniques for language processing
* computational semantics

Knowledge of symbolic and/or statistical methods and corpus-based methods is presupposed. The research profile of the candidate should fit into the interdisciplinary nature of the Excellence Center for Cognitive Sciences at Potsdam [http://www.uni-potsdam.de/humfak/hum-exzellenzbereich.html]. Participation is expected in the Collaborative Research Project (Sonderforschungsbereich 632), Information Structure: the linguistic means for structuring utterances, sentences and texts [http://www.sfb632.uni-potsdam.de/main.html], and in other projects related to cognitive science. Experience in obtaining third-party funding and an international presence is desirable.

The University of Potsdam is an Equal Opportunity employer and is actively engaged in increasing the proportion of women in research and teaching; qualified women are therefore encouraged to apply. All other things being equal, handicapped candidates will be given preference.

Questions regarding the job opening should be directed to Shravan Vasishth (vasishth@uni-potsdam.de).

Applications should be received by February 20 2010, and should be sent to:
The President, University of Potsdam, Am Neues Palais 10, 14469 Potsdam, Germany

Employment opportunities, postdoctoral positions, summer jobs

2011-01-07T19:46:54Z

ETSOC:

== Associate Research Engineer, Natural Language Processing ==
** Employer: ETS (Educational Testing Service)
** Speciality: Research
** Location: Princeton, New Jersey 08540
** Date Posted: 01/07/2011
** Link to website: http://www.Click2Apply.net/xymwg8p

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve. In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development. Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.<img src="https://rs.careerliaison.com/pixel/xymwg8p"/>In addition to exceptional verbal/written communication skills, our qualifications include: <ul> <li>Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field</li> <li>A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential</li> <li>Coursework in statistics and experience in using machine learning toolkits are highly desirable</li> <li>Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies</li> <li>Knowledge of UNIX and Windows computing environments</li> <li>Familiarity with UNIX tools and scripting languages and algorithms, methods and data structures in common use in the processing of speech and language data</li> </ul> We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend] EOE[http://www.Click2Apply.net/xymwg8p Apply Here]

** ETS (Educational Testing Service)
** Associate Research Scientist, Speech
** Research
** Princeton, New Jersey, United States, 08540
** 02/06/2011
** 01/07/2011
** http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve. In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field. You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.Our requirements include: <ul> <li>Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles</li> <li>Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators </li> <li>Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics </li> <li>Evidence of substantive research experience and/or experience in developing and deploying speech capabilities</li> <li>Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system</li> <li>Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting</li> </ul> We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend] EOE[http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049 Apply Here]

== French Canadian computational linguist==
** Employer: The Lingua Team
** Rank: Language support contractor
** Speciality: Speech recognition
** Location: Seattle, WA (work can be done remotely)
** Deadline: 01/04/2011 (apologies for the tight deadline)
** Date Posted: 12/28/2010
** Contact email: info at thelinguateam.com
The Lingua Team, a Seattle area based company, dedicated to linguistic services is looking for a French Canadian computational linguist to create speech recognition grammars in xml format. Knowledge of French Canadian is a must. Please, email your resume for consideration. A first set of tasks needs to be completed in the first week of January.

== NSF Post Doctoral Fellowship at Localot Research, Cambridge, MA==
** Employer: Localot Research
** Rank: Post Doctoral Fellow
** Speciality: NLP/ML research and development for Information Extraction
** Location: Cambridge, MA
** Deadline: 01/01/2011 (sorry for the late notice)
** Date Posted: 12/22/2010
** Contact email or link to website: http://www.localot.com (pauln@localot.com, work@localot.com)

A NSF postdoc position is available at Localot Research under the NSF SBIR fellowship program. Localot Research develops and applies machine learning and natural language processing techniques to meet both high-precision and high-recall information needs. Staffed with 6 research scientists, and supported by software engineers, Localot Research offers opportunities for applied research on a variety of projects, ranging from active learning for semi-supervised relation extraction to latent variable and multi-task modeling for robust adaptive information extraction and ranking systems.

The successful candidate will be a highly qualified postdoctoral fellow with a strong background in machine learning and natural language processing and a good research publication record in these areas. The candidate must have strong hands-on Java development skills and be able to perform research with close interaction with a small group of researcher scientists at Localot Research. Experience in processing very large noisy data sets is highly desirable as well as ability to clarify research goals consistently with business targets.

The position is initially for one year, ideally starting from January 2011, with potential
extension. The position will have an annual income of $75,000. In addition, the fellowship will provide the successful candidate with health insurance. The applicant must be a U.S. citizen, U.S. National or a permanent resident.

Please contact pauln@localot.com or work@localot.com as soon as possible for timely application.

==Post Doctoral Fellow, Natural Language Processing and Multilingual Semantic Annotation, Grenoble, France==
** Employer: Laboratoire d'Informatique de Grenoble, GETALP team, CNRS
** Rank or Title: Post Doctoral Fellow, Natural Language Processing and Multilingual Semantic Annotation and Classification
** Specialty: Research
** Location: Grenoble, France
** Deadline: 01/31/2011
** Date Posted: 12/07/2010
** Contact email or link to website: http://www.liglab.fr/IMG/protege/form9/PDoc-Videosense-getalp.pdf

The Study Group for Machine Translation and Automated Processing of Languages and Speech (GETALP)
at the LIG Lab (Laboratoire d’Informatique de Grenoble) located at Grenoble, France, has an immediate
opening for a Postdoctoral Fellow in the area of Natural Language Processing and Multilingual Semantic
Annotation and Classification. The Fellowship is for one year, beginning at the earliest convenience in 2011.

The candidate will be working in the framework of the VideoSense project sponsored by the ANR
(Agence Nationale de la Recherche) research funding agency. The VideoSense project aims at automatic video
tagging by high level concepts, including static concepts (e.g. object, scene, people, etc.), events, and emotions,
while targeting two applications, namely video recommendation and ads monetization, on the Ghanni’s media
assess management platform. The innovations targeted by the project include video content description by lowlevel
features, emotional video content recognition, cross-concept detection, multimodal fusion, and the use of a
pivot language for dealing with multilingual textual resources associated with video data. This post doctoral
position focusses on the processing of multilingual textual data.

The candidate will develop and integrate several components which will:
* gather large scale multilingual lexical resources in the concerned languages (English, French, German),
* train sets of conceptual vectors associated to word senses in the multilingual lexical resources,
* project each conceptual vector in a pivot vector space,
* provide a semantic analysis of the textual metadata associated to the video data.

All developments will be made in java.

'''Minimum Requirements'''

* PhD degree in Computer Science, Computational Linguistics, Natural Language Processing, or related fields defended less than 2 years before hiring date.
* Strong programming skills (java, perl, C++).
* Full spoken and written proficiency of French or English.

'''Preferred/Recommended Requirements'''

* Basic knowledge in Semantic Analysis of texts, Multilingual Language Resources,
* Ability to work in a research team
* Knowledge of French and/or German

'''Contact'''

Applicants should send a full CV in French or English, including a list of publications, a description of
previous research experience, names and contact of 2 referees, to Gilles Sérasset (Gilles.Serasset[ at ]imag.fr) as
soon as possible.

For more information, contact Gilles Sérasset at Gilles.Serasset[ at ]imag.fr.

==Associate Research Engineer, Natural Language Processing==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Associate Research Engineer, Natural Language Processing
** Specialty: Research
** Location: Princeton, New Jersey
** Deadline: 12/31/2010
** Date Posted: 12/01/2010
** Contact email or link to website: http://www.Click2Apply.net/rnnrpxe

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development.

Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.
Job Requirements

In addition to exceptional verbal/written communication skills, our qualifications include:

* Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field
* A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential
* Coursework in statistics and experience in using machine learning toolkits are highly desirable
* Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies
* Knowledge of UNIX and Windows computing environments
* Familiarity with UNIX tools and scripting languages and algorithms, methods and data structures in common use in the processing of speech and language data

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend

EOE

Apply Here: http://www.Click2Apply.net/rnnrpxe

==Post-doc in Natural Language Processing (Barcelona, Spain)==
** Employer: Universitat Pompeu Fabra, Barcelona, Spain
** Rank or Title: Postdoctoral Researcher
** Specialty: Research and Development
** Location: Barcelona, Spain
** Deadline: 6/12/2010
** Date Posted: 19/11/2010
** Contact email or link to website: http://www.taln.upf.edu/

The Natural Language Processing Research group (TALN) at the Department of Communication and Information Technologies, Universitat Pompeu Fabra has a 2-years open position in the area of automatic text simplification in Spanish in the context of the research project Simplext.

We are looking for candidates with experience in natural language processing (NLP) and in particular with knowledge and experience in empirical methods (machine learning for NLP). Candidates with interest and/or experience in automatic text summarization, text simplification, text-to-text generation, and development of NLP applications are particularly welcome.

We require:

- PhD with specialization in Natural Language Processing;

- Experience in developing NLP applications and Web services;

- Experience with NLP platforms and tools for the automatic analysis of Spanish language;

- Knowledge and use of the Java language;

- Proficiency in English

We offer:

- A 2-years research contract with a maximum gross salary of 28.842,72€ depending on experience

- Work in a research project with relevance to society

- Work for a dynamic and collaborative research team

- The position is available immediately

Universitat Pompeu Fabra (UPF) is recognised internationally for the quality of its research, it is also one of the top 5 Spanish universities in terms of scientific production and academia efficiency. The NLP group is situated in Campus de la Comunicación in the innovation district of Barcelona 22@.

If you are interested in working with us, please send the following documentation:

- Cover letter including your contact details

- A CV and list of publications

- The names and contact details of 3 people who can act as your references

Send the documentation by e-mail to Dr. Horacio Saggion, the subject of your e-mail should be “Simplext-TALN-Pos-Doc”. Deadline to send your application is 6th of December. If you have any informal query please contact Dr. Horacio Saggion.
Consult http://www.taln.upf.edu for contact details.

==Pre-doc in Natural Language Processing (Barcelona, Spain)==
** Employer: Universitat Pompeu Fabra, Barcelona, Spain
** Rank or Title: Predoctoral Researcher
** Specialty: Research and Development
** Location: Barcelona, Spain
** Deadline: 6/12/2010
** Date Posted: 19/11/2010
** Contact email or link to website: http://www.taln.upf.edu/

The Natural Language Processing Research group (TALN) at the Department of Communication and Information Technologies, Universitat Pompeu Fabra has a 12-months open position in the area of automatic text simplification in Spanish in the context of the research project Simplext.

We are looking for candidates with some experience in natural language processing (NLP) and willing to pursue a PhD in NLP. Candidates with interest and/or experience in automatic text summarization, text simplification, text-to-text generation, and development of NLP applications are particularly welcome.

We require:

- A degree in Computer Science or related field

- Experience in NLP, Machine Learning, or Artificial Intelligence

- Experience in Java programming and Web Service development

We offer:

- A 12-months research contract

- Dynamic and collaborative working environment

- A maximum gross salary of 15.530,76€ depending on experience

- The position is available from January 2011.

Universitat Pompeu Fabra (UPF) is recognised internationally for the quality of its research, it is also one of the top 5 Spanish universities in terms of scientific production and academia efficiency. The NLP group is situated in Campus de la Comunicación in the innovation district of Barcelona 22@.

If you are interested in working with us, please send the following documentation:

- Cover letter including your contact details

- A CV and list of publications

- The names and contact details of 2 people who can act as your references

Send the documentation by e-mail to Dr. Horacio Saggion, the subject of your e-mail should be “Simplext-TALN-Pre-Doc”. Deadline to send your application is 6th of December. If you have any informal query please contact Dr. Horacio Saggion.
Consult http://www.taln.upf.edu for contact details.

== Research Fellow, NLP and MT for Arabic ==
** Employer: University of Wolverhampton, UK
** Rank or Title: Research Fellow
** Specialty: Research and Development
** Location: Wolverhampton, UK
** Deadline: 30/11/2010
** Date Posted: 18/11/2010
** Contact email or link to website: lspecia@gmail.com

The Research Group in Computational Linguistics (http://clg.wlv.ac.uk/), University of Wolverhampton, invites applications for a research fellowship in the area of Arabic Natural Language Processing for a fixed-term contract: 12 months. The candidate will be expected to carry out research in the topic of evaluation of Arabic-English machine translation. He/she will contribute to the collection of data, proposal, design and evaluation of quality estimation approaches. He/she may also contribute to the implementation of the proposed approaches, which will be performed by an experienced programmer.

A successful applicant must:
- Have a good honours degree or equivalent in Computational Linguistics, Artificial Intelligence, Linguistics, Computer Science/Engineering, Mathematics, Statistics, or related areas.
- Be a native or fluent speaker of Arabic or have sufficient knowledge of the language proved by previous research related to the language.
- Have experience in Computational Linguistics / Natural Language Processing, particularly the area of Machine Translation evaluation. A PhD in the field is ideal, but masters level or work experience are also acceptable.
- Be eligible to work in the UK, as the job requires an immediate start. Part-time applications from candidates currently studying in the UK will also be considered.

The starting date is early December 2010.

The application deadline is November 30, 2010.

Applications should be sent by e-mail to:

Dr. Lucia Specia
lspecia@gmail.com

Applications must include:

1) A curriculum vitae indicating degrees obtained, course covered, publications, relevant work experience, and names of 3 referees that could be contacted if necessary.

2) A 1-page cover letter with statement of research experience, indicating why you are interested in this position and why you consider your experience is relevant.

3) A job application form that can be downloaded from: http://www2.wlv.ac.uk/pers/jobdetails/pers_jobapp_word_oct10.doc

The successful candidate will work with the Computational Linguistics group. Established by Prof. Ruslan Mitkov in 1998, the Research Group in Computational Linguistics is highly successful, delivering cutting-edge research in a number of NLP areas such as anaphora resolution, automatic summarisation, question answering, lexical knowledge acquisition, text categorisation, named entity recognition, information extraction, corpus construction and annotation, automatic terminology processing, multilingual processing, and multiple-choice question generation. To a large extent, this research has been undertaken in projects funded by major EU and UK funding bodies and commercial partners.

The results from the latest Research Assessment Exercise announced on 17 December 2008 confirm the Research Group in Computational Linguistics as one of the top performers in UK research. The research group was entered in Unit of Assessment "Linguistics" and Wolverhampton was ranked joint 3rd with 2 more universities. According to the league tables of the Guardian, The Times and Research Fortnight, research in Linguistics at the University of Wolverhampton is one of the top 6 best in the UK.

== Associate Research Scientist, Speech==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Associate Research Scientist, Speech
** Specialty: Research
** Location: Princeton, New Jersey, United States, 08540
** Deadline: 12/04/2010
** Date Posted: 11/04/2010
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field.

You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.

Our requirements include:

* Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles
* Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators
* Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics
* Evidence of substantive research experience and/or experience in developing and deploying speech capabilities
* Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system
* Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

== Senior Research Scientist, Natural Language Processing==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Senior Research Scientist, Natural Language Processing
** Specialty: Research
** Location: Princeton, New Jersey, United States, 08540
** Deadline: 12/04/2010
** Date Posted: 11/04/2010
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.

Job Requirements

Our qualifications include:

* A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science
* Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study
* A strong statistical and machine learning background
* Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems
* Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)
* The ability to lead the development of proposals for major research, development, or large-scale NLP projects, obtain financial support for new or continuing research activities and maintain appropriate contact with funding agencies for the development of new research programs and projects
* Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators
* Familiarity with the application of NLP tools to educational problems
* Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97875&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

== Research Scientist/NLP Developer==
*'''Employer''': stealth startup
*'''Rank or Title''': Research Scientist/NLP Developer
*'''Specialty''': NLP, Medical Informatics, Data Scientist
*'''Location''': Menlo Park, CA
*'''Deadline''': Open until filled. Applications reviewed immediately.
*'''Date Posted''': October 22, 2010
*'''Contact''': jchew@oneteamtech.com

As a Research Scientist, you will contribute to the development of algorithms and content for medical web applications and healthcare data processing tools. You will be part of the Informatics research team building intelligent software systems for integrating various types of healthcare data in a research and development environment.

Qualifications & Requirements

* PhD (preferred) or Master's degree in Computer Science, Computational Linguistics, Mathematics or related fields
* Experience with NLP, text processing, text mining, search algorithms, machine learning
* Experience with Medical terminology and data sources (preferred)
* Data mining and analysis of large data sets (preferred)
* Strong analytical and algorithm design abilities
* Experience in Java development
* Excellent communication skills
* Ability to work as a team with scientists, engineers and medical professionals
* Must be an independent self-starter

== Natural Language Processing Expert ==
* '''Employer''': RealHealthData
* '''Rank or Title''': Assistant Professor, Computer Scientist, NLP Expert.
* '''Specialty''': Natural Language Processing
* '''Location''': Santa Cruz, CA (Telecommuting OK)
* '''Deadline''': Open until filled, application review begins immediately.
* '''Date Posted''': October 20, 2010
* '''Contact''': paul.murphy@realhealthdata.com

Throughout 2009, a contract-based NLP expert produced an initial dataset derived from de-identified medical records, which are used to analyze trends and patterns in the medical research field.

During the de-identification and processing phase, metadata such as practice specialty and location was manually included as a reference alongside all documents. Another product that needs optimization in this project is an application that allows the input of additional medical records, in Microsoft Word format, to the main database using the same algorithm as the initial process.

The objective is to identify the weaknesses in the algorithm, which have led to a lower amount of extracted data than should be expected, considering the rich content of documents. Once the algorithm is optimized, it should be run on all documents in our current pool, generating a more complete and updated dataset. The project will conclude once we have a new full dataset, and a C# application fit for seamless input in the future.

Skills:
-3+ years of experience with command of at least one NLP tool, and/or experience with projects involving NLP and Text Mining or developing NLP solutions.
-Knowledge of analytics and data visualization
-Knowledge of spreadsheet-based analysis and reporting
-Experience with programming to implement NLP solutions (C#)
-Knowledge of key NLP techniques, including part-of-text tagging, syntactic parsing, information extraction, etc.

== Assistant Professor, Machine Learning ==
* '''Employer''': The Ohio State University
* '''Rank or Title''': Assistant Professor, Tenure Track
* '''Specialty''': Machine Learning
* '''Location''': Columbus, OH
* '''Deadline''': Open until filled, application review begins November 2010.
* '''Date Posted''': October 6, 2010
* '''Contact''': http://www.cse.ohio-state.edu/department/positions.shtml

The Computer Science & Engineering Department at Ohio State has multiple
assistant professor openings this year, one of which is targeted for
machine learning. Application review will begin in November. More
information can be found at the following site:

http://www.cse.ohio-state.edu/department/positions.shtml

== Scientist/Sr. Scientist, Text Mining Biologist ==
* '''Employer''': Pfizer
* '''Rank or Title''': Scientist/Sr. Scientist, Text Mining Biologist
* '''Specialty''': Text Mining
* '''Location''': South San Francisco, CA
* '''Deadline''': Open until filled
* '''Date Posted''': August 26, 2010
* '''Contact''': http://www.pfizer.com

At Pfizer BioTherapeutics Division, Applied Quantitative Genotherapeutics (AQG) group, we are dedicated to developing and implementing investigative approaches focused on evaluating potential drug candidates and identifying new targets in preclinical models of disease. We use the latest scientific knowledge and apply novel approaches to discover new ways of treating disease. We encourage cooperation and support a high level of scientific freedom to find the best answers to biological questions. Located in South San Francisco, AQG provides the feel of a small start-up company with the resources of a large pharmaceutical company in the heart of the biotech capital of the world.

Responsibilities:

As part of the Applied Quantitative Genotherapeutics group, you will be working with a multi-disciplinary team using both bench biology and computational skills. You will use your understanding of biology and text analytics to partner with, and support project teams and individuals in research, clinical or business units.

You will assist in the specification of tools and methods for accessing, mining, and analyzing biomedical text. You will partner with Pfizer colleagues, publishers, and commercial vendors to evaluate, implement, test, and integrate best-in-class text mining capabilities. You will assist in the creation of custom corpora that can be interrogated by, and integrated with the text mining capabilities described above. You will assist in the evaluation, curation and administration of taxonomies, thesauri, and ontologies in compliance. You will assist in quantifying the quality of text mining capabilities. You will assist with testing, training, and communications related to the text mining capabilities described above, and perform related duties and manage special projects, as needed. This position will be deployed in South San Francisco, but will interact seamlessly with a similar group in Cambridge MA.

Qualifications:

MS or PhD required in the biomedical sciences (or equivalent) and a minimum of 1-3 years experience working in a biotechnology or pharmaceutical organization. Applicants must have knowledge of text mining principles and practices, demonstrated experience in the application of ontologies, taxonomies, and thesauri for text mining purposes, and familiarity with commercial and public biomedical information sources and vendors. Awareness of current and emerging text mining tools and trends, as demonstrated by active participation in professional organizations and in professional development activities, is also desired. Must possess good verbal and written communication skills, as required for communications with colleagues, vendors and project teams. Must be independent and self-motivated, with a propensity to seek out challenges and capitalize on new opportunities.

Please submit resumes for Requisition #942862 to www.pfizer.com

== Research Scientist, Natural Language Processing ==
* '''Employer''': ETS (Educational Testing Service)
* '''Rank or Title''': Research Scientist, Natural Language Processing
* '''Specialty''': Research
* '''Location''': Princeton, New Jersey, United States, 08540
* '''Deadline''': Open until filled
* '''Date Posted''': July 21, 2010
* '''Contact''': [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3BB not for profit organization dedicated to advancing educational excellence and a leader in educational research. Our mission is to advance quality and equity in education as an innovator in developing achievement and occupational tests for clients in business, education and government. ETS Research & Development has an immediate opening for an Associate Research Scientist in the Center for Automated Scoring and Natural Language Processing. This position will be responsible for a mixture of operational and research efforts related to ETS' automated scoring technologies housed in the Automated Scoring and Natural Language Processing group. These technologies include automated essay scoring (e-rater), scoring short answers for correctness of content (c-rater), mathematical equations and plots (m-rater), and scoring the spontaneous speech of English Language Learners (SpeechRater). Responsibilities of the position include but are not limited to: <ul> <li>Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing and disseminating results of research projects in the field of natural language processing (NLP) or portions of large-scale research studies or programs in the same field.</li> <li>Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP analysis and evaluation systems which are used to improve assessments, learning tools and test development practices.</li> <li>Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.</li> <li>Develop and oversee the conduct of selected portions of research proposals and project budgets.</li> <li>Design and conduct complex scientific studies functioning as an expert in major facets of the projects.</li> <li>Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.</li> <li>Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.</li> <li>Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.</li> </ul>

Requirements: <ul> <li>Ph.D. in Natural Language Processing, Computational Linguistics or Computer Science with an emphasis on issues in syntactic and/or semantic analysis of text is desired.</li> <li>Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms and tools would be an asset.</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems required.</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python) is also required.</li> </ul> We offer a competitive salary, a stimulating work environment, attractive growth potential and excellent benefits including medical/dental, flexible spending, 403(b) with company match and more. Please apply directly online to the ETS Careers page at:ETS is an Equal Opportunity, Affirmative Action Employer. [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=91476&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail] [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]

== Programmer Analyst, Linguistic Data Consortium, Philadelphia, PA, USA ==
* '''Employer''': Linguistic Data Consortium, the University of Pennsylvania, USA
* '''Rank or Title''': Programmer Analyst (#100328205)
* '''Specialty''': Corpus Creation, Annotation Tool Development
* '''Location''': Philadelphia, PA, USA
* '''Deadline''': Open until filled
* '''Date Posted''': June 24, 2010
* '''Contact''': Please visit [http://jobs.hr.upenn.edu/applicants/Central?quickFind=191248 application URL]

This position will support LDC's language resource creation projects by providing programming, research and other technical support in a rapid prototyping environment, for multiple concurrent projects with evolving technical requirements. In collaboration with technical managers, non-technical project staff and external researchers, this candidate will assess technical requirements for projects, develop plans for satisfying those needs, and implement technical specifications within stringent deadlines and budget constraints.

For further information or to apply online, visit the application URL above.

This position is contingent upon funding.

Penn offers an excellent benefits package including medical/dental, retirement plans, tuition assistance and a minimum of 3 weeks paid vacation per year.

The University of Pennsylvania does not discriminate on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status or any other legally protected class status in the administration of its admissions, financial aid, educational or athletic programs, or other University-administered programs or in its employment practices. Questions or complaints regarding this policy should be directed to the Executive Director of the Office of Affirmative Action and Equal Opportunity Programs, Sansom Place East, 3600 Chestnut Street, Suite 228, Philadelphia, PA 19104-6106; or (215) 898-6993 (Voice) or (215) 898-7803 (TDD).

== Computational Linguist contracts (Several languages) ==
* '''Employer''': The Lingua Team, LLC
* '''Rank or Title''': Computational linguist
* '''Specialty''': Grammar and syntax in foreign languages
* '''Location''': Redmond, WA, USA
* '''Deadline''': July 30, 2010
* '''Date Posted''': June 15, 2010
* '''Contact''': The Lingua Team website[http://www.thelinguateam.com], or email [mailto:info@thelinguateam.com]

Description: The Lingua team provides linguistic services to IT companies worldwide.

We are looking for computational linguists to describe properties relevant to grammar checking for several language groups: Semitic,
Romance, Slavic, Germanic, and Agglutinative. The actual list of languages includes: Arabic, Brazilian Portuguese, Bulgarian, Czech,
Danish, Dutch, European Portuguese, Finnish, Hebrew, Hungarian, Italian, Norwegian Bokmal, Polish, Romansh, Russian, Swedish, and
Turkish.

These positions require native or near native knowledge of the above languages to describe properties relevant to grammar checking for one or more of these languages.

Required: Degreed
linguist with graduate-level studies with proven experience managing or performing computational linguistic work (syntax, morphology,
lexicography) in several languages. Self-starter, ability to work independently, excellent written communication skills. Work permit
for the USA.

Preferred: Experience writing rules in a formal system, ideally for style or grammar checking applications. Additional
Information: Contract full-time for three months, to be extended for a year depending on ability to meet the job demands. Though the location of this project is Redmond, WA (USA) working from your location after the initial training might be a possibility.

== Government internships (unpaid) in text classification and search ==
* '''Employer''': U.S. Patents and Trademarks Office
* '''Rank or Title''': Student Volunteer
* '''Specialty''': Computer and Information Science
* '''Location''': Alexandria, VA, USA
* '''Deadline''': October 08, 2010
* '''Date Posted''': March 29, 2010
* '''Contact''': [http://is.gd/b616r Listing at USAJOBS.gov]

Description:
The USPTO is responsible for granting U.S. Intellectual Property
Rights for Patents and Trademarks and has been serving the economic
interests of America for more than 200 years. The Office is a heavy
user of text analysis and search tools for both text and images, and
is in the midst of an entire redesign of its Information Technology
system. This internship is an opportunity to make a difference to the
entire U.S. economy by applying your skills in user interface design
and evaluation, text classification algorithm design and evaluation,
and search interface and algorithm design and evaluation. For more
information about the USPTO, please visit our website at
http://www.uspto.gov.

The Office of the Chief Information Technology (IT) Strategist is
looking for enthusiastic individuals to design new and evaluate
existing interfaces and algorithms for text and image search, and for
text and image classification and comparison. Tasks will include some
combination of designing, programming, usability testing, and report
writing, with an option to write publishable research papers.
Projects include designing and testing algorithms and interfaces for
collaborative search, for integrated faceted classification into
search tools, for automating assignment of faceted classifications to
patent documents as well as to non-patent prior art, for allowing the
public as well as PTO employees to comment on and annotate documents,
and to compare the contents of structured text documents visually and
algorithmically. Students with skills in designing tools for online
social interaction are also encouraged to apply.

Requirements:

- US CITIZENSHIP IS REQUIRED. SOCIAL SECURITY NUMBER IS REQUIRED.

- Applicants MUST be ENROLLED in A GRADUATE PROGRAM/SUBMIT TRANSCRIPT.

- Applicants MUST submit ONE to THREE LETTERS OF RECOMMENDATION.

See link above for more details.

== Biomedical Text mining Position available, CNIO - Madrid, Spain ==

* '''Employer''': Spanish National Cancer Research Center (CNIO)
* '''Rank or Title''': Project associate research position
* '''Specialty''': Biomedical Text mining
* '''Location''': Madrid, Spain
* '''Deadline''': March 01, 2010
* '''Date Posted''': Feb 01, 2010
* '''Contact''': Martin Krallinger - mkrallinger@cnio.es

Description:
The candidate will work within a multidisciplinary team involved in the development and application of biomedical text mining and natural language processing approaches.

The overall aim of this work is to develop and apply text mining and natural language processing technologies to biomedical literature, covering aspects related to automatic text classification using machine learning methods, the detection of entities of biological interest from text and the extraction and ranking of biological relations from the biomedical literature. A special focus will be given to certain topics such as cancer related literature and protein interactions.

Expected outcomes will include fundamental research in biomedical text mining, publications in high-impact journals and development of biomedical text mining applications and services. The resulting strategies will be applied to process article abstracts, full text articles as well as clinical records.

Requirements:
Applicants should possess an MSc (preferably a PhD) in biology, computer science or related areas with specific knowledge in Computer Science, Bioinformatics, Computational Linguistics, Statistics or Machine Learning or Text Mining.

1) Candidates should have the following qualifications:
- Competitive software engineering skills (demonstrable knowledge of at least two programming languages such as python, C/C++, Java, Perl and the development of online web applications).
- A solid background and interest in statistical and machine learning methods
- Ability to develop algorithms and software for natural language processing/text mining systems
- Good English communication skills
- A strong interest in collaborating with experts from the biomedical, molecular biology and bioinformatics domains and text mining.

2) Other desirable skills and selection criteria include:
- Exposure to biomedical texts/domain.
- Familiarity with development of Web Services
- Well organized and have the ability to work in an interdisciplinary team.
- The publication record would be an advantage.
- Familiarity with NLP tasks such as named entity recognition, summarization, information extraction, and information retrieval will
be also highly desirable.
- Familiarity with some of the existing software that might be relevant to the research topic (like Weka, LibSVM, Lucene, GATE, NLTK, or Mallet).
- Interest in the evaluation of systems performance and community challenges.

Organization:
The Spanish National Cancer Centre (CNIO, Madrid, Spain - http://www.cnio.es/ing/index.asp) is one of the few European Cancer Centers to allocate resources to both basic and applied research in an integrated fashion, thus supporting the interaction of basic research programmes with those of molecular diagnostics and drug discovery. All CNIO programmes benefit from excellent equipment, technology, and technical services. The CNIO employs about 500 scientists, it offers excellent work conditions including competitive salary, and world-class computing infrastructure.
The Structural and Computational Biology Programme at CNIO, leaded by Dr. Alfonso Valencia integrates several research groups, including the Computational Biology group, a Bioinformatics support unit and the central node of the Spanish Bioinformatics Institute, a Genome Spain platform. The computational facilities and infrastructure cover all the needs of the research in modern text mining and NLP, computational biology and provides excellent grounds for the analysis of high-throughput genomic data.
The research group contributed significantly to the biomedical text mining research over the past years, from initial work related to the analysis of protein families, microarray data and protein interactions to the development of popular online applications such as the iHOP server or PLAN2L. Recent research efforts also promoted the organization of the BioCreative text-mining challenges, the development of the BioCreative metaserver and the BioCreative II.5 competition. The research group has a well-established international network of collaborations with other text mining groups, bioinformatics and biological database teams and experimental biomedical researches.

Salary:
Between 25,000 and 30,000 Euro / year depending qualifications. Contract for 2-3 years.

Application:
Requests for additional information or formal applications (including Application letters, extensive CV and PhD/MA thesis and the names of at least two references) can be sent to Martin Krallinger: mkrallinger@cnio.es

== Full Professor, Theoretical Computational Linguistics, Potsdam, Germany ==

* '''Employer''': Potsdam
* '''Rank or Title''': Full Professor (W3)
* '''Specialty''': Theoretical Computational Linguistics
* '''Location''': Potsdam, Germany
* '''Deadline''': Feb 20, 2010
* '''Date Posted''': Jan 21, 2010
* '''Contact''': [http://www.ling.uni-potsdam.de] vasishth@uni-potsdam.de

Professorship (W3) in Theoretical Computational Linguistics, University of Potsdam

The University of Potsdam invites applications for the post of full professor in Theoretical Computational Linguistics. Theoretical Computational Linguistics at Potsdam plays an important role in connecting theoretical linguistics, clinical and psycholinguistics and computational linguistics. The ideal candidate will have expertise in one or more of these areas:

* Grammar formalisms and (probabilistic) parsing of natural language
* machine learning techniques for language processing
* computational semantics

Knowledge of symbolic and/or statistical methods and corpus-based methods is presupposed. The research profile of the candidate should fit into the interdisciplinary nature of the Excellence Center for Cognitive Sciences at Potsdam [http://www.uni-potsdam.de/humfak/hum-exzellenzbereich.html]. Participation is expected in the Collaborative Research Project (Sonderforschungsbereich 632), Information Structure: the linguistic means for structuring utterances, sentences and texts [http://www.sfb632.uni-potsdam.de/main.html], and in other projects related to cognitive science. Experience in obtaining third-party funding and an international presence is desirable.

The University of Potsdam is an Equal Opportunity employer and is actively engaged in increasing the proportion of women in research and teaching; qualified women are therefore encouraged to apply. All other things being equal, handicapped candidates will be given preference.

Questions regarding the job opening should be directed to Shravan Vasishth (vasishth@uni-potsdam.de).

Applications should be received by February 20 2010, and should be sent to:
The President, University of Potsdam, Am Neues Palais 10, 14469 Potsdam, Germany

Employment opportunities, postdoctoral positions, summer jobs

2011-01-07T19:23:56Z

ETSOC:

** ETS (Educational Testing Service)
** Associate Research Scientist, Speech
** Research
** Princeton, New Jersey, United States, 08540
** 02/06/2011
** 01/07/2011
** http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve. In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field. You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.Our requirements include: <ul> <li>Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles</li> <li>Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators </li> <li>Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics </li> <li>Evidence of substantive research experience and/or experience in developing and deploying speech capabilities</li> <li>Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system</li> <li>Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting</li> </ul> We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend] EOE[http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049 Apply Here]

== French Canadian computational linguist==
** Employer: The Lingua Team
** Rank: Language support contractor
** Speciality: Speech recognition
** Location: Seattle, WA (work can be done remotely)
** Deadline: 01/04/2011 (apologies for the tight deadline)
** Date Posted: 12/28/2010
** Contact email: info at thelinguateam.com
The Lingua Team, a Seattle area based company, dedicated to linguistic services is looking for a French Canadian computational linguist to create speech recognition grammars in xml format. Knowledge of French Canadian is a must. Please, email your resume for consideration. A first set of tasks needs to be completed in the first week of January.

== NSF Post Doctoral Fellowship at Localot Research, Cambridge, MA==
** Employer: Localot Research
** Rank: Post Doctoral Fellow
** Speciality: NLP/ML research and development for Information Extraction
** Location: Cambridge, MA
** Deadline: 01/01/2011 (sorry for the late notice)
** Date Posted: 12/22/2010
** Contact email or link to website: http://www.localot.com (pauln@localot.com, work@localot.com)

A NSF postdoc position is available at Localot Research under the NSF SBIR fellowship program. Localot Research develops and applies machine learning and natural language processing techniques to meet both high-precision and high-recall information needs. Staffed with 6 research scientists, and supported by software engineers, Localot Research offers opportunities for applied research on a variety of projects, ranging from active learning for semi-supervised relation extraction to latent variable and multi-task modeling for robust adaptive information extraction and ranking systems.

The successful candidate will be a highly qualified postdoctoral fellow with a strong background in machine learning and natural language processing and a good research publication record in these areas. The candidate must have strong hands-on Java development skills and be able to perform research with close interaction with a small group of researcher scientists at Localot Research. Experience in processing very large noisy data sets is highly desirable as well as ability to clarify research goals consistently with business targets.

The position is initially for one year, ideally starting from January 2011, with potential
extension. The position will have an annual income of $75,000. In addition, the fellowship will provide the successful candidate with health insurance. The applicant must be a U.S. citizen, U.S. National or a permanent resident.

Please contact pauln@localot.com or work@localot.com as soon as possible for timely application.

==Post Doctoral Fellow, Natural Language Processing and Multilingual Semantic Annotation, Grenoble, France==
** Employer: Laboratoire d'Informatique de Grenoble, GETALP team, CNRS
** Rank or Title: Post Doctoral Fellow, Natural Language Processing and Multilingual Semantic Annotation and Classification
** Specialty: Research
** Location: Grenoble, France
** Deadline: 01/31/2011
** Date Posted: 12/07/2010
** Contact email or link to website: http://www.liglab.fr/IMG/protege/form9/PDoc-Videosense-getalp.pdf

The Study Group for Machine Translation and Automated Processing of Languages and Speech (GETALP)
at the LIG Lab (Laboratoire d’Informatique de Grenoble) located at Grenoble, France, has an immediate
opening for a Postdoctoral Fellow in the area of Natural Language Processing and Multilingual Semantic
Annotation and Classification. The Fellowship is for one year, beginning at the earliest convenience in 2011.

The candidate will be working in the framework of the VideoSense project sponsored by the ANR
(Agence Nationale de la Recherche) research funding agency. The VideoSense project aims at automatic video
tagging by high level concepts, including static concepts (e.g. object, scene, people, etc.), events, and emotions,
while targeting two applications, namely video recommendation and ads monetization, on the Ghanni’s media
assess management platform. The innovations targeted by the project include video content description by lowlevel
features, emotional video content recognition, cross-concept detection, multimodal fusion, and the use of a
pivot language for dealing with multilingual textual resources associated with video data. This post doctoral
position focusses on the processing of multilingual textual data.

The candidate will develop and integrate several components which will:
* gather large scale multilingual lexical resources in the concerned languages (English, French, German),
* train sets of conceptual vectors associated to word senses in the multilingual lexical resources,
* project each conceptual vector in a pivot vector space,
* provide a semantic analysis of the textual metadata associated to the video data.

All developments will be made in java.

'''Minimum Requirements'''

* PhD degree in Computer Science, Computational Linguistics, Natural Language Processing, or related fields defended less than 2 years before hiring date.
* Strong programming skills (java, perl, C++).
* Full spoken and written proficiency of French or English.

'''Preferred/Recommended Requirements'''

* Basic knowledge in Semantic Analysis of texts, Multilingual Language Resources,
* Ability to work in a research team
* Knowledge of French and/or German

'''Contact'''

Applicants should send a full CV in French or English, including a list of publications, a description of
previous research experience, names and contact of 2 referees, to Gilles Sérasset (Gilles.Serasset[ at ]imag.fr) as
soon as possible.

For more information, contact Gilles Sérasset at Gilles.Serasset[ at ]imag.fr.

==Associate Research Engineer, Natural Language Processing==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Associate Research Engineer, Natural Language Processing
** Specialty: Research
** Location: Princeton, New Jersey
** Deadline: 12/31/2010
** Date Posted: 12/01/2010
** Contact email or link to website: http://www.Click2Apply.net/rnnrpxe

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development.

Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.
Job Requirements

In addition to exceptional verbal/written communication skills, our qualifications include:

* Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field
* A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential
* Coursework in statistics and experience in using machine learning toolkits are highly desirable
* Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies
* Knowledge of UNIX and Windows computing environments
* Familiarity with UNIX tools and scripting languages and algorithms, methods and data structures in common use in the processing of speech and language data

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend

EOE

Apply Here: http://www.Click2Apply.net/rnnrpxe

==Post-doc in Natural Language Processing (Barcelona, Spain)==
** Employer: Universitat Pompeu Fabra, Barcelona, Spain
** Rank or Title: Postdoctoral Researcher
** Specialty: Research and Development
** Location: Barcelona, Spain
** Deadline: 6/12/2010
** Date Posted: 19/11/2010
** Contact email or link to website: http://www.taln.upf.edu/

The Natural Language Processing Research group (TALN) at the Department of Communication and Information Technologies, Universitat Pompeu Fabra has a 2-years open position in the area of automatic text simplification in Spanish in the context of the research project Simplext.

We are looking for candidates with experience in natural language processing (NLP) and in particular with knowledge and experience in empirical methods (machine learning for NLP). Candidates with interest and/or experience in automatic text summarization, text simplification, text-to-text generation, and development of NLP applications are particularly welcome.

We require:

- PhD with specialization in Natural Language Processing;

- Experience in developing NLP applications and Web services;

- Experience with NLP platforms and tools for the automatic analysis of Spanish language;

- Knowledge and use of the Java language;

- Proficiency in English

We offer:

- A 2-years research contract with a maximum gross salary of 28.842,72€ depending on experience

- Work in a research project with relevance to society

- Work for a dynamic and collaborative research team

- The position is available immediately

Universitat Pompeu Fabra (UPF) is recognised internationally for the quality of its research, it is also one of the top 5 Spanish universities in terms of scientific production and academia efficiency. The NLP group is situated in Campus de la Comunicación in the innovation district of Barcelona 22@.

If you are interested in working with us, please send the following documentation:

- Cover letter including your contact details

- A CV and list of publications

- The names and contact details of 3 people who can act as your references

Send the documentation by e-mail to Dr. Horacio Saggion, the subject of your e-mail should be “Simplext-TALN-Pos-Doc”. Deadline to send your application is 6th of December. If you have any informal query please contact Dr. Horacio Saggion.
Consult http://www.taln.upf.edu for contact details.

==Pre-doc in Natural Language Processing (Barcelona, Spain)==
** Employer: Universitat Pompeu Fabra, Barcelona, Spain
** Rank or Title: Predoctoral Researcher
** Specialty: Research and Development
** Location: Barcelona, Spain
** Deadline: 6/12/2010
** Date Posted: 19/11/2010
** Contact email or link to website: http://www.taln.upf.edu/

The Natural Language Processing Research group (TALN) at the Department of Communication and Information Technologies, Universitat Pompeu Fabra has a 12-months open position in the area of automatic text simplification in Spanish in the context of the research project Simplext.

We are looking for candidates with some experience in natural language processing (NLP) and willing to pursue a PhD in NLP. Candidates with interest and/or experience in automatic text summarization, text simplification, text-to-text generation, and development of NLP applications are particularly welcome.

We require:

- A degree in Computer Science or related field

- Experience in NLP, Machine Learning, or Artificial Intelligence

- Experience in Java programming and Web Service development

We offer:

- A 12-months research contract

- Dynamic and collaborative working environment

- A maximum gross salary of 15.530,76€ depending on experience

- The position is available from January 2011.

Universitat Pompeu Fabra (UPF) is recognised internationally for the quality of its research, it is also one of the top 5 Spanish universities in terms of scientific production and academia efficiency. The NLP group is situated in Campus de la Comunicación in the innovation district of Barcelona 22@.

If you are interested in working with us, please send the following documentation:

- Cover letter including your contact details

- A CV and list of publications

- The names and contact details of 2 people who can act as your references

Send the documentation by e-mail to Dr. Horacio Saggion, the subject of your e-mail should be “Simplext-TALN-Pre-Doc”. Deadline to send your application is 6th of December. If you have any informal query please contact Dr. Horacio Saggion.
Consult http://www.taln.upf.edu for contact details.

== Research Fellow, NLP and MT for Arabic ==
** Employer: University of Wolverhampton, UK
** Rank or Title: Research Fellow
** Specialty: Research and Development
** Location: Wolverhampton, UK
** Deadline: 30/11/2010
** Date Posted: 18/11/2010
** Contact email or link to website: lspecia@gmail.com

The Research Group in Computational Linguistics (http://clg.wlv.ac.uk/), University of Wolverhampton, invites applications for a research fellowship in the area of Arabic Natural Language Processing for a fixed-term contract: 12 months. The candidate will be expected to carry out research in the topic of evaluation of Arabic-English machine translation. He/she will contribute to the collection of data, proposal, design and evaluation of quality estimation approaches. He/she may also contribute to the implementation of the proposed approaches, which will be performed by an experienced programmer.

A successful applicant must:
- Have a good honours degree or equivalent in Computational Linguistics, Artificial Intelligence, Linguistics, Computer Science/Engineering, Mathematics, Statistics, or related areas.
- Be a native or fluent speaker of Arabic or have sufficient knowledge of the language proved by previous research related to the language.
- Have experience in Computational Linguistics / Natural Language Processing, particularly the area of Machine Translation evaluation. A PhD in the field is ideal, but masters level or work experience are also acceptable.
- Be eligible to work in the UK, as the job requires an immediate start. Part-time applications from candidates currently studying in the UK will also be considered.

The starting date is early December 2010.

The application deadline is November 30, 2010.

Applications should be sent by e-mail to:

Dr. Lucia Specia
lspecia@gmail.com

Applications must include:

1) A curriculum vitae indicating degrees obtained, course covered, publications, relevant work experience, and names of 3 referees that could be contacted if necessary.

2) A 1-page cover letter with statement of research experience, indicating why you are interested in this position and why you consider your experience is relevant.

3) A job application form that can be downloaded from: http://www2.wlv.ac.uk/pers/jobdetails/pers_jobapp_word_oct10.doc

The successful candidate will work with the Computational Linguistics group. Established by Prof. Ruslan Mitkov in 1998, the Research Group in Computational Linguistics is highly successful, delivering cutting-edge research in a number of NLP areas such as anaphora resolution, automatic summarisation, question answering, lexical knowledge acquisition, text categorisation, named entity recognition, information extraction, corpus construction and annotation, automatic terminology processing, multilingual processing, and multiple-choice question generation. To a large extent, this research has been undertaken in projects funded by major EU and UK funding bodies and commercial partners.

The results from the latest Research Assessment Exercise announced on 17 December 2008 confirm the Research Group in Computational Linguistics as one of the top performers in UK research. The research group was entered in Unit of Assessment "Linguistics" and Wolverhampton was ranked joint 3rd with 2 more universities. According to the league tables of the Guardian, The Times and Research Fortnight, research in Linguistics at the University of Wolverhampton is one of the top 6 best in the UK.

== Associate Research Scientist, Speech==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Associate Research Scientist, Speech
** Specialty: Research
** Location: Princeton, New Jersey, United States, 08540
** Deadline: 12/04/2010
** Date Posted: 11/04/2010
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field.

You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.

Our requirements include:

* Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles
* Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators
* Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics
* Evidence of substantive research experience and/or experience in developing and deploying speech capabilities
* Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system
* Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

== Senior Research Scientist, Natural Language Processing==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Senior Research Scientist, Natural Language Processing
** Specialty: Research
** Location: Princeton, New Jersey, United States, 08540
** Deadline: 12/04/2010
** Date Posted: 11/04/2010
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.

Job Requirements

Our qualifications include:

* A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science
* Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study
* A strong statistical and machine learning background
* Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems
* Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)
* The ability to lead the development of proposals for major research, development, or large-scale NLP projects, obtain financial support for new or continuing research activities and maintain appropriate contact with funding agencies for the development of new research programs and projects
* Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators
* Familiarity with the application of NLP tools to educational problems
* Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97875&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

== Research Scientist/NLP Developer==
*'''Employer''': stealth startup
*'''Rank or Title''': Research Scientist/NLP Developer
*'''Specialty''': NLP, Medical Informatics, Data Scientist
*'''Location''': Menlo Park, CA
*'''Deadline''': Open until filled. Applications reviewed immediately.
*'''Date Posted''': October 22, 2010
*'''Contact''': jchew@oneteamtech.com

As a Research Scientist, you will contribute to the development of algorithms and content for medical web applications and healthcare data processing tools. You will be part of the Informatics research team building intelligent software systems for integrating various types of healthcare data in a research and development environment.

Qualifications & Requirements

* PhD (preferred) or Master's degree in Computer Science, Computational Linguistics, Mathematics or related fields
* Experience with NLP, text processing, text mining, search algorithms, machine learning
* Experience with Medical terminology and data sources (preferred)
* Data mining and analysis of large data sets (preferred)
* Strong analytical and algorithm design abilities
* Experience in Java development
* Excellent communication skills
* Ability to work as a team with scientists, engineers and medical professionals
* Must be an independent self-starter

== Natural Language Processing Expert ==
* '''Employer''': RealHealthData
* '''Rank or Title''': Assistant Professor, Computer Scientist, NLP Expert.
* '''Specialty''': Natural Language Processing
* '''Location''': Santa Cruz, CA (Telecommuting OK)
* '''Deadline''': Open until filled, application review begins immediately.
* '''Date Posted''': October 20, 2010
* '''Contact''': paul.murphy@realhealthdata.com

Throughout 2009, a contract-based NLP expert produced an initial dataset derived from de-identified medical records, which are used to analyze trends and patterns in the medical research field.

During the de-identification and processing phase, metadata such as practice specialty and location was manually included as a reference alongside all documents. Another product that needs optimization in this project is an application that allows the input of additional medical records, in Microsoft Word format, to the main database using the same algorithm as the initial process.

The objective is to identify the weaknesses in the algorithm, which have led to a lower amount of extracted data than should be expected, considering the rich content of documents. Once the algorithm is optimized, it should be run on all documents in our current pool, generating a more complete and updated dataset. The project will conclude once we have a new full dataset, and a C# application fit for seamless input in the future.

Skills:
-3+ years of experience with command of at least one NLP tool, and/or experience with projects involving NLP and Text Mining or developing NLP solutions.
-Knowledge of analytics and data visualization
-Knowledge of spreadsheet-based analysis and reporting
-Experience with programming to implement NLP solutions (C#)
-Knowledge of key NLP techniques, including part-of-text tagging, syntactic parsing, information extraction, etc.

== Assistant Professor, Machine Learning ==
* '''Employer''': The Ohio State University
* '''Rank or Title''': Assistant Professor, Tenure Track
* '''Specialty''': Machine Learning
* '''Location''': Columbus, OH
* '''Deadline''': Open until filled, application review begins November 2010.
* '''Date Posted''': October 6, 2010
* '''Contact''': http://www.cse.ohio-state.edu/department/positions.shtml

The Computer Science & Engineering Department at Ohio State has multiple
assistant professor openings this year, one of which is targeted for
machine learning. Application review will begin in November. More
information can be found at the following site:

http://www.cse.ohio-state.edu/department/positions.shtml

== Scientist/Sr. Scientist, Text Mining Biologist ==
* '''Employer''': Pfizer
* '''Rank or Title''': Scientist/Sr. Scientist, Text Mining Biologist
* '''Specialty''': Text Mining
* '''Location''': South San Francisco, CA
* '''Deadline''': Open until filled
* '''Date Posted''': August 26, 2010
* '''Contact''': http://www.pfizer.com

At Pfizer BioTherapeutics Division, Applied Quantitative Genotherapeutics (AQG) group, we are dedicated to developing and implementing investigative approaches focused on evaluating potential drug candidates and identifying new targets in preclinical models of disease. We use the latest scientific knowledge and apply novel approaches to discover new ways of treating disease. We encourage cooperation and support a high level of scientific freedom to find the best answers to biological questions. Located in South San Francisco, AQG provides the feel of a small start-up company with the resources of a large pharmaceutical company in the heart of the biotech capital of the world.

Responsibilities:

As part of the Applied Quantitative Genotherapeutics group, you will be working with a multi-disciplinary team using both bench biology and computational skills. You will use your understanding of biology and text analytics to partner with, and support project teams and individuals in research, clinical or business units.

You will assist in the specification of tools and methods for accessing, mining, and analyzing biomedical text. You will partner with Pfizer colleagues, publishers, and commercial vendors to evaluate, implement, test, and integrate best-in-class text mining capabilities. You will assist in the creation of custom corpora that can be interrogated by, and integrated with the text mining capabilities described above. You will assist in the evaluation, curation and administration of taxonomies, thesauri, and ontologies in compliance. You will assist in quantifying the quality of text mining capabilities. You will assist with testing, training, and communications related to the text mining capabilities described above, and perform related duties and manage special projects, as needed. This position will be deployed in South San Francisco, but will interact seamlessly with a similar group in Cambridge MA.

Qualifications:

MS or PhD required in the biomedical sciences (or equivalent) and a minimum of 1-3 years experience working in a biotechnology or pharmaceutical organization. Applicants must have knowledge of text mining principles and practices, demonstrated experience in the application of ontologies, taxonomies, and thesauri for text mining purposes, and familiarity with commercial and public biomedical information sources and vendors. Awareness of current and emerging text mining tools and trends, as demonstrated by active participation in professional organizations and in professional development activities, is also desired. Must possess good verbal and written communication skills, as required for communications with colleagues, vendors and project teams. Must be independent and self-motivated, with a propensity to seek out challenges and capitalize on new opportunities.

Please submit resumes for Requisition #942862 to www.pfizer.com

== Research Scientist, Natural Language Processing ==
* '''Employer''': ETS (Educational Testing Service)
* '''Rank or Title''': Research Scientist, Natural Language Processing
* '''Specialty''': Research
* '''Location''': Princeton, New Jersey, United States, 08540
* '''Deadline''': Open until filled
* '''Date Posted''': July 21, 2010
* '''Contact''': [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3BB not for profit organization dedicated to advancing educational excellence and a leader in educational research. Our mission is to advance quality and equity in education as an innovator in developing achievement and occupational tests for clients in business, education and government. ETS Research & Development has an immediate opening for an Associate Research Scientist in the Center for Automated Scoring and Natural Language Processing. This position will be responsible for a mixture of operational and research efforts related to ETS' automated scoring technologies housed in the Automated Scoring and Natural Language Processing group. These technologies include automated essay scoring (e-rater), scoring short answers for correctness of content (c-rater), mathematical equations and plots (m-rater), and scoring the spontaneous speech of English Language Learners (SpeechRater). Responsibilities of the position include but are not limited to: <ul> <li>Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing and disseminating results of research projects in the field of natural language processing (NLP) or portions of large-scale research studies or programs in the same field.</li> <li>Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP analysis and evaluation systems which are used to improve assessments, learning tools and test development practices.</li> <li>Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.</li> <li>Develop and oversee the conduct of selected portions of research proposals and project budgets.</li> <li>Design and conduct complex scientific studies functioning as an expert in major facets of the projects.</li> <li>Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.</li> <li>Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.</li> <li>Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.</li> </ul>

Requirements: <ul> <li>Ph.D. in Natural Language Processing, Computational Linguistics or Computer Science with an emphasis on issues in syntactic and/or semantic analysis of text is desired.</li> <li>Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms and tools would be an asset.</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems required.</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python) is also required.</li> </ul> We offer a competitive salary, a stimulating work environment, attractive growth potential and excellent benefits including medical/dental, flexible spending, 403(b) with company match and more. Please apply directly online to the ETS Careers page at:ETS is an Equal Opportunity, Affirmative Action Employer. [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=91476&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail] [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]

== Programmer Analyst, Linguistic Data Consortium, Philadelphia, PA, USA ==
* '''Employer''': Linguistic Data Consortium, the University of Pennsylvania, USA
* '''Rank or Title''': Programmer Analyst (#100328205)
* '''Specialty''': Corpus Creation, Annotation Tool Development
* '''Location''': Philadelphia, PA, USA
* '''Deadline''': Open until filled
* '''Date Posted''': June 24, 2010
* '''Contact''': Please visit [http://jobs.hr.upenn.edu/applicants/Central?quickFind=191248 application URL]

This position will support LDC's language resource creation projects by providing programming, research and other technical support in a rapid prototyping environment, for multiple concurrent projects with evolving technical requirements. In collaboration with technical managers, non-technical project staff and external researchers, this candidate will assess technical requirements for projects, develop plans for satisfying those needs, and implement technical specifications within stringent deadlines and budget constraints.

For further information or to apply online, visit the application URL above.

This position is contingent upon funding.

Penn offers an excellent benefits package including medical/dental, retirement plans, tuition assistance and a minimum of 3 weeks paid vacation per year.

The University of Pennsylvania does not discriminate on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status or any other legally protected class status in the administration of its admissions, financial aid, educational or athletic programs, or other University-administered programs or in its employment practices. Questions or complaints regarding this policy should be directed to the Executive Director of the Office of Affirmative Action and Equal Opportunity Programs, Sansom Place East, 3600 Chestnut Street, Suite 228, Philadelphia, PA 19104-6106; or (215) 898-6993 (Voice) or (215) 898-7803 (TDD).

== Computational Linguist contracts (Several languages) ==
* '''Employer''': The Lingua Team, LLC
* '''Rank or Title''': Computational linguist
* '''Specialty''': Grammar and syntax in foreign languages
* '''Location''': Redmond, WA, USA
* '''Deadline''': July 30, 2010
* '''Date Posted''': June 15, 2010
* '''Contact''': The Lingua Team website[http://www.thelinguateam.com], or email [mailto:info@thelinguateam.com]

Description: The Lingua team provides linguistic services to IT companies worldwide.

We are looking for computational linguists to describe properties relevant to grammar checking for several language groups: Semitic,
Romance, Slavic, Germanic, and Agglutinative. The actual list of languages includes: Arabic, Brazilian Portuguese, Bulgarian, Czech,
Danish, Dutch, European Portuguese, Finnish, Hebrew, Hungarian, Italian, Norwegian Bokmal, Polish, Romansh, Russian, Swedish, and
Turkish.

These positions require native or near native knowledge of the above languages to describe properties relevant to grammar checking for one or more of these languages.

Required: Degreed
linguist with graduate-level studies with proven experience managing or performing computational linguistic work (syntax, morphology,
lexicography) in several languages. Self-starter, ability to work independently, excellent written communication skills. Work permit
for the USA.

Preferred: Experience writing rules in a formal system, ideally for style or grammar checking applications. Additional
Information: Contract full-time for three months, to be extended for a year depending on ability to meet the job demands. Though the location of this project is Redmond, WA (USA) working from your location after the initial training might be a possibility.

== Government internships (unpaid) in text classification and search ==
* '''Employer''': U.S. Patents and Trademarks Office
* '''Rank or Title''': Student Volunteer
* '''Specialty''': Computer and Information Science
* '''Location''': Alexandria, VA, USA
* '''Deadline''': October 08, 2010
* '''Date Posted''': March 29, 2010
* '''Contact''': [http://is.gd/b616r Listing at USAJOBS.gov]

Description:
The USPTO is responsible for granting U.S. Intellectual Property
Rights for Patents and Trademarks and has been serving the economic
interests of America for more than 200 years. The Office is a heavy
user of text analysis and search tools for both text and images, and
is in the midst of an entire redesign of its Information Technology
system. This internship is an opportunity to make a difference to the
entire U.S. economy by applying your skills in user interface design
and evaluation, text classification algorithm design and evaluation,
and search interface and algorithm design and evaluation. For more
information about the USPTO, please visit our website at
http://www.uspto.gov.

The Office of the Chief Information Technology (IT) Strategist is
looking for enthusiastic individuals to design new and evaluate
existing interfaces and algorithms for text and image search, and for
text and image classification and comparison. Tasks will include some
combination of designing, programming, usability testing, and report
writing, with an option to write publishable research papers.
Projects include designing and testing algorithms and interfaces for
collaborative search, for integrated faceted classification into
search tools, for automating assignment of faceted classifications to
patent documents as well as to non-patent prior art, for allowing the
public as well as PTO employees to comment on and annotate documents,
and to compare the contents of structured text documents visually and
algorithmically. Students with skills in designing tools for online
social interaction are also encouraged to apply.

Requirements:

- US CITIZENSHIP IS REQUIRED. SOCIAL SECURITY NUMBER IS REQUIRED.

- Applicants MUST be ENROLLED in A GRADUATE PROGRAM/SUBMIT TRANSCRIPT.

- Applicants MUST submit ONE to THREE LETTERS OF RECOMMENDATION.

See link above for more details.

== Biomedical Text mining Position available, CNIO - Madrid, Spain ==

* '''Employer''': Spanish National Cancer Research Center (CNIO)
* '''Rank or Title''': Project associate research position
* '''Specialty''': Biomedical Text mining
* '''Location''': Madrid, Spain
* '''Deadline''': March 01, 2010
* '''Date Posted''': Feb 01, 2010
* '''Contact''': Martin Krallinger - mkrallinger@cnio.es

Description:
The candidate will work within a multidisciplinary team involved in the development and application of biomedical text mining and natural language processing approaches.

The overall aim of this work is to develop and apply text mining and natural language processing technologies to biomedical literature, covering aspects related to automatic text classification using machine learning methods, the detection of entities of biological interest from text and the extraction and ranking of biological relations from the biomedical literature. A special focus will be given to certain topics such as cancer related literature and protein interactions.

Expected outcomes will include fundamental research in biomedical text mining, publications in high-impact journals and development of biomedical text mining applications and services. The resulting strategies will be applied to process article abstracts, full text articles as well as clinical records.

Requirements:
Applicants should possess an MSc (preferably a PhD) in biology, computer science or related areas with specific knowledge in Computer Science, Bioinformatics, Computational Linguistics, Statistics or Machine Learning or Text Mining.

1) Candidates should have the following qualifications:
- Competitive software engineering skills (demonstrable knowledge of at least two programming languages such as python, C/C++, Java, Perl and the development of online web applications).
- A solid background and interest in statistical and machine learning methods
- Ability to develop algorithms and software for natural language processing/text mining systems
- Good English communication skills
- A strong interest in collaborating with experts from the biomedical, molecular biology and bioinformatics domains and text mining.

2) Other desirable skills and selection criteria include:
- Exposure to biomedical texts/domain.
- Familiarity with development of Web Services
- Well organized and have the ability to work in an interdisciplinary team.
- The publication record would be an advantage.
- Familiarity with NLP tasks such as named entity recognition, summarization, information extraction, and information retrieval will
be also highly desirable.
- Familiarity with some of the existing software that might be relevant to the research topic (like Weka, LibSVM, Lucene, GATE, NLTK, or Mallet).
- Interest in the evaluation of systems performance and community challenges.

Organization:
The Spanish National Cancer Centre (CNIO, Madrid, Spain - http://www.cnio.es/ing/index.asp) is one of the few European Cancer Centers to allocate resources to both basic and applied research in an integrated fashion, thus supporting the interaction of basic research programmes with those of molecular diagnostics and drug discovery. All CNIO programmes benefit from excellent equipment, technology, and technical services. The CNIO employs about 500 scientists, it offers excellent work conditions including competitive salary, and world-class computing infrastructure.
The Structural and Computational Biology Programme at CNIO, leaded by Dr. Alfonso Valencia integrates several research groups, including the Computational Biology group, a Bioinformatics support unit and the central node of the Spanish Bioinformatics Institute, a Genome Spain platform. The computational facilities and infrastructure cover all the needs of the research in modern text mining and NLP, computational biology and provides excellent grounds for the analysis of high-throughput genomic data.
The research group contributed significantly to the biomedical text mining research over the past years, from initial work related to the analysis of protein families, microarray data and protein interactions to the development of popular online applications such as the iHOP server or PLAN2L. Recent research efforts also promoted the organization of the BioCreative text-mining challenges, the development of the BioCreative metaserver and the BioCreative II.5 competition. The research group has a well-established international network of collaborations with other text mining groups, bioinformatics and biological database teams and experimental biomedical researches.

Salary:
Between 25,000 and 30,000 Euro / year depending qualifications. Contract for 2-3 years.

Application:
Requests for additional information or formal applications (including Application letters, extensive CV and PhD/MA thesis and the names of at least two references) can be sent to Martin Krallinger: mkrallinger@cnio.es

== Full Professor, Theoretical Computational Linguistics, Potsdam, Germany ==

* '''Employer''': Potsdam
* '''Rank or Title''': Full Professor (W3)
* '''Specialty''': Theoretical Computational Linguistics
* '''Location''': Potsdam, Germany
* '''Deadline''': Feb 20, 2010
* '''Date Posted''': Jan 21, 2010
* '''Contact''': [http://www.ling.uni-potsdam.de] vasishth@uni-potsdam.de

Professorship (W3) in Theoretical Computational Linguistics, University of Potsdam

The University of Potsdam invites applications for the post of full professor in Theoretical Computational Linguistics. Theoretical Computational Linguistics at Potsdam plays an important role in connecting theoretical linguistics, clinical and psycholinguistics and computational linguistics. The ideal candidate will have expertise in one or more of these areas:

* Grammar formalisms and (probabilistic) parsing of natural language
* machine learning techniques for language processing
* computational semantics

Knowledge of symbolic and/or statistical methods and corpus-based methods is presupposed. The research profile of the candidate should fit into the interdisciplinary nature of the Excellence Center for Cognitive Sciences at Potsdam [http://www.uni-potsdam.de/humfak/hum-exzellenzbereich.html]. Participation is expected in the Collaborative Research Project (Sonderforschungsbereich 632), Information Structure: the linguistic means for structuring utterances, sentences and texts [http://www.sfb632.uni-potsdam.de/main.html], and in other projects related to cognitive science. Experience in obtaining third-party funding and an international presence is desirable.

The University of Potsdam is an Equal Opportunity employer and is actively engaged in increasing the proportion of women in research and teaching; qualified women are therefore encouraged to apply. All other things being equal, handicapped candidates will be given preference.

Questions regarding the job opening should be directed to Shravan Vasishth (vasishth@uni-potsdam.de).

Applications should be received by February 20 2010, and should be sent to:
The President, University of Potsdam, Am Neues Palais 10, 14469 Potsdam, Germany

Employment opportunities, postdoctoral positions, summer jobs

2011-01-07T19:17:07Z

ETSOC:

** ETS (Educational Testing Service)
** Senior Research Scientist, Natural Language Processing
** Research
** Princeton, New Jersey, United States, 08540
** 02/06/2011
** 01/07/2011
** http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve. In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.Our qualifications include: <ul> <li>A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science</li> <li>Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study</li> <li>A strong statistical and machine learning background</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)</li> <li>The ability to lead the development of proposals for major research, development, or large-scale NLP projects, obtain financial support for new or continuing research activities and maintain appropriate contact with funding agencies for the development of new research programs and projects</li> <li>Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators </li> <li>Familiarity with the application of NLP tools to educational problems</li> <li>Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors</li> </ul> We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97875&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97875&type=&cfcend] EOE [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799 Apply Here]

== French Canadian computational linguist==
** Employer: The Lingua Team
** Rank: Language support contractor
** Speciality: Speech recognition
** Location: Seattle, WA (work can be done remotely)
** Deadline: 01/04/2011 (apologies for the tight deadline)
** Date Posted: 12/28/2010
** Contact email: info at thelinguateam.com
The Lingua Team, a Seattle area based company, dedicated to linguistic services is looking for a French Canadian computational linguist to create speech recognition grammars in xml format. Knowledge of French Canadian is a must. Please, email your resume for consideration. A first set of tasks needs to be completed in the first week of January.

== NSF Post Doctoral Fellowship at Localot Research, Cambridge, MA==
** Employer: Localot Research
** Rank: Post Doctoral Fellow
** Speciality: NLP/ML research and development for Information Extraction
** Location: Cambridge, MA
** Deadline: 01/01/2011 (sorry for the late notice)
** Date Posted: 12/22/2010
** Contact email or link to website: http://www.localot.com (pauln@localot.com, work@localot.com)

A NSF postdoc position is available at Localot Research under the NSF SBIR fellowship program. Localot Research develops and applies machine learning and natural language processing techniques to meet both high-precision and high-recall information needs. Staffed with 6 research scientists, and supported by software engineers, Localot Research offers opportunities for applied research on a variety of projects, ranging from active learning for semi-supervised relation extraction to latent variable and multi-task modeling for robust adaptive information extraction and ranking systems.

The successful candidate will be a highly qualified postdoctoral fellow with a strong background in machine learning and natural language processing and a good research publication record in these areas. The candidate must have strong hands-on Java development skills and be able to perform research with close interaction with a small group of researcher scientists at Localot Research. Experience in processing very large noisy data sets is highly desirable as well as ability to clarify research goals consistently with business targets.

The position is initially for one year, ideally starting from January 2011, with potential
extension. The position will have an annual income of $75,000. In addition, the fellowship will provide the successful candidate with health insurance. The applicant must be a U.S. citizen, U.S. National or a permanent resident.

Please contact pauln@localot.com or work@localot.com as soon as possible for timely application.

==Post Doctoral Fellow, Natural Language Processing and Multilingual Semantic Annotation, Grenoble, France==
** Employer: Laboratoire d'Informatique de Grenoble, GETALP team, CNRS
** Rank or Title: Post Doctoral Fellow, Natural Language Processing and Multilingual Semantic Annotation and Classification
** Specialty: Research
** Location: Grenoble, France
** Deadline: 01/31/2011
** Date Posted: 12/07/2010
** Contact email or link to website: http://www.liglab.fr/IMG/protege/form9/PDoc-Videosense-getalp.pdf

The Study Group for Machine Translation and Automated Processing of Languages and Speech (GETALP)
at the LIG Lab (Laboratoire d’Informatique de Grenoble) located at Grenoble, France, has an immediate
opening for a Postdoctoral Fellow in the area of Natural Language Processing and Multilingual Semantic
Annotation and Classification. The Fellowship is for one year, beginning at the earliest convenience in 2011.

The candidate will be working in the framework of the VideoSense project sponsored by the ANR
(Agence Nationale de la Recherche) research funding agency. The VideoSense project aims at automatic video
tagging by high level concepts, including static concepts (e.g. object, scene, people, etc.), events, and emotions,
while targeting two applications, namely video recommendation and ads monetization, on the Ghanni’s media
assess management platform. The innovations targeted by the project include video content description by lowlevel
features, emotional video content recognition, cross-concept detection, multimodal fusion, and the use of a
pivot language for dealing with multilingual textual resources associated with video data. This post doctoral
position focusses on the processing of multilingual textual data.

The candidate will develop and integrate several components which will:
* gather large scale multilingual lexical resources in the concerned languages (English, French, German),
* train sets of conceptual vectors associated to word senses in the multilingual lexical resources,
* project each conceptual vector in a pivot vector space,
* provide a semantic analysis of the textual metadata associated to the video data.

All developments will be made in java.

'''Minimum Requirements'''

* PhD degree in Computer Science, Computational Linguistics, Natural Language Processing, or related fields defended less than 2 years before hiring date.
* Strong programming skills (java, perl, C++).
* Full spoken and written proficiency of French or English.

'''Preferred/Recommended Requirements'''

* Basic knowledge in Semantic Analysis of texts, Multilingual Language Resources,
* Ability to work in a research team
* Knowledge of French and/or German

'''Contact'''

Applicants should send a full CV in French or English, including a list of publications, a description of
previous research experience, names and contact of 2 referees, to Gilles Sérasset (Gilles.Serasset[ at ]imag.fr) as
soon as possible.

For more information, contact Gilles Sérasset at Gilles.Serasset[ at ]imag.fr.

==Associate Research Engineer, Natural Language Processing==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Associate Research Engineer, Natural Language Processing
** Specialty: Research
** Location: Princeton, New Jersey
** Deadline: 12/31/2010
** Date Posted: 12/01/2010
** Contact email or link to website: http://www.Click2Apply.net/rnnrpxe

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development.

Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.
Job Requirements

In addition to exceptional verbal/written communication skills, our qualifications include:

* Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field
* A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential
* Coursework in statistics and experience in using machine learning toolkits are highly desirable
* Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies
* Knowledge of UNIX and Windows computing environments
* Familiarity with UNIX tools and scripting languages and algorithms, methods and data structures in common use in the processing of speech and language data

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend

EOE

Apply Here: http://www.Click2Apply.net/rnnrpxe

==Post-doc in Natural Language Processing (Barcelona, Spain)==
** Employer: Universitat Pompeu Fabra, Barcelona, Spain
** Rank or Title: Postdoctoral Researcher
** Specialty: Research and Development
** Location: Barcelona, Spain
** Deadline: 6/12/2010
** Date Posted: 19/11/2010
** Contact email or link to website: http://www.taln.upf.edu/

The Natural Language Processing Research group (TALN) at the Department of Communication and Information Technologies, Universitat Pompeu Fabra has a 2-years open position in the area of automatic text simplification in Spanish in the context of the research project Simplext.

We are looking for candidates with experience in natural language processing (NLP) and in particular with knowledge and experience in empirical methods (machine learning for NLP). Candidates with interest and/or experience in automatic text summarization, text simplification, text-to-text generation, and development of NLP applications are particularly welcome.

We require:

- PhD with specialization in Natural Language Processing;

- Experience in developing NLP applications and Web services;

- Experience with NLP platforms and tools for the automatic analysis of Spanish language;

- Knowledge and use of the Java language;

- Proficiency in English

We offer:

- A 2-years research contract with a maximum gross salary of 28.842,72€ depending on experience

- Work in a research project with relevance to society

- Work for a dynamic and collaborative research team

- The position is available immediately

Universitat Pompeu Fabra (UPF) is recognised internationally for the quality of its research, it is also one of the top 5 Spanish universities in terms of scientific production and academia efficiency. The NLP group is situated in Campus de la Comunicación in the innovation district of Barcelona 22@.

If you are interested in working with us, please send the following documentation:

- Cover letter including your contact details

- A CV and list of publications

- The names and contact details of 3 people who can act as your references

Send the documentation by e-mail to Dr. Horacio Saggion, the subject of your e-mail should be “Simplext-TALN-Pos-Doc”. Deadline to send your application is 6th of December. If you have any informal query please contact Dr. Horacio Saggion.
Consult http://www.taln.upf.edu for contact details.

==Pre-doc in Natural Language Processing (Barcelona, Spain)==
** Employer: Universitat Pompeu Fabra, Barcelona, Spain
** Rank or Title: Predoctoral Researcher
** Specialty: Research and Development
** Location: Barcelona, Spain
** Deadline: 6/12/2010
** Date Posted: 19/11/2010
** Contact email or link to website: http://www.taln.upf.edu/

The Natural Language Processing Research group (TALN) at the Department of Communication and Information Technologies, Universitat Pompeu Fabra has a 12-months open position in the area of automatic text simplification in Spanish in the context of the research project Simplext.

We are looking for candidates with some experience in natural language processing (NLP) and willing to pursue a PhD in NLP. Candidates with interest and/or experience in automatic text summarization, text simplification, text-to-text generation, and development of NLP applications are particularly welcome.

We require:

- A degree in Computer Science or related field

- Experience in NLP, Machine Learning, or Artificial Intelligence

- Experience in Java programming and Web Service development

We offer:

- A 12-months research contract

- Dynamic and collaborative working environment

- A maximum gross salary of 15.530,76€ depending on experience

- The position is available from January 2011.

Universitat Pompeu Fabra (UPF) is recognised internationally for the quality of its research, it is also one of the top 5 Spanish universities in terms of scientific production and academia efficiency. The NLP group is situated in Campus de la Comunicación in the innovation district of Barcelona 22@.

If you are interested in working with us, please send the following documentation:

- Cover letter including your contact details

- A CV and list of publications

- The names and contact details of 2 people who can act as your references

Send the documentation by e-mail to Dr. Horacio Saggion, the subject of your e-mail should be “Simplext-TALN-Pre-Doc”. Deadline to send your application is 6th of December. If you have any informal query please contact Dr. Horacio Saggion.
Consult http://www.taln.upf.edu for contact details.

== Research Fellow, NLP and MT for Arabic ==
** Employer: University of Wolverhampton, UK
** Rank or Title: Research Fellow
** Specialty: Research and Development
** Location: Wolverhampton, UK
** Deadline: 30/11/2010
** Date Posted: 18/11/2010
** Contact email or link to website: lspecia@gmail.com

The Research Group in Computational Linguistics (http://clg.wlv.ac.uk/), University of Wolverhampton, invites applications for a research fellowship in the area of Arabic Natural Language Processing for a fixed-term contract: 12 months. The candidate will be expected to carry out research in the topic of evaluation of Arabic-English machine translation. He/she will contribute to the collection of data, proposal, design and evaluation of quality estimation approaches. He/she may also contribute to the implementation of the proposed approaches, which will be performed by an experienced programmer.

A successful applicant must:
- Have a good honours degree or equivalent in Computational Linguistics, Artificial Intelligence, Linguistics, Computer Science/Engineering, Mathematics, Statistics, or related areas.
- Be a native or fluent speaker of Arabic or have sufficient knowledge of the language proved by previous research related to the language.
- Have experience in Computational Linguistics / Natural Language Processing, particularly the area of Machine Translation evaluation. A PhD in the field is ideal, but masters level or work experience are also acceptable.
- Be eligible to work in the UK, as the job requires an immediate start. Part-time applications from candidates currently studying in the UK will also be considered.

The starting date is early December 2010.

The application deadline is November 30, 2010.

Applications should be sent by e-mail to:

Dr. Lucia Specia
lspecia@gmail.com

Applications must include:

1) A curriculum vitae indicating degrees obtained, course covered, publications, relevant work experience, and names of 3 referees that could be contacted if necessary.

2) A 1-page cover letter with statement of research experience, indicating why you are interested in this position and why you consider your experience is relevant.

3) A job application form that can be downloaded from: http://www2.wlv.ac.uk/pers/jobdetails/pers_jobapp_word_oct10.doc

The successful candidate will work with the Computational Linguistics group. Established by Prof. Ruslan Mitkov in 1998, the Research Group in Computational Linguistics is highly successful, delivering cutting-edge research in a number of NLP areas such as anaphora resolution, automatic summarisation, question answering, lexical knowledge acquisition, text categorisation, named entity recognition, information extraction, corpus construction and annotation, automatic terminology processing, multilingual processing, and multiple-choice question generation. To a large extent, this research has been undertaken in projects funded by major EU and UK funding bodies and commercial partners.

The results from the latest Research Assessment Exercise announced on 17 December 2008 confirm the Research Group in Computational Linguistics as one of the top performers in UK research. The research group was entered in Unit of Assessment "Linguistics" and Wolverhampton was ranked joint 3rd with 2 more universities. According to the league tables of the Guardian, The Times and Research Fortnight, research in Linguistics at the University of Wolverhampton is one of the top 6 best in the UK.

== Associate Research Scientist, Speech==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Associate Research Scientist, Speech
** Specialty: Research
** Location: Princeton, New Jersey, United States, 08540
** Deadline: 12/04/2010
** Date Posted: 11/04/2010
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field.

You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.

Our requirements include:

* Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles
* Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators
* Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics
* Evidence of substantive research experience and/or experience in developing and deploying speech capabilities
* Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system
* Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

== Senior Research Scientist, Natural Language Processing==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Senior Research Scientist, Natural Language Processing
** Specialty: Research
** Location: Princeton, New Jersey, United States, 08540
** Deadline: 12/04/2010
** Date Posted: 11/04/2010
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.

Job Requirements

Our qualifications include:

* A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science
* Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study
* A strong statistical and machine learning background
* Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems
* Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)
* The ability to lead the development of proposals for major research, development, or large-scale NLP projects, obtain financial support for new or continuing research activities and maintain appropriate contact with funding agencies for the development of new research programs and projects
* Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators
* Familiarity with the application of NLP tools to educational problems
* Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97875&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

== Research Scientist/NLP Developer==
*'''Employer''': stealth startup
*'''Rank or Title''': Research Scientist/NLP Developer
*'''Specialty''': NLP, Medical Informatics, Data Scientist
*'''Location''': Menlo Park, CA
*'''Deadline''': Open until filled. Applications reviewed immediately.
*'''Date Posted''': October 22, 2010
*'''Contact''': jchew@oneteamtech.com

As a Research Scientist, you will contribute to the development of algorithms and content for medical web applications and healthcare data processing tools. You will be part of the Informatics research team building intelligent software systems for integrating various types of healthcare data in a research and development environment.

Qualifications & Requirements

* PhD (preferred) or Master's degree in Computer Science, Computational Linguistics, Mathematics or related fields
* Experience with NLP, text processing, text mining, search algorithms, machine learning
* Experience with Medical terminology and data sources (preferred)
* Data mining and analysis of large data sets (preferred)
* Strong analytical and algorithm design abilities
* Experience in Java development
* Excellent communication skills
* Ability to work as a team with scientists, engineers and medical professionals
* Must be an independent self-starter

== Natural Language Processing Expert ==
* '''Employer''': RealHealthData
* '''Rank or Title''': Assistant Professor, Computer Scientist, NLP Expert.
* '''Specialty''': Natural Language Processing
* '''Location''': Santa Cruz, CA (Telecommuting OK)
* '''Deadline''': Open until filled, application review begins immediately.
* '''Date Posted''': October 20, 2010
* '''Contact''': paul.murphy@realhealthdata.com

Throughout 2009, a contract-based NLP expert produced an initial dataset derived from de-identified medical records, which are used to analyze trends and patterns in the medical research field.

During the de-identification and processing phase, metadata such as practice specialty and location was manually included as a reference alongside all documents. Another product that needs optimization in this project is an application that allows the input of additional medical records, in Microsoft Word format, to the main database using the same algorithm as the initial process.

The objective is to identify the weaknesses in the algorithm, which have led to a lower amount of extracted data than should be expected, considering the rich content of documents. Once the algorithm is optimized, it should be run on all documents in our current pool, generating a more complete and updated dataset. The project will conclude once we have a new full dataset, and a C# application fit for seamless input in the future.

Skills:
-3+ years of experience with command of at least one NLP tool, and/or experience with projects involving NLP and Text Mining or developing NLP solutions.
-Knowledge of analytics and data visualization
-Knowledge of spreadsheet-based analysis and reporting
-Experience with programming to implement NLP solutions (C#)
-Knowledge of key NLP techniques, including part-of-text tagging, syntactic parsing, information extraction, etc.

== Assistant Professor, Machine Learning ==
* '''Employer''': The Ohio State University
* '''Rank or Title''': Assistant Professor, Tenure Track
* '''Specialty''': Machine Learning
* '''Location''': Columbus, OH
* '''Deadline''': Open until filled, application review begins November 2010.
* '''Date Posted''': October 6, 2010
* '''Contact''': http://www.cse.ohio-state.edu/department/positions.shtml

The Computer Science & Engineering Department at Ohio State has multiple
assistant professor openings this year, one of which is targeted for
machine learning. Application review will begin in November. More
information can be found at the following site:

http://www.cse.ohio-state.edu/department/positions.shtml

== Scientist/Sr. Scientist, Text Mining Biologist ==
* '''Employer''': Pfizer
* '''Rank or Title''': Scientist/Sr. Scientist, Text Mining Biologist
* '''Specialty''': Text Mining
* '''Location''': South San Francisco, CA
* '''Deadline''': Open until filled
* '''Date Posted''': August 26, 2010
* '''Contact''': http://www.pfizer.com

At Pfizer BioTherapeutics Division, Applied Quantitative Genotherapeutics (AQG) group, we are dedicated to developing and implementing investigative approaches focused on evaluating potential drug candidates and identifying new targets in preclinical models of disease. We use the latest scientific knowledge and apply novel approaches to discover new ways of treating disease. We encourage cooperation and support a high level of scientific freedom to find the best answers to biological questions. Located in South San Francisco, AQG provides the feel of a small start-up company with the resources of a large pharmaceutical company in the heart of the biotech capital of the world.

Responsibilities:

As part of the Applied Quantitative Genotherapeutics group, you will be working with a multi-disciplinary team using both bench biology and computational skills. You will use your understanding of biology and text analytics to partner with, and support project teams and individuals in research, clinical or business units.

You will assist in the specification of tools and methods for accessing, mining, and analyzing biomedical text. You will partner with Pfizer colleagues, publishers, and commercial vendors to evaluate, implement, test, and integrate best-in-class text mining capabilities. You will assist in the creation of custom corpora that can be interrogated by, and integrated with the text mining capabilities described above. You will assist in the evaluation, curation and administration of taxonomies, thesauri, and ontologies in compliance. You will assist in quantifying the quality of text mining capabilities. You will assist with testing, training, and communications related to the text mining capabilities described above, and perform related duties and manage special projects, as needed. This position will be deployed in South San Francisco, but will interact seamlessly with a similar group in Cambridge MA.

Qualifications:

MS or PhD required in the biomedical sciences (or equivalent) and a minimum of 1-3 years experience working in a biotechnology or pharmaceutical organization. Applicants must have knowledge of text mining principles and practices, demonstrated experience in the application of ontologies, taxonomies, and thesauri for text mining purposes, and familiarity with commercial and public biomedical information sources and vendors. Awareness of current and emerging text mining tools and trends, as demonstrated by active participation in professional organizations and in professional development activities, is also desired. Must possess good verbal and written communication skills, as required for communications with colleagues, vendors and project teams. Must be independent and self-motivated, with a propensity to seek out challenges and capitalize on new opportunities.

Please submit resumes for Requisition #942862 to www.pfizer.com

== Research Scientist, Natural Language Processing ==
* '''Employer''': ETS (Educational Testing Service)
* '''Rank or Title''': Research Scientist, Natural Language Processing
* '''Specialty''': Research
* '''Location''': Princeton, New Jersey, United States, 08540
* '''Deadline''': Open until filled
* '''Date Posted''': July 21, 2010
* '''Contact''': [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3BB not for profit organization dedicated to advancing educational excellence and a leader in educational research. Our mission is to advance quality and equity in education as an innovator in developing achievement and occupational tests for clients in business, education and government. ETS Research & Development has an immediate opening for an Associate Research Scientist in the Center for Automated Scoring and Natural Language Processing. This position will be responsible for a mixture of operational and research efforts related to ETS' automated scoring technologies housed in the Automated Scoring and Natural Language Processing group. These technologies include automated essay scoring (e-rater), scoring short answers for correctness of content (c-rater), mathematical equations and plots (m-rater), and scoring the spontaneous speech of English Language Learners (SpeechRater). Responsibilities of the position include but are not limited to: <ul> <li>Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing and disseminating results of research projects in the field of natural language processing (NLP) or portions of large-scale research studies or programs in the same field.</li> <li>Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP analysis and evaluation systems which are used to improve assessments, learning tools and test development practices.</li> <li>Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.</li> <li>Develop and oversee the conduct of selected portions of research proposals and project budgets.</li> <li>Design and conduct complex scientific studies functioning as an expert in major facets of the projects.</li> <li>Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.</li> <li>Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.</li> <li>Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.</li> </ul>

Requirements: <ul> <li>Ph.D. in Natural Language Processing, Computational Linguistics or Computer Science with an emphasis on issues in syntactic and/or semantic analysis of text is desired.</li> <li>Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms and tools would be an asset.</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems required.</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python) is also required.</li> </ul> We offer a competitive salary, a stimulating work environment, attractive growth potential and excellent benefits including medical/dental, flexible spending, 403(b) with company match and more. Please apply directly online to the ETS Careers page at:ETS is an Equal Opportunity, Affirmative Action Employer. [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=91476&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail] [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]

== Programmer Analyst, Linguistic Data Consortium, Philadelphia, PA, USA ==
* '''Employer''': Linguistic Data Consortium, the University of Pennsylvania, USA
* '''Rank or Title''': Programmer Analyst (#100328205)
* '''Specialty''': Corpus Creation, Annotation Tool Development
* '''Location''': Philadelphia, PA, USA
* '''Deadline''': Open until filled
* '''Date Posted''': June 24, 2010
* '''Contact''': Please visit [http://jobs.hr.upenn.edu/applicants/Central?quickFind=191248 application URL]

This position will support LDC's language resource creation projects by providing programming, research and other technical support in a rapid prototyping environment, for multiple concurrent projects with evolving technical requirements. In collaboration with technical managers, non-technical project staff and external researchers, this candidate will assess technical requirements for projects, develop plans for satisfying those needs, and implement technical specifications within stringent deadlines and budget constraints.

For further information or to apply online, visit the application URL above.

This position is contingent upon funding.

Penn offers an excellent benefits package including medical/dental, retirement plans, tuition assistance and a minimum of 3 weeks paid vacation per year.

The University of Pennsylvania does not discriminate on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status or any other legally protected class status in the administration of its admissions, financial aid, educational or athletic programs, or other University-administered programs or in its employment practices. Questions or complaints regarding this policy should be directed to the Executive Director of the Office of Affirmative Action and Equal Opportunity Programs, Sansom Place East, 3600 Chestnut Street, Suite 228, Philadelphia, PA 19104-6106; or (215) 898-6993 (Voice) or (215) 898-7803 (TDD).

== Computational Linguist contracts (Several languages) ==
* '''Employer''': The Lingua Team, LLC
* '''Rank or Title''': Computational linguist
* '''Specialty''': Grammar and syntax in foreign languages
* '''Location''': Redmond, WA, USA
* '''Deadline''': July 30, 2010
* '''Date Posted''': June 15, 2010
* '''Contact''': The Lingua Team website[http://www.thelinguateam.com], or email [mailto:info@thelinguateam.com]

Description: The Lingua team provides linguistic services to IT companies worldwide.

We are looking for computational linguists to describe properties relevant to grammar checking for several language groups: Semitic,
Romance, Slavic, Germanic, and Agglutinative. The actual list of languages includes: Arabic, Brazilian Portuguese, Bulgarian, Czech,
Danish, Dutch, European Portuguese, Finnish, Hebrew, Hungarian, Italian, Norwegian Bokmal, Polish, Romansh, Russian, Swedish, and
Turkish.

These positions require native or near native knowledge of the above languages to describe properties relevant to grammar checking for one or more of these languages.

Required: Degreed
linguist with graduate-level studies with proven experience managing or performing computational linguistic work (syntax, morphology,
lexicography) in several languages. Self-starter, ability to work independently, excellent written communication skills. Work permit
for the USA.

Preferred: Experience writing rules in a formal system, ideally for style or grammar checking applications. Additional
Information: Contract full-time for three months, to be extended for a year depending on ability to meet the job demands. Though the location of this project is Redmond, WA (USA) working from your location after the initial training might be a possibility.

== Government internships (unpaid) in text classification and search ==
* '''Employer''': U.S. Patents and Trademarks Office
* '''Rank or Title''': Student Volunteer
* '''Specialty''': Computer and Information Science
* '''Location''': Alexandria, VA, USA
* '''Deadline''': October 08, 2010
* '''Date Posted''': March 29, 2010
* '''Contact''': [http://is.gd/b616r Listing at USAJOBS.gov]

Description:
The USPTO is responsible for granting U.S. Intellectual Property
Rights for Patents and Trademarks and has been serving the economic
interests of America for more than 200 years. The Office is a heavy
user of text analysis and search tools for both text and images, and
is in the midst of an entire redesign of its Information Technology
system. This internship is an opportunity to make a difference to the
entire U.S. economy by applying your skills in user interface design
and evaluation, text classification algorithm design and evaluation,
and search interface and algorithm design and evaluation. For more
information about the USPTO, please visit our website at
http://www.uspto.gov.

The Office of the Chief Information Technology (IT) Strategist is
looking for enthusiastic individuals to design new and evaluate
existing interfaces and algorithms for text and image search, and for
text and image classification and comparison. Tasks will include some
combination of designing, programming, usability testing, and report
writing, with an option to write publishable research papers.
Projects include designing and testing algorithms and interfaces for
collaborative search, for integrated faceted classification into
search tools, for automating assignment of faceted classifications to
patent documents as well as to non-patent prior art, for allowing the
public as well as PTO employees to comment on and annotate documents,
and to compare the contents of structured text documents visually and
algorithmically. Students with skills in designing tools for online
social interaction are also encouraged to apply.

Requirements:

- US CITIZENSHIP IS REQUIRED. SOCIAL SECURITY NUMBER IS REQUIRED.

- Applicants MUST be ENROLLED in A GRADUATE PROGRAM/SUBMIT TRANSCRIPT.

- Applicants MUST submit ONE to THREE LETTERS OF RECOMMENDATION.

See link above for more details.

== Biomedical Text mining Position available, CNIO - Madrid, Spain ==

* '''Employer''': Spanish National Cancer Research Center (CNIO)
* '''Rank or Title''': Project associate research position
* '''Specialty''': Biomedical Text mining
* '''Location''': Madrid, Spain
* '''Deadline''': March 01, 2010
* '''Date Posted''': Feb 01, 2010
* '''Contact''': Martin Krallinger - mkrallinger@cnio.es

Description:
The candidate will work within a multidisciplinary team involved in the development and application of biomedical text mining and natural language processing approaches.

The overall aim of this work is to develop and apply text mining and natural language processing technologies to biomedical literature, covering aspects related to automatic text classification using machine learning methods, the detection of entities of biological interest from text and the extraction and ranking of biological relations from the biomedical literature. A special focus will be given to certain topics such as cancer related literature and protein interactions.

Expected outcomes will include fundamental research in biomedical text mining, publications in high-impact journals and development of biomedical text mining applications and services. The resulting strategies will be applied to process article abstracts, full text articles as well as clinical records.

Requirements:
Applicants should possess an MSc (preferably a PhD) in biology, computer science or related areas with specific knowledge in Computer Science, Bioinformatics, Computational Linguistics, Statistics or Machine Learning or Text Mining.

1) Candidates should have the following qualifications:
- Competitive software engineering skills (demonstrable knowledge of at least two programming languages such as python, C/C++, Java, Perl and the development of online web applications).
- A solid background and interest in statistical and machine learning methods
- Ability to develop algorithms and software for natural language processing/text mining systems
- Good English communication skills
- A strong interest in collaborating with experts from the biomedical, molecular biology and bioinformatics domains and text mining.

2) Other desirable skills and selection criteria include:
- Exposure to biomedical texts/domain.
- Familiarity with development of Web Services
- Well organized and have the ability to work in an interdisciplinary team.
- The publication record would be an advantage.
- Familiarity with NLP tasks such as named entity recognition, summarization, information extraction, and information retrieval will
be also highly desirable.
- Familiarity with some of the existing software that might be relevant to the research topic (like Weka, LibSVM, Lucene, GATE, NLTK, or Mallet).
- Interest in the evaluation of systems performance and community challenges.

Organization:
The Spanish National Cancer Centre (CNIO, Madrid, Spain - http://www.cnio.es/ing/index.asp) is one of the few European Cancer Centers to allocate resources to both basic and applied research in an integrated fashion, thus supporting the interaction of basic research programmes with those of molecular diagnostics and drug discovery. All CNIO programmes benefit from excellent equipment, technology, and technical services. The CNIO employs about 500 scientists, it offers excellent work conditions including competitive salary, and world-class computing infrastructure.
The Structural and Computational Biology Programme at CNIO, leaded by Dr. Alfonso Valencia integrates several research groups, including the Computational Biology group, a Bioinformatics support unit and the central node of the Spanish Bioinformatics Institute, a Genome Spain platform. The computational facilities and infrastructure cover all the needs of the research in modern text mining and NLP, computational biology and provides excellent grounds for the analysis of high-throughput genomic data.
The research group contributed significantly to the biomedical text mining research over the past years, from initial work related to the analysis of protein families, microarray data and protein interactions to the development of popular online applications such as the iHOP server or PLAN2L. Recent research efforts also promoted the organization of the BioCreative text-mining challenges, the development of the BioCreative metaserver and the BioCreative II.5 competition. The research group has a well-established international network of collaborations with other text mining groups, bioinformatics and biological database teams and experimental biomedical researches.

Salary:
Between 25,000 and 30,000 Euro / year depending qualifications. Contract for 2-3 years.

Application:
Requests for additional information or formal applications (including Application letters, extensive CV and PhD/MA thesis and the names of at least two references) can be sent to Martin Krallinger: mkrallinger@cnio.es

== Full Professor, Theoretical Computational Linguistics, Potsdam, Germany ==

* '''Employer''': Potsdam
* '''Rank or Title''': Full Professor (W3)
* '''Specialty''': Theoretical Computational Linguistics
* '''Location''': Potsdam, Germany
* '''Deadline''': Feb 20, 2010
* '''Date Posted''': Jan 21, 2010
* '''Contact''': [http://www.ling.uni-potsdam.de] vasishth@uni-potsdam.de

Professorship (W3) in Theoretical Computational Linguistics, University of Potsdam

The University of Potsdam invites applications for the post of full professor in Theoretical Computational Linguistics. Theoretical Computational Linguistics at Potsdam plays an important role in connecting theoretical linguistics, clinical and psycholinguistics and computational linguistics. The ideal candidate will have expertise in one or more of these areas:

* Grammar formalisms and (probabilistic) parsing of natural language
* machine learning techniques for language processing
* computational semantics

Knowledge of symbolic and/or statistical methods and corpus-based methods is presupposed. The research profile of the candidate should fit into the interdisciplinary nature of the Excellence Center for Cognitive Sciences at Potsdam [http://www.uni-potsdam.de/humfak/hum-exzellenzbereich.html]. Participation is expected in the Collaborative Research Project (Sonderforschungsbereich 632), Information Structure: the linguistic means for structuring utterances, sentences and texts [http://www.sfb632.uni-potsdam.de/main.html], and in other projects related to cognitive science. Experience in obtaining third-party funding and an international presence is desirable.

The University of Potsdam is an Equal Opportunity employer and is actively engaged in increasing the proportion of women in research and teaching; qualified women are therefore encouraged to apply. All other things being equal, handicapped candidates will be given preference.

Questions regarding the job opening should be directed to Shravan Vasishth (vasishth@uni-potsdam.de).

Applications should be received by February 20 2010, and should be sent to:
The President, University of Potsdam, Am Neues Palais 10, 14469 Potsdam, Germany

Employment opportunities, postdoctoral positions, summer jobs

2010-12-01T18:19:35Z

ETSOC:

* Please post your job ad below.
* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''.
* '''Please remove your posting when the position is filled.'''
* Please include the following information:
** Employer
** Rank or Title
** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)
** Location
** Deadline
** Date Posted
** Contact email or link to website
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
* Archived postings:
** [[Employment opportunities posted 2009]]
** [[Employment opportunities posted 2008]]
** [[Employment opportunities posted 2007]]

==Associate Research Engineer, Natural Language Processing==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Associate Research Engineer, Natural Language Processing
** Specialty: Research
** Location: Princeton, New Jersey
** Deadline: 12/31/2010
** Date Posted: 12/01/2010
** Contact email or link to website: http://www.Click2Apply.net/rnnrpxe

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development.

Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.
Job Requirements

In addition to exceptional verbal/written communication skills, our qualifications include:

* Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field
* A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential
* Coursework in statistics and experience in using machine learning toolkits are highly desirable
* Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies
* Knowledge of UNIX and Windows computing environments
* Familiarity with UNIX tools and scripting languages and algorithms, methods and data structures in common use in the processing of speech and language data

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend

EOE

Apply Here: http://www.Click2Apply.net/rnnrpxe

==Post-doc in Natural Language Processing (Barcelona, Spain)==
** Employer: Universitat Pompeu Fabra, Barcelona, Spain
** Rank or Title: Postdoctoral Researcher
** Specialty: Research and Development
** Location: Barcelona, Spain
** Deadline: 6/12/2010
** Date Posted: 19/11/2010
** Contact email or link to website: http://www.taln.upf.edu/

The Natural Language Processing Research group (TALN) at the Department of Communication and Information Technologies, Universitat Pompeu Fabra has a 2-years open position in the area of automatic text simplification in Spanish in the context of the research project Simplext.

We are looking for candidates with experience in natural language processing (NLP) and in particular with knowledge and experience in empirical methods (machine learning for NLP). Candidates with interest and/or experience in automatic text summarization, text simplification, text-to-text generation, and development of NLP applications are particularly welcome.

We require:

- PhD with specialization in Natural Language Processing;

- Experience in developing NLP applications and Web services;

- Experience with NLP platforms and tools for the automatic analysis of Spanish language;

- Knowledge and use of the Java language;

- Proficiency in English

We offer:

- A 2-years research contract with a maximum gross salary of 28.842,72€ depending on experience

- Work in a research project with relevance to society

- Work for a dynamic and collaborative research team

- The position is available immediately

Universitat Pompeu Fabra (UPF) is recognised internationally for the quality of its research, it is also one of the top 5 Spanish universities in terms of scientific production and academia efficiency. The NLP group is situated in Campus de la Comunicación in the innovation district of Barcelona 22@.

If you are interested in working with us, please send the following documentation:

- Cover letter including your contact details

- A CV and list of publications

- The names and contact details of 3 people who can act as your references

Send the documentation by e-mail to Dr. Horacio Saggion, the subject of your e-mail should be “Simplext-TALN-Pos-Doc”. Deadline to send your application is 6th of December. If you have any informal query please contact Dr. Horacio Saggion.
Consult http://www.taln.upf.edu for contact details.

==Pre-doc in Natural Language Processing (Barcelona, Spain)==
** Employer: Universitat Pompeu Fabra, Barcelona, Spain
** Rank or Title: Predoctoral Researcher
** Specialty: Research and Development
** Location: Barcelona, Spain
** Deadline: 6/12/2010
** Date Posted: 19/11/2010
** Contact email or link to website: http://www.taln.upf.edu/

The Natural Language Processing Research group (TALN) at the Department of Communication and Information Technologies, Universitat Pompeu Fabra has a 12-months open position in the area of automatic text simplification in Spanish in the context of the research project Simplext.

We are looking for candidates with some experience in natural language processing (NLP) and willing to pursue a PhD in NLP. Candidates with interest and/or experience in automatic text summarization, text simplification, text-to-text generation, and development of NLP applications are particularly welcome.

We require:

- A degree in Computer Science or related field

- Experience in NLP, Machine Learning, or Artificial Intelligence

- Experience in Java programming and Web Service development

We offer:

- A 12-months research contract

- Dynamic and collaborative working environment

- A maximum gross salary of 15.530,76€ depending on experience

- The position is available from January 2011.

Universitat Pompeu Fabra (UPF) is recognised internationally for the quality of its research, it is also one of the top 5 Spanish universities in terms of scientific production and academia efficiency. The NLP group is situated in Campus de la Comunicación in the innovation district of Barcelona 22@.

If you are interested in working with us, please send the following documentation:

- Cover letter including your contact details

- A CV and list of publications

- The names and contact details of 2 people who can act as your references

Send the documentation by e-mail to Dr. Horacio Saggion, the subject of your e-mail should be “Simplext-TALN-Pre-Doc”. Deadline to send your application is 6th of December. If you have any informal query please contact Dr. Horacio Saggion.
Consult http://www.taln.upf.edu for contact details.

== Research Fellow, NLP and MT for Arabic ==
** Employer: University of Wolverhampton, UK
** Rank or Title: Research Fellow
** Specialty: Research and Development
** Location: Wolverhampton, UK
** Deadline: 30/11/2010
** Date Posted: 18/11/2010
** Contact email or link to website: lspecia@gmail.com

The Research Group in Computational Linguistics (http://clg.wlv.ac.uk/), University of Wolverhampton, invites applications for a research fellowship in the area of Arabic Natural Language Processing for a fixed-term contract: 12 months. The candidate will be expected to carry out research in the topic of evaluation of Arabic-English machine translation. He/she will contribute to the collection of data, proposal, design and evaluation of quality estimation approaches. He/she may also contribute to the implementation of the proposed approaches, which will be performed by an experienced programmer.

A successful applicant must:
- Have a good honours degree or equivalent in Computational Linguistics, Artificial Intelligence, Linguistics, Computer Science/Engineering, Mathematics, Statistics, or related areas.
- Be a native or fluent speaker of Arabic or have sufficient knowledge of the language proved by previous research related to the language.
- Have experience in Computational Linguistics / Natural Language Processing, particularly the area of Machine Translation evaluation. A PhD in the field is ideal, but masters level or work experience are also acceptable.
- Be eligible to work in the UK, as the job requires an immediate start. Part-time applications from candidates currently studying in the UK will also be considered.

The starting date is early December 2010.

The application deadline is November 30, 2010.

Applications should be sent by e-mail to:

Dr. Lucia Specia
lspecia@gmail.com

Applications must include:

1) A curriculum vitae indicating degrees obtained, course covered, publications, relevant work experience, and names of 3 referees that could be contacted if necessary.

2) A 1-page cover letter with statement of research experience, indicating why you are interested in this position and why you consider your experience is relevant.

3) A job application form that can be downloaded from: http://www2.wlv.ac.uk/pers/jobdetails/pers_jobapp_word_oct10.doc

The successful candidate will work with the Computational Linguistics group. Established by Prof. Ruslan Mitkov in 1998, the Research Group in Computational Linguistics is highly successful, delivering cutting-edge research in a number of NLP areas such as anaphora resolution, automatic summarisation, question answering, lexical knowledge acquisition, text categorisation, named entity recognition, information extraction, corpus construction and annotation, automatic terminology processing, multilingual processing, and multiple-choice question generation. To a large extent, this research has been undertaken in projects funded by major EU and UK funding bodies and commercial partners.

The results from the latest Research Assessment Exercise announced on 17 December 2008 confirm the Research Group in Computational Linguistics as one of the top performers in UK research. The research group was entered in Unit of Assessment "Linguistics" and Wolverhampton was ranked joint 3rd with 2 more universities. According to the league tables of the Guardian, The Times and Research Fortnight, research in Linguistics at the University of Wolverhampton is one of the top 6 best in the UK.

== Associate Research Scientist, Speech==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Associate Research Scientist, Speech
** Specialty: Research
** Location: Princeton, New Jersey, United States, 08540
** Deadline: 12/04/2010
** Date Posted: 11/04/2010
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field.

You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.

Our requirements include:

* Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles
* Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators
* Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics
* Evidence of substantive research experience and/or experience in developing and deploying speech capabilities
* Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system
* Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

== Senior Research Scientist, Natural Language Processing==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Senior Research Scientist, Natural Language Processing
** Specialty: Research
** Location: Princeton, New Jersey, United States, 08540
** Deadline: 12/04/2010
** Date Posted: 11/04/2010
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.

Job Requirements

Our qualifications include:

* A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science
* Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study
* A strong statistical and machine learning background
* Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems
* Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)
* The ability to lead the development of proposals for major research, development, or large-scale NLP projects, obtain financial support for new or continuing research activities and maintain appropriate contact with funding agencies for the development of new research programs and projects
* Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators
* Familiarity with the application of NLP tools to educational problems
* Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97875&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

== Research Scientist/NLP Developer==
*'''Employer''': stealth startup
*'''Rank or Title''': Research Scientist/NLP Developer
*'''Specialty''': NLP, Medical Informatics, Data Scientist
*'''Location''': Menlo Park, CA
*'''Deadline''': Open until filled. Applications reviewed immediately.
*'''Date Posted''': October 22, 2010
*'''Contact''': jchew@oneteamtech.com

As a Research Scientist, you will contribute to the development of algorithms and content for medical web applications and healthcare data processing tools. You will be part of the Informatics research team building intelligent software systems for integrating various types of healthcare data in a research and development environment.

Qualifications & Requirements

* PhD (preferred) or Master's degree in Computer Science, Computational Linguistics, Mathematics or related fields
* Experience with NLP, text processing, text mining, search algorithms, machine learning
* Experience with Medical terminology and data sources (preferred)
* Data mining and analysis of large data sets (preferred)
* Strong analytical and algorithm design abilities
* Experience in Java development
* Excellent communication skills
* Ability to work as a team with scientists, engineers and medical professionals
* Must be an independent self-starter

== Natural Language Processing Expert ==
* '''Employer''': RealHealthData
* '''Rank or Title''': Assistant Professor, Computer Scientist, NLP Expert.
* '''Specialty''': Natural Language Processing
* '''Location''': Santa Cruz, CA (Telecommuting OK)
* '''Deadline''': Open until filled, application review begins immediately.
* '''Date Posted''': October 20, 2010
* '''Contact''': paul.murphy@realhealthdata.com

Throughout 2009, a contract-based NLP expert produced an initial dataset derived from de-identified medical records, which are used to analyze trends and patterns in the medical research field.

During the de-identification and processing phase, metadata such as practice specialty and location was manually included as a reference alongside all documents. Another product that needs optimization in this project is an application that allows the input of additional medical records, in Microsoft Word format, to the main database using the same algorithm as the initial process.

The objective is to identify the weaknesses in the algorithm, which have led to a lower amount of extracted data than should be expected, considering the rich content of documents. Once the algorithm is optimized, it should be run on all documents in our current pool, generating a more complete and updated dataset. The project will conclude once we have a new full dataset, and a C# application fit for seamless input in the future.

Skills:
-3+ years of experience with command of at least one NLP tool, and/or experience with projects involving NLP and Text Mining or developing NLP solutions.
-Knowledge of analytics and data visualization
-Knowledge of spreadsheet-based analysis and reporting
-Experience with programming to implement NLP solutions (C#)
-Knowledge of key NLP techniques, including part-of-text tagging, syntactic parsing, information extraction, etc.

== Assistant Professor, Machine Learning ==
* '''Employer''': The Ohio State University
* '''Rank or Title''': Assistant Professor, Tenure Track
* '''Specialty''': Machine Learning
* '''Location''': Columbus, OH
* '''Deadline''': Open until filled, application review begins November 2010.
* '''Date Posted''': October 6, 2010
* '''Contact''': http://www.cse.ohio-state.edu/department/positions.shtml

The Computer Science & Engineering Department at Ohio State has multiple
assistant professor openings this year, one of which is targeted for
machine learning. Application review will begin in November. More
information can be found at the following site:

http://www.cse.ohio-state.edu/department/positions.shtml

== Scientist/Sr. Scientist, Text Mining Biologist ==
* '''Employer''': Pfizer
* '''Rank or Title''': Scientist/Sr. Scientist, Text Mining Biologist
* '''Specialty''': Text Mining
* '''Location''': South San Francisco, CA
* '''Deadline''': Open until filled
* '''Date Posted''': August 26, 2010
* '''Contact''': http://www.pfizer.com

At Pfizer BioTherapeutics Division, Applied Quantitative Genotherapeutics (AQG) group, we are dedicated to developing and implementing investigative approaches focused on evaluating potential drug candidates and identifying new targets in preclinical models of disease. We use the latest scientific knowledge and apply novel approaches to discover new ways of treating disease. We encourage cooperation and support a high level of scientific freedom to find the best answers to biological questions. Located in South San Francisco, AQG provides the feel of a small start-up company with the resources of a large pharmaceutical company in the heart of the biotech capital of the world.

Responsibilities:

As part of the Applied Quantitative Genotherapeutics group, you will be working with a multi-disciplinary team using both bench biology and computational skills. You will use your understanding of biology and text analytics to partner with, and support project teams and individuals in research, clinical or business units.

You will assist in the specification of tools and methods for accessing, mining, and analyzing biomedical text. You will partner with Pfizer colleagues, publishers, and commercial vendors to evaluate, implement, test, and integrate best-in-class text mining capabilities. You will assist in the creation of custom corpora that can be interrogated by, and integrated with the text mining capabilities described above. You will assist in the evaluation, curation and administration of taxonomies, thesauri, and ontologies in compliance. You will assist in quantifying the quality of text mining capabilities. You will assist with testing, training, and communications related to the text mining capabilities described above, and perform related duties and manage special projects, as needed. This position will be deployed in South San Francisco, but will interact seamlessly with a similar group in Cambridge MA.

Qualifications:

MS or PhD required in the biomedical sciences (or equivalent) and a minimum of 1-3 years experience working in a biotechnology or pharmaceutical organization. Applicants must have knowledge of text mining principles and practices, demonstrated experience in the application of ontologies, taxonomies, and thesauri for text mining purposes, and familiarity with commercial and public biomedical information sources and vendors. Awareness of current and emerging text mining tools and trends, as demonstrated by active participation in professional organizations and in professional development activities, is also desired. Must possess good verbal and written communication skills, as required for communications with colleagues, vendors and project teams. Must be independent and self-motivated, with a propensity to seek out challenges and capitalize on new opportunities.

Please submit resumes for Requisition #942862 to www.pfizer.com

== Research Scientist, Natural Language Processing ==
* '''Employer''': ETS (Educational Testing Service)
* '''Rank or Title''': Research Scientist, Natural Language Processing
* '''Specialty''': Research
* '''Location''': Princeton, New Jersey, United States, 08540
* '''Deadline''': Open until filled
* '''Date Posted''': July 21, 2010
* '''Contact''': [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3BB not for profit organization dedicated to advancing educational excellence and a leader in educational research. Our mission is to advance quality and equity in education as an innovator in developing achievement and occupational tests for clients in business, education and government. ETS Research & Development has an immediate opening for an Associate Research Scientist in the Center for Automated Scoring and Natural Language Processing. This position will be responsible for a mixture of operational and research efforts related to ETS' automated scoring technologies housed in the Automated Scoring and Natural Language Processing group. These technologies include automated essay scoring (e-rater), scoring short answers for correctness of content (c-rater), mathematical equations and plots (m-rater), and scoring the spontaneous speech of English Language Learners (SpeechRater). Responsibilities of the position include but are not limited to: <ul> <li>Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing and disseminating results of research projects in the field of natural language processing (NLP) or portions of large-scale research studies or programs in the same field.</li> <li>Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP analysis and evaluation systems which are used to improve assessments, learning tools and test development practices.</li> <li>Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.</li> <li>Develop and oversee the conduct of selected portions of research proposals and project budgets.</li> <li>Design and conduct complex scientific studies functioning as an expert in major facets of the projects.</li> <li>Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.</li> <li>Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.</li> <li>Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.</li> </ul>

Requirements: <ul> <li>Ph.D. in Natural Language Processing, Computational Linguistics or Computer Science with an emphasis on issues in syntactic and/or semantic analysis of text is desired.</li> <li>Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms and tools would be an asset.</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems required.</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python) is also required.</li> </ul> We offer a competitive salary, a stimulating work environment, attractive growth potential and excellent benefits including medical/dental, flexible spending, 403(b) with company match and more. Please apply directly online to the ETS Careers page at:ETS is an Equal Opportunity, Affirmative Action Employer. [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=91476&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail] [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]

== Programmer Analyst, Linguistic Data Consortium, Philadelphia, PA, USA ==
* '''Employer''': Linguistic Data Consortium, the University of Pennsylvania, USA
* '''Rank or Title''': Programmer Analyst (#100328205)
* '''Specialty''': Corpus Creation, Annotation Tool Development
* '''Location''': Philadelphia, PA, USA
* '''Deadline''': Open until filled
* '''Date Posted''': June 24, 2010
* '''Contact''': Please visit [http://jobs.hr.upenn.edu/applicants/Central?quickFind=191248 application URL]

This position will support LDC's language resource creation projects by providing programming, research and other technical support in a rapid prototyping environment, for multiple concurrent projects with evolving technical requirements. In collaboration with technical managers, non-technical project staff and external researchers, this candidate will assess technical requirements for projects, develop plans for satisfying those needs, and implement technical specifications within stringent deadlines and budget constraints.

For further information or to apply online, visit the application URL above.

This position is contingent upon funding.

Penn offers an excellent benefits package including medical/dental, retirement plans, tuition assistance and a minimum of 3 weeks paid vacation per year.

The University of Pennsylvania does not discriminate on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status or any other legally protected class status in the administration of its admissions, financial aid, educational or athletic programs, or other University-administered programs or in its employment practices. Questions or complaints regarding this policy should be directed to the Executive Director of the Office of Affirmative Action and Equal Opportunity Programs, Sansom Place East, 3600 Chestnut Street, Suite 228, Philadelphia, PA 19104-6106; or (215) 898-6993 (Voice) or (215) 898-7803 (TDD).

== Computational Linguist contracts (Several languages) ==
* '''Employer''': The Lingua Team, LLC
* '''Rank or Title''': Computational linguist
* '''Specialty''': Grammar and syntax in foreign languages
* '''Location''': Redmond, WA, USA
* '''Deadline''': July 30, 2010
* '''Date Posted''': June 15, 2010
* '''Contact''': The Lingua Team website[http://www.thelinguateam.com], or email [mailto:info@thelinguateam.com]

Description: The Lingua team provides linguistic services to IT companies worldwide.

We are looking for computational linguists to describe properties relevant to grammar checking for several language groups: Semitic,
Romance, Slavic, Germanic, and Agglutinative. The actual list of languages includes: Arabic, Brazilian Portuguese, Bulgarian, Czech,
Danish, Dutch, European Portuguese, Finnish, Hebrew, Hungarian, Italian, Norwegian Bokmal, Polish, Romansh, Russian, Swedish, and
Turkish.

These positions require native or near native knowledge of the above languages to describe properties relevant to grammar checking for one or more of these languages.

Required: Degreed
linguist with graduate-level studies with proven experience managing or performing computational linguistic work (syntax, morphology,
lexicography) in several languages. Self-starter, ability to work independently, excellent written communication skills. Work permit
for the USA.

Preferred: Experience writing rules in a formal system, ideally for style or grammar checking applications. Additional
Information: Contract full-time for three months, to be extended for a year depending on ability to meet the job demands. Though the location of this project is Redmond, WA (USA) working from your location after the initial training might be a possibility.

== Government internships (unpaid) in text classification and search ==
* '''Employer''': U.S. Patents and Trademarks Office
* '''Rank or Title''': Student Volunteer
* '''Specialty''': Computer and Information Science
* '''Location''': Alexandria, VA, USA
* '''Deadline''': October 08, 2010
* '''Date Posted''': March 29, 2010
* '''Contact''': [http://is.gd/b616r Listing at USAJOBS.gov]

Description:
The USPTO is responsible for granting U.S. Intellectual Property
Rights for Patents and Trademarks and has been serving the economic
interests of America for more than 200 years. The Office is a heavy
user of text analysis and search tools for both text and images, and
is in the midst of an entire redesign of its Information Technology
system. This internship is an opportunity to make a difference to the
entire U.S. economy by applying your skills in user interface design
and evaluation, text classification algorithm design and evaluation,
and search interface and algorithm design and evaluation. For more
information about the USPTO, please visit our website at
http://www.uspto.gov.

The Office of the Chief Information Technology (IT) Strategist is
looking for enthusiastic individuals to design new and evaluate
existing interfaces and algorithms for text and image search, and for
text and image classification and comparison. Tasks will include some
combination of designing, programming, usability testing, and report
writing, with an option to write publishable research papers.
Projects include designing and testing algorithms and interfaces for
collaborative search, for integrated faceted classification into
search tools, for automating assignment of faceted classifications to
patent documents as well as to non-patent prior art, for allowing the
public as well as PTO employees to comment on and annotate documents,
and to compare the contents of structured text documents visually and
algorithmically. Students with skills in designing tools for online
social interaction are also encouraged to apply.

Requirements:

- US CITIZENSHIP IS REQUIRED. SOCIAL SECURITY NUMBER IS REQUIRED.

- Applicants MUST be ENROLLED in A GRADUATE PROGRAM/SUBMIT TRANSCRIPT.

- Applicants MUST submit ONE to THREE LETTERS OF RECOMMENDATION.

See link above for more details.

== Biomedical Text mining Position available, CNIO - Madrid, Spain ==

* '''Employer''': Spanish National Cancer Research Center (CNIO)
* '''Rank or Title''': Project associate research position
* '''Specialty''': Biomedical Text mining
* '''Location''': Madrid, Spain
* '''Deadline''': March 01, 2010
* '''Date Posted''': Feb 01, 2010
* '''Contact''': Martin Krallinger - mkrallinger@cnio.es

Description:
The candidate will work within a multidisciplinary team involved in the development and application of biomedical text mining and natural language processing approaches.

The overall aim of this work is to develop and apply text mining and natural language processing technologies to biomedical literature, covering aspects related to automatic text classification using machine learning methods, the detection of entities of biological interest from text and the extraction and ranking of biological relations from the biomedical literature. A special focus will be given to certain topics such as cancer related literature and protein interactions.

Expected outcomes will include fundamental research in biomedical text mining, publications in high-impact journals and development of biomedical text mining applications and services. The resulting strategies will be applied to process article abstracts, full text articles as well as clinical records.

Requirements:
Applicants should possess an MSc (preferably a PhD) in biology, computer science or related areas with specific knowledge in Computer Science, Bioinformatics, Computational Linguistics, Statistics or Machine Learning or Text Mining.

1) Candidates should have the following qualifications:
- Competitive software engineering skills (demonstrable knowledge of at least two programming languages such as python, C/C++, Java, Perl and the development of online web applications).
- A solid background and interest in statistical and machine learning methods
- Ability to develop algorithms and software for natural language processing/text mining systems
- Good English communication skills
- A strong interest in collaborating with experts from the biomedical, molecular biology and bioinformatics domains and text mining.

2) Other desirable skills and selection criteria include:
- Exposure to biomedical texts/domain.
- Familiarity with development of Web Services
- Well organized and have the ability to work in an interdisciplinary team.
- The publication record would be an advantage.
- Familiarity with NLP tasks such as named entity recognition, summarization, information extraction, and information retrieval will
be also highly desirable.
- Familiarity with some of the existing software that might be relevant to the research topic (like Weka, LibSVM, Lucene, GATE, NLTK, or Mallet).
- Interest in the evaluation of systems performance and community challenges.

Organization:
The Spanish National Cancer Centre (CNIO, Madrid, Spain - http://www.cnio.es/ing/index.asp) is one of the few European Cancer Centers to allocate resources to both basic and applied research in an integrated fashion, thus supporting the interaction of basic research programmes with those of molecular diagnostics and drug discovery. All CNIO programmes benefit from excellent equipment, technology, and technical services. The CNIO employs about 500 scientists, it offers excellent work conditions including competitive salary, and world-class computing infrastructure.
The Structural and Computational Biology Programme at CNIO, leaded by Dr. Alfonso Valencia integrates several research groups, including the Computational Biology group, a Bioinformatics support unit and the central node of the Spanish Bioinformatics Institute, a Genome Spain platform. The computational facilities and infrastructure cover all the needs of the research in modern text mining and NLP, computational biology and provides excellent grounds for the analysis of high-throughput genomic data.
The research group contributed significantly to the biomedical text mining research over the past years, from initial work related to the analysis of protein families, microarray data and protein interactions to the development of popular online applications such as the iHOP server or PLAN2L. Recent research efforts also promoted the organization of the BioCreative text-mining challenges, the development of the BioCreative metaserver and the BioCreative II.5 competition. The research group has a well-established international network of collaborations with other text mining groups, bioinformatics and biological database teams and experimental biomedical researches.

Salary:
Between 25,000 and 30,000 Euro / year depending qualifications. Contract for 2-3 years.

Application:
Requests for additional information or formal applications (including Application letters, extensive CV and PhD/MA thesis and the names of at least two references) can be sent to Martin Krallinger: mkrallinger@cnio.es

== Full Professor, Theoretical Computational Linguistics, Potsdam, Germany ==

* '''Employer''': Potsdam
* '''Rank or Title''': Full Professor (W3)
* '''Specialty''': Theoretical Computational Linguistics
* '''Location''': Potsdam, Germany
* '''Deadline''': Feb 20, 2010
* '''Date Posted''': Jan 21, 2010
* '''Contact''': [http://www.ling.uni-potsdam.de] vasishth@uni-potsdam.de

Professorship (W3) in Theoretical Computational Linguistics, University of Potsdam

The University of Potsdam invites applications for the post of full professor in Theoretical Computational Linguistics. Theoretical Computational Linguistics at Potsdam plays an important role in connecting theoretical linguistics, clinical and psycholinguistics and computational linguistics. The ideal candidate will have expertise in one or more of these areas:

* Grammar formalisms and (probabilistic) parsing of natural language
* machine learning techniques for language processing
* computational semantics

Knowledge of symbolic and/or statistical methods and corpus-based methods is presupposed. The research profile of the candidate should fit into the interdisciplinary nature of the Excellence Center for Cognitive Sciences at Potsdam [http://www.uni-potsdam.de/humfak/hum-exzellenzbereich.html]. Participation is expected in the Collaborative Research Project (Sonderforschungsbereich 632), Information Structure: the linguistic means for structuring utterances, sentences and texts [http://www.sfb632.uni-potsdam.de/main.html], and in other projects related to cognitive science. Experience in obtaining third-party funding and an international presence is desirable.

The University of Potsdam is an Equal Opportunity employer and is actively engaged in increasing the proportion of women in research and teaching; qualified women are therefore encouraged to apply. All other things being equal, handicapped candidates will be given preference.

Questions regarding the job opening should be directed to Shravan Vasishth (vasishth@uni-potsdam.de).

Applications should be received by February 20 2010, and should be sent to:
The President, University of Potsdam, Am Neues Palais 10, 14469 Potsdam, Germany

Employment opportunities, postdoctoral positions, summer jobs

2010-11-05T14:49:17Z

ETSOC: /* Senior Research Scientist, Natural Language Processing */

* Please post your job ad below.
* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''.
* '''Please remove your posting when the position is filled.'''
* Please include the following information:
** Employer
** Rank or Title
** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)
** Location
** Deadline
** Date Posted
** Contact email or link to website
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
* Archived postings:
** [[Employment opportunities posted 2009]]
** [[Employment opportunities posted 2008]]
** [[Employment opportunities posted 2007]]

== Associate Research Scientist, Speech==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Associate Research Scientist, Speech
** Specialty: Research
** Location: Princeton, New Jersey, United States, 08540
** Deadline: 12/04/2010
** Date Posted: 11/04/2010
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field.

You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.

Our requirements include:

* Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles
* Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators
* Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics
* Evidence of substantive research experience and/or experience in developing and deploying speech capabilities
* Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system
* Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

== Senior Research Scientist, Natural Language Processing==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Senior Research Scientist, Natural Language Processing
** Specialty: Research
** Location: Princeton, New Jersey, United States, 08540
** Deadline: 12/04/2010
** Date Posted: 11/04/2010
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.

Job Requirements

Our qualifications include:

* A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science
* Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study
* A strong statistical and machine learning background
* Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems
* Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)
* The ability to lead the development of proposals for major research, development, or large-scale NLP projects, obtain financial support for new or continuing research activities and maintain appropriate contact with funding agencies for the development of new research programs and projects
* Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators
* Familiarity with the application of NLP tools to educational problems
* Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97875&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

== Research Scientist/NLP Developer==
*'''Employer''': stealth startup
*'''Rank or Title''': Research Scientist/NLP Developer
*'''Specialty''': NLP, Medical Informatics, Data Scientist
*'''Location''': Menlo Park, CA
*'''Deadline''': Open until filled. Applications reviewed immediately.
*'''Date Posted''': October 22, 2010
*'''Contact''': jchew@oneteamtech.com

As a Research Scientist, you will contribute to the development of algorithms and content for medical web applications and healthcare data processing tools. You will be part of the Informatics research team building intelligent software systems for integrating various types of healthcare data in a research and development environment.

Qualifications & Requirements

* PhD (preferred) or Master's degree in Computer Science, Computational Linguistics, Mathematics or related fields
* Experience with NLP, text processing, text mining, search algorithms, machine learning
* Experience with Medical terminology and data sources (preferred)
* Data mining and analysis of large data sets (preferred)
* Strong analytical and algorithm design abilities
* Experience in Java development
* Excellent communication skills
* Ability to work as a team with scientists, engineers and medical professionals
* Must be an independent self-starter

== Natural Language Processing Expert ==
* '''Employer''': RealHealthData
* '''Rank or Title''': Assistant Professor, Computer Scientist, NLP Expert.
* '''Specialty''': Natural Language Processing
* '''Location''': Santa Cruz, CA (Telecommuting OK)
* '''Deadline''': Open until filled, application review begins immediately.
* '''Date Posted''': October 20, 2010
* '''Contact''': paul.murphy@realhealthdata.com

Throughout 2009, a contract-based NLP expert produced an initial dataset derived from de-identified medical records, which are used to analyze trends and patterns in the medical research field.

During the de-identification and processing phase, metadata such as practice specialty and location was manually included as a reference alongside all documents. Another product that needs optimization in this project is an application that allows the input of additional medical records, in Microsoft Word format, to the main database using the same algorithm as the initial process.

The objective is to identify the weaknesses in the algorithm, which have led to a lower amount of extracted data than should be expected, considering the rich content of documents. Once the algorithm is optimized, it should be run on all documents in our current pool, generating a more complete and updated dataset. The project will conclude once we have a new full dataset, and a C# application fit for seamless input in the future.

Skills:
-3+ years of experience with command of at least one NLP tool, and/or experience with projects involving NLP and Text Mining or developing NLP solutions.
-Knowledge of analytics and data visualization
-Knowledge of spreadsheet-based analysis and reporting
-Experience with programming to implement NLP solutions (C#)
-Knowledge of key NLP techniques, including part-of-text tagging, syntactic parsing, information extraction, etc.

== Assistant Professor, Machine Learning ==
* '''Employer''': The Ohio State University
* '''Rank or Title''': Assistant Professor, Tenure Track
* '''Specialty''': Machine Learning
* '''Location''': Columbus, OH
* '''Deadline''': Open until filled, application review begins November 2010.
* '''Date Posted''': October 6, 2010
* '''Contact''': http://www.cse.ohio-state.edu/department/positions.shtml

The Computer Science & Engineering Department at Ohio State has multiple
assistant professor openings this year, one of which is targeted for
machine learning. Application review will begin in November. More
information can be found at the following site:

http://www.cse.ohio-state.edu/department/positions.shtml

== Scientist/Sr. Scientist, Text Mining Biologist ==
* '''Employer''': Pfizer
* '''Rank or Title''': Scientist/Sr. Scientist, Text Mining Biologist
* '''Specialty''': Text Mining
* '''Location''': South San Francisco, CA
* '''Deadline''': Open until filled
* '''Date Posted''': August 26, 2010
* '''Contact''': http://www.pfizer.com

At Pfizer BioTherapeutics Division, Applied Quantitative Genotherapeutics (AQG) group, we are dedicated to developing and implementing investigative approaches focused on evaluating potential drug candidates and identifying new targets in preclinical models of disease. We use the latest scientific knowledge and apply novel approaches to discover new ways of treating disease. We encourage cooperation and support a high level of scientific freedom to find the best answers to biological questions. Located in South San Francisco, AQG provides the feel of a small start-up company with the resources of a large pharmaceutical company in the heart of the biotech capital of the world.

Responsibilities:

As part of the Applied Quantitative Genotherapeutics group, you will be working with a multi-disciplinary team using both bench biology and computational skills. You will use your understanding of biology and text analytics to partner with, and support project teams and individuals in research, clinical or business units.

You will assist in the specification of tools and methods for accessing, mining, and analyzing biomedical text. You will partner with Pfizer colleagues, publishers, and commercial vendors to evaluate, implement, test, and integrate best-in-class text mining capabilities. You will assist in the creation of custom corpora that can be interrogated by, and integrated with the text mining capabilities described above. You will assist in the evaluation, curation and administration of taxonomies, thesauri, and ontologies in compliance. You will assist in quantifying the quality of text mining capabilities. You will assist with testing, training, and communications related to the text mining capabilities described above, and perform related duties and manage special projects, as needed. This position will be deployed in South San Francisco, but will interact seamlessly with a similar group in Cambridge MA.

Qualifications:

MS or PhD required in the biomedical sciences (or equivalent) and a minimum of 1-3 years experience working in a biotechnology or pharmaceutical organization. Applicants must have knowledge of text mining principles and practices, demonstrated experience in the application of ontologies, taxonomies, and thesauri for text mining purposes, and familiarity with commercial and public biomedical information sources and vendors. Awareness of current and emerging text mining tools and trends, as demonstrated by active participation in professional organizations and in professional development activities, is also desired. Must possess good verbal and written communication skills, as required for communications with colleagues, vendors and project teams. Must be independent and self-motivated, with a propensity to seek out challenges and capitalize on new opportunities.

Please submit resumes for Requisition #942862 to www.pfizer.com

== Research Scientist, Natural Language Processing ==
* '''Employer''': ETS (Educational Testing Service)
* '''Rank or Title''': Research Scientist, Natural Language Processing
* '''Specialty''': Research
* '''Location''': Princeton, New Jersey, United States, 08540
* '''Deadline''': Open until filled
* '''Date Posted''': July 21, 2010
* '''Contact''': [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3BB not for profit organization dedicated to advancing educational excellence and a leader in educational research. Our mission is to advance quality and equity in education as an innovator in developing achievement and occupational tests for clients in business, education and government. ETS Research & Development has an immediate opening for an Associate Research Scientist in the Center for Automated Scoring and Natural Language Processing. This position will be responsible for a mixture of operational and research efforts related to ETS' automated scoring technologies housed in the Automated Scoring and Natural Language Processing group. These technologies include automated essay scoring (e-rater), scoring short answers for correctness of content (c-rater), mathematical equations and plots (m-rater), and scoring the spontaneous speech of English Language Learners (SpeechRater). Responsibilities of the position include but are not limited to: <ul> <li>Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing and disseminating results of research projects in the field of natural language processing (NLP) or portions of large-scale research studies or programs in the same field.</li> <li>Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP analysis and evaluation systems which are used to improve assessments, learning tools and test development practices.</li> <li>Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.</li> <li>Develop and oversee the conduct of selected portions of research proposals and project budgets.</li> <li>Design and conduct complex scientific studies functioning as an expert in major facets of the projects.</li> <li>Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.</li> <li>Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.</li> <li>Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.</li> </ul>

Requirements: <ul> <li>Ph.D. in Natural Language Processing, Computational Linguistics or Computer Science with an emphasis on issues in syntactic and/or semantic analysis of text is desired.</li> <li>Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms and tools would be an asset.</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems required.</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python) is also required.</li> </ul> We offer a competitive salary, a stimulating work environment, attractive growth potential and excellent benefits including medical/dental, flexible spending, 403(b) with company match and more. Please apply directly online to the ETS Careers page at:ETS is an Equal Opportunity, Affirmative Action Employer. [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=91476&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail] [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]

== Programmer Analyst, Linguistic Data Consortium, Philadelphia, PA, USA ==
* '''Employer''': Linguistic Data Consortium, the University of Pennsylvania, USA
* '''Rank or Title''': Programmer Analyst (#100328205)
* '''Specialty''': Corpus Creation, Annotation Tool Development
* '''Location''': Philadelphia, PA, USA
* '''Deadline''': Open until filled
* '''Date Posted''': June 24, 2010
* '''Contact''': Please visit [http://jobs.hr.upenn.edu/applicants/Central?quickFind=191248 application URL]

This position will support LDC's language resource creation projects by providing programming, research and other technical support in a rapid prototyping environment, for multiple concurrent projects with evolving technical requirements. In collaboration with technical managers, non-technical project staff and external researchers, this candidate will assess technical requirements for projects, develop plans for satisfying those needs, and implement technical specifications within stringent deadlines and budget constraints.

For further information or to apply online, visit the application URL above.

This position is contingent upon funding.

Penn offers an excellent benefits package including medical/dental, retirement plans, tuition assistance and a minimum of 3 weeks paid vacation per year.

The University of Pennsylvania does not discriminate on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status or any other legally protected class status in the administration of its admissions, financial aid, educational or athletic programs, or other University-administered programs or in its employment practices. Questions or complaints regarding this policy should be directed to the Executive Director of the Office of Affirmative Action and Equal Opportunity Programs, Sansom Place East, 3600 Chestnut Street, Suite 228, Philadelphia, PA 19104-6106; or (215) 898-6993 (Voice) or (215) 898-7803 (TDD).

== Computational Linguist contracts (Several languages) ==
* '''Employer''': The Lingua Team, LLC
* '''Rank or Title''': Computational linguist
* '''Specialty''': Grammar and syntax in foreign languages
* '''Location''': Redmond, WA, USA
* '''Deadline''': July 30, 2010
* '''Date Posted''': June 15, 2010
* '''Contact''': The Lingua Team website[http://www.thelinguateam.com], or email [mailto:info@thelinguateam.com]

Description: The Lingua team provides linguistic services to IT companies worldwide.

We are looking for computational linguists to describe properties relevant to grammar checking for several language groups: Semitic,
Romance, Slavic, Germanic, and Agglutinative. The actual list of languages includes: Arabic, Brazilian Portuguese, Bulgarian, Czech,
Danish, Dutch, European Portuguese, Finnish, Hebrew, Hungarian, Italian, Norwegian Bokmal, Polish, Romansh, Russian, Swedish, and
Turkish.

These positions require native or near native knowledge of the above languages to describe properties relevant to grammar checking for one or more of these languages.

Required: Degreed
linguist with graduate-level studies with proven experience managing or performing computational linguistic work (syntax, morphology,
lexicography) in several languages. Self-starter, ability to work independently, excellent written communication skills. Work permit
for the USA.

Preferred: Experience writing rules in a formal system, ideally for style or grammar checking applications. Additional
Information: Contract full-time for three months, to be extended for a year depending on ability to meet the job demands. Though the location of this project is Redmond, WA (USA) working from your location after the initial training might be a possibility.

== Government internships (unpaid) in text classification and search ==
* '''Employer''': U.S. Patents and Trademarks Office
* '''Rank or Title''': Student Volunteer
* '''Specialty''': Computer and Information Science
* '''Location''': Alexandria, VA, USA
* '''Deadline''': October 08, 2010
* '''Date Posted''': March 29, 2010
* '''Contact''': [http://is.gd/b616r Listing at USAJOBS.gov]

Description:
The USPTO is responsible for granting U.S. Intellectual Property
Rights for Patents and Trademarks and has been serving the economic
interests of America for more than 200 years. The Office is a heavy
user of text analysis and search tools for both text and images, and
is in the midst of an entire redesign of its Information Technology
system. This internship is an opportunity to make a difference to the
entire U.S. economy by applying your skills in user interface design
and evaluation, text classification algorithm design and evaluation,
and search interface and algorithm design and evaluation. For more
information about the USPTO, please visit our website at
http://www.uspto.gov.

The Office of the Chief Information Technology (IT) Strategist is
looking for enthusiastic individuals to design new and evaluate
existing interfaces and algorithms for text and image search, and for
text and image classification and comparison. Tasks will include some
combination of designing, programming, usability testing, and report
writing, with an option to write publishable research papers.
Projects include designing and testing algorithms and interfaces for
collaborative search, for integrated faceted classification into
search tools, for automating assignment of faceted classifications to
patent documents as well as to non-patent prior art, for allowing the
public as well as PTO employees to comment on and annotate documents,
and to compare the contents of structured text documents visually and
algorithmically. Students with skills in designing tools for online
social interaction are also encouraged to apply.

Requirements:

- US CITIZENSHIP IS REQUIRED. SOCIAL SECURITY NUMBER IS REQUIRED.

- Applicants MUST be ENROLLED in A GRADUATE PROGRAM/SUBMIT TRANSCRIPT.

- Applicants MUST submit ONE to THREE LETTERS OF RECOMMENDATION.

See link above for more details.

== Biomedical Text mining Position available, CNIO - Madrid, Spain ==

* '''Employer''': Spanish National Cancer Research Center (CNIO)
* '''Rank or Title''': Project associate research position
* '''Specialty''': Biomedical Text mining
* '''Location''': Madrid, Spain
* '''Deadline''': March 01, 2010
* '''Date Posted''': Feb 01, 2010
* '''Contact''': Martin Krallinger - mkrallinger@cnio.es

Description:
The candidate will work within a multidisciplinary team involved in the development and application of biomedical text mining and natural language processing approaches.

The overall aim of this work is to develop and apply text mining and natural language processing technologies to biomedical literature, covering aspects related to automatic text classification using machine learning methods, the detection of entities of biological interest from text and the extraction and ranking of biological relations from the biomedical literature. A special focus will be given to certain topics such as cancer related literature and protein interactions.

Expected outcomes will include fundamental research in biomedical text mining, publications in high-impact journals and development of biomedical text mining applications and services. The resulting strategies will be applied to process article abstracts, full text articles as well as clinical records.

Requirements:
Applicants should possess an MSc (preferably a PhD) in biology, computer science or related areas with specific knowledge in Computer Science, Bioinformatics, Computational Linguistics, Statistics or Machine Learning or Text Mining.

1) Candidates should have the following qualifications:
- Competitive software engineering skills (demonstrable knowledge of at least two programming languages such as python, C/C++, Java, Perl and the development of online web applications).
- A solid background and interest in statistical and machine learning methods
- Ability to develop algorithms and software for natural language processing/text mining systems
- Good English communication skills
- A strong interest in collaborating with experts from the biomedical, molecular biology and bioinformatics domains and text mining.

2) Other desirable skills and selection criteria include:
- Exposure to biomedical texts/domain.
- Familiarity with development of Web Services
- Well organized and have the ability to work in an interdisciplinary team.
- The publication record would be an advantage.
- Familiarity with NLP tasks such as named entity recognition, summarization, information extraction, and information retrieval will
be also highly desirable.
- Familiarity with some of the existing software that might be relevant to the research topic (like Weka, LibSVM, Lucene, GATE, NLTK, or Mallet).
- Interest in the evaluation of systems performance and community challenges.

Organization:
The Spanish National Cancer Centre (CNIO, Madrid, Spain - http://www.cnio.es/ing/index.asp) is one of the few European Cancer Centers to allocate resources to both basic and applied research in an integrated fashion, thus supporting the interaction of basic research programmes with those of molecular diagnostics and drug discovery. All CNIO programmes benefit from excellent equipment, technology, and technical services. The CNIO employs about 500 scientists, it offers excellent work conditions including competitive salary, and world-class computing infrastructure.
The Structural and Computational Biology Programme at CNIO, leaded by Dr. Alfonso Valencia integrates several research groups, including the Computational Biology group, a Bioinformatics support unit and the central node of the Spanish Bioinformatics Institute, a Genome Spain platform. The computational facilities and infrastructure cover all the needs of the research in modern text mining and NLP, computational biology and provides excellent grounds for the analysis of high-throughput genomic data.
The research group contributed significantly to the biomedical text mining research over the past years, from initial work related to the analysis of protein families, microarray data and protein interactions to the development of popular online applications such as the iHOP server or PLAN2L. Recent research efforts also promoted the organization of the BioCreative text-mining challenges, the development of the BioCreative metaserver and the BioCreative II.5 competition. The research group has a well-established international network of collaborations with other text mining groups, bioinformatics and biological database teams and experimental biomedical researches.

Salary:
Between 25,000 and 30,000 Euro / year depending qualifications. Contract for 2-3 years.

Application:
Requests for additional information or formal applications (including Application letters, extensive CV and PhD/MA thesis and the names of at least two references) can be sent to Martin Krallinger: mkrallinger@cnio.es

== Full Professor, Theoretical Computational Linguistics, Potsdam, Germany ==

* '''Employer''': Potsdam
* '''Rank or Title''': Full Professor (W3)
* '''Specialty''': Theoretical Computational Linguistics
* '''Location''': Potsdam, Germany
* '''Deadline''': Feb 20, 2010
* '''Date Posted''': Jan 21, 2010
* '''Contact''': [http://www.ling.uni-potsdam.de] vasishth@uni-potsdam.de

Professorship (W3) in Theoretical Computational Linguistics, University of Potsdam

The University of Potsdam invites applications for the post of full professor in Theoretical Computational Linguistics. Theoretical Computational Linguistics at Potsdam plays an important role in connecting theoretical linguistics, clinical and psycholinguistics and computational linguistics. The ideal candidate will have expertise in one or more of these areas:

* Grammar formalisms and (probabilistic) parsing of natural language
* machine learning techniques for language processing
* computational semantics

Knowledge of symbolic and/or statistical methods and corpus-based methods is presupposed. The research profile of the candidate should fit into the interdisciplinary nature of the Excellence Center for Cognitive Sciences at Potsdam [http://www.uni-potsdam.de/humfak/hum-exzellenzbereich.html]. Participation is expected in the Collaborative Research Project (Sonderforschungsbereich 632), Information Structure: the linguistic means for structuring utterances, sentences and texts [http://www.sfb632.uni-potsdam.de/main.html], and in other projects related to cognitive science. Experience in obtaining third-party funding and an international presence is desirable.

The University of Potsdam is an Equal Opportunity employer and is actively engaged in increasing the proportion of women in research and teaching; qualified women are therefore encouraged to apply. All other things being equal, handicapped candidates will be given preference.

Questions regarding the job opening should be directed to Shravan Vasishth (vasishth@uni-potsdam.de).

Applications should be received by February 20 2010, and should be sent to:
The President, University of Potsdam, Am Neues Palais 10, 14469 Potsdam, Germany

Employment opportunities, postdoctoral positions, summer jobs

2010-11-04T21:59:01Z

ETSOC:

* Please post your job ad below.
* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''.
* '''Please remove your posting when the position is filled.'''
* Please include the following information:
** Employer
** Rank or Title
** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)
** Location
** Deadline
** Date Posted
** Contact email or link to website
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
* Archived postings:
** [[Employment opportunities posted 2009]]
** [[Employment opportunities posted 2008]]
** [[Employment opportunities posted 2007]]

== Associate Research Scientist, Speech==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Associate Research Scientist, Speech
** Specialty: Research
** Location: Princeton, New Jersey, United States, 08540
** Deadline: 12/04/2010
** Date Posted: 11/04/2010
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field.

You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.

Our requirements include:

* Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles
* Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators
* Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics
* Evidence of substantive research experience and/or experience in developing and deploying speech capabilities
* Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system
* Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049

== Senior Research Scientist, Natural Language Processing==
** Employer: ETS (Educational Testing Service)
** Rank or Title: Senior Research Scientist, Natural Language Processing
** Specialty: Research
** Location: Princeton, New Jersey, United States, 08540
** Deadline: 12/04/2010
** Date Posted: 11/04/2010
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.
Job Requirements

Our qualifications include:

* A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science
* Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study
* A strong statistical and machine learning background
* Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems
* Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)
* The ability to lead the development of proposals for major research, development, or large-scale NLP projects, obtain financial support for new or continuing research activities and maintain appropriate contact with funding agencies for the development of new research programs and projects
* Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators
* Familiarity with the application of NLP tools to educational problems
* Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97875&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

== Research Scientist/NLP Developer==
*'''Employer''': stealth startup
*'''Rank or Title''': Research Scientist/NLP Developer
*'''Specialty''': NLP, Medical Informatics, Data Scientist
*'''Location''': Menlo Park, CA
*'''Deadline''': Open until filled. Applications reviewed immediately.
*'''Date Posted''': October 22, 2010
*'''Contact''': jchew@oneteamtech.com

As a Research Scientist, you will contribute to the development of algorithms and content for medical web applications and healthcare data processing tools. You will be part of the Informatics research team building intelligent software systems for integrating various types of healthcare data in a research and development environment.

Qualifications & Requirements

* PhD (preferred) or Master's degree in Computer Science, Computational Linguistics, Mathematics or related fields
* Experience with NLP, text processing, text mining, search algorithms, machine learning
* Experience with Medical terminology and data sources (preferred)
* Data mining and analysis of large data sets (preferred)
* Strong analytical and algorithm design abilities
* Experience in Java development
* Excellent communication skills
* Ability to work as a team with scientists, engineers and medical professionals
* Must be an independent self-starter

== Natural Language Processing Expert ==
* '''Employer''': RealHealthData
* '''Rank or Title''': Assistant Professor, Computer Scientist, NLP Expert.
* '''Specialty''': Natural Language Processing
* '''Location''': Santa Cruz, CA (Telecommuting OK)
* '''Deadline''': Open until filled, application review begins immediately.
* '''Date Posted''': October 20, 2010
* '''Contact''': paul.murphy@realhealthdata.com

Throughout 2009, a contract-based NLP expert produced an initial dataset derived from de-identified medical records, which are used to analyze trends and patterns in the medical research field.

During the de-identification and processing phase, metadata such as practice specialty and location was manually included as a reference alongside all documents. Another product that needs optimization in this project is an application that allows the input of additional medical records, in Microsoft Word format, to the main database using the same algorithm as the initial process.

The objective is to identify the weaknesses in the algorithm, which have led to a lower amount of extracted data than should be expected, considering the rich content of documents. Once the algorithm is optimized, it should be run on all documents in our current pool, generating a more complete and updated dataset. The project will conclude once we have a new full dataset, and a C# application fit for seamless input in the future.

Skills:
-3+ years of experience with command of at least one NLP tool, and/or experience with projects involving NLP and Text Mining or developing NLP solutions.
-Knowledge of analytics and data visualization
-Knowledge of spreadsheet-based analysis and reporting
-Experience with programming to implement NLP solutions (C#)
-Knowledge of key NLP techniques, including part-of-text tagging, syntactic parsing, information extraction, etc.

== Assistant Professor, Machine Learning ==
* '''Employer''': The Ohio State University
* '''Rank or Title''': Assistant Professor, Tenure Track
* '''Specialty''': Machine Learning
* '''Location''': Columbus, OH
* '''Deadline''': Open until filled, application review begins November 2010.
* '''Date Posted''': October 6, 2010
* '''Contact''': http://www.cse.ohio-state.edu/department/positions.shtml

The Computer Science & Engineering Department at Ohio State has multiple
assistant professor openings this year, one of which is targeted for
machine learning. Application review will begin in November. More
information can be found at the following site:

http://www.cse.ohio-state.edu/department/positions.shtml

== Scientist/Sr. Scientist, Text Mining Biologist ==
* '''Employer''': Pfizer
* '''Rank or Title''': Scientist/Sr. Scientist, Text Mining Biologist
* '''Specialty''': Text Mining
* '''Location''': South San Francisco, CA
* '''Deadline''': Open until filled
* '''Date Posted''': August 26, 2010
* '''Contact''': http://www.pfizer.com

At Pfizer BioTherapeutics Division, Applied Quantitative Genotherapeutics (AQG) group, we are dedicated to developing and implementing investigative approaches focused on evaluating potential drug candidates and identifying new targets in preclinical models of disease. We use the latest scientific knowledge and apply novel approaches to discover new ways of treating disease. We encourage cooperation and support a high level of scientific freedom to find the best answers to biological questions. Located in South San Francisco, AQG provides the feel of a small start-up company with the resources of a large pharmaceutical company in the heart of the biotech capital of the world.

Responsibilities:

As part of the Applied Quantitative Genotherapeutics group, you will be working with a multi-disciplinary team using both bench biology and computational skills. You will use your understanding of biology and text analytics to partner with, and support project teams and individuals in research, clinical or business units.

You will assist in the specification of tools and methods for accessing, mining, and analyzing biomedical text. You will partner with Pfizer colleagues, publishers, and commercial vendors to evaluate, implement, test, and integrate best-in-class text mining capabilities. You will assist in the creation of custom corpora that can be interrogated by, and integrated with the text mining capabilities described above. You will assist in the evaluation, curation and administration of taxonomies, thesauri, and ontologies in compliance. You will assist in quantifying the quality of text mining capabilities. You will assist with testing, training, and communications related to the text mining capabilities described above, and perform related duties and manage special projects, as needed. This position will be deployed in South San Francisco, but will interact seamlessly with a similar group in Cambridge MA.

Qualifications:

MS or PhD required in the biomedical sciences (or equivalent) and a minimum of 1-3 years experience working in a biotechnology or pharmaceutical organization. Applicants must have knowledge of text mining principles and practices, demonstrated experience in the application of ontologies, taxonomies, and thesauri for text mining purposes, and familiarity with commercial and public biomedical information sources and vendors. Awareness of current and emerging text mining tools and trends, as demonstrated by active participation in professional organizations and in professional development activities, is also desired. Must possess good verbal and written communication skills, as required for communications with colleagues, vendors and project teams. Must be independent and self-motivated, with a propensity to seek out challenges and capitalize on new opportunities.

Please submit resumes for Requisition #942862 to www.pfizer.com

== Research Scientist, Natural Language Processing ==
* '''Employer''': ETS (Educational Testing Service)
* '''Rank or Title''': Research Scientist, Natural Language Processing
* '''Specialty''': Research
* '''Location''': Princeton, New Jersey, United States, 08540
* '''Deadline''': Open until filled
* '''Date Posted''': July 21, 2010
* '''Contact''': [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3BB not for profit organization dedicated to advancing educational excellence and a leader in educational research. Our mission is to advance quality and equity in education as an innovator in developing achievement and occupational tests for clients in business, education and government. ETS Research & Development has an immediate opening for an Associate Research Scientist in the Center for Automated Scoring and Natural Language Processing. This position will be responsible for a mixture of operational and research efforts related to ETS' automated scoring technologies housed in the Automated Scoring and Natural Language Processing group. These technologies include automated essay scoring (e-rater), scoring short answers for correctness of content (c-rater), mathematical equations and plots (m-rater), and scoring the spontaneous speech of English Language Learners (SpeechRater). Responsibilities of the position include but are not limited to: <ul> <li>Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing and disseminating results of research projects in the field of natural language processing (NLP) or portions of large-scale research studies or programs in the same field.</li> <li>Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP analysis and evaluation systems which are used to improve assessments, learning tools and test development practices.</li> <li>Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.</li> <li>Develop and oversee the conduct of selected portions of research proposals and project budgets.</li> <li>Design and conduct complex scientific studies functioning as an expert in major facets of the projects.</li> <li>Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.</li> <li>Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.</li> <li>Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.</li> </ul>

Requirements: <ul> <li>Ph.D. in Natural Language Processing, Computational Linguistics or Computer Science with an emphasis on issues in syntactic and/or semantic analysis of text is desired.</li> <li>Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms and tools would be an asset.</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems required.</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python) is also required.</li> </ul> We offer a competitive salary, a stimulating work environment, attractive growth potential and excellent benefits including medical/dental, flexible spending, 403(b) with company match and more. Please apply directly online to the ETS Careers page at:ETS is an Equal Opportunity, Affirmative Action Employer. [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=91476&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail] [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]

== Programmer Analyst, Linguistic Data Consortium, Philadelphia, PA, USA ==
* '''Employer''': Linguistic Data Consortium, the University of Pennsylvania, USA
* '''Rank or Title''': Programmer Analyst (#100328205)
* '''Specialty''': Corpus Creation, Annotation Tool Development
* '''Location''': Philadelphia, PA, USA
* '''Deadline''': Open until filled
* '''Date Posted''': June 24, 2010
* '''Contact''': Please visit [http://jobs.hr.upenn.edu/applicants/Central?quickFind=191248 application URL]

This position will support LDC's language resource creation projects by providing programming, research and other technical support in a rapid prototyping environment, for multiple concurrent projects with evolving technical requirements. In collaboration with technical managers, non-technical project staff and external researchers, this candidate will assess technical requirements for projects, develop plans for satisfying those needs, and implement technical specifications within stringent deadlines and budget constraints.

For further information or to apply online, visit the application URL above.

This position is contingent upon funding.

Penn offers an excellent benefits package including medical/dental, retirement plans, tuition assistance and a minimum of 3 weeks paid vacation per year.

The University of Pennsylvania does not discriminate on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status or any other legally protected class status in the administration of its admissions, financial aid, educational or athletic programs, or other University-administered programs or in its employment practices. Questions or complaints regarding this policy should be directed to the Executive Director of the Office of Affirmative Action and Equal Opportunity Programs, Sansom Place East, 3600 Chestnut Street, Suite 228, Philadelphia, PA 19104-6106; or (215) 898-6993 (Voice) or (215) 898-7803 (TDD).

== Computational Linguist contracts (Several languages) ==
* '''Employer''': The Lingua Team, LLC
* '''Rank or Title''': Computational linguist
* '''Specialty''': Grammar and syntax in foreign languages
* '''Location''': Redmond, WA, USA
* '''Deadline''': July 30, 2010
* '''Date Posted''': June 15, 2010
* '''Contact''': The Lingua Team website[http://www.thelinguateam.com], or email [mailto:info@thelinguateam.com]

Description: The Lingua team provides linguistic services to IT companies worldwide.

We are looking for computational linguists to describe properties relevant to grammar checking for several language groups: Semitic,
Romance, Slavic, Germanic, and Agglutinative. The actual list of languages includes: Arabic, Brazilian Portuguese, Bulgarian, Czech,
Danish, Dutch, European Portuguese, Finnish, Hebrew, Hungarian, Italian, Norwegian Bokmal, Polish, Romansh, Russian, Swedish, and
Turkish.

These positions require native or near native knowledge of the above languages to describe properties relevant to grammar checking for one or more of these languages.

Required: Degreed
linguist with graduate-level studies with proven experience managing or performing computational linguistic work (syntax, morphology,
lexicography) in several languages. Self-starter, ability to work independently, excellent written communication skills. Work permit
for the USA.

Preferred: Experience writing rules in a formal system, ideally for style or grammar checking applications. Additional
Information: Contract full-time for three months, to be extended for a year depending on ability to meet the job demands. Though the location of this project is Redmond, WA (USA) working from your location after the initial training might be a possibility.

== Government internships (unpaid) in text classification and search ==
* '''Employer''': U.S. Patents and Trademarks Office
* '''Rank or Title''': Student Volunteer
* '''Specialty''': Computer and Information Science
* '''Location''': Alexandria, VA, USA
* '''Deadline''': October 08, 2010
* '''Date Posted''': March 29, 2010
* '''Contact''': [http://is.gd/b616r Listing at USAJOBS.gov]

Description:
The USPTO is responsible for granting U.S. Intellectual Property
Rights for Patents and Trademarks and has been serving the economic
interests of America for more than 200 years. The Office is a heavy
user of text analysis and search tools for both text and images, and
is in the midst of an entire redesign of its Information Technology
system. This internship is an opportunity to make a difference to the
entire U.S. economy by applying your skills in user interface design
and evaluation, text classification algorithm design and evaluation,
and search interface and algorithm design and evaluation. For more
information about the USPTO, please visit our website at
http://www.uspto.gov.

The Office of the Chief Information Technology (IT) Strategist is
looking for enthusiastic individuals to design new and evaluate
existing interfaces and algorithms for text and image search, and for
text and image classification and comparison. Tasks will include some
combination of designing, programming, usability testing, and report
writing, with an option to write publishable research papers.
Projects include designing and testing algorithms and interfaces for
collaborative search, for integrated faceted classification into
search tools, for automating assignment of faceted classifications to
patent documents as well as to non-patent prior art, for allowing the
public as well as PTO employees to comment on and annotate documents,
and to compare the contents of structured text documents visually and
algorithmically. Students with skills in designing tools for online
social interaction are also encouraged to apply.

Requirements:

- US CITIZENSHIP IS REQUIRED. SOCIAL SECURITY NUMBER IS REQUIRED.

- Applicants MUST be ENROLLED in A GRADUATE PROGRAM/SUBMIT TRANSCRIPT.

- Applicants MUST submit ONE to THREE LETTERS OF RECOMMENDATION.

See link above for more details.

== Biomedical Text mining Position available, CNIO - Madrid, Spain ==

* '''Employer''': Spanish National Cancer Research Center (CNIO)
* '''Rank or Title''': Project associate research position
* '''Specialty''': Biomedical Text mining
* '''Location''': Madrid, Spain
* '''Deadline''': March 01, 2010
* '''Date Posted''': Feb 01, 2010
* '''Contact''': Martin Krallinger - mkrallinger@cnio.es

Description:
The candidate will work within a multidisciplinary team involved in the development and application of biomedical text mining and natural language processing approaches.

The overall aim of this work is to develop and apply text mining and natural language processing technologies to biomedical literature, covering aspects related to automatic text classification using machine learning methods, the detection of entities of biological interest from text and the extraction and ranking of biological relations from the biomedical literature. A special focus will be given to certain topics such as cancer related literature and protein interactions.

Expected outcomes will include fundamental research in biomedical text mining, publications in high-impact journals and development of biomedical text mining applications and services. The resulting strategies will be applied to process article abstracts, full text articles as well as clinical records.

Requirements:
Applicants should possess an MSc (preferably a PhD) in biology, computer science or related areas with specific knowledge in Computer Science, Bioinformatics, Computational Linguistics, Statistics or Machine Learning or Text Mining.

1) Candidates should have the following qualifications:
- Competitive software engineering skills (demonstrable knowledge of at least two programming languages such as python, C/C++, Java, Perl and the development of online web applications).
- A solid background and interest in statistical and machine learning methods
- Ability to develop algorithms and software for natural language processing/text mining systems
- Good English communication skills
- A strong interest in collaborating with experts from the biomedical, molecular biology and bioinformatics domains and text mining.

2) Other desirable skills and selection criteria include:
- Exposure to biomedical texts/domain.
- Familiarity with development of Web Services
- Well organized and have the ability to work in an interdisciplinary team.
- The publication record would be an advantage.
- Familiarity with NLP tasks such as named entity recognition, summarization, information extraction, and information retrieval will
be also highly desirable.
- Familiarity with some of the existing software that might be relevant to the research topic (like Weka, LibSVM, Lucene, GATE, NLTK, or Mallet).
- Interest in the evaluation of systems performance and community challenges.

Organization:
The Spanish National Cancer Centre (CNIO, Madrid, Spain - http://www.cnio.es/ing/index.asp) is one of the few European Cancer Centers to allocate resources to both basic and applied research in an integrated fashion, thus supporting the interaction of basic research programmes with those of molecular diagnostics and drug discovery. All CNIO programmes benefit from excellent equipment, technology, and technical services. The CNIO employs about 500 scientists, it offers excellent work conditions including competitive salary, and world-class computing infrastructure.
The Structural and Computational Biology Programme at CNIO, leaded by Dr. Alfonso Valencia integrates several research groups, including the Computational Biology group, a Bioinformatics support unit and the central node of the Spanish Bioinformatics Institute, a Genome Spain platform. The computational facilities and infrastructure cover all the needs of the research in modern text mining and NLP, computational biology and provides excellent grounds for the analysis of high-throughput genomic data.
The research group contributed significantly to the biomedical text mining research over the past years, from initial work related to the analysis of protein families, microarray data and protein interactions to the development of popular online applications such as the iHOP server or PLAN2L. Recent research efforts also promoted the organization of the BioCreative text-mining challenges, the development of the BioCreative metaserver and the BioCreative II.5 competition. The research group has a well-established international network of collaborations with other text mining groups, bioinformatics and biological database teams and experimental biomedical researches.

Salary:
Between 25,000 and 30,000 Euro / year depending qualifications. Contract for 2-3 years.

Application:
Requests for additional information or formal applications (including Application letters, extensive CV and PhD/MA thesis and the names of at least two references) can be sent to Martin Krallinger: mkrallinger@cnio.es

== Full Professor, Theoretical Computational Linguistics, Potsdam, Germany ==

* '''Employer''': Potsdam
* '''Rank or Title''': Full Professor (W3)
* '''Specialty''': Theoretical Computational Linguistics
* '''Location''': Potsdam, Germany
* '''Deadline''': Feb 20, 2010
* '''Date Posted''': Jan 21, 2010
* '''Contact''': [http://www.ling.uni-potsdam.de] vasishth@uni-potsdam.de

Professorship (W3) in Theoretical Computational Linguistics, University of Potsdam

The University of Potsdam invites applications for the post of full professor in Theoretical Computational Linguistics. Theoretical Computational Linguistics at Potsdam plays an important role in connecting theoretical linguistics, clinical and psycholinguistics and computational linguistics. The ideal candidate will have expertise in one or more of these areas:

* Grammar formalisms and (probabilistic) parsing of natural language
* machine learning techniques for language processing
* computational semantics

Knowledge of symbolic and/or statistical methods and corpus-based methods is presupposed. The research profile of the candidate should fit into the interdisciplinary nature of the Excellence Center for Cognitive Sciences at Potsdam [http://www.uni-potsdam.de/humfak/hum-exzellenzbereich.html]. Participation is expected in the Collaborative Research Project (Sonderforschungsbereich 632), Information Structure: the linguistic means for structuring utterances, sentences and texts [http://www.sfb632.uni-potsdam.de/main.html], and in other projects related to cognitive science. Experience in obtaining third-party funding and an international presence is desirable.

The University of Potsdam is an Equal Opportunity employer and is actively engaged in increasing the proportion of women in research and teaching; qualified women are therefore encouraged to apply. All other things being equal, handicapped candidates will be given preference.

Questions regarding the job opening should be directed to Shravan Vasishth (vasishth@uni-potsdam.de).

Applications should be received by February 20 2010, and should be sent to:
The President, University of Potsdam, Am Neues Palais 10, 14469 Potsdam, Germany

Employment opportunities, postdoctoral positions, summer jobs

2010-11-04T19:04:22Z

ETSOC:

Employment opportunities, postdoctoral positions, summer jobs

2010-08-06T14:12:08Z

ETSOC:

Employment opportunities, postdoctoral positions, summer jobs

2010-08-06T14:11:13Z

ETSOC:

Employment opportunities, postdoctoral positions, summer jobs

2010-08-06T14:08:09Z

ETSOC:

Employment opportunities, postdoctoral positions, summer jobs

2010-07-22T17:26:16Z

ETSOC: