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Employment opportunities, postdoctoral positions, summer jobs

2021-05-14T14:00:44Z

Stevenschockaert:

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== Postdoctoral Researcher in Cardiff, UK ==

* Employer: Cardiff University, UK
* Title: Postdoctoral Research Associate
* Specialty: NLP
* Location: Cardiff, UK
* Deadline: 31st May, 2021
* Date posted: 14th May, 2021
* Contact: [mailto:schockaerts1@cardiff.ac.uk Steven Schockaert]

An exciting opportunity has arisen to join the School of Computer Science and Informatics as a Research Associate working on a new project titled ‘Encyclopedic Lexical Representations for Natural Language Processing’. This project is funded by EPSRC and is due to start on 1 August 2021. 

The successful candidate will be dedicated to finding creative solutions and have a genuine curiosity and enthusiasm to undertake world-class research in the field of Natural Language Processing. Specifically, the aim of this post will be to learn vector space embeddings that capture fine-grained knowledge about concepts. Different from existing approaches, these representations will explicitly represent the properties of, and relationships between concepts. Vectors in the proposed framework will thus intuitively play the role of facts, about which we can reason in a principled way. You will work closely with Steven Schockaert and Luis Espinosa Anke. You will possess or be near the completion of a PhD in Computer Science or a related area or have relevant industrial experience.

This is a full-time position for a period of three years. To apply, go to the [http://www.cardiff.ac.uk/jobs Cardiff University jobs pages] and search for vacancy 11424BR.

'''Description of the project:''' 
The field of Natural Language Processing (NLP) has made unprecedented progress over the last decade, but the extent to which NLP systems “understand” language is still remarkably limited. A key underlying problem is the need for a vast amount of world knowledge. In this project, we focus on conceptual knowledge, and more in particular on:

(i) capturing what properties are associated with a given concept (e.g. lions are dangerous, boats can float);
(ii) characterising how different concepts are related (e.g. brooms are used for cleaning, bees produce honey).

Our proposed approach relies on the fact that Wikipedia contains a wealth of such knowledge. Unfortunately, however, important properties and relationships are often not explicitly mentioned in text, especially if they follow straightforwardly from other information for a human reader (e.g. if X is an animal that can fly then X probably has wings). Apart from learning to extract knowledge expressed in text, we thus also have to learn how to reason about conceptual knowledge.

A central question is how conceptual knowledge should be represented and incorporated in language model architectures. Current NLP systems heavily rely on vector representations in which each concept is represented by a single vector. This approach has important theoretical limitations in terms of what knowledge can be captured, and it only allows for shallow forms of reasoning. In contrast, in symbolic AI, conceptual knowledge is typically represented using facts and rules. This enables powerful forms of reasoning, but symbolic representations are harder to learn and to use in neural networks.

The solution we propose relies on a novel hybrid representation framework, which combines the main advantages of vector representations with those of symbolic methods. In particular, we will explicitly represent properties and relationships, as in symbolic frameworks, but these properties and relations will be encoded as vectors. Each concept will thus be associated with several property vectors, while pairs of related concepts will be associated with one or more relation vectors. Our vectors will thus intuitively play the same role that facts play in symbolic frameworks, with associated neural network models then playing the role of rules.

== Postdoctoral Researcher in NLP for healthcare, Vrije Universiteit Brussel (VUB) - imec, Belgium ==

* Employer: [http://www.etrovub.be Electronics and Informatics (ETRO)], at Vrije Universiteit Brussel (VUB) - [https://www.imec-int.com/en/home imec], Belgium
* Title: Postdoctoral Researcher in NLP for healthcare
* Specialty: NLP, Machine Learning
* Location: Brussels
* Deadline: May 09, 2021
* Date posted: April 16, 2021
* Contact: [mailto:ndeligia@etrovub.be ndeligia@etrovub.be]

The department of Electronics and Informatics (ETRO) at Vrije Universiteit Brussel (VUB) and imec in Belgium offers a postdoctoral position in NLP and machine learning.

'''Description of the project:''' 
The successful candidate will work within the frame of a project, funded by the Brussels government, on NLP for healthcare. The project will acquire data from one of the largest hospitals in Brussels (UZ Brussels) and its aim is to perform automated clinical coding and nosocomial outbreak detection. To do so, two important aspects will be investigated: (i) multilingual NLP techniques and (ii) interpretation of NLP models to address tasks such as extreme classification and real-time prediction.

'''Responsibilities:''' 
• Design and implement innovative algorithms within the aforementioned project, 
• Publish the results at top-tier venues in NLP (e.g., ACL) and machine learning (e.g., ICLR), and 
• Supervise junior researchers and support in teaching.

'''Profile and requirements:''' 
• A PhD degree focusing on artificial intelligence, machine learning, and natural language processing or related; 
• An excellent academic record with publications in top-tier scientific journals (e.g., TACL) and conference proceedings (e.g., ACL, EMNLP, AAAI); 
• Proven programming experience (e.g., Python, C++); 
• Fluency in state-of-the-art machine learning frameworks (e.g., Tensorflow, PyTorch); 
• Fluency in English and excellent scientific writing and presentation skills; 
• Ability and will to support teaching and to (co-)supervise bachelor, master and PhD students.

'''What we offer:''' 
• A two-year position which upon positive evaluation can be further extended; 
• A competitive salary (including holiday allowance) and benefits, 
• An international scientific environment driven by excellence in fundamental research, 
• Opportunities for travelling to conferences and research visits to international partner research groups (e.g., at Duke University, UCL)

'''How to apply:''' 
Interested candidates should send:
• a detailed curriculum vitae, 
• a motivation letter related to the position’s profile, 
• electronic copies of three key scientific publications, and 
• the names of two potential referees

to the following contact person: [http://homepages.vub.ac.be/~ndeligia/ Prof. Dr. Nikos Deligiannis] via email at [mailto:ndeligia@etrovub.be ndeligia@etrovub.be] by May 09, 2021.

'''About the team:''' 
The position is within machine learning team at the Department of Electronics and Informatics at Vrije Universiteit Brussel, Belgium. The team is also affiliated with imec, an international R&D and innovation hub in nanoelectronics and digital technologies.

== Ph.D. (funded) & Postdoc Positions in Legal NLP / Legal Tech at Technical University of Munich ==
* Employer: [https://www.in.tum.de/en/cover-page/ Department of Informatics at Technical University of Munich]
* Title: Ph.D. Student / Postdoctoral Associate Position
* Speciality: Legal Natural Language Processing
* Location: Munich, Germany
* Deadline: April 30, 2021
* Date posted: March 31, 2021
* Contact: Matthias Grabmair (matthias.grabmair@tum.de)

The nascent [https://www.in.tum.de/legaltech/home/ TUM Legal Tech working group] at the Technical University of Munich (TUM) Department of Informatics will be hiring one Ph.D. and one Postdoctoral associate to conduct research and development around the application of methods from artificial intelligence, machine learning, data science, natural language processing (NLP), and knowledge engineering towards solving tasks and problems arising in the practice of law and public administration. The main focus of the positions will be research projects in NLP on legal text with a focus on exploring the use of neural network models towards analytical objectives of interest to legal experts by implementing models and rigorously evaluating them (e.g., training sequence classifiers on specialized corpora and analyzing model predictions quantitatively and qualitatively over experimental iterations). Other activities include broader AI&Law research and teaching.

The initial Ph.D. position employment contract will be for one year and, upon satisfactory evaluation, can be extended through to the completion of the PhD (up to a maximum of four years). The Postdoctorate position's duration will be 18 months from the employment start date.

TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. Applications from disabled persons with essentially the same qualifications will be given preference.

'''Qualifications''': Ph.D. Applicants should have an excellent master's degree in a relevant discipline. Postdoc applicants should have a doctorate degree in relevant discipline and strong research record. Suitable academic backgrounds are Computer Science, Computational Linguistics, or related discipline. Applicants should be interested in interdisciplinary work on legal data, have the ability to work fluently with complex domain texts, and be versatile programmers.

'''To apply''': Applicants should submit a one-page statement of purpose explaining their motivation for working at the Legal Tech group and relevant experience statement, a two-page, grade transcripts, and contact information for two references by email (matthias.grabmair@tum.de). Applicants should review the [https://www.in.tum.de/fileadmin/w00bws/legaltech/_my_direct_uploads/PhDPostDoc-Legaltech-TUM.pdf full job posting] before submitting their application.

As part of your application, you provide personal data to the TUM. Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/ . By submitting your application, you confirm to have read and understood the data protection information provided by TUM.

== Postdoctoral Fellow Position in NLP in the Department of Population Health Sciences at Weill Cornell Medicine, New York City ==
* Employer: [https://phs.weill.cornell.edu/ Department of Population Health Sciences at Weill Cornell Medicine]
* Title: Postdoctoral Fellow Position
* Speciality: Biomedical Natural Language Processing
* Location: New York City, USA
* Deadline: Open until filled
* Date posted: 24 March 2021
* Contact: Yifan Peng (yip4002@med.cornell.edu)

A postdoctoral fellow position is available in Dr. Yifan Peng's [https://penglab.weill.cornell.edu/ laboratory] in the Department of Population Health Sciences at Weill Cornell Medicine, starting Fall2021. Our laboratory is primarily interested in developing and applying computational approaches to biomedical text data and medical images. Our research has focused on biomedical text mining (e.g., BlueBERT, NegBio, LitVar), medical image analysis (e.g., NIH Chest X-ray, DeepSeeNet), and their combination (e.g., TieNet). The successful applicant will work on an NIH-funded project. The goal of this research project is to use the radiology-specific ontology, NLP, image analysis, and DL to construct a radiology-specific knowledge graph.

'''Qualifications''': Applicants must have trained with a strong emphasis on text mining. Preference will be given to individuals with expertise in big data/modeling and those with a strong interest in healthcare or life sciences. The position is open to graduating Ph.D. or M.D./Ph.D. students in Computer Science, Bioinformatics, Health informatics, or a related discipline. Current postdoctoral fellows with less than three years of postdoctoral experience are also welcomed.

Appointments are initially for two years. The positions can be extended for one or two additional years at the end of the first year based on performance. Stipends are commensurate with research experience and education.

'''To apply''': Please submit a CV and a one-page research statement to Dr. Yifan Peng (yip4002@med.cornell.edu). Shortlisted candidates will have an online interview.

Cornell University's Weill Cornell Medicine is located in Manhattan, New York, immediately adjacent to the Sloan Kettering Institute and Rockefeller University, and as such offers the exposure to a dynamic and vibrant scientific environment that provides unique and unparalleled research training opportunities, including seminars given by scientific leaders from throughout the world, exposure to diverse research programs, highly sophisticated core facilities, grant writing workshops, career exploration events, and professional development workshops. Weill Cornell Medicine provides subsidized housing for eligible Postdocs.

Weill Cornell Medicine is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women and minorities.

Additional information can be found at https://phs.weill.cornell.edu/about-us/career-opportunities/postdoctoral-fellow-position-biomedical-or-clinical-nlp

== Postdoctoral opportunity in Natural Language Processing at DTU, Copenhagen, Denmark, in collaboration with NaCTeM, UK ==
*Employer: Novo Nordisk Foundation, Center for Biosustainability, Technical University of Denmark (DTU) in Copenhagen
*Title: Postdoctoral Researcher
*Speciality: NLP, neural information extracttion
*Location: DTU, Copenhagen
*Deadline: 2nd April January 2021
*Date posted: 12th March 2021
*Contact: Evelyn Travnik [mailto:etravnik@biosustain.dtu.dk] and Prof. Sophia Ananiadou [mailto:Sophia.ananiadou@manchester.ac.uk]

We seek a full-time postdoctoral researcher in NLP, working in the Novo Nordisk Foundation, Center for Biosustainability, Technical University of Denmark (DTU) in Copenhagen. The researcher will join a multi-disciplinary team with diverse specialties in computational biology, data engineering, software development and natural language processing to further research and development into a new state-of-the-art informatics platform.

Tasks will include:
* Developing new algorithms for relation extraction and summarisation (extractive, abstractive), using (semi)-supervised and unsupervised techniques, transfer learning and distant supervision from the scientific literature
* Evaluating and improving the performance of NLP models and validate the accuracy of extracted knowledge
* Working closely with a software engineering team to translate best-performing techniques into production
* Supporting and leading graduate and undergraduate students, as well as summer interns in NLP

Although the position is located at DTU Biosustain, the NLP research will be mentored by Associate Scientific Director, Prof. Sophia Ananiadou. Sophia is also the Director of the National Text Mining Centre (NaCTeM), Department of Computer Science at The University of Manchester, UK. The successful candidates will benefit from the vibrant research environments of both DTU Biosustain and NaCTeM.

Contract Duration: Fixed term until 31st December 2023

For further information and to apply, please visit: https://www.biosustain.dtu.dk/about/job/job?id=7b488eab-b7f8-45fc-bc88-bf1d81f631ba

== Research Fellow in Machine Learning, Natural Language Processing and Speech Processing, University of Southampton, United Kingdom ==
* Employer: University of Southampton
* Title: Research Fellow in Machine Learning, Natural Language Processing and Speech Processing
* Specialty: NLP, Machine Learning
* Location: Southampton, United Kingdom
* Deadline: 2nd April 2021
* Date posted: 9th March 2021
* Contact: Dr Stuart E. Middleton sem03@soton.ac.uk

2x Full Time Fixed Term (2 years)

The roles will be part of the UKRI Trustworthy Autonomous Systems Hub (TAS Hub). The Hub is led by the University of Southampton with partners from the University of Nottingham and King’s College London. TAS Hub is the focal point of the £33m UKRI Trustworthy Autonomous Systems programme (for more details see www.tas.ac.uk)

You will undertake independent research as well as working as part of a team - this will include using approaches or methodologies and techniques appropriate to the type of research, and being responsible for writing up your work in order to contribute to published outcomes. There will be the opportunity to use creativity to identify areas for research, develop research methods and extend your research portfolio.

As the research will need to generalise across more than one application domain (e.g., healthcare, autonomous vehicles, IoT, etc..) this offers the opportunity to collaborate with partners from across the TAS Hub and the wider TAS programme (i.e., the 60+ TAS hub industrial partners and the TAS Nodes) and undertake an industry placements for periods of up to 12 months.

To take advantage of these opportunities you will have a PhD or equivalent professional qualifications and experience in one of the following areas:- Machine Learning, Natural Language processing, and Speech Processing. As work will need to be carried out in a multi-disciplinary setting involving experts and researchers from fields such as healthcare, law, engineering, business, and policy - it is important that you are able to communicate research outputs in a way that is understandable and useful to researchers from diverse disciplines.

The candidates will have experience in Machine Learning (with applications to computer vision, speech or signal processing), Reinforcement Learning, and Natural Language Processing to develop and evaluate a range of autonomous systems for challenging real-world applications. Experience in evaluative methods such as user studies and surveys, and a demonstrable interest in autonomous systems would be a welcome addition.

A strong track record of good publications at international venues (ACL, AAAI, IJCAI, AIJ, JAIR, ICML, ICLR, AAMAS, NeurIPS) is desirable.

The posts are full time fixed term for up to 2 years. The posts are due to start in June or July 2021

Applications for Research Fellow positions will be considered from candidates who are within six months of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.

Details and application forms at: [https://www.jobs.ac.uk/job/CEP524/research-fellow-in-machine-learning-natural-language-processing-and-speech-processing?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic link]

== Associate, Applied AI/ML, JPMorgan Chase & Co., New York, NY / Columbus, OH ==
* Employer: JPMorgan Chase & Co., New York, NY / Columbus, OH
* Title: Associate, Applied AI/ML
* Specialty: Natural Language Processing, Machine Learning
* Location: New York, NY or Columbus, OH
* Deadline: Ongoing
* Date posted: February 12, 2021
* Contact: [mailto:brian.croy@jpmchase.com brian.croy@jpmchase.com]

We are an intellectually diverse team of economists, statisticians, engineers, and other analytics professionals, focused on quantitative modeling within Chase at JPMorgan Chase & Co. The team answers complex and unique questions, utilizing cutting edge quantitative and computational techniques and leveraging one of the world’s largest repositories of consumer data. We work closely with our partners throughout JPMorgan Chase to assess and execute critical business decisions.

Apply here: https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210075689/

== Vice President, Applied AI/ML, JPMorgan Chase & Co., New York, NY / Columbus, OH ==
* Employer: JPMorgan Chase & Co., New York, NY / Columbus, OH
* Title: Vice President, Applied AI/ML
* Specialty: Natural Language Processing, Machine Learning
* Location: New York, NY or Columbus, OH
* Deadline: Ongoing
* Date posted: February 3, 2021
* Contact: [mailto:brian.croy@jpmchase.com brian.croy@jpmchase.com]

We are an intellectually diverse team of economists, statisticians, engineers, and other analytics professionals, focused on quantitative modeling within Chase at JPMorgan Chase & Co. The team answers complex and unique questions, utilizing cutting edge quantitative and computational techniques and leveraging one of the world’s largest repositories of consumer data. We work closely with our partners throughout JPMorgan Chase to assess and execute critical business decisions.

Apply here: https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210055497/

== Research Fellow position in NLP, National Centre for Text Mining, University of Manchester, UK ==
* Employer: National Centre for Text Mining, University of Manchester, UK
* Title: Research Fellow
* Specialty: Natural Language Processing, Text Mining
* Location: Manchester, UK
* Deadline: February 15, 2021
* Date posted: February 2, 2021
* Contact: [mailto:Sophia.ananiadou@manchester.ac.uk Sophia.ananiadou@manchester.ac.uk]

We invite applications for a postdoctoral Research Fellow in Natural Language Processing, available as soon as possible for 36 months. The Fellow will work on the H2020 EPHOR (https://www.ephor-project.eu), part of the European Human Exposome Network (https://www.humanexposome.eu/). You will develop new algorithms for information extraction, using (semi)-supervised and unsupervised techniques, transfer learning, distant supervision, applied in the area of exposome for a healthy working life. Based at the University of Manchester, Department of Computer Science, you will join a consortium of 19 partners in 12 countries and the research environment of the National Centre for Text Mining. You will be part of an exceptional consortium of exposure, health and data scientists and technology partners with the aim to advance occupational health science in a unique way to reduce the burden of disease.

The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women's careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. All appointments will be made on merit. For further information, please visit: http://www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athena-swan/.

Blended working arrangements may be considered.

*Salary: £41,526 to £45,361 per annum according to relevant experience
*Employment type: Fixed Term
*Hours per week: Full time
*Contract Duration: Fixed term from as soon as possible for 36 Months

For further details and to apply, please visit: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=19657.

== '''PhD Student in Computational Linguistics, Heinrich Heine University, Duesseldorf, Germany''' ==
*Department of Language and Information, Heinrich-Heine-University Duesseldorf, Germany: http://www.isi.hhu.de/
*Program in Semantics (Lehrstuhl Semantik)
*Application deadline: '''March 1, 2021''' (for best consideration, later applications may also be considered)
*Application address: filip@hhu.de (subject line “PhD student application”)

A fully funded PhD position for the duration of 3 years.

'''Requirements''': The successful candidate will have an M.A. or a B.A. degree in linguistics or computational linguistics. Desirable qualifications include one or more of the following areas: semantics and/or pragmatics, experience with computational modelling of linguistic data or empirical research (experimental, corpus-based) into linguistic meaning. Knowledge of German is not required.

Application documents:
*a short cover letter
*curriculum vitae
*copy of an M.A., a B.A., or a comparable degree diploma
*copies of degree transcripts
*two representative writings
*the names and email addresses of at least two potential referees

All the application documents (apart from the letters of recommendation) should be submitted by email in a single PDF file to: filip@hhu.de. Subject line: “PhD student application”.

Contact Information:
*Prof. Hana Filip
*filip@hhu.de

== '''Postdoc Fellow in Computational Linguistics, Heinrich Heine University, Duesseldorf, Germany''' ==
*Department of Language and Information, Heinrich-Heine-University Duesseldorf, Germany: http://www.isi.hhu.de/
*Program in Semantics (Lehrstuhl Semantik)
*Application deadline: '''March 1, 2021''' (for best consideration, later applications may also be considered)
*Application address: filip@hhu.de (subject line “Postdoc Computational Linguistics”)

1-year full-time postdoc research position in Computational Linguistics (German salary scale 100% 13 TV-L), to begin April 1, 2021, a later starting date is negotiable. The initial appointment is for 1 year, with a possibility of an extension for up to 3 years.

The successful candidate is expected to conduct research in the domain of computational linguistics, and specifically in the areas that concern natural language meaning, participate in the preparation of grant proposals, as well as to advise students in the area of computational linguistics and related fields. Knowledge of German is not required.

'''Requirements:'''
*Completed Ph.D. degree (or an equivalent degree) in Computational Linguistics by the time of application.
*Desirable expertise should include one or more of the following: recurrent neural networks for language models, distributional semantic modeling in vector spaces, probabilistic approaches to NLP, experience in experimental methodology.

The application should be submitted electronically in one .pdf file and include
*a short cover letter
*a full CV including a complete list of publications
*a brief statement of research experience and plans (1-2 pages)
*links to papers, writing samples, or electronic versions thereof
*the names and email addresses of at least two potential referees

Contact Information:
*Prof. Hana Filip
*Email: filip@hhu.de

== Assistant Professor in Computational Language Science AI, University of Florida Department of Linguistics==
*Employer: University of Florida, Department of Linguistics
*Title: Assistant Professor
*Specialty: Computational Language Science AI
*Location: Gainesville, FL
*Deadline: Feb 1, 2021 (for best consideration)
*Date posted: Jan 17, 2021
*Start date: Aug 16, 2021
*Apply here: https://apply.interfolio.com/83028
*Contact: Dr. Stephanie Wulff [mailto:swulff@ufl.edu]

The University of Florida invites applications for a tenure-track appointment in computational language science at the rank of Assistant Professor, effective August 16, 2021. This is a 9-month, tenure accruing 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 any aspect of language from a computational perspective. Specializations include but are not limited to Computational Linguistics, Sociolinguistics, Neuro/Psycholinguistics, Corpus Linguistics, Computational Semantics, and/or Language Documentation. UF has recently committed to a university-wide artificial intelligence initiative along with a major super-computing collaboration with NVIDIA (ai.ufl.edu). Thus, we particularly encourage applications from candidates whose research explores artificial intelligence, natural language processing, or computational algorithms, as well as their societal implications. The latter may include issues of equity, bias, accountability, transparency, or inclusivity. The Department of Linguistics seeks to train the next generation of linguists who are comfortable integrating computational approaches into their research in revealing and societally responsible ways. 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, 5) contribute to UF’s Artificial Intelligence initiative to train graduates for an AI-enabled world, and 6) seek collaborations within the department as well as with other units on campus such as the UF Data Science and Information Technology Center, the Center for Big Learning, the UF Informatics Institute, or the McKnight Brain Institute.

== Postdoc position on ERC-funded grant Incorporating Demographic Factors into Natural Language Processing Models ==
*Employer: Bocconi University, Milan, Italy
*Title: Postdoctoral Researcher
*Speciality: NLP, bias, demographic factors
*Starting date: March 1 2021, or any time thereafter
*Duration: 2 years, 1 year extension possible
*Deadline: 8th Febuary 2021
*Salary: 42k EUR p.a. (median salary Milan: 37k EUR) Applicants from outside Italy may qualify for a researcher taxation scheme
*Date posted: 8th January 2021
*Contact: <[mailto:dirk.hovy@unibocconi.it Dirk Hovy]> ([http://www.dirkhovy.com/ website])

The goal of the INTEGRATOR project is to develop novel data sets, theories, and algorithms to incorporate demographic factors into language technology. Successful candidates will work actively on novel directions in NLP, machine learning, and neural networks for representation learning, natural language understanding and generation in various languages, and collaborate closely with Dirk Hovy as well as the MilaNLP lab.

Successful candidates will have to prove:
*Knowledge of current neural network models and implementation tools for neural networks (e.g. PyTorch, Tensorflow, Keras, etc.)
*Experience with publications in top-tier venues in the field of NLP/Computational Linguistics.
*Fluency in spoken and written English. Knowledge of Italian is NOT a requirement.

HOW TO APPLY:

[https://www.unibocconi.eu/wps/wcm/connect/cc48e97d-616a-458c-a580-ee93f9b8b7b1/BANDO+ADR+BIDSA+ing.pdf?MOD=AJPERES&CVID=nrr-hFS Job ad]

The official application must be sent to Faculty and Research Division of Bocconi University (addressing the Rector) via email to <[mailto:recruiting-adr@unibocconi.it recruiting-adr@unibocconi.it]>
Candidates should attach publications and a cover letter to their application.
Skype interviews will take place during February 2021.

== Postdoctoral opportunity in Natural Language Processing at DTU, Copenhagen, Denmark, in collaboration with NaCTeM, UK ==
*Employer: Novo Nordisk Foundation, Center for Biosustainability, Technical University of Denmark (DTU) in Copenhagen
*Title: Postdoctoral Researcher
*Speciality: NLP, neural information extracttion
*Location: DTU, Copenhagen
*Deadline: 8th January 2021
*Date posted: 20th December 2020
*Contact: Evelyn Travnik [mailto:etravnik@biosustain.dtu.dk] and Prof. Sophia Ananiadou [mailto:Sophia.ananiadou@manchester.ac.uk]

We seek a full-time postdoctoral researcher in NLP, working in the Novo Nordisk Foundation, Center for Biosustainability, Technical University of Denmark (DTU) in Copenhagen. The researcher will join a multi-disciplinary team with diverse specialties in computational biology, data engineering, software development, and natural language processing to further research and development into a new state-of-the-art informatics platform.

The key responsibilities of the researcher include development and evaluation of neural information extraction methods applied to biosciences; supporting knowledge enrichment of analysis results via natural language generation; working closely with a software engineering team to translate best-performing NLP techniques into production and co-supervision of students in NLP.

Although the position is located at DTU Biosustain, the NLP research will be supervised by Prof. S. Ananiadou, National Centre for Text Mining (NaCTeM), The University of Manchester, UK.
For further information about the project, skills, and further particulars, please visit https://tinyurl.com/y6wrgmsl

== NLP Research Internship at Adobe Research, remote (US, UK, Australia, Canada, France, Germany, India, Japan, Romania, South Korea, Spain, and Switzerland) ==
*Employer: Adobe Research
*Title: Research Scientist Intern
*Speciality: NLP, search, dialog, joint NLP+computer vision
*Location: For 2021, all internships will be remote and available in the following countries only: US, UK, Australia, Canada, France, Germany, India, Japan, Romania, South Korea, Spain, and Switzerland (interns will be advised by Adobe researchers based in the US).
*Deadline: Applications will be accepted until all positions are filled.
*Date posted: November 17, 2020
*Contact: Franck Dernoncourt <[mailto:franck.dernoncourt@adobe.com franck.dernoncourt@adobe.com]> ([https://scholar.google.com/citations?hl=en&user=kz2aIc8AAAAJ&view_op=list_works&sortby=pubdate Google Scholar])

We are looking for PhD students with background in NLP, search, dialog, or joint NLP+computer vision for a spring/summer/autumn, ~13-week research 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). You can view our NLP publications on https://research.adobe.com/publications/?a=natural-language-processing&y We published over 10 papers at EMNLP 2020 and findings of EMNLP 2020.

== Postdoctoral position @ MPI Leipzig, DE ==

* Employer: Research Group Language Cycles, Max Planck Institute for Human Cognitive and Brain Sciences
* Title: Postdoctoral Researcher
* Specialty: Natural Language Processing, Time-Series Analysis
* Location: Leipzig, DE
* Deadline: December 31, 2020
* Date posted: November 12, 2020
* Contact: lmeyer@cbs.mpg.de

Our group (www.languagecycles.com) investigates how periodic electrophysiological activity of the human brain constrains our ability to understand language—and how this may have shaped human languages cross-linguistically. We link behavioral psycholinguistics, experimental neurolinguistics, and corpus linguistics.

The host institution is equipped with a system of compute servers and clusters, as well as access to the central high-performance computing facilities of the Max Planck Society. a 306-channel MEG system, several EEG systems, TMS, tDCS, two 3-T MRI scanners, a 7.0-T MRI scanner, and a SIEMENS Skyra Connectom high-field MRI scanner as available for neuroscientific research.

The successful candidate will investigate the relationship between spectral and temporal properties of human electrophysiology and statistical properties of human languages. To this end, the candidate shall devise innovative ways to link classical natural language processing (e.g., parsing, chunking) with time-series analysis (e.g., autocorrelation, Fourier analysis). The researcher is also expected to actively participate in the supervision of the group’s students. The position also encourages collaborative research within the Institute’s broad research portfolio (i.e., four departments as well as a line of junior research groups).

Applicants must hold a doctoral degree in computational linguistics, linguistic typology, data science, or an adjacent field. Prior international publications in renowned journals are desired. We expect profound experience with annotated linguistic corpora, natural language processing, information theory, and artificial intelligence (e.g. machine learning). The ideal candidate will be versed in time– and frequency-domain time-series analysis and be fluent in Python™, MATLAB® and R.

The start date of the position should be no later than 1st March 2021. The duration of the post is 2 years, with the possibility of an extension for up to three years. Remuneration is based on the pay scale of the Max Planck Society.

The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. International applicants are strongly encouraged to apply.

To apply, please submit a cover letter, your curriculum vitae, a motivational statement referring to all aspects of this call, contact information of two referees, academic certificates, and three prior publications that illustrate suitability. Please apply online via http://www.cbs.mpg.de/vacancies/open-positions (subject heading: “PD 9/20).

== One Postdoctoral Research position at the University of Colorado at Boulder ==

* Employer: Institute for Cognitive Science, University of Colorado at Boulder
* Title: Research Associate
* Specialty: Natural Language Processing
* Location: Boulder, CO, USA
* Deadline: December 1, 2020
* Date posted: November 11, 2020
* Contact: [mailto: Katharina Kann, <katharina.kann@colorado.edu>

The University of Colorado Boulder encourages applicants for a postdoctoral researcher position on natural language processing (NLP) technologies for AI-augmented learning. You will work with the natural language understanding and dialog management subgroups of the newly established AI Research Institute for Student-AI Teaming, a 5-year, $20 million research collaboration.

The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.

The goal of the AI institute is to reframe the role of Artificial Intelligence in education, moving towards a future where AI is viewed as a social, collaborative partner that helps students work and learn more effectively, engagingly, and equitably, while helping educators focus on what they do best: inspiring and teaching students. The Institute will develop, deploy, and study AI Partners that interact naturally with students and teachers through speech, gesture, gaze, and facial expression in real-world classrooms and remote learning settings. The AI Partners will observe, participate in, and support small groups of students to engage in deep and sustained learning conversations while assisting teachers in orchestrating effective learning experiences at the individual, small group, and whole-class levels.

The successful applicant will develop machine learning algorithms for natural language understanding and dialog management.

The candidate will be supervised by Katharina Kann and Alessandro Roncone. The position offers unique postdoctoral training experience and publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop advanced technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, and develop leadership skills by mentoring students.

1-5 year position. The initial contract is for one year (providing renewal after a 6-month probationary period). For each consecutive year, the extension of the contract is based on performance.

The start date is negotiable but anticipated for early 2021.

Job Application site: https://jobs.colorado.edu/jobs/JobDetail/Research-Associate/27241

== Two Research Associate positions in NLP, National Centre for Text Mining, University of Manchester, UK ==
* Employer: National Centre for Text Mining, University of Manchester, UK
* Title: Research Associate
* Specialty: Natural Language Processing
* Location: Manchester, UK
* Deadline: October 29, 2020
* Date posted: September 29, 2020
* Contact: [mailto:Sophia.ananiadou@manchester.ac.uk Sophia.ananiadou@manchester.ac.uk]

The University of Manchester invites applications for two postdoctoral Research Associates in NLP. The posts are available immediately until the end of July 2022. The posts aim to conduct fundamental research in neural NLP (information extraction and summarisation) and they will be hosted at the National Centre for Text Mining (http://www.nactem.ac.uk) located at the Manchester Institute of Biotechnology (http://www.mib.ac.uk).

You will join the National Centre for Text Mining (NaCTeM), a leading centre in text mining led by Professor Sophia Ananiadou. You should have a strong background in neural Natural Language Processing and excellent programming skills.

SALARY - £32,816 to £40,322 per annum, depending on relevant experience
CLOSING DATE - 29/10/2020
FURTHER DETAILS AND APPLICATION FORM - https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=19112

== Teaching and Research Position in Computational Linguistics at the University of Tübingen, Germany ==
* Employer: Division of General and Computational Linguistics, University of Tübingen, Germany
* Title: Research Scientist (Wissenschaftlicher Mitarbeiter)
* Specialty: Data-driven approaches to computational linguistics, Computational semantics; Computational lexicography
* Location: Tübingen, Germany
* Deadline: October 15, 2020
* Date posted: September 16, 2020
* Contact: [mailto:acl-jobs@sfs.uni-tuebingen.de acl-jobs@sfs.uni-tuebingen.de]

The Division of General and Computational Linguistics in the Department of Linguistics at the University of Tübingen, Germany is searching for a Computational Linguist whose research experience complements existing strengths in the department. While computational linguists working in any subarea of the field are encouraged to apply, preference will be given to candidates who specialize in one or more of the following areas:
* data-driven approaches to computational linguistics (esp. machine learning);
* computational semantics;
* computational lexicography

Knowledge of German is highly desirable. Duties for this post include teaching (with English as the language of instruction), independent research and participation in externally-funded, on-going research projects. Further information about the department can be found at https://uni-tuebingen.de/en/133894

The starting date for the position is November 1, 2020. The initial period of appointment is for two years, with the possibility of renewal for another two-year term.

The position is at the rank of "Wissenschaftlicher Mitarbeiter" (qualification: Ph.D. preferred; M.Sc., M.A. or equivalent required). Salary will be according to the German Salary System TV-L 13, 100%.

Applications should include CV, an outline of research experience/interests, as well as contact data of at least two references.

Applications should be sent by October 15, 2020 to:

[mailto:acl-jobs@sfs.uni-tuebingen.de acl-jobs@sfs.uni-tuebingen.de]

The University of Tübingen wishes to increase the proportion of women in research and teaching, and encourages qualified female researchers to apply. Individuals with disabilities are also strongly encouraged to apply and will be given preferential consideration when their qualifications are equivalent to those of other applicants.

== Postdoctoral Researcher in Natural Language Processing and Information Extraction, University of Southampton, United Kingdom ==
* Employer: University of Southampton
* Title: Research Fellow in Natural Language Processing and Information Extraction
* Specialty: NLP, Information Extraction
* Location: Southampton, United Kingdom
* Deadline: 17th December 2020
* Date posted: 17th November 2020
* Contact: Dr Stuart E. Middleton sem03@soton.ac.uk

'''Project Background'''

You will join our team working on deep learning-based language models for information extraction and data rescue in the GloSAT (Global Surface Air Temperature) research project. The post will be in the Agents, Interaction and Complexity (AIC) group, which is part of the department of Electronics and Computer Science (ECS) at the University of Southampton. The AIC group leads a number of nationally important research centres including the Trustworthy Autonomous System Research Hub (tas.ac.uk) and the UKRI MINDS Centre for Doctoral Training (mindscdt.ai).

The GloSAT project (www.glosat.org) is addressing uncertainties of climate change models using a combination of data rescue from historical documents to improve climate measurement data records, and improved climate change models making use of these improved records. An important aspect of data rescue is information extraction from typed and handwritten historical ship and land measurement station logbooks. Existing initiatives (www.weatherrescue.org) use crowdsourced volunteers to manually enter data tables for thousands of scanned images of measurement log book pages. This approach does not scale to the millions of scanned images of logbook pages waiting to be processed, but it does provide an excellent ground truth for an annotated training corpus.

'''Role'''

Your role will be to explore deep learning-based natural language models for information extraction leading to advances in column classification, relation extraction and knowledge-base population of tabular corpora. Identified domain context such as measurement type will be used for abnormality detection to improve the quality of the final measurement records. Tools for automated document layout analysis and optical character recognition have been developed within GloSAT to process millions of scanned images of logbook pages and generate a corpus of spatially annotated textual table components suitable for language modelling.

You will work in the context of a research partnership between the University of Southampton and UK research institutions including the National Oceanography Centre (NOC) and UK Met Office. To be successful you will have a PhD+++ in natural language processing, artificial intelligence or a closely related subject and have experience of information extraction. In addition to research, an important part of the role is to interact with project partners, and to become familiar with the environmental science domain.

'''Appointment'''

The appointment is full time fixed term until 31/01/2023.

The department of Electronics and Computer Science is the leading university department of its kind in the UK, with an international reputation for world-leading research across computer science, electronics, and electrical engineering. Research takes place in a multidisciplinary, collaborative environment and draws on our outstanding facilities. With over 550 researchers from many different subject backgrounds, the research culture in ECS is fast-changing and dynamic. Our internationally renowned teaching and research have been ranked among the highest in the UK.

For informal enquiries before submitting your application, contact Dr Stuart E. Middleton sem03@soton.ac.uk

At the University of Southampton, we value diversity and equality.

+++ Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification.

'''Further Details and Application'''

Details and application forms at: https://jobs.soton.ac.uk/Vacancy.aspx?ref=1288620FP-R

== Industry-related Postdoc in Natural Language Processing at the Media Technology Center of ETH Zurich ==
* Employer: [https://mtc.ethz.ch/ Media Technology Center], ETH Zurich, Switzerland
* Title: Postdoctoral Researcher
* Specialty: NLP, Machine Translation
* Location: Zurich, Switzerland
* Deadline: applications currently accepted and reviewed on a rolling basis
* Date posted: August 27, 2020
* Contact: [mailto:severin.klingler@inf.ethz.ch Mr. Severin Klingler]

The ETH Media Technology Center is a place where you will work at the intersection of research and industry applications. Together with our industry partners, we are building the media technologies of tomorrow. To achieve this, the center provides a platform to work on technological innovations at the intersection of media technology, digital journalism, and design. To join our interdisciplinary team, we offer a position as a Postdoctoral Researcher in Natural Language Processing.

'''Project background'''

Together with our industry partner, we are currently exploring how we can make recent advances in NLP accessible to the Swiss media. Most models in natural language processing (NLP) show the best performance for English since, traditionally, research questions are addressed first for English texts. Besides, most available data sets are in English. This has led to a considerable performance gap between NLP methods for English and other languages. The media landscape of Switzerland offers a unique opportunity to advance the state-of-the-art in multilingual NLP research: Despite its small size, Switzerland has four official national languages and a variety of strong dialects that are used in written and oral communication.

'''Job descritpion'''

You will be responsible for 1-2 applied research projects with a clear focus on the potential impact for our industry partners. You will be developing new algorithms and systems as well as adapting the state-of-the-art to the specific challenges of our partners. In dialogue with our industry partners, you will develop novel methods that have a direct impact on the (Swiss) media industry. For this, you will be working closely together with research engineers that will implement your research into software prototypes. Many of the projects at the center are interdisciplinary and lie at the intersection of machine learning, computer vision, and natural language processing. You will be working on projects such as multilingual text summarization for news articles or automatic post-editing of machine-translated text to adapt it for journalistic purposes. Projects have clear deliverables and milestones and are decided upon by the media technology center's steering committee.

'''Your profile'''
* Must hold Ph.D. in computer science or related fields (e.g., electrical engineering, computational science)
* Proven track record in natural language processing (publications in conference venues such as ACL, EMNLP, NeurIPS, ICML, ICLR)
* Interest in working on applied research projects at the intersection between academia and industry.
* Proficiency in written and verbal communication in English.
* Speaking one of the national languages of Switzerland is a plus: German, French, Italian, Romansh.

'''Interested?'''
* Apply online on ETH Jobs portal: https://jobs.ethz.ch/job/view/JOPG_ethz_EgH7KpIva0HtUxknz7
* A complete application includes:
** a Cover letter: a short (one page or less) statement of your research interests and your motivation for joining the center
** CV and publication list
** University degree(s)
* Applications will be reviewed on a rolling basis
* Further information about the Media Technology Center can be found on our website, [https://mtc.ethz.ch/ mtc.ethz.ch]. For more information about the position, contact Dr. Severin Klingler by e-mail [mailto:severin.klingler@inf.ethz.ch severin.klingler@inf.ethz.ch] (no applications).

== Open-Rank (Asst/Assoc/Full) Research Scientist in Machine Learning and Natural Language Processing, Global Security Initiative, Arizona State University ==
* Employer: [https://globalsecurity.asu.edu/ Global Security Initiative], Arizona State University
* Title: (Asst/Assoc/Full) Research Scientist
* Specialty: NLP, Machine Learning, Text Mining
* Location: Tempe, Arizona, USA
* Deadline: applications currently accepted and reviewed on a rolling basis; after 31 August 2020 applications accepted into a reserve pool
* Date posted: May 14, 2020
* Contact: [mailto:aimee.r.hill@asu.edu Ms. Aimee Hill]

The Global Security Initiative at Arizona State University is an interdisciplinary hub facilitating research on wicked problems affecting national security. In an effort to develop theories, methods and tools to address the national security risks associated with narrative, disinformation and strategic influence, the GSI seeks to expand its research team with a research scientist well-versed in computational linguistics, data analysis and/or machine learning. Initially, the primary project this position will focus on is an Office of Naval Research funded effort studying adversarial framing in the information environment. The ultimate goal is an automated, unsupervised means of detecting framing and correctly categorizing the instances of framing.

Long-term, the role of the Research Scientist position is to identify research opportunities and pursue research efforts that develop scientific tools to allow analysts and decision-makers to dynamically analyze discourse in mainstream and social media; and also interact with other research teams to integrate these results into analyses of the information environment, including a real-time modeling and also simulation environments.

Essential duties:
* Conduct independent research under minimal supervision
* Development of natural language processing functions and tools
* Build and nurture relationships with relevant government agencies, industry representatives, and philanthropic organizations, as well as across the university

Qualifications:
* Ph.D. in Computational Linguistics or related field with emphasis on text understanding, natural language semantics, Natural Language Processing concurrent discourse relations, and probabilistic graph models.
* Experience in performing one or more of the following tasks: narrative identification and analysis; framing analysis; parsing, semantic role labeling, and extraction of semantic triples; event detection in text streams; concept-based text clustering; machine reading and classification
* Ability to develop data visualization and interpret findings creatively in a variety of formats
* Demonstrated ability to work closely across an array of interdisciplinary teams and organizations
* Excellent verbal and written communication skills in English
* Experience with mentorship and management of graduate students
* Evidence of ability to secure external research funding and execute projects for mission-oriented sponsors

Application Instructions
* Apply via Interfolio: https://apply.interfolio.com/76127
* A complete application includes:
** a cover letter
** CV
** summary of relevant past work (two pages maximum)
** a one-page statement of potential research interests
** the names and contact information of three professional references
* Emailed applications will not be accepted.
* Applications will be reviewed on a rolling basis; after August 31, 2020, applications will continue to be accepted for a reserve pool. Applications in the reserve pool may then be reviewed in the order in which they were received until the position is filled.

== Associate Research Scientist in Machine Learning and Natural Language Processing, UKP Lab, Computer Science Department, 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: August 15, 2020
* Date posted: July 20, 2020
* 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 several openings for an
Associate Research Scientist (PostDoc- or PhD-level; for an initial term of two to three years, depending on the project)

We are looking to strengthen our group’s profile in different areas of Machine Learning and Natural Language Processing (NLP). Potential topics include but are not limited to:
* human-in-the-loop machine learning and interactive NLP,
* cross-lingual, multi-modal and low-resource NLP,
* NLP for healthcare related to COVID-19, such as domain-specific question answering, evidence mining, or information verification,
* NLP to combat misinformation such as fake news or conspiracy theories,
* conversational AI.

In addition, we welcome applications of individuals interested in research-oriented infrastructure projects. In particular, we perform research and development in:
* AI-based solutions for peer-reviewing,
* machine learning for computational lexicography.

UKP Lab is a high-profile research group comprising over thirty team members who work on various aspects of data-driven NLP and machine learning.
Their novel applications in various domains extend to mining scientific literature or social media, and AI for Social Good in general.

We are looking for applications from candidates in Computer Science with a specialization in Machine Learning, Natural Language Processing or Text Mining. Prior experience with neural network architectures, reinforcement learning and other relevant areas of NLP and Machine Learning are a plus. Demonstrable engagement in open source projects, strong programming skills and communication skills in English are highly appreciated.

UKP Lab (cf. https://www.informatik.tu-darmstadt.de) provides a highly agile, diverse and supportive research environment. The lab has a wide cooperation network with both leading academic and industrial professionals in NLP and Machine Learning. The Department of Computer Science of the TU Darmstadt is regularly ranked among the top ones in respective rankings of the German universities. Its unique profile around AI (cf. https://www.ai-da.tu-darmstadt.de) and information processing (cf. https://www.informatik.tu-darmstadt.de/aiphes) emphasizes NLP, machine learning and their great potential for the industry and society at large. UKP Lab is committed to cutting-edge research, publishing in top-tier venues, cooperative work style and close interaction of all team members. The selected candidates enjoy diverse opportunities for professional growth, leading to successful faculty careers or exciting industrial employments. Darmstadt is very close to the Frankfurt airport and provides an excellent living environment for incoming staff members.

The position assumes you will be eligible for moving to Darmstadt or a nearby German location by the end of 2020. It is currently not possible to provide remote employment opportunities that would allow you to work from another country.

To apply, please provide a detailed CV, a motivation letter and an outline of previous work or research experience along with the names of up to three referees (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 August 15th, 2020: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. Applications arriving after the deadline will still be considered until the position is filled.

== PhD position at the Norwegian Computing Center ==
* Employer: [http://www.nr.no Norwegian Computing Center], Norway
* Title: PhD Research Fellow
* Specialty: Dialogue modelling, human-robot interaction
* Location: Oslo, Norway
* Deadline: August 16, 2020
* Date posted: July 9, 2020
* Contact: [mailto:plison@nr.no Pierre Lison]

We offer a fully-funded PhD position at the Norwegian Computing Center (NR) in Oslo, Norway.

The position is associated with the [http://graphdial.nr.no GraphDial] project funded by the Research Council of Norway. The goal of GraphDial is to advance the state of the art in dialogue management and human-robot interaction by investigating the use of *graphs* to represent the dialogue state. The project brings together researchers from the field of spoken dialogue systems, statistical relational learning, graph neural networks and human–robot interaction. Don't miss this opportunity if you are interested in conversational AI!

The position is fully-funded, with a fellowship period of 3 years. The candidate will be employed at the Norwegian Computing Center, but will be simultaneously affiliated to the PhD programme of the Department of Informatics at the University of Oslo, where the final PhD degree will be awarded.

'''We offer''': a competitive salary combined with attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities.

'''Requirements''': Applicants must hold a Master’s degree or equivalent in NLP or Artificial Intelligence or in Computer Science with a specialization in NLP/AI, with minimum grade B (ECTS grading scale) or equivalent. Fluent oral and written communication skills in English are required.

To know more about the position, see [https://jobbnorge.no/en/available-jobs/job/190408/phd-research-fellow-in-natural-language-processing].

Application deadline: August 16.

Feel free to contact [mailto:plison@nr.no us] for any questions regarding this position.

== PhD position at the University of Oslo ==
* Employer: [http://www.uio.no University of Oslo], Norway
* Title: PhD Research Fellow
* Specialty: Natural Language Processing, Data Privacy
* Location: Oslo, Norway
* Deadline: August 15, 2020
* Date posted: June 25, 2020
* Contact: [mailto:plison@nr.no Pierre Lison]

We have one fully-funded PhD position at the Language Technology Group, University of Oslo. The position is funded by the [http://cleanup.nr.no CLEANUP project] funded by the Research Council of Norway.

CLEANUP is an exciting research project at the intersection of natural language processing and data privacy and aims to develop a range of new machine learning methods to automatically anonymise (or at least strongly de-identify) text documents such as electronic patient records, court rulings or chat-based interactions with customers.

The project brings together researchers from machine learning, natural language processing, computational privacy, statistical modelling, health informatics and IT law. In addition, partners from the Norwegian public and private sector (covering the fields of healthcare, welfare, banking, insurance and legal publishing) will contribute to the project with their data and domain knowledge.

The position is located within the Language Technology Group (LTG) at the Department of Informatics, University of Oslo. LTG conducts research on a range of NLP topics like semantic parsing, distributional semantics, sentiment analysis, clinical NLP, and more. While the research profile of the group is heavily machine-learning oriented, our projects typically combines data-driven approaches with an interest for linguistic analysis and insight. The group has access to excellent HPC infrastructure.

'''We offer''': a competitive salary combined with attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities.

'''Requirements:''' Applicants must hold a Master’s degree or equivalent in NLP or in Computer Science with a specialization in NLP, with minimum grade B (ECTS grading scale) or equivalent. Fluent oral and written communication skills in English are required. Working knowledge of Norwegian is also recommended, as the project will mainly work on Norwegian documents. Candidates that do not currently speak Norwegian or a related Scandinavian language can nevertheless apply if they are willing to learn Norwegian promptly upon arrival in Norway.

The full advert for the PhD position can be found at:
[https://www.jobbnorge.no/en/available-jobs/job/189315/phd-research-fellowship-in-natural-language-processing]

Feel free to contact us for any questions regarding this position.

== PostDoctoral Position at the University of Alberta ==
* Employer: [http://www.ualberta.ca University of Alberta], Edmonton, Alberta, Canada
* Title: Postdoctoral Fellow Position
* Specialty: NLP, Language modeling, language acquisition, multilingualism, deep learning
* Location: Edmonton, AB, Canada
* Deadline: July 30, 2020
* Date posted: June 22, 2020
* Contact: [mailto:demmanse@ualberta.ca Carrie Demmans Epp]

The Department of Computing Science at the University of Alberta seeks exceptional candidates for a post-doctoral appointment to be held jointly in the Fyshe and EdTeKLA research groups. The appointment will initially be for a one-year term and will be renewable for an additional year subject to availability of funding and satisfactory performance. The post-doctoral appointee will work on activities related to the computational modeling stream of a large collaborative grant that aims to better understand the language development and literacy.

The person filling this position will work with Alona Fyshe and Carrie Demmans Epp on projects concerning models of the second language acquisition. Research may include:

*language modeling,
*deep learning, including training large models using GPUs
*possible analysis of neuro-imaging data (e.g., fMRI or EEG).

Candidates must have demonstrated expertise in machine learning and natural language processing (NLP). Backgrounds in cognitive psychology, language acquisition, bilingual language, and literacy, among others, are advantageous. We are especially interested in exceptional candidates who transcend traditional disciplinary boundaries and complement our existing strengths. Preference will be given to those who are interested in collaborating on research projects with other members of the grant who have backgrounds in linguistics, psychology, and education.

In addition to English, proficiency in one of the below languages or language families will be considered an asset
*Algonquin languages (e.g., Cree)
*Arabic
*Chinese
*Farsi
*French

The [http://www.cs.ualberta.ca Department of Computing Science ] is home to nearly 50 tenured and tenure-track faculty members and over 200 graduate students in its PhD and thesis-based MSc programs. Its faculty members have ties to the Faculty of Education and they participate in national and international research networks as well as cross-discipline institutes within the university.

[http://www.ualberta.ca The University of Alberta] ranks consistently within Canada’s five best medical/doctoral universities. Over 31,000 undergraduate students, 7,600 graduate students, and 600 postdoctoral fellows are part of the university’s exceptional learning and research environment. Edmonton (http://www.edmonton.ca), Alberta’s capital, offers a rich array of cultural, professional, sports, and entrepreneurial activities, with easy access to Canada’s Rocky Mountains, and its public elementary and secondary schools provide high-quality education.

Edmonton is also home to [http://amii.ca The Alberta Machine Intelligence Institute] (amii), which is part of the CIFAR $125M Pan-Canadian AI Strategy. Amii has attracted an extremely strong cohort of professors, post-docs and graduate students, and enhanced what was already a very strong machine learning community in Edmonton. Successful candidates will become members of amii, and will be able to take advantage of amii events and resources.

Please submit a cover letter, CV, one-page research statement, and 2-5 references to [mailto:demmanse@ualberta.ca Carrie Demmans Epp]. We are looking for someone to start as soon as possible. The review of applications will begin on June 22 and will continue until a suitable candidate is found; in order to ensure full consideration, applications must be completed by July 30.

The University of Alberta is committed to an equitable, diverse, and an inclusive workforce. We welcome applications from all qualified persons. We encourage women; First Nations, Métis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; and all those who may contribute to the further diversification of ideas and the University to apply.

== Summer internship in language technology, Austrian Research Institute for Artificial Intelligence, Vienna ==
* Employer: [http://ofai.at Austrian Research Institute for Artificial Intelligence], Vienna
* Title: Student intern
* Specialty: Language technology, computer-assisted translation
* Location: Vienna, Austria
* Deadline: June 15, 2020
* Date posted: June 2, 2020
* Contact: [mailto:tristan.miller@ofai.at tristan.miller@ofai.at]

The Language and Interaction Technologies Group of the Austrian Research Institute for Artificial Intelligence (OFAI) in Vienna is seeking a student intern for programming tasks in the field of natural language processing.

The successful applicant will be responsible for helping to program the front and back ends of an interactive, graphical tool for computer-assisted translation of creative language. The work will be carried out in close cooperation with the project leader, within the framework of the FWF-funded project Computational Pun-derstanding: https://punderstanding.ofai.at/

The position is a fixed-term one-month contract for 20 hours per week, with the possibility to extend the contract for additional months, subject to project requirements and satisfactory job performance. Remuneration will be in accordance with the standard student assistant salary for FWF projects: https://www.fwf.ac.at/en/research-funding/personnel-costs/

'''Requirements:''' Applicants must demonstrate:

* Good knowledge of English and German
* Good programming skills in Java (or less preferably in Python)
* Permission to work in Austria
* Interest in linguistics, language technology, and/or natural language processing

Previous experience in developing graphical user interfaces is a big plus.

'''Application procedure:''' Applications, including a cover letter and a CV detailing previous academic work and programming experience, should be submitted via e-mail to Tristan Miller: [mailto:tristan.miller@ofai.at tristan.miller@ofai.at]

Applications should be submitted by 15 June 2020. Applications received after this deadline will be considered if the position remains unfilled.

== Multiple PhD positions in deep learning for natural language understanding at Idiap, Switzerland ==
* Employer: Idiap Research Institute, [http://www.idiap.ch/en/scientific-research/natural-language-understanding Natural Language Understanding group]
* Title: Multiple PhD positions
* Speciality: Natural Language Understanding, Machine Learning
* Location: Martigny, Switzerland
* Deadline: 31 May, 2020
* Date posted: 8 May, 2020
* Contact: James Henderson (james.henderson@idiap.ch)

'''Multiple PhD positions'''

The [http://www.idiap.ch/en Idiap Research Institute] seeks qualified candidates for multiple PhD student positions in the area of deep learning methods for natural language understanding, to work with Dr. James Henderson in the [https://www.idiap.ch/en/scientific-research/natural-language-understanding Natural Language Understanding group]. For more details, please see the announcements [https://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710292%27%7D here] and [https://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710290%27%7D here].

Idiap offers competitive salaries, a beautiful location, and a world-class AI research community. PhD students are registered at EPFL, Switzerland. Some of these positions are to work on the Swiss center of excellence (NCCR) project: Evolving Language.

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

All questions related to these positions should be sent to Dr. James Henderson (james.henderson@idiap.ch).

Please apply online either [https://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710292%27%7D here] or [https://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710290%27%7D here].

== Postdoctoral position in deep learning for natural language understanding at Idiap, Switzerland ==
* Employer: Idiap Research Institute, [http://www.idiap.ch/en/scientific-research/natural-language-understanding Natural Language Understanding group]
* Title: Postdoctoral researcher
* Speciality: Natural Language Understanding, Machine Learning
* Location: Martigny, Switzerland
* Deadline: 31 May, 2020
* Date posted: 8 May, 2020
* Contact: James Henderson (james.henderson@idiap.ch)

'''Postdoctoral position'''

The [http://www.idiap.ch/en Idiap Research Institute] seeks qualified candidates for a Postdoctoral researcher position in the area of deep learning methods for natural language understanding, to work with Dr. James Henderson in the [https://www.idiap.ch/en/scientific-research/natural-language-understanding Natural Language Understanding group]. This position is to work on the Swiss center of excellence (NCCR) project: Evolving Language. For more details, please see the [https://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710291%27%7D announcement here].

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

All questions related to these positions should be sent to Dr. James Henderson (james.henderson@idiap.ch).

Please apply online [https://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710291%27%7D here].

== Postdoc in NLP, ITU Copenhagen (Denmark) ==
* Employer: Department of Computer Science, IT University of Copenhagen, Denmark
* Specialty: Natural language processing / Machine learning
* Location: Copenhagen, Denmark
* Deadline: 12 June 2020, at 23:59 CEST.
* Contact: [mailto:ld@itu.dk Leon Derczynski]
* Date posted: May 1st 2020
* Start Date: August 1st 2020

The IT University of Copenhagen invites applications for a postdoc position to research cross-domain and cross-language transfer methods for natural language processing. The ClinRead project at ITU Copenhagen, funded by the Novo Nordisk Foundation, needs a full time post-doctoral researcher in natural language processing starting 1 August 2020 latest. The position is funded for 12 months, with possible extension. 100% of the time is allocated to research activities.
The project application domain is information extract over patient notes in clinical journals. This provides the scope to do basic research in transfer learning for NLP. More details are here: https://nlp.itu.dk/2019/12/13/clinread-understanding-clinical-notes-for-new-languages-novo-nordisk-foundation-grant-for-leon-derczynski/
The project is led by Dr. Leon Strømberg-Derczynski, who is an Assistant Professor in Computer Science at ITU.

'''Candidate'''

* You must either: (a) hold a PhD in a discipline related to natural language processing; or (b) have an expected PhD award date (with evidence) before 31 January 2021, with all PhD documents submitted before 31 October 2020.
* You need to have published academic publications in natural language processing.
* Excellent written and spoken English language skills are required.
* Applications from both industry and academia are welcome.
* The project works with Danish data, so excellent proficiency in Danish is beneficial.

'''Working in Copenhagen'''
Copenhagen has a strong educational system, a rich cultural life, universal healthcare, good childcare, and well-functioning infrastructure. Living and working in Copenhagen will be a good
experience for you and your family.

'''General information'''
The IT University of Copenhagen is a teaching and research university concerned with information technology (IT) and the opportunities it offers. The IT University has more than 160 full-time academics. Research and teaching in information technology spans all academic activities which involve computers including computer science, information and media sciences, humanities and social sciences, business impact and the commercialization of IT.
Questions about the positions can be directed to Assistant Professor, Leon Strømberg-Derczynski, IT University of Copenhagen, leod@itu.dk.

'''Salary'''
Appointment and salary will be in accordance with the Ministry of Finance’s agreement with the Danish Confederation of Professional Associations (AC).

'''Application procedure'''
You can only apply for this position through our e-recruitment system. Apply by pushing the button "Apply for position" in the job announcement on our website: http://en.itu.dk/About-ITU/Vacancies.
The IT University uses tests in connection with the recruitment process.

* Application deadline: '''12 June 2020, at 23:59 CEST.'''

The IT University invites all qualified researchers regardless of age, gender, religious affiliation or ethnic background to apply for the positions.

Apply here: [https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181159&DepartmentId=3439&MediaId=5]

== Postdoctoral Researcher, University of Memphis (USA) ==
* Employer: Institute for Intelligent Systems, University of Memphis, USA
* Specialty: Cognitive Science with an emphasis on language, learning, and/or AI
* Location: Memphis, TN USA
* Deadline: open until filled
* Contact: [mailto:aolney@memphis.edu Andrew Olney]
* Date posted: March 5th 2020
* Start Date: May 1st 2020

The Institute for Intelligent Systems at The University of Memphis invites applications for a postdoctoral researcher. The 12-month position will start in May 2020 pending the availability of funds. Candidates must have a Ph.D. in hand by May 2020 and must have a compelling record of research success and potential.

The successful candidate will complement interdisciplinary research at the IIS in one or more of the following focus areas: learning, language, and artificial intelligence. Candidates are encouraged to work on their own research agenda but may join existing projects. Mentoring will be provided based on research focus. Candidates from minority and underrepresented groups are highly encouraged to apply. Salary is competitive and commensurate with qualifications and experience.

Please submit a letter detailing current research interests, a curriculum vitae, three representative publications, and email addresses for three professional references on-line at https://workforum.memphis.edu. For all other inquiries please contact Andrew Olney, aolney@memphis.edu. Review of applications will begin on March 1, 2020.

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.

== Two Research Fellows in Natural Language Processing, Artificial Intelligence Research Centre, Japan ==
* Employer: Artificial Intelligence Research Centre, Japan and the National Centre for Text Mining, UK
* Specialty: Natural Language Processing, Information Extraction, Knowledge Discovery
* Location: Tokyo, Japan
* Deadline: 31st March 2020
* Contact: [mailto:Sophia.ananiadou@manchester.ac.uk Sophia Ananiadou]
* Date posted: March 4th 2020
* Start Date: ASAP

The Artificial Intelligence Research Centre, Japan and the National Centre for Text Mining (UK) invite applications for two Research Fellows in Natural Language Processing. This is an exciting opportunity for two ambitious researchers to work on a major interdisciplinary project on Cancer, funded by the Japan Agency for Medical Research and Development. The posts aim to promote novel research into information extraction and knowledge discovery for immunotherapy for cancer mechanisms. The two fellows will work together and will also collaborate with NLP researchers both in Japan and in the UK, as well as with data scientists and medical practitioners in Japan.

Although the posts will be located in AIRC, Japan (https://www.airc.aist.go.jp/en/intro/), the NLP research will be carried out in collaboration with the National Centre for Text Mining (NaCTeM) (http://www.nactem.ac.uk), Department of Computer Science at The University of Manchester. The successful candidates will benefit from the vibrant research environments of both AIRC and NaCTeM.

'''Essential skills''': candidates should have a PhD in Computer Science with an emphasis on Natural Language Processing/Machine Learning. They should have excellent knowledge of neural network architectures for NLP, information extraction (relation and event extraction) at scale, unsupervised learning or distant learning. Good programming skills (Perl, Python or other scripting languages) are highly desirable. Candidates should have a proven publication track record in high quality venues (e.g. ACL, EMNLP, AAAI, NAACL, etc.). Fluency in English is a must. They should have good written skills in English, be able to communicate with the partners of the consortium and work independently to meet deadlines.

Applicants should send a detailed CV, including a list of publications, a covering letter indicating their expertise for this project and the names of three referees, to Professor Sophia Ananiadou (sophia.ananiadou@manchester.ac.uk).

Interviews will be held during the first week of April 2020, with the aim of starting the project as soon as possible.

'''Salary''': ~6M yen to 9M yen per year (£43K to £65K), depending on experience.

'''Duration of posts''': 3 years.

== Postdoc in Computational Neurolinguistics, University of Georgia (USA) ==
* Employer: Department of Linguistics, University of Georgia, Athens GA USA
* Specialty: Natural Language Processing, Human Neuroimaging, Cognitive Science
* Location: Athens, Georgia USA
* Deadline: open until filled
* Contact: [https://linguistics.uga.edu/directory/people/john-hale John Hale]
* Date posted: March 2nd 2020
* Start Date: August 1st 2020

Duties include using tools and techniques from computational linguistics to analyze neural signals across languages. The successful candidate will work closely with partners in [https://sites.lsa.umich.edu/cnllab/ Michigan], at [http://www.paris-neuroscience.fr/en/centre-de-recherche/neurospin Neurospin], [https://www.inria.fr/en/centre/paris INRIA] and the [https://www.cbs.mpg.de/en MPI]. Apply at [https://www.ugajobsearch.com/postings/83958 https://www.ugajobsearch.com/postings/83958]

== Postdoctoral Researcher in NLP for healthcare, Vrije Universiteit Brussel (VUB) - imec, Belgium ==

* Employer: [http://www.etrovub.be Electronics and Informatics (ETRO)], at Vrije Universiteit Brussel (VUB) - [https://www.imec-int.com/en/home imec], Belgium
* Title: Postdoctoral Researcher in NLP for healthcare
* Specialty: NLP, Machine Learning
* Location: Brussels
* Deadline: March 29, 2020
* Date posted: February 25, 2020
* Contact: [mailto:ndeligia@etrovub.be ndeligia@etrovub.be]

The department of Electronics and Informatics (ETRO) at Vrije Universiteit Brussel (VUB) and imec in Belgium offers a postdoctoral position in NLP and machine learning.

'''Description of the project:''' 
The successful candidate will work within the frame of a project, funded by the Brussels government, on NLP for healthcare. The project will acquire data from one of the largest hospitals in Brussels (UZ Brussels) and its aim is to perform automated clinical coding and nosocomial outbreak detection. To do so, two important aspects will be investigated: (i) multilingual NLP techniques and (ii) interpretation of NLP models to address tasks such as extreme classification and real-time prediction.

'''Responsibilities:''' 
• Design and implement innovative algorithms within the aforementioned project, 
• Publish the results at top-tier venues in NLP (e.g., ACL) and machine learning (e.g., ICLR), and 
• Supervise junior researchers and support in teaching.

'''Profile and requirements:''' 
• A PhD degree focusing on artificial intelligence, machine learning, and natural language processing or related; 
• An excellent academic record with publications in top-tier scientific journals (e.g., TACL) and conference proceedings (e.g., ACL, EMNLP, AAAI); 
• Proven programming experience (e.g., Python, C++); 
• Fluency in state-of-the-art machine learning frameworks (e.g., Tensorflow, PyTorch); 
• Fluency in English and excellent scientific writing and presentation skills; 
• Ability and will to support teaching and to (co-)supervise bachelor, master and PhD students.

'''What we offer:''' 
• A two-year position which upon positive evaluation can be further extended; 
• A competitive salary (including holiday allowance) and benefits, 
• An international scientific environment driven by excellence in fundamental research, 
• Opportunities for travelling to conferences and research visits to international partner research groups (e.g., at Duke University, UCL)

'''How to apply:''' 
Interested candidates should send:
• a detailed curriculum vitae, 
• a motivation letter related to the position’s profile, 
• electronic copies of three key scientific publications, and 
• the names of two potential referees

to the following contact person: [http://homepages.vub.ac.be/~ndeligia/ Prof. Dr. Nikolaos Deligiannis] via email at [mailto:ndeligia@etrovub.be ndeligia@etrovub.be] by March 29, 2020.

'''About the team:''' 
The position is within Big Data team at the Department of Electronics and Informatics at Vrije Universiteit Brussel, Belgium. The team is also affiliated with imec, an international R&D and innovation hub in nanoelectronics and digital technologies.

== Permanent research position in language technology at the Norwegian Computing Center, Oslo, Norway ==

* Employer: [https://www.nr.no Norwegian Computing Center (NR)], Oslo, Norway
* Title: Research Scientist
* Specialty: Language Technology, NLP, Machine Learning
* Location: Oslo, Norway
* Deadline: February 23, 2020
* Date posted: February 1, 2020
* Contact: [mailto:pierre.lison@nr.no pierre.lison@nr.no]

We have a vacancy for a permanent research position in language technology at the Norwegian Computing Center (NR) in Oslo, Norway. We seek candidates with broad expertise in the field of NLP and the ability to work on different types of R&D projects. The position will be associated with the SAMBA research department, which currently has 45 researchers.

The researcher will be expected to participate in several research projects. In particular, we have recently initiated a large interdisciplinary research project on anonymization of textual data in collaboration with legal scholars, data security experts and researchers in health informatics. We also conduct research on spoken dialogue systems, human-robot interaction, multilingual language resources and information extraction on large amounts of texts. We also work closely with the University of Oslo, and many of our research projects are carried out in collaboration with various research groups in Norway and internationally.

You must be interested in applied research in language technology and machine learning. The applicant must hold a doctorate in language technology or computational linguistics, or a master degree combined several years of research experience. In addition, you must have good programming skills and the ability to work both independently and in teams.

Applicants must be fluent in English, both verbally and in writing. Knowledge of Norwegian or another Scandinavian language is an advantage, as several of our research projects focus on Norwegian text data. Experience in securing funding for R&D projects is also appreciated.

For more information, please visit [https://www.finn.no/job/fulltime/ad.html?finnkode=169049472 the application website] (in Norwegian).

'''We offer''': 
We offer a 100% permanent position, good salary conditions, pension and insurance schemes, flexible working hours, 5 weeks of holiday in addition to paid leave during Christmas and Easter, and our own staff canteen. Good training and development opportunities in an inspiring work environment together with colleagues in language technology, machine learning, statistical modelling and image analysis.

The Norwegian Computing Center is located in Kristen Nygaard's house at the Research Park at Blindern in Oslo. Negotiable starting date. We look forward to hearing from you.

'''About us''': 
Norsk Regnesentral (NR) is an independent, non-profit and non-profit private foundation that conducts contract research for business and public enterprises both in Norway and internationally. Our core research areas are statistical modelling, machine learning, artificial intelligence and ICT. Our clients are business and public administration, the EU and the Research Council of Norway.

The institute has 85 employees and is one of Europe's largest research institute within applied statistics. Major applications are petroleum, finance and insurance, earth observation, climate and environment, fisheries and aquaculture, health, image analysis and artificial intelligence. Research in ICT include cybersecurity, smart sensors, e-inclusion and universal design.

== PostDoc or PhD in Secure and Robust Natural Language Processing, UKP Lab, Computer Science Department, 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: February 10, 2020
* Date posted: January 20, 2020
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]

UKP Lab of the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist "Secure and Robust NLP"
(PostDoc- or PhD-level; for an initial term until the end of 2021)

as part of the National Research Center for Applied Cybersecurity ATHENE [1]. We are part of the research mission "SenPAI-Security and Privacy in AI". While AI becomes more common as a tool for various security applications where data must be analysed, clustered or attributed, the security of the applied AI algorithms is often limited. Various research results in the past years show shortcomings of trained neural nets (NN) like the lack of robustness against targeted attacks. The focus of our contribution to SenPAI is in (i) An automatic penetration testing system for NLP: A modular toolkit with common strategies to attack NLP models. This toolkit allows the wide-spread evaluation of state-of-the-art and in-production NLP systems; and (ii) Robust training objectives for NLP systems: State-of-the-art learning systems are equipped with the automatic attack toolkit in order to generate more robust NLP models. The goal is to have NLP models which are robust against new, unseen attacks and which require a higher effort to bypass them.

For this project, we are looking to hire a PostDoc or a PhD student with both a strong background in Natural Language Processing and a strong interest to contribute to applied security. We plan to cooperate with Fraunhofer SIT in Darmstadt and several other machine learning labs involved in SenPAI. The UKP Lab is a high-profile research group comprising over thirty team members who work on various aspects of data-driven NLP and machine learning. Their novel applications in various domains extend to mining scientific literature or social media, security and AI for Social Good in general.

We ask for applications from candidates in Computer Science with a specialization in Machine Learning, Natural Language Processing or Text Mining and strong interest in secure and robust NLP. Prior experience with neural network architectures, security-related applications and other relevant areas of NLP and Machine Learning is a plus. Demonstrable engagement in open source projects, strong programming skills and communication skills in English are highly appreciated.

UKP Lab (cf. [https://www.informatik.tu-darmstadt.de https://www.informatik.tu-darmstadt.de]) provides a highly agile, diverse and supportive research environment.
The lab has a wide cooperation network with both leading academic and industrial professionals in NLP and Machine Learning.
The Department of Computer Science of the TU Darmstadt is regularly ranked among the top ones in respective rankings of the German universities.
Its unique profile around AI (cf. [https://www.ai-da.tu-darmstadt.de https://www.ai-da.tu-darmstadt.de]) and information processing (cf. [https://www.informatik.tu-darmstadt.de/aiphes https://www.informatik.tu-darmstadt.de/aiphes]) emphasizes NLP, machine learning, and and their great potential for the industry and society at large.
UKP Lab is committed to cutting-edge research, publishing in top-tier venues, cooperative work style and close interaction of all team members.
The selected candidates enjoy numerous opportunities for professional growth, leading to successful faculty careers or exciting industrial employments.

To apply, please provide a detailed CV, a motivation letter and an outline of previous work or research experience along with the names of up to three referees (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 February 10th, 2020: [https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment]. Applications arriving after the deadline will still be considered until the position is filled.

[1] [https://www.athene-center.de/en/ https://www.athene-center.de/en/]

== PhD or PostDoc in Natural Language Processing for the Social Good, Computer Science Department, 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: February 10, 2020
* Date posted: January 20, 2020
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]

The Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist "NLP for the Social Good"
(PhD- or PostDoc-level; for an initial term until the end of 2022)

We are building a research profile in "Content Analytics for the Social Good" in close collaboration with multiple Machine Learning and Data Science labs as well as Social Science labs at the universities of Frankfurt and Mainz. To stregthen this profile, we are looking to hire a PhD student or a PostDoc with both a strong background in Natural Language Processing and a genuine interest to contribute to the Social Good, i.e. conduct research with decidedly positive impact on our society. Examples include privacy-aware NLP and large-scale text analysis to promote and enhance corporate social responsibility, public-policy making, or user empowerment under uncertainty. We specifically envisage cooperations with law and economics researchers and cutting-edge NLP research in low-resource scenarios.

The position is situated in a larger research environment of the UKP Lab as a high-profile research group comprising over thirty team members who work on various aspects of data-driven NLP and machine learning. Their novel applications in various domains extend to mining scientific literature or social media, and AI for Social Good in general. We have recently hired several postdocs to build a focus on NLP for the Social Good. The immediate supervision for the advertised position will be provided by Dr. Ivan Habernal. The strategic long-term advice will be given by Prof. Iryna Gurevych.

We ask for applications from candidates in Computer Science with a specialization in Machine Learning, Natural Language Processing or Text Mining and strong interdisciplinary interest in Computational Social Science. Prior experience with neural network architectures, corpus development and other relevant areas of NLP and Machine Learning is a plus. Demonstrable engagement in open source projects, strong programming skills and communication skills in English are highly appreciated.

UKP Lab (cf. [https://www.informatik.tu-darmstadt.de https://www.informatik.tu-darmstadt.de]) provides a highly agile, diverse and supportive research environment.
The lab has a wide cooperation network with both leading academic and industrial professionals in NLP and Machine Learning.
The Department of Computer Science of the TU Darmstadt is regularly ranked among the top ones in respective rankings of the German universities.
Its unique profile around AI (cf. [https://www.ai-da.tu-darmstadt.de https://www.ai-da.tu-darmstadt.de]) and information processing (cf. [https://www.informatik.tu-darmstadt.de/aiphes https://www.informatik.tu-darmstadt.de/aiphes]) emphasizes NLP, machine learning, and and their great potential for the industry and society at large.
UKP Lab is committed to cutting-edge research, publishing in top-tier venues, cooperative work style and close interaction of all team members.
The selected candidates enjoy numerous opportunities for professional growth, leading to successful faculty careers or exciting industrial employments.

To apply, please provide a detailed CV, a motivation letter and an outline of previous work or research experience along with the names of up to three referees (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 February 10th, 2020: [https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment]. Applications arriving after the deadline will still be considered until the position is filled.

== NLP Research Internship at Adobe Research, San Jose, California ==
*Employer: Adobe Research
*Title: Research Scientist Intern
*Speciality: NLP, search, dialog, joint NLP+computer vision
*Location: San Jose, CA, USA
*Deadline: Applications will be accepted until the position is filled.
*Date posted: January 7, 2020
*Contact: Franck Dernoncourt <[mailto:franck.dernoncourt@adobe.com franck.dernoncourt@adobe.com]>

We are looking for PhD students with background in NLP, search, dialog, or joint NLP+computer vision for a spring/summer/autumn, ~13-week research 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). You can view our NLP publications on https://research.adobe.com/publications/?a=natural-language-processing&y

Employment opportunities, postdoctoral positions, summer jobs

2017-11-10T10:59:33Z

Stevenschockaert:

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== Post-doctoral positions on interpretable vector space embeddings, Cardiff University, UK ==

* Employer: Cardiff University
* Title: Postdoctoral research associate
* Specialty: Knowledge graphs, conceptual spaces, vector space embeddings, statistical learning, neural networks
* Location: Cardiff, UK
* Deadline: 10 December 2017
* Date posted: 10 November 2017
* Contact: [mailto:schockaerts1@cardiff.ac.uk schockaerts1@cardiff.ac.uk]

Applications are invited for two postdoctoral research posts at Cardiff University’s School of Computer Science & Informatics in the context of the ERC funded project FLEXILOG. The overall aims of this project are (i) to learn interpretable vector space embeddings (or conceptual spaces) from a variety of structured and unstructured information sources, and (ii) to exploit these embeddings for improving statistical and symbolic inference from imperfect data. More information about FLEXILOG can be found on the project website: http://www.cs.cf.ac.uk/flexilog/

Specifically, the aim of these posts will be to contribute to one or more of the following:

* to develop methods for statistical reasoning from sparse relational data, which exploit vector space representations to impose cognitively inspired forms of regularization (e.g. the fact that concepts tend to correspond to convex regions).
* to develop methods for learning modular and interpretable vector space representations of events, which can be used to predict how events will impact the actors involved (and the entities related to them), as well as the likelihood of related future events.
* to evaluate these methods in applications such as zero-shot learning, textual entailment, reading comprehension, automated knowledge base completion, and entity retrieval.

Successful candidates are expected to have excellent programming skills, as well as a strong background in natural language processing, machine learning, or knowledge representation.

Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available.

'''More information''': 
For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 6522BR. Please note the requirement to evidence all essential criteria in the supporting statement.

== Post-doctoral position in deep learning for natural language understanding at Idiap, Switzerland ==

* Employer: [http://www.idiap.ch/ Idiap Research Institute], Martigny, Switzerland
* Title: PostDoc
* Specialty: deep learning for natural language understanding
* Location: Martigny, Switzerland
* Deadline: until position filled
* Date posted: November 8, 2017
* Contact: [mailto:james.henderson@idiap.ch james.henderson@idiap.ch]

The Idiap Research Institute seeks qualified candidates for a Postdoc position in the field of natural language understanding. The research will be conducted in the framework of EU H2020 and IARPA projects, in collaboration with international consortia.

The successful candidate will work with Dr. James Henderson (http://cui.unige.ch/~hendersj/) within the Natural Language Understanding group at Idiap, and have the opportunity to collaborate with other world-class researchers in machine learning, natural language processing and speech recognition at Idiap, their project partners, and nearby EPFL. The NLU group has expertise in representation learning and deep neural network structured prediction applied to syntactic/semantic parsing, semantic entailment, machine translation, information retrieval and other NLP tasks.

The research will investigate deep learning architectures for cross-lingual natural language understanding and indexing. The focus can include end-to-end integration with neural speech recognition, cross-lingual and compositional representation learning, low-resource training methods, machine translation, summarisation and cross-lingual information retrieval.

The ideal candidate should hold a PhD degree in computer science or a related field. She/he will have a background in natural language processing and/or machine learning, with strong programming skills and an excellent publication record. Familiarity with deep learning toolkits will be an advantage.

The Postdoc position is offered on a one-year basis with the possibility of renewal based on funding and performance, with a starting salary of 80,000 CHF/year. Exceptionally qualified candidates can also be considered for a longer-term Research Associate position. Starting date is immediate or to be negotiated. Applications will be considered until the position is filled.

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%2710223%27%7D

== Researcher in Machine Learning for NLP with a Focus on Deep Learning and Machine Translation, DFKI, German Research Center for Artificial Intelligence, Germany ==

* Employer: [http://www.dfki.de/ Department of Language Technology], DFKI GmbH, Saarbrücken, Germany
* Title: Researcher in Machine Learning for NLP with a Focus on Deep Learning and Machine Translation
* Specialty: machine learning and deep learning for machine translation
* Location: Saarbrücken
* Deadline: November 30, 2017
* Date posted: November 6, 2017
* Contact: [mailto:mlt-sek@dfki.de josef.van_genabith@dfki.de]

The Multilingual Technologies (MLT) Lab at DFKI is looking to expand its expertise in Machine Learning for NLP with a focus on '''Deep Learning and Machine Translation'''. Depending on track record and experience, the position is available at the Junior/Researcher/Senior level.

'''Research responsibilities include''': 
* machine learning and deep learning for machine translation
* publication in top-tier conferences and journals
* software development and integration

'''General responsibilities include''': 
* basic research as well as industry funded applied research
* identification of funding opportunities and engagement in proposal writing
* contribution to teaching and supervision in accordance with University and DFKI rules and regulations
* administrative work associated with programmes of research

'''Requirements''': 
* MSc/PhD in computer science, machine learning, natural language processing, computational linguistics or similar
* Strong background and track record in machine learning and deep learning as well as in MT and NLP
* Strong problem solving and programming skills, independent and creative thinking
* Strong team working and communication skills, as well as excellent command of written and oral English. Command of German or other languages will be helpful.

Successful applicants will work in the DFKI MLT lab led by Prof. Josef van Genabith (Scientific Director MLT, DFKI, and Chair of Translation-Oriented Language Technologies, Saarland University).

'''Starting date, duration, salary''': 
Preferred starting dates are early Spring 2018. The position is available for a duration of three years, with opportunities for extension depending on performance and future funding. Compensation is competitive and reflects individual competence, seniority and special skills.

'''Application''': 
Applications are required to include a short cover letter, a CV, list of publications, a brief summary of research interests, and contact information for three references.
Please send your electronic application (preferably in PDF format) and inquiries to the above address referring to job opening no. 97/17/JvG.

== Independent Research Group Leader, Department of Computer Science, TU Darmstadt ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Department of Computer Science], Technische Universität Darmstadt, Germany
* Title: AIndependent Research Group Leader
* Specialty: Natural Language Processing for the Humanities
* Location: Darmstadt
* Deadline: November 24, 2017
* Date posted: November 3, 2017
* Contact: [mailto:gurevych@ukp.informatik.tu-darmstadt.de gurevych@ukp.informatik.tu-darmstadt.de]

Independent Research Group Leader "Natural Language Processing for the
Humanities", Technische Universität Darmstadt

The Department of Computer Science of Technische Universität Darmstadt
seeks to fill an Independent Research Group (IRG) Leader position for
the initial duration of four years. The program allows young
scientists to found their own research group. It is similar in spirit
to DFG's Emmy Noether Program. The focus of the Independent Research
Group will be on cutting-edge Natural Language Processing research
with its novel applications to support humanities research, e.g.
mining scientific literature, automatic discourse analysis, or
multimodal content classification to identify bias or tone
computationally. The goal of the position is to strengthen the rapidly
growing profile of the Department in Data Analytics at the
intersection of Natural Language Processing, Computer Vision, and
Machine Learning on the one side, and to further develop the connection
between Computer Science and the Humanities on the other side.

The IRG Leader will receive an opportunity to conduct independent
research and teaching, and the funding to hire a PhD student (similar
to assistant professors). Candidates must have completed their PhD in
Computer Science or related area, have an outstanding publication
record and demonstrate experience in working with the international
research community. Ideally they have held at least one postdoc
position at a university other than the one they obtained their PhD
degree from. The program offers competitive personal compensation and
access to resources. The IRG Leaders are employed by TU Darmstadt on
its own pay scale TV-TU Darmstadt. Applicants are selected based on
their credentials, references, and participation in a scientific
colloquium. 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. We specifically
invite applications of women. Among those equally qualified,
handicapped applicants will receive preferential consideration.
International applications are particularly encouraged.

The successful candidate will be given the opportunity to join the PI
team of the graduate school [https://www.aiphes.tu-darmstadt.de/ "Adaptive Preparation of Information from Heterogeneous Sources" (AIPHES)]. The project conducts innovative
research in a cross-disciplinary context. To that end, methods in
computational linguistics, natural language processing, machine
learning, network analysis, and automated quality assessment are
developed. AIPHES investigates a novel scenario for information
preparation from heterogeneous sources, within the application context
of multi-document summarization. There is close interaction 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 required.

The Department of Computer Science of TU Darmstadt is regularly ranked
among the top ones in respective rankings of German universities. Its
unique [https://www.cedifor.de/en/ "Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences" (CEDIFOR)] emphasizes natural language processing, text mining, machine learning, as well as
scalable infrastructures for assessment and aggregation of knowledge
applied to novel research problems from the Humanities domain.

Applications should be submitted to
https://public.ukp.informatik.tu-darmstadt.de/irgrecruitment/ by
November 24, 2017 and include a research and teaching statement along
with the CV, publication list, name of three academic references, and
further supporting documents. In case of questions, please contact
Prof. Dr. Iryna Gurevych: [mailto:gurevych@ukp.informatik.tu-darmstadt.de gurevych@ukp.informatik.tu-darmstadt.de]. The position is open until filled.

== PostDoc / Senior Researcher, UKP Lab, TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: PostDoc / Senior Researcher
* Specialty: NLP applications to humanities, social and educational sciences; multimodal analysis and large-scale knowledge extraction
* Location: Darmstadt
* Deadline: November 25, 2017
* Date posted: November 3, 2017
* 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 a

PostDoc / Senior Researcher
(for an initial term of two years with an option for an extension)

to strengthen the group’s expertise in the area of Natural Language Processing with its novel applications to Humanities, Social and Educational Sciences with a focus on multimodal analysis and large-scale knowledge extraction. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP). The group has a strong research profile in computational linguistics, machine learning and text mining. Core research areas include semantic text analysis and resources with their applications in multimodal information processing, knowledge discovery, and discourse analysis. The lab closely cooperates with groups in machine learning, image analysis, and interactive data analytics of the Computer Science department and a large number of research labs worldwide.

We ask for applications from candidates in Computer Science with a specialization/PhD in Natural Language Processing or Text Mining, preferably with expertise in research and development projects and strong communication skills in English and German (optional). The successful applicant will work on research and development activities within the profile area described above and – based on the previous experience and qualification – will be given an opportunity to contribute to teaching courses, PhD student co-supervision, and project management activities.

Ideally, the candidates should have demonstrable experience in NLP research, designing and implementing complex (NLP and/or ML) systems, applying Machine Learning incl. neural networks to text processing (e.g. document classification, sequence classification, clustering, etc.), information retrieval and databases, scalable data processing, and strong programming skills in Python and/or Java.

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 Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) and the Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasize NLP, machine learning and text mining. 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 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 following form by November 25, 2017: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The position is open until filled.

== 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, natural language processing infrastructure
* Location: Darmstadt
* Deadline: November 24, 2017
* Date posted: November 3, 2017
* 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)'''

to strengthen the group’s profile in the areas of Interactive Text
Analysis and Natural Language Processing Infrastructure. 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
wide range of open source software packages for interactive and
automatic text analysis to research and industry communities.

We ask for applications from candidates in Computer Science with a
specialization in Natural Language Processing or Text Mining,
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 activities regarding
text annotation by end-users (researchers, analysts, etc.),
information recommendation, information retrieval, or semantic text
analysis, and to create the corresponding applications and software
components in coordination with the prospective end-users.

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. document classification, sequence classification, clustering,
etc.), experience with information retrieval systems and databases,
scalable data processing, and strong programming skills especially in
Java. Experience with neural network architectures and demonstrable
engagement in open source projects are strong pluses.

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
initiative "Data Analytics” and the Research Training Group “Adaptive
Information Processing of Heterogeneous Content” (AIPHES) funded by
the DFG emphasize NLP, machine learning, text mining and 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 working on common
goals.

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 submit your application via the following form by November 24,
2017: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The
position is open until filled.

== KU Leuven, Belgium : Researcher in Automated Reading of Documents ==

* KU Leuven, Belgium: Postdoc or junior researcher in Automated Reading of Documents
* Employer: KU Leuven, Belgium
* Title: Postdoctoral or research fellow
* Specialty: Machine Learning and Natural Language Processing
* Location: Leuven, Belgium
* Deadline: Ongoing, desired start date: as soon as possible
* Date posted: November 1, 2017
* Contact: [mailto:sien.moens@cs.kuleuven.be Prof. Marie-Francine Moens]

'''Researcher in Automated Reading of Documents''' 
(Department of Computer Science, KU Leuven, Belgium)

The Language Intelligence & Information Retrieval lab (https://liir.cs.kuleuven.be) that is part of the Human Computer Interaction group of the Department of Computer Science of KU Leuven in Belgium has an open position for a motivated researcher interested in the latest developments in artificial intelligence for the automated reading of documents.

The research is carried out in the frame of the SaaS project (Self-learning SaaS platform for simplification of data-intensive customer experiences). The goal is to design, develop and test novel machine learning models that are self-learning and that can be applied for real-time processing of unstructured or semi-structured documents. Special attention will go to deep learning models relying on character-based or word-based representations of content.

We offer a research position in a research team that has an outstanding international reputation in natural language processing and understanding, multimedia mining, machine learning and information retrieval. Within the team we study both theoretical modelling and challenging applications. We investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. We have 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, user generated content mining, and web mining and search. KU Leuven is located about 25 kilometers from Brussels, the capital of Europe. For the second year in a row, KU Leuven leads the Reuters ranking as Europe’s most innovative university.

'''Required'''
* Ph.D. in Computer Science, Artificial Intelligence, or a related field.
* Research experience in machine learning.

'''Desired'''
* Good knowledge of the English language and some knowledge of French or Dutch.

'''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: as soon as possible.
* Competitive salary.

'''How to Apply''' 
If interested, send your CV and motivation letter to Prof. Marie-Francine Moens (sien.moens@cs.kuleuven.be). The position will be filled in as soon as possible.

== 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 Spring/Summer 2018
* Date posted: October 31, 2017
* 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 Spring or Summer 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 Spring 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].

== Two Postdoctoral Positions on Interpretable Vector Space Models ==
*Employer: Cardiff University
*Title: Postdoctoral research associate
*Speciality: Neural networks, statistical relational learning, natural language processing
*Location: Cardiff, UK
*Deadline: November 2 2017
*Date posted: October 6, 2017
*Contact: [mailto:schockaerts1@cardiff.ac.uk Steven Schockaert]

Applications are invited for two postdoctoral research posts at Cardiff University’s School of Computer Science & Informatics in the context of Steven Schockaert's FLEXILOG project, which is funded by the European Research Council (ERC). The overall aims of this project are (i) to learn interpretable vector space representations of entities and their relationships, and (ii) to exploit these vector space representations for various forms of flexible reasoning with, and learning from structured data. More information about FLEXILOG can be found on the project website: http://www.cs.cf.ac.uk/flexilog/

The aim of these positions will be to contribute to one or more of the following topics.

1) Learning structured event embeddings. In contrast to existing approaches, the learned embeddings will explicitly model which entities participate in the events, how they are related, and how their relationships are affected by different events. This will require combining ideas from neural network models for event embedding (e.g. based on LSTMs) with cognitively inspired representations (e.g. based on the theory of conceptual spaces). Among others, the resulting model will allow us to uncover more intricate causal relationships, to generate supporting explanations for causal predictions, to incorporate prior knowledge, and to transfer learned knowledge between domains.

2) Combining statistical relational learning with vector space models of commonsense reasoning. Low-dimensional vector space representations can be used to identify plausible formulas that are missing from a given knowledge base, intuitively by applying a kind of similarity or analogy based reasoning. Statistical relational learning (SRL) can also be used to infer plausible formulas, but instead relies on modelling statistical dependencies among relational facts at the symbolic level. Unifying both methodologies will allow us to develop powerful inference methods that combine their complementary strengths, enabling interpretable and robust plausible reasoning from sparse relational data.

3) Geometric representations of logical theories. Most vector space models for knowledge base completion simply represent entities, attributes and relations as vectors. In many domains, however, plausible inferences rely on complex dependencies that cannot be captured by such representations. As an alternative, we will develop methods in which predicates are represented as regions, and logical formulas correspond to qualitative constraints on the spatial configurations of these regions. This model will support more complex inferences than existing approaches, will allow us to exploit existing domain knowledge when learning vector space representations, and will conversely allow us derive approximate logical theories from a learned embedding.

Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available.

For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 6522BR. Please note the requirement to evidence all essential criteria in the supporting statement.

== Salaried 4-year PhD Position in Computational Linguistics/NLP at Stockholm University ==
*Employer: Stockholm University, Sweden
*Title: PhD candidate
*Speciality: Computational Linguistics/Natural Language Processing
*Location: Stockholm, Sweden
*Deadline: October 16, 2017
*Date posted: September 20, 2017
*Contact: [mailto:robert@ling.su.se Robert Östling]

More information and application form: http://www.su.se/english/about/working-at-su/jobs?rmlang=UK&rmpage=job&rmjob=3869

The Department of Linguistics at Stockholm University is looking for a new PhD candidate in the area of computational linguistics/natural language processing. PhD candidates are regular employees of Stockholm University, with a starting salary of 25,300 SEK (2,650 EUR; 3,200 USD) per month and the same benefits and social security as other University employees. The position is fully funded for 4 years. Extension up to one year is possible if the candidate performs teaching or other duties at the department, and further extension is granted in case of parental or sick leave.

The choice of thesis topic is not restricted to a particular project, but should be aligned with the research profile of the department. Possible topics include multilingual NLP methods, machine translation, or computational methods for other areas of research at the department (language acquisition, linguistic typology, phonetics, sign language).

Potential applicants are encouraged to contact [mailto:robert@ling.su.se Robert Östling] to discuss possible thesis projects, or other issues related to the position.

== Tenure Line Assistant Professor Position in Linguistics at Northwestern University ==
*Employer: Northwestern University, USA
*Title: Tenure Line Assistant Professor Position in Linguistics at Northwestern University
*Speciality: Meaning
*Location: Evanston, IL, USA
*Deadline: December 1, 2017
*Date posted: September 18, 2017
*Contact: matt-goldrick@northwestern.edu

http://www.linguistics.northwestern.edu/about/news/faculty-search.html

The Department of Linguistics at Northwestern University seeks to fill a tenure-line assistant professor position with a start date of September 1, 2018. We are looking for candidates with research and teaching interests in meaning, broadly construed. We are particularly interested in candidates whose research program includes cognitive, computational, and/or social approaches. The successful candidate will join a vibrant interdisciplinary community of researchers in the science of language, including computer science, philosophy, psychology, cognitive neuroscience, and speech science.

To receive fullest consideration, applications should be uploaded by December 1, 2017. Candidates must hold a Ph.D. in Linguistics, Cognitive Science, Computer Science, Psychology, or a related field by the start date. Please include a CV (including contact information), statements of research and teaching interests, reprints or other written work, teaching evaluations (if available), and the names of three references (with their contact information). References will separately receive upload instructions after you have submitted your application (letters of reference should arrive as close as December 1st as possible).

The Department is strongly committed to enhancing diversity, equity and inclusion in all aspects – including, but not limited to, race/ethnicity, and gender, as well as disability, sexual orientation, and gender expression and identity. We encourage applications from candidates that share this vision.

E-mail inquiries should be directed to Matt Goldrick, Chair.

Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.

== 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
* Deadline: October 6, 2017
* Date posted: September 18, 2017
* 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 several positions for
three years, starting on April 1st, 2018. Positions remain open until
filled.

PhD-level Researchers in Natural Language Processing, Computational
Linguistics, Machine Learning, or related areas

The positions provide the opportunity to obtain a doctoral degree in
the research area of the training group with an emphasis, e.g., in
graph-based discourse processing, in natural language processing tasks
such as automated summarization, in representation and analysis of
text-induced structures, in jointly analyzing text and images, or in 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 the 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, have 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 [https://www.informatik.tu-darmstadt.de/ TU Darmstadt] is regularly
ranked among the top ones in respective rankings of German
universities. The [http://www.cl.uni-heidelberg.de/ 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 [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 should be submitted via the
following form by October 6th, 2017:
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 on Sentence Understanding and Generation at NYU==

* Employer: New York University, Machine Learning for Language Group (Sam Bowman and Kyunghyun Cho)
* Title: Postdoc
* Specialty: Sentence understanding and generation using deep neural networks with latent tree structures or other latent variables
* Location: New York, NY, USA
* Deadline: Rolling
* Date posted: September 15, 2017
* Contact: [mailto:bowman@nyu.edu Sam Bowman]

The Machine Learning for Language Group at NYU expects to hire at least one postdoc to start some time in 2018, working with one or both of PIs Kyunghyun Cho and Sam Bowman.

We expect the researcher to use their time here to develop an independent research program which involves work on neural network models for natural language understanding or generation at the sentence level and to also participate in work on models which use latent tree structures or other continuous or discrete latent variables. The position will be funded through a sponsored research agreement on this topic, and while the researcher may be asked to contribute some effort to the completion of the sponsored research, this shouldn’t be a burden: It will only involve the development, evaluation and publication of novel modeling methods on public datasets.

For more details, see the full ad here:

https://wp.nyu.edu/ml2/postdoc-opening/

==PhD Position on Adaptive Text Generation in a Serious Game, The Netherlands==

* Employer: University of Twente
* Title: PhD position
* Specialty: Natural Language Generation
* Location: Enschede, The Netherlands
* Deadline: 28 August, 2017
* Date posted: August 4, 2017
* Contact: [mailto:m.theune@utwente.nl Mariët Theune]

The research group Human Media Interaction of the University of Twente is looking for a PhD candidate to work on adaptive text generation. The PhD research aims at generating natural language texts in Dutch, for use in a training game for Dutch firefighters. The texts will be adaptive in the sense that they will be tailored to the player’s individual needs and competences. The type of narrative game that will be developed in our project (in collaboration with a serious game company) offers multiple opportunities for such tailoring of textual game content. Specifically, the goal is to work on the generation of in-game texts based on current real-world data, the generation of non-player character dialogue and the generation of post-game narrative feedback on player performance. Since the generated texts will be in Dutch, the PhD candidate is expected to have a good command of the Dutch language.

The position is full-time for four years. Starting date is as soon as possible. Find more details about the position, including how to apply, by clicking on the link below:

https://www.utwente.nl/en/organization/careers/vacancies/!/vacature/1155511

==Permanent Position for Postdocs in Machine Learning & NLP, Paris, France==

* Employer: SPARTED
* Title: Project Researcher
* Specialty: NLP, Machine Learning, Deep Learning, Information Extraction
* Location: Paris (16), France
* Deadline: Until candidate is found
* Date posted: August 4, 2017
* Contact: [mailto:camille@sparted.com]; phone [+33] (06)52148693
* Website: http://www.sparted.com

SPARTED is an innovative and disruptive French EdTech startup that is changing the way people learn by turning employees into daily learners. We offer companies and organizations a SaaS micro-learning mobile platform that allows them to create online gamified content and deliver it independently in a white label app.
SPARTED is initiated an ambitious project and is hiring a Postdoc researcher to pilot it. Find more details about the position by clicking on the link below:

http://files.sparted.com/all/Job%20description/AI%20FICHE%20DE%20POSTE.pdf

== Funded PhD Position in NLP & Music Technology, Universitat Pompeu Fabra, Barcelona, Spain ==

* Employer: Universitat Pompeu Fabra [https://www.upf.edu/en/web/etic], Barcelona, Spain
* Title: PhD Scholarship
* Specialty: Text Mining, Information Extraction, Music Information Retrieval
* Location: Barcelona, Spain
* Deadline: Until candidate is found
* Date posted: June 10, 2017
* Contact: [mailto:horacio.saggion@upf.edu]

PhD position on data-driven methodologies for music knowledge extraction
In the context of a collaborative project between the Music Technology and the Natural Language Processing groups of the Department of Information and Communication Technologies (DTIC) at Universitat Pompeu Fabra (UPF) we offer a PhD position dedicated to developing data-driven methodologies for music knowledge extraction by combining Natural Language Processing and Music Information Retrieval approaches.

Supervisors of the position: Xavier Serra and Horacio Saggion
Contact for application: Aurelio Ruiz (aurelio.ruiz@upf.edu)

The work to be done in this PhD will aim at processing music related text from open web sources in order to generate musically relevant knowledge. For this, it will require combining methodologies coming from Music Information Retrieval (MIR), Natural Language Processing (NLP) and Computational Musicology.

The PhD position is part of the María de Maeztu Strategic Research Program on data-driven knowledge extraction (MDM-2015-0502) and linked to the program of the Spanish Ministry of Science and Competitiveness .

== Scientific System Developer, UKP Lab, TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Scientific System Developer
* Specialty: Argument Mining, Machine Learning, Big Data Analysis
* Location: Darmstadt
* Deadline: May 31, 2017
* Date posted: May 3, 2017
* 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 a

'''Scientific System Developer''' 
'''(PostDoc- or PhD-level; time-limited project position until April 2020)'''

to strengthen the group’s profile in the area of Argument Mining, Machine Learning and Big Data Analysis. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Argument Mining is one of the rapidly developing focus areas in collaboration with industrial partners.

We ask for applications from candidates in Computer Science preferably with expertise in research and development projects, and strong communication skills in English and German. The successful applicant will work in projects including research activities in the area of Argument Mining (e.g. automatic evidence detection, decision support, large-scale web mining on heterogeneous source and data management), and development activities to create new products or industrial product prototypes. Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP) systems in Java and Python as well as experience in information retrieval, large-scale data processing and machine learning. Experience with continuous system integration and testing and distributed/cluster computing is a strong plus. Combining fundamental NLP research with industrial applications from different application domains will be highly encouraged.

UKP’s wide cooperation network both within its own research community and with partners from 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 and recently established Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasizes NLP, text mining, machine learning, 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.

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 application to: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 31.05.2017. The position is open until filled. Later applications may be considered if the position is still open.

Questions about the position can be directed to: [mailto:jobs@ukp.informatik.tu-darmstadt.de Johannes Daxenberger]; phone: [+49] (0)6151 16-25297
We look forward to receiving your application!

== Two postdoc positions on plausible reasoning with vector space embeddings at Cardiff University ==

* Employer: Cardiff University
* Title: Postdoctoral Research Associate
* Specialty: vector space embeddings, statistical relational learning, knowledge representation, neural networks, explainable AI
* Location: Cardiff, UK
* Deadline: May 20, 2017
* Date posted: April 20, 2017
* Contact: [mailto:schockaerts1@cardiff.ac.uk Steven Schockaert]

Applications are invited for two Postdoctoral Research Associate posts at Cardiff University’s School of Computer Science & Informatics:
* The focus of the first position will be on developing methods for exploiting entity embeddings in statistical relational learning, to enable robust plausible reasoning from sparse relational data. Entity embeddings can be used to identify plausible formulas that are missing from a given knowledge base, intuitively by applying a kind of similarity or analogy based reasoning. Statistical relational learning can also be used to infer plausible formulas, but instead relies on modelling statistical dependencies among relational facts at the symbolic level. Unifying both methodologies will allow us to develop powerful inference methods that combine their complementary strengths. The resulting method will be applied to zero and one shot learning tasks, with a focus on automated knowledge base completion.
*The focus of the second position will be on learning vector space embeddings of events and the causal relations between them. In contrast to existing approaches, the learned embeddings will explicitly model which entities participate in the events, how they are related, and how their relationships are affected by different events. This will require combining ideas from neural network models for event embedding (e.g. based on LSTMs) with ideas from knowledge graph embedding models. Among others, the resulting model will allow us to uncover more intricate causal relationships, to generate supporting explanations for causal predictions, to incorporate prior knowledge, and to transfer learned knowledge between domains. Intended applications include recognising textual entailment, stock market prediction, and event-focused information retrieval.

Successful candidates are expected to have a strong background in natural language processing, machine learning, or knowledge representation. This research will be part of Steven Schockaert's FLEXILOG project, which is funded by the European Research Council (ERC)

Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available.

'''More information'''
For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5878BR. Please note the requirement to evidence all essential criteria in the supporting statement.

== Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis, University of Colorado Boulder ==

* Employer: University of Colorado Boulder
* Title: Postdoctoral Research Associate
* Specialty: Advanced Machine Learning
* Location: Boulder, Colorado, United States
* Deadline: Ongoing, desired start Summer/Fall 2017
* Date posted: March 31, 2017
* Contact: [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]

'''Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis''' 
(Institute of Cognitive Science and Department of Computer Science at the University of Colorado Boulder)

The Institute of Cognitive Science (ICS) and Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral fellow starting Summer/Fall 2017 for one year and renewable for a second 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 postdoc will develop and apply machine learning techniques in the hierarchical and temporal domains to model behavioral and mental states (e.g., affect, attention, workload) from multimodal data (e.g., video, audio, physiology, eye gaze) across a range of interaction contexts (e.g., online learning, in-class learning, 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, Cognitive Science, and Education.

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 advanced 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 for temporal and hierarchical domains (e.g., probabilistic graphical models, deep recurrent neural networks) applied to human behavior and mental state analysis (e.g., affective computing, dyadic/triadic interaction)
* Self-motivated with a strong work ethic and writing proficiency as evidenced by a strong publication record

'''Desired'''
* Research experience in one or more of the following areas (computer vision, eye tracking, computational psychophysiology, fMRI, multimodal fusion, collaborative problem solving, real-world sensing)
* Experience mentoring graduate and undergraduate students

'''Job Details'''
* 1-2 year position. Initial contract is for one year (providing renewal after 6-month probationary period). Second year contract is based on performance and availability of funds.
* Start date is negotiable, but anticipated for Summer/Fall 2017.
* Competitive salary with benefits commensurate with qualifications. This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible for monthly vacation and sick leave accruals.

'''How to apply''' 
Please complete Faculty/University Staff EEO Data (application) form ([https://goo.gl/YC9g94 https://goo.gl/YC9g94]) and upload the following required documents: 1—Cover letter; 2—Curriculum Vitae 3—List of Three References 4-One or two representative publications.

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].

'''Questions''' 
Please email [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]

== Researcher in Machine Learning and NLP, DFKI, Germany ==

* Employer: [http://www.dfki.de/ DFKI GmbH], Germany
* Title: Researcher
* Specialty: Machine Learning and Natural Language Processing, Deep Learning, Machine Translation
* Location: Saarbruecken
* Deadline: March 31, 2017
* Date posted: March 13, 2017
* Contact: [mailto:mlt-sek@dfki.de Prof. Josef van Genabith]

The Multilingual Technologies (MLT) Lab at DFKI is looking to expand its expertise in Machine Learning with a focus on Deep Learning, Machine Translation and possibly other areas of NLP. Depending on experience, the position is available at the Junior/Researcher/Senior/Principal Researcher level.

'''Key research responsibilities''' include:
* machine and deep learning for natural language processing/machine translation
* software development and integration
* publication in top-tier conferences and journals

'''General responsibilities''' include:
* engagement with industry partners and contract research
* identification of funding opportunities and engagement in proposal writing
* contribution to teaching and supervision in accordance with University and DFKI rules and regulations
* administrative work associated with programmes of research

'''Requirements:'''
* MSc/PhD in computer science, machine learning, natural language processing, computational linguistics or similar
* Strong background and track record in machine learning, neural nets and deep learning
* Strong background and track record in NLP and MT - Excellent programming skills
* Excellent problem solving skills, independent and creative thinking
* Excellent team working and communication skills
* Excellent command of written and oral English
* Command of German and other languages not a requirement but helpful

The successful applicant will work in the DFKI MLT lab led by Prof. Josef van Genabith (Scientific Director MLT, DFKI, and Chair of Translation-Oriented Language Technologies, Saarland University).

'''Working environment:'''
DFKI is one of the largest AI research institutes worldwide, with several sites in Germany, covering basic research and applications. DFKI is a not-for-profit company with more than 500 researchers from 60+ countries across the globe. DFKI is based on a shareholder model including globally operating companies such as Intel, Google, Microsoft, Nuance, SAP, BMW, VW, Bosch, Deutsche Telekom, several SMEs, three German universities and three German Federal States.

The DFKI Multilingual Technologies lab partners in international, national and industry funded research projects in all areas of Language Technologies (including machine translation, question answering, information extraction, human-robot communication, speech and the multi-lingual web). The MLT lab currently leads the H2020 European Research project [http://www.qt21.eu/ QT21] on MT, the EU CEF funded [http://lr-coordination.eu/ ELRC] project and the EU funded [http://www.tradr-project.eu/ TRADR] project on human-robot collaboration in disaster response scenarios.

The MLT lab is part of the DFKI site at the Saarland University campus in Saarbrücken, Germany. Saarland University has exceptionally strong Computer Science and Computational Linguistics departments, two Max Plank Institutes in Computer Science, an Excellence Cluster in [http://www.mmci.uni-saarland.de/en/start Multimodal Computing and Interaction] and several International Doctoral and Master programmes in Computer Science and Computational Linguistics. DFKI staff regularly engage in teaching and supervision at Saarland University.

'''Geographical environment:'''
[http://www.saarbruecken.de/en Saarbrücken] is the capital of Saarland with approximately 190,000 inhabitants. It is located right in the heart of Europe and is the cultural center of this border region of Germany, France and Luxembourg. Some of the closest larger cities are Trier, Nancy, Mannheim, Karlsruhe and Frankfurt. Paris can be reached by train in just under 2 hours. Living costs are modest in comparison with other large cities in Germany and elsewhere in Europe.

'''Starting date, duration, salary:'''
Preferred starting date is May/June 2017. The position is available until June 30, 2020, with opportunities for extension depending on performance and future funding. Compensation is competitive and reflects individual competence, seniority and special skills.

'''Application:'''
Applications are required to include a short cover letter, a CV, list of publications, a brief summary of research interests, and contact information for three references. Please send your electronic application (preferably in PDF format) to [mailto:mlt-sek@dfki.de Prof. Josef van Genabith] referring to job opening no. 22/17-JvG. Deadline for applications is March 31st, 2017. The position remains open until filled. Please contact [mailto:josef.van_genabith@dfki.de Prof. van Genabith] for informal inquiries.

== 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 Machine Learning (IML) or Natural Language Processing for Language Learning
* Location: Darmstadt
* Deadline: March 8, 2017
* Date posted: February 21, 2017
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]

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

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

to strengthen the group’s profile in the areas of Interactive Machine
Learning (IML) or Natural Language Processing for Language Learning.
The UKP Lab is a research group comprising over 30 team members who
work on various aspects of Natural Language Processing (NLP), of
which Interactive Machine Learning and Natural Language Processing
for Language Learning are the focus areas researched in collaboration
with partners in research and industry.

We ask for applications from candidates in Computer Science with a
specialization in Machine Learning or Natural Language Processing,
preferably with expertise in research and development projects, and
strong communication skills in English and German.

* The successful applicant in the area of Interactive Machine Learning will work on research activities regarding its application to end-user content annotation, information structuring and recommendation, or semantic text analysis, and development activities to create functional and attractive user-oriented product prototypes.
* The successful applicant in the area of Natural Language Processing for Language Learning will work on research activities in automatically assessing language competencies and readability as well as on generating exercise material for language learners in intelligent real-time learning systems.

Prior work in the above areas is a definite advantage. Ideally, the
candidates should have demonstrable experience in designing and
implementing complex (NLP and/or ML) systems, experience in
large-scale data analysis, large-scale knowledge bases, and strong
programming skills incl. Java. Experience with neural network
architectures and a sense for user experience design are a strong
plus. Combining fundamental NLP research on Interactive Machine
Learning or Natural Language Processing with practical applications
in different domains including education will be highly encouraged.

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
initiative "Knowledge Discovery in the Web" and the Research Training
Group [https://www.aiphes.tu-darmstadt.de/ "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.

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 08.03.2017. The positions
are open until filled. Later applications may be considered if the
position is still open.

== Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University ==
*Employer: Northwestern University, USA
*Title: Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University
*Speciality: Open area
*Location: Evanston, IL, USA
*Deadline: April 1, 2017
*Date posted: February 17, 2017
*Contact: matt-goldrick@northwestern.edu

The Department of Linguistics at Northwestern University invites applications for a full-time, non-renewable, two year postdoctoral fellowship in any area of linguistics. We are looking for candidates who pursue an integrated, interdisciplinary approach to the scientific study of language, utilizing experimental methods, corpus analysis, and/or computational modeling to inform linguistic theory and its applications. The fellowship period begins September 1, 2017. Each year, the fellow will be expected to teach one undergraduate-level course in the Department of Linguistics. The fellow will also serve as an undergraduate adviser for the Cognitive Science Program, working with students pursuing the major and minor on academic issues (e.g., course selection, research opportunities, progress on degree requirements).

The fellow will join a vibrant interdisciplinary community of researchers from across the cognitive sciences (including communication sciences, computer science, learning sciences, music cognition, neuroscience, philosophy, and psychology). The fellow’s research will be supported by the facilities of the Department of Linguistics.

To receive fullest consideration, applications should arrive by April 1, 2017. Candidates must hold a Ph.D. in Linguistics or a related field (e.g., Cognitive Neuroscience, Cognitive Science, Computer Science, Philosophy, Psychology, Speech and Hearing Sciences) by the start date. Please include a CV that includes contact information, brief statements of research and teaching interests (1-3 pages each), up to 3 reprints or other written work (including thesis chapters for ABD applicants), teaching evaluations (if available), and the names and contact information for three references. Please visit http://www.linguistics.northwestern.edu/ for online application instructions.

E-mail inquiries should be directed to Matt Goldrick, Chair of the Department of Linguistics (matt-goldrick@northwestern.edu). Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women and minorities are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.

== Postdoctoral Research Position in Interpretable Machine Learning at Cardiff University, UK ==
*Employer: Cardiff University, UK
*Title: Research Associate in Artificial Intelligence / Machine Learning
*Speciality: Vector Space Models, Deep Learning, Interpretable Machine Learning, Symbolic Models
*Location: Cardiff, UK
*Deadline: March 2, 2017
*Date posted: February 13, 2017
*Contact: schockaerts1@cardiff.ac.uk

Applications are invited for a Postdoctoral Research Associate post in Cardiff University’s School of Computer Science & Informatics. This is a full-time, fixed-term post for 30 months, starting on 1 May 2017 or as soon as possible thereafter. The successful candidate will be dedicated to finding creative solutions and have a genuine curiosity and enthusiasm to undertake world-class research in the field of Machine Learning / Artificial Intelligence. Specifically, the aim of this post will be to develop novel methods for learning interpretable/symbolic models from diverse sources of information, including knowledge graphs, vector space models and natural language text. These models will then be used as background theories in applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning. You will work closely with Steven Schockaert. You will possess or be near the completion of a PhD in Computer Science or a related area, or have relevant industrial experience.

This research will be part of the FLEXILOG project, which is funded by the European Research Council (ERC)

'''Essential criteria'''

* Postgraduate degree at PhD level, or near to completion of a PhD in a related subject area or relevant industrial experience
* An established expertise and proven portfolio of research and/or relevant industrial experience within at least two of the following research fields: Machine Learning, Knowledge Representation, Natural Language Processing.
* A strong background in statistics and linear algebra.
* Excellent programming skills.
* Knowledge of current status of research in specialist field.
* Proven ability to publish in relevant journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, Journal of Machine Learning Research, Machine Learning) or top-tier conferences (e.g. IJCAI, AAAI, ECAI, NIPS, ICML, KDD, ACL, EMNLP).
* Ability to understand and apply for competitive research funding.
* Proven ability in effective and persuasive communication.
* Ability to supervise the work of others to focus team efforts and motivate individuals.
* Proven ability to demonstrate creativity, innovation and team-working within work.

'''Background about the university'''

Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available. Various surveys have ranked it as one of the most liveable cities in Europe. Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. The school has a strong research track record recognised for its outstanding impact in terms of reach and significance, with 79% of its outputs deemed world-leading or internationally excellent in the 2014 Research Excellence Framework.

'''Background about the project'''

Vector space embeddings have become a popular representation framework in many areas of natural language processing and knowledge representation. In the context of knowledge base completion, for example, their ability to capture important statistical dependencies in relational data has proven remarkably powerful. These vector space models, however, are typically not interpretable, which can be problematic for at least two reasons. First, in applications it is often important that we can provide an intuitive justification to the end user as to why a given statement is believed, and such justifications are moreover invaluable for debugging or assessing the performance of a system. Second, the black box nature of these representations makes it difficult to integrate them with other sources of information, such as statements derived from natural language, or from structured domain theories. Symbolic representations, on the other hand, are easy to interpret, but classical inference is not sufficiently robust (e.g. in case of inconsistency) and too inflexible (e.g. in case of missing knowledge) for most applications.

The overall aim of the FLEXILOG project is to develop novel forms of reasoning that combine the transparency of logical methods with the flexibility and robustness of vector space representations. For example, symbolic inference can be augmented with inductive reasoning patterns (based on cognitive models of human commonsense reasoning), by relying on fine-grained semantic relationships that are derived from vector space representations. Conversely, logical formulas can be interpreted as spatial constraints on vector space representations. This duality between logical theories and vector space representations opens up various new possibilities for learning interpretable domain theories from data, which will enable new ways of tackling applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning.

'''More information'''

For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5545BR. Please note the requirement to evidence all essential criteria in the supporting statement.

== Research Associates in Natural Language Processing / Text Mining, University of Manchester, UK ==
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
*Title: Research Associates in Natural Language Processing / Text Mining
*Speciality: Natural Language Processing, Text Mining
*Location: Manchester, UK
*Deadline: March 13, 2017
*Date posted: February 10, 2017
*Contact: sophia.ananiadou@manchester.ac.uk

The School of Computer Science, National Centre for Text Mining at the University of Manchester seeks to appoint two Research Associates in Natural Language Processing-based Text Mining to expand its text mining research portfolio.

They will join a strong team of 12+ staff who work on numerous national and international research projects, including industry, in areas of information extraction, disambiguation, topic analysis, natural language processing, biomedical text mining and machine learning.

'''Skills'''

You should have a PhD in Computer Science with an emphasis on Natural Language Processing and Text Mining. The focus of your research will be in developing (semi)-supervised methods for information extraction, in particular relation, event extraction and normalisation; a proven ability to develop algorithms for NLP/text mining problems using deep learning will be highly desirable; knowledge of developing text mining workflows using UIMA based environment will be a plus. You should have excellent programming skills, preferably in Java.

* Duration of post: Immediately until 31st October 2018
* Salary: £31,076-£38,183 per annum

'''Research Team'''

The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research”.

Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).

Deadline of applications: 13/03/2017

Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12975

Employment opportunities, postdoctoral positions, summer jobs

2017-10-06T19:16:11Z

Stevenschockaert:

Employment opportunities, postdoctoral positions, summer jobs

2017-04-20T07:58:17Z

Stevenschockaert:

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== Two postdoc positions on plausible reasoning with vector space embeddings at Cardiff University ==

* Employer: Cardiff University
* Title: Postdoctoral Research Associate
* Specialty: vector space embeddings, statistical relational learning, knowledge representation, neural networks, explainable AI
* Location: Cardiff, UK
* Deadline: May 20, 2017
* Date posted: April 20, 2017
* Contact: [mailto:schockaerts1@cardiff.ac.uk Steven Schockaert]

Applications are invited for two Postdoctoral Research Associate posts at Cardiff University’s School of Computer Science & Informatics:
* The focus of the first position will be on developing methods for exploiting entity embeddings in statistical relational learning, to enable robust plausible reasoning from sparse relational data. Entity embeddings can be used to identify plausible formulas that are missing from a given knowledge base, intuitively by applying a kind of similarity or analogy based reasoning. Statistical relational learning can also be used to infer plausible formulas, but instead relies on modelling statistical dependencies among relational facts at the symbolic level. Unifying both methodologies will allow us to develop powerful inference methods that combine their complementary strengths. The resulting method will be applied to zero and one shot learning tasks, with a focus on automated knowledge base completion.
*The focus of the second position will be on learning vector space embeddings of events and the causal relations between them. In contrast to existing approaches, the learned embeddings will explicitly model which entities participate in the events, how they are related, and how their relationships are affected by different events. This will require combining ideas from neural network models for event embedding (e.g. based on LSTMs) with ideas from knowledge graph embedding models. Among others, the resulting model will allow us to uncover more intricate causal relationships, to generate supporting explanations for causal predictions, to incorporate prior knowledge, and to transfer learned knowledge between domains. Intended applications include recognising textual entailment, stock market prediction, and event-focused information retrieval.

Successful candidates are expected to have a strong background in natural language processing, machine learning, or knowledge representation. This research will be part of Steven Schockaert's FLEXILOG project, which is funded by the European Research Council (ERC)

Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available.

'''More information'''
For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5878BR. Please note the requirement to evidence all essential criteria in the supporting statement.

== Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis, University of Colorado Boulder ==

* Employer: University of Colorado Boulder
* Title: Postdoctoral Research Associate
* Specialty: Advanced Machine Learning
* Location: Boulder, Colorado, United States
* Deadline: Ongoing, desired start Summer/Fall 2017
* Date posted: March 31, 2017
* Contact: [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]

'''Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis''' 
(Institute of Cognitive Science and Department of Computer Science at the University of Colorado Boulder)

The Institute of Cognitive Science (ICS) and Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral fellow starting Summer/Fall 2017 for one year and renewable for a second 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 postdoc will develop and apply machine learning techniques in the hierarchical and temporal domains to model behavioral and mental states (e.g., affect, attention, workload) from multimodal data (e.g., video, audio, physiology, eye gaze) across a range of interaction contexts (e.g., online learning, in-class learning, 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, Cognitive Science, and Education.

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 advanced 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 for temporal and hierarchical domains (e.g., probabilistic graphical models, deep recurrent neural networks) applied to human behavior and mental state analysis (e.g., affective computing, dyadic/triadic interaction)
* Self-motivated with a strong work ethic and writing proficiency as evidenced by a strong publication record

'''Desired'''
* Research experience in one or more of the following areas (computer vision, eye tracking, computational psychophysiology, fMRI, multimodal fusion, collaborative problem solving, real-world sensing)
* Experience mentoring graduate and undergraduate students

'''Job Details'''
* 1-2 year position. Initial contract is for one year (providing renewal after 6-month probationary period). Second year contract is based on performance and availability of funds.
* Start date is negotiable, but anticipated for Summer/Fall 2017.
* Competitive salary with benefits commensurate with qualifications. This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible for monthly vacation and sick leave accruals.

'''How to apply''' 
Please complete Faculty/University Staff EEO Data (application) form ([https://goo.gl/YC9g94 https://goo.gl/YC9g94]) and upload the following required documents: 1—Cover letter; 2—Curriculum Vitae 3—List of Three References 4-One or two representative publications.

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].

'''Questions''' 
Please email [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]

== Researcher in Machine Learning and NLP, DFKI, Germany ==

* Employer: [http://www.dfki.de/ DFKI GmbH], Germany
* Title: Researcher
* Specialty: Machine Learning and Natural Language Processing, Deep Learning, Machine Translation
* Location: Saarbruecken
* Deadline: March 31, 2017
* Date posted: March 13, 2017
* Contact: [mailto:mlt-sek@dfki.de Prof. Josef van Genabith]

The Multilingual Technologies (MLT) Lab at DFKI is looking to expand its expertise in Machine Learning with a focus on Deep Learning, Machine Translation and possibly other areas of NLP. Depending on experience, the position is available at the Junior/Researcher/Senior/Principal Researcher level.

'''Key research responsibilities''' include:
* machine and deep learning for natural language processing/machine translation
* software development and integration
* publication in top-tier conferences and journals

'''General responsibilities''' include:
* engagement with industry partners and contract research
* identification of funding opportunities and engagement in proposal writing
* contribution to teaching and supervision in accordance with University and DFKI rules and regulations
* administrative work associated with programmes of research

'''Requirements:'''
* MSc/PhD in computer science, machine learning, natural language processing, computational linguistics or similar
* Strong background and track record in machine learning, neural nets and deep learning
* Strong background and track record in NLP and MT - Excellent programming skills
* Excellent problem solving skills, independent and creative thinking
* Excellent team working and communication skills
* Excellent command of written and oral English
* Command of German and other languages not a requirement but helpful

The successful applicant will work in the DFKI MLT lab led by Prof. Josef van Genabith (Scientific Director MLT, DFKI, and Chair of Translation-Oriented Language Technologies, Saarland University).

'''Working environment:'''
DFKI is one of the largest AI research institutes worldwide, with several sites in Germany, covering basic research and applications. DFKI is a not-for-profit company with more than 500 researchers from 60+ countries across the globe. DFKI is based on a shareholder model including globally operating companies such as Intel, Google, Microsoft, Nuance, SAP, BMW, VW, Bosch, Deutsche Telekom, several SMEs, three German universities and three German Federal States.

The DFKI Multilingual Technologies lab partners in international, national and industry funded research projects in all areas of Language Technologies (including machine translation, question answering, information extraction, human-robot communication, speech and the multi-lingual web). The MLT lab currently leads the H2020 European Research project [http://www.qt21.eu/ QT21] on MT, the EU CEF funded [http://lr-coordination.eu/ ELRC] project and the EU funded [http://www.tradr-project.eu/ TRADR] project on human-robot collaboration in disaster response scenarios.

The MLT lab is part of the DFKI site at the Saarland University campus in Saarbrücken, Germany. Saarland University has exceptionally strong Computer Science and Computational Linguistics departments, two Max Plank Institutes in Computer Science, an Excellence Cluster in [http://www.mmci.uni-saarland.de/en/start Multimodal Computing and Interaction] and several International Doctoral and Master programmes in Computer Science and Computational Linguistics. DFKI staff regularly engage in teaching and supervision at Saarland University.

'''Geographical environment:'''
[http://www.saarbruecken.de/en Saarbrücken] is the capital of Saarland with approximately 190,000 inhabitants. It is located right in the heart of Europe and is the cultural center of this border region of Germany, France and Luxembourg. Some of the closest larger cities are Trier, Nancy, Mannheim, Karlsruhe and Frankfurt. Paris can be reached by train in just under 2 hours. Living costs are modest in comparison with other large cities in Germany and elsewhere in Europe.

'''Starting date, duration, salary:'''
Preferred starting date is May/June 2017. The position is available until June 30, 2020, with opportunities for extension depending on performance and future funding. Compensation is competitive and reflects individual competence, seniority and special skills.

'''Application:'''
Applications are required to include a short cover letter, a CV, list of publications, a brief summary of research interests, and contact information for three references. Please send your electronic application (preferably in PDF format) to [mailto:mlt-sek@dfki.de Prof. Josef van Genabith] referring to job opening no. 22/17-JvG. Deadline for applications is March 31st, 2017. The position remains open until filled. Please contact [mailto:josef.van_genabith@dfki.de Prof. van Genabith] for informal inquiries.

== 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 Machine Learning (IML) or Natural Language Processing for Language Learning
* Location: Darmstadt
* Deadline: March 8, 2017
* Date posted: February 21, 2017
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]

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

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

to strengthen the group’s profile in the areas of Interactive Machine
Learning (IML) or Natural Language Processing for Language Learning.
The UKP Lab is a research group comprising over 30 team members who
work on various aspects of Natural Language Processing (NLP), of
which Interactive Machine Learning and Natural Language Processing
for Language Learning are the focus areas researched in collaboration
with partners in research and industry.

We ask for applications from candidates in Computer Science with a
specialization in Machine Learning or Natural Language Processing,
preferably with expertise in research and development projects, and
strong communication skills in English and German.

* The successful applicant in the area of Interactive Machine Learning will work on research activities regarding its application to end-user content annotation, information structuring and recommendation, or semantic text analysis, and development activities to create functional and attractive user-oriented product prototypes.
* The successful applicant in the area of Natural Language Processing for Language Learning will work on research activities in automatically assessing language competencies and readability as well as on generating exercise material for language learners in intelligent real-time learning systems.

Prior work in the above areas is a definite advantage. Ideally, the
candidates should have demonstrable experience in designing and
implementing complex (NLP and/or ML) systems, experience in
large-scale data analysis, large-scale knowledge bases, and strong
programming skills incl. Java. Experience with neural network
architectures and a sense for user experience design are a strong
plus. Combining fundamental NLP research on Interactive Machine
Learning or Natural Language Processing with practical applications
in different domains including education will be highly encouraged.

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
initiative "Knowledge Discovery in the Web" and the Research Training
Group [https://www.aiphes.tu-darmstadt.de/ "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.

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 08.03.2017. The positions
are open until filled. Later applications may be considered if the
position is still open.

== Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University ==
*Employer: Northwestern University, USA
*Title: Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University
*Speciality: Open area
*Location: Evanston, IL, USA
*Deadline: April 1, 2017
*Date posted: February 17, 2017
*Contact: matt-goldrick@northwestern.edu

The Department of Linguistics at Northwestern University invites applications for a full-time, non-renewable, two year postdoctoral fellowship in any area of linguistics. We are looking for candidates who pursue an integrated, interdisciplinary approach to the scientific study of language, utilizing experimental methods, corpus analysis, and/or computational modeling to inform linguistic theory and its applications. The fellowship period begins September 1, 2017. Each year, the fellow will be expected to teach one undergraduate-level course in the Department of Linguistics. The fellow will also serve as an undergraduate adviser for the Cognitive Science Program, working with students pursuing the major and minor on academic issues (e.g., course selection, research opportunities, progress on degree requirements).

The fellow will join a vibrant interdisciplinary community of researchers from across the cognitive sciences (including communication sciences, computer science, learning sciences, music cognition, neuroscience, philosophy, and psychology). The fellow’s research will be supported by the facilities of the Department of Linguistics.

To receive fullest consideration, applications should arrive by April 1, 2017. Candidates must hold a Ph.D. in Linguistics or a related field (e.g., Cognitive Neuroscience, Cognitive Science, Computer Science, Philosophy, Psychology, Speech and Hearing Sciences) by the start date. Please include a CV that includes contact information, brief statements of research and teaching interests (1-3 pages each), up to 3 reprints or other written work (including thesis chapters for ABD applicants), teaching evaluations (if available), and the names and contact information for three references. Please visit http://www.linguistics.northwestern.edu/ for online application instructions.

E-mail inquiries should be directed to Matt Goldrick, Chair of the Department of Linguistics (matt-goldrick@northwestern.edu). Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women and minorities are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.

== Postdoctoral Research Position in Interpretable Machine Learning at Cardiff University, UK ==
*Employer: Cardiff University, UK
*Title: Research Associate in Artificial Intelligence / Machine Learning
*Speciality: Vector Space Models, Deep Learning, Interpretable Machine Learning, Symbolic Models
*Location: Cardiff, UK
*Deadline: March 2, 2017
*Date posted: February 13, 2017
*Contact: schockaerts1@cardiff.ac.uk

Applications are invited for a Postdoctoral Research Associate post in Cardiff University’s School of Computer Science & Informatics. This is a full-time, fixed-term post for 30 months, starting on 1 May 2017 or as soon as possible thereafter. The successful candidate will be dedicated to finding creative solutions and have a genuine curiosity and enthusiasm to undertake world-class research in the field of Machine Learning / Artificial Intelligence. Specifically, the aim of this post will be to develop novel methods for learning interpretable/symbolic models from diverse sources of information, including knowledge graphs, vector space models and natural language text. These models will then be used as background theories in applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning. You will work closely with Steven Schockaert. You will possess or be near the completion of a PhD in Computer Science or a related area, or have relevant industrial experience.

This research will be part of the FLEXILOG project, which is funded by the European Research Council (ERC)

'''Essential criteria'''

* Postgraduate degree at PhD level, or near to completion of a PhD in a related subject area or relevant industrial experience
* An established expertise and proven portfolio of research and/or relevant industrial experience within at least two of the following research fields: Machine Learning, Knowledge Representation, Natural Language Processing.
* A strong background in statistics and linear algebra.
* Excellent programming skills.
* Knowledge of current status of research in specialist field.
* Proven ability to publish in relevant journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, Journal of Machine Learning Research, Machine Learning) or top-tier conferences (e.g. IJCAI, AAAI, ECAI, NIPS, ICML, KDD, ACL, EMNLP).
* Ability to understand and apply for competitive research funding.
* Proven ability in effective and persuasive communication.
* Ability to supervise the work of others to focus team efforts and motivate individuals.
* Proven ability to demonstrate creativity, innovation and team-working within work.

'''Background about the university'''

Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available. Various surveys have ranked it as one of the most liveable cities in Europe. Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. The school has a strong research track record recognised for its outstanding impact in terms of reach and significance, with 79% of its outputs deemed world-leading or internationally excellent in the 2014 Research Excellence Framework.

'''Background about the project'''

Vector space embeddings have become a popular representation framework in many areas of natural language processing and knowledge representation. In the context of knowledge base completion, for example, their ability to capture important statistical dependencies in relational data has proven remarkably powerful. These vector space models, however, are typically not interpretable, which can be problematic for at least two reasons. First, in applications it is often important that we can provide an intuitive justification to the end user as to why a given statement is believed, and such justifications are moreover invaluable for debugging or assessing the performance of a system. Second, the black box nature of these representations makes it difficult to integrate them with other sources of information, such as statements derived from natural language, or from structured domain theories. Symbolic representations, on the other hand, are easy to interpret, but classical inference is not sufficiently robust (e.g. in case of inconsistency) and too inflexible (e.g. in case of missing knowledge) for most applications.

The overall aim of the FLEXILOG project is to develop novel forms of reasoning that combine the transparency of logical methods with the flexibility and robustness of vector space representations. For example, symbolic inference can be augmented with inductive reasoning patterns (based on cognitive models of human commonsense reasoning), by relying on fine-grained semantic relationships that are derived from vector space representations. Conversely, logical formulas can be interpreted as spatial constraints on vector space representations. This duality between logical theories and vector space representations opens up various new possibilities for learning interpretable domain theories from data, which will enable new ways of tackling applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning.

'''More information'''

For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5545BR. Please note the requirement to evidence all essential criteria in the supporting statement.

== Research Associates in Natural Language Processing / Text Mining, University of Manchester, UK ==
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
*Title: Research Associates in Natural Language Processing / Text Mining
*Speciality: Natural Language Processing, Text Mining
*Location: Manchester, UK
*Deadline: March 13, 2017
*Date posted: February 10, 2017
*Contact: sophia.ananiadou@manchester.ac.uk

The School of Computer Science, National Centre for Text Mining at the University of Manchester seeks to appoint two Research Associates in Natural Language Processing-based Text Mining to expand its text mining research portfolio.

They will join a strong team of 12+ staff who work on numerous national and international research projects, including industry, in areas of information extraction, disambiguation, topic analysis, natural language processing, biomedical text mining and machine learning.

'''Skills'''

You should have a PhD in Computer Science with an emphasis on Natural Language Processing and Text Mining. The focus of your research will be in developing (semi)-supervised methods for information extraction, in particular relation, event extraction and normalisation; a proven ability to develop algorithms for NLP/text mining problems using deep learning will be highly desirable; knowledge of developing text mining workflows using UIMA based environment will be a plus. You should have excellent programming skills, preferably in Java.

* Duration of post: Immediately until 31st October 2018
* Salary: £31,076-£38,183 per annum

'''Research Team'''

The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research”.

Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).

Deadline of applications: 13/03/2017

Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12975

== Research Scientist Intern at Adobe Research, San Jose, California ==
*Employer: Adobe Systems Incorporated
*Title: Research Scientist Intern
*Speciality: NLP, machine learning and dialog.
*Location: San Jose, CA, USA
*Deadline: March 1, 2017
*Date posted: January 23, 2017
*Contact: bui@adobe.com

We are looking for PhD students with background in NLP, machine learning, dialog to work on 2 following projects:
1) Deep reinforcement learning for creative assistant
2) Reading order text extraction for PDF documents

== Assistant/Associate Professor Position in NLP/IR/Text/ML at University of California - Davis ==
*Employer: University of California - Davis
*Title: Assistant/Associate Professor
*Speciality: All areas of NLP/Text/IR/ML etc including those involved in multi-media analysis.
*Location: Davis, CA, USA
*Deadline: January 2, 2017
*Date posted: December 27, 2016
*Contact: davidson@cs.ucdavis.edu

The Department of Computer Science at the University of California at Davis invites applications for a faculty position at the rank of Assistant or Associate Professor in Computer Science, for appointments with a start date in Spring 2017, or later. We are targeting excellent candidates in all areas of machine learning and computational linguistics, with a special emphasis on all aspects of natural language processing, information retrieval, text analytics and text mining. The campus is especially interested in candidates who can contribute to the diversity and excellence of the academic community through their research, teaching, and service.

Applications received by 2nd January 2017 will receive full consideration. For further information see http://www.cs.ucdavis.edu/blog/faculty-employment-positions-2/

==Postdoctoral Fellow in Natural Language Processing / Machine Learning at Brigham and Women's Hospital / Harvard Medical School==
* Employer: Brigham and Women's Hospital / Harvard Medical School
* Title: Postdoctoral Research Fellow
* Topics: Natural Language Processing, Machine Learning, Predictive Modeling
* Location: Boston, MA
* Deadline: Open until filled
* Date Posted: December 23, 2016
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)

'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians led by Dr. Leonid Perlovsky (http://www.leonid-perlovsky.com/) and Dr. Alexander Turchin (https://connects.catalyst.harvard.edu/Profiles/display/Person/14588) on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.

'''Supervisor''': Alexander Turchin, MD, MS, FACMI; Leonid Perlovsky, PhD

'''Required skills''': strong mathematical background in statistics and machine learning; experience working with large datasets; experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with predictive modeling, medical terminologies / ontologies, python, MATLAB and Apache Spark is a strong plus.

'''Education''': PhD in computer science, biomedical informatics, or related discipline or an equivalent degree.

'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.

'''Available''': Immediately.

'''Compensation''': according to NIH (NRSA) stipend levels (https://grants.nih.gov/grants/guide/notice-files/NOT-OD-16-131.html).

'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.

== PhD Scholarship / Enhancing Scientific Text Summarization / Barcelona ==
*Title: PhD Scholarship / Enhancing Scientific Text Summarization with Academic Social Networks
*Location: Barcelona, Spain
*Deadline: February 2nd, 2017
*Date posted: December 12, 2016
*Contact: horacio.saggion@upf.edu

In the context of the Marie-Curie PhD InPhiNIT La Caixa program associated to the Maria de Maeztu Strategic Research Program, we are looking for a highly motivated PhD candidate in the area of Natural Language Processing to work in a project dealing with Scientific Text Summarization and Academic Social Networks.

The PhD will be carried out at the TALN research group of the Department of Information and Communication Technologies (DTIC), Universitat Pompeu Fabra (UPF) in Barcelona.

The PhD student should have background in Natural Language Processing with a solid knowledge of statistics, mathematics, computer programming and machine learning. Experience in Information Extraction, Text Summarization, or related areas would be appreciated.

Brief description of the project:

http://www.dtic.upf.edu/~hsaggion/scientific_summarization_social.html

How and where to apply (InPhiNIT program):

https://obrasociallacaixa.org/en/educacion-becas/becas-de-posgrado/inphinit/programme-description

The TALN research group:

http://taln.upf.edu/

Maria de Maeztu Strategic Research at DTIC:

https://www.upf.edu/web/mdm-dtic/description

http://ec.europa.eu/research/mariecurieactions/

Other:

You can contact Prof. Horacio Saggion for more information about the project.

Related information:

https://www.upf.edu/web/mdm-dtic/projects/-/asset_publisher/Ef1was9TxNY4/content/id/4113025#.WE6ZIH23nm4

http://taln.upf.edu/pages/coling2016tutorial/

== Lecturer/Senior Lecturer openings in Artificial Intelligence and Machine Learning at Imperial College London, UK ==
*Employer: Department of Computing, Imperial College London
*Title: Lecturer/Senior Lecturer openings in Artificial Intelligence and Machine Learning
*Speciality: Artificial Intelligence and Machine Learning, including (but is not limited to): machine learning for text and speech.
*Location: London, UK
*Deadline: January 16, 2017
*Date posted: December 8, 2016
*Contact: margaret.hall@imperial.ac.uk

The Department of Computing at Imperial College London invites applications for full-time faculty members at the Lecturer/Senior Lecturer level (comparable to American tenure-track Assistant Professorships) who can contribute to research and teaching, in particular in the area of Artificial Intelligence and Machine Learning. This includes (but is not limited to): autonomous systems; knowledge representation and reasoning; planning; machine learning for speech, audio and text; optimization and data mining.

Notwithstanding the above focus, exceptional candidates from any area of Computer Science are also encouraged to apply.

The deadline for applications is 16th January 2017. For further information see http://www.imperial.ac.uk/computing/job-vacancies/

== Research Fellow in Biomedical Text Mining, University of Manchester, UK ==
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
*Title: Research Fellow
*Speciality: Natural Language Processing, Text Mining
*Location: Manchester, UK
*Deadline: December 18, 2016
*Date posted: November 28, 2016
*Contact: sophia.ananiadou@manchester.ac.uk

Applications are invited for a postdoctoral research fellow in Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester. The position is for 2 years.

The objective of this BBSRC funded post is to conduct research into extracting complex information (entities and events) from the scientific literature to support metabolic model development.

Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in biomedical text mining (event extraction); excellent knowledge in developing and adapting algorithms for text mining systems; strong publication record; excellent programming skills.

* Duration of post: 1st January 2017 to 31st December 2018
* Salary: £39,324 to £48,327 per annum

'''Research Environment '''

The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems.
NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".

The project will involve close collaboration with a team of experts focusing on metabolomics and cheminformatics.
More information about the project: http://www.nactem.ac.uk/empathy/

Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).

Application form and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12531

== 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: NLP
* Location: Darmstadt
* Deadline: December 12, 2016
* Date posted: November 23, 2016
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]

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

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

to strengthen the group’s profile in the areas of Interactive Machine Learning (IML) or Computational Argumentation (CA). The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Interactive Machine Learning and Computational Argumentation are the rapidly developing focus areas in collaboration with partners in research and industry.

We ask for applications from candidates in Computer Science with a specialization in Machine Learning or Natural Language Processing, preferably with expertise in research and development projects, and strong communication skills in English and German.
- The successful applicant in the area of interactive machine learning will work on research activities regarding its application to end-user content annotation, information structuring and recommendation, or semantic text analysis, and development activities to create the corresponding product prototypes.
- The successful applicant in the area of Computational Argumentation will work on research activities in analyzing the discourse of future professionals while reasoning to automatically access their argumentation quality given small amounts of training data, and development activities for the research prototype.
Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP and/or ML) systems, experience in information retrieval, large-scale data processing and large-scale knowledge bases, and strong programming skills incl. Java. Experience with neural network architectures is a strong plus. Combining fundamental NLP research on Interactive Machine Learning or Computational Argumentation with practical applications in different domains will be highly encouraged.

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 initiative "Knowledge Discovery in the Web” and the Research Training Group [https://www.aiphes.tu-darmstadt.de “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.

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 15.12.2016. The positions are open until filled. Later applications may be considered if the position is still open.

== One Teaching Track and One Tenure Track position open at the Language Technologies Institute at Carnegie Mellon University (Pittsburgh, PA USA) ==
Employer: Language Technologies Institute, School of Computer Science, Carnegie Mellon University

Title: Assistant Teaching Professor and Assistant Professor

Specialty: Natural Language Processing, Computational Linguistics, Machine Learning and Statistical Methods for NLP, Social Media Analysis
* Deadline: January 3, 2017
* Date posted: 10th November 2016
* Contact: [mailto:cprose@cs.cmu.edu Dr. Carolyn P.Rose]

The Language Technologies Institute (LTI) in the School of Computer Science (SCS) at Carnegie Mellon University invites applications for teaching-track and tenure-track positions, beginning Fall 2017. LTI is an academic department dedicated to the study of human language and information technologies, with approximately thirty faculty members. LTI is one of seven departments within SCS, which has over 200 tenure-track, research, and teaching faculty with expertise spanning traditional computer science, human computer interaction, language technologies, machine learning, computational biology, software engineering, and robotics. SCS offers a highly collaborative and uniquely interdisciplinary environment that promotes innovation and entrepreneurship in both teaching and research.

The teaching track is a career-oriented, renewable appointment with an initial appointment of three years. Initial teaching-track appointments are typically at the rank of Assistant Teaching Professor, with the possibility of promotion to the ranks of Associate Teaching Professor and Teaching Professor. These ranks are not tenured, but they do provide substantial opportunities for professional growth and long-term contributions to Language Technologies education at Carnegie Mellon University. Teaching track faculty contribute to the design of new curricula and the adoption of new teaching methods.
For more information about this position, see: http://lti.cs.cmu.edu/teaching-track-faculty-position

We are also seeking to hire on the tenure track. Tenure track appointments are typically at the rank of Assistant Professor, with the possibility of promotion to the ranks of Associate Professor and Professor. Tenure-track applicants must have strong interests and accomplishments in both research and teaching. For more information about this position, see: http://lti.cs.cmu.edu/tenure-track-faculty-position

== One Post-doctoral position in Statistical Machine Translation in CUNY (at Manhattan, NYC) ==

Employer: Department of Computer Science at Hunter College, University of New York
Title: post-doctoral position
Specialty: Machine Translation
Location: Manhattan, NYC, NY
* Deadline: Open until filled
* Date posted: 6th November 2016
* Contact: [mailto:Jia.Xu@hunter.cuny.edu Dr. Jia Xu]

The Statistical Machine Learning and Translation group of Dr. Xu at the City University of New York is inviting applications for one post-doctoral position. This is a splendid opportunity to conduct research blending very applied research (i.e. industrial-level Machine Translation systems) with foundational research in statistical machine learning. Dr. Xu’s group has an excellent record (e.g. winning first-place) in the international machine translation competitions during the last decade. The current research has evolved into exciting areas beyond statistical machine translation, such as in the foundations of machine learning and in frameworks in understanding the underlying geometry of languages.

Applicants should hold by the time the appointment begins a PhD (or its equivalent) in Computer Science, Computer Engineering, Statistics, Mathematics, Physics or in a related discipline. We are seeking for applicants committed to either (1) extending their current research program in statistical Natural Language Processing or (2) employing their analytical and engineering skills and join in our current research program. Therefore, this position can be also seen as an opportunity to fast-forward develop statistical NLP skills and conduct cutting-edge research in this field.

The position is for 1 year with the possibility of extending it up to 3 years. The starting date is flexible.

The Hunter College at the City University of New York may ask the post-doctor to take up a very moderate teaching load (can be waived based on research promise). The salary commensurate with qualifications and research potential and starts from $50K/year.

Hunter college is located in upper-east Manhattan. This is an extremely vibrant research location with numerous opportunities for collaboration. Hunter college is surrounded by top research labs (e.g. Google Research, Microsoft Research, Facebook, IBM Research), and many other university departments (e.g. Princeton, Columbia, NYU).

Applications should include a recent CV and optionally a research statement and 2 representative publications. Applications should be sent to Dr. Jia Xu by email to: jia.xu@hunter.cuny.edu including in the Subject title the keyword: “Application”.

All applicants will be notified upon receipt of the application by email.

This position will be advertised at http://jiaxu.org until is filled.

Hunter is committed to a policy of equal employment and equal access in its educational programs and activities. Diversity, inclusion, and an environment free from discrimination are central to the mission of the City University of New York.

== Three fully funded PhD Positions in Statistical Natural Language Processing in CUNY (at Manhattan, NYC) ==

Employer: Department of Computer Science at Hunter College, University of New York
Title: fully-funded PhD position
Specialty: NLP
* Location: Manhattan, NYC, NY
* Deadline: Open until filled
* Date posted: 6th November 2016
* Contact: [mailto:Jia.Xu@hunter.cuny.edu Dr. Jia Xu]

The Statistical Machine Learning and Translation group of Dr. Xu at the City University of New York is inviting applications for fully-funded PhD student positions starting in 2017. This is a splendid opportunity to conduct research blending very applied research (i.e. industrial-level Machine Translation systems) with foundational research in statistical machine learning. Dr. Xu’s group has an excellent record (e.g. winning first-place) in the international machine translation competitions during the last decade. The current research has evolved into exciting areas beyond statistical machine translation, such as in the foundations of machine learning and in frameworks in understanding the underlying geometry of languages.

Applicants should hold by the time that begin their PhD studies a BSc, BEng (or its equivalent) in Computer Science, Linguistics, Computer Engineering, Statistics, Mathematics, Physics or related disciplines. We are seeking for very motivated students with enthusiasm and dedication in conducting cutting-edge research in statistical methods over massive amounts of data. Natural Language Processing is the prototypical domain where Machine Learning and Big Data are required to come together.

The typical duration of the PhD program is from 3 to 4 years.

The Hunter College at the City University of New York asks that the PhD candidate should take up two teaching assistantships per year. The admitted student will be offered to have the tuition fees covered and also stipend sufficient to cover the living cost.

Hunter college is located in upper-east Manhattan. This is an extremely vibrant research location with numerous opportunities for internships and collaboration. Hunter college is surrounded by top research labs, such as Google Research, Microsoft Research, Facebook, and IBM Research.

Application material: CV and optionally a statement of purpose letter, GRE, and TOELF/IELTS results. Applications should be sent to Dr. Jia Xu by email to: Jia.Xu@hunter.cuny.edu including in the Subject title the keyword: “PhD".

All applicants will be notified upon receipt of the application by email.

This position will be advertised at http://jiaxu.org until the position is filled.

Hunter is committed to a policy of equal employment and equal access in its educational programs and activities. Diversity, inclusion, and an environment free from discrimination are central to the mission of the City University of New York.

== Funded PhD Position in Natural Language Processing in Barcelona ==

* Employer: Department of Information and Communication Technologies at Universitat Pompeu Fabra
* Title: PhD studentship position
* Specialty: NLP
* Location: Barcelona, Spain
* Deadline: August 8th, 2016 (or until filled)
* Date posted: 29th July 2016
* Contact: [mailto:horacio.saggion@upf.edu Prof. Horacio Saggion]

The Department of Information and Communication Technologies at Universitat Pompeu Fabra in Barcelona, Spain, invites applications for a PhD studentship position that is associated with the María de Maeztu Units of Excellence Research Program of the Spanish Government (http://www.upf.edu/mdm-dtic), and involves joint work of the research labs of profs. Horacio Saggion and Ricardo Baeza-Yates. This position will be funded under the FPI call to be launched by the Spanish Ministry of Economy and Competitiveness.

Project Description

In the context of our Maria de Maeztu (MdM) project "Mining the Knowledge of Scientific Publications" ( see http://www.upf.edu/mdm-dtic) the PhD student will carry out a research project on the more focused area of automatic research paper assessment which concerns a number of interesting research questions including but not limited to:

* automatic research paper evaluation
* automatic research paper/author impact prediction
* automatic novelty evaluation

The PhD will benefit from the resources developed during MdM project: availability of large scale open scientific repositories, natural language processing technology adapted to scientific text processing, document retrieval technology, etc. as well as the expertise of the MdM team members.

Applicants

Candidates should hold a M.Sc. in Computer Science or related field with a solid background in Natural Language Processing and be proficient in spoken and written English. Experience with recent advances in Machine Learning and Information Retrieval would be highly valuable. Knowledge of statistical analysis is highly desirable.

More information

For informal inquiries, prospective candidates may contact professor Horacio Saggion at horacio DOT saggion AT upf DOT edu

For more information please check the official announcement at

https://portal.upf.edu/web/etic/automatic-research-assessment?p_p_id=56_INSTANCE_MaAxd6TFfhia&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&p_p_col_id=column-1&p_p_col_count=1

== Research Fellow in Biomedical Text Mining, University of Manchester, UK ==
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
*Title: Research Fellow
*Speciality: Natural Language Processing, Text Mining
*Location: Manchester, UK
*Deadline: August 13, 2016
*Date posted: July 18, 2016
*Contact: sophia.ananiadou@manchester.ac.uk

Applications are invited for a postdoctoral research fellow in Biomedical Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester.

The objective of this BBSRC funded post in collaboration with Unilever is to conduct research into extracting complex information from the scientific literature to support metabolic pathway curation using text mining methods.

Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in information extraction at large scale; excellent knowledge in developing and adapting algorithms for text mining systems; machine learning; experience in biomedical Text Mining; strong track record of high-quality papers in conferences such as ACL, EMNLP, etc., and in high quality journals; excellent programming skills; proven ability to develop independently research proposals.

* Duration of post: until 31st March 2018 with possibility of extension
* Salary: £38,896 to £47,801 per annum

'''Research Environment '''

The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems.
NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".

The project will involve close collaboration with a team of experts focusing on metabolomics and cheminformatics.
More information about the project: http://www.nactem.ac.uk/empathy/

Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).

Application form and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=11856

== Computational Linguist-Morphology ==

* Employer: [http://www.edcknowledge.com/ Esprit de Corps Corporation (EdC)], US
* Title: Computational Linguist-Morphology
* Specialty: Application of Finite State Transducers (FST) to language processing technologies, development of FST networks for languages, integration of morphological analyzers.
* Location: Various US Locations
* Deadline: Open
* Date posted: June 19, 2016
* Contact: [mailto:jlay@edcknowledge.com. Jim Lay]

EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.

The Computational Linguist-Morphology provides unique expertise with the application of FST to language processing technologies, to include the development of FST networks for languages, the integration of morphological analyzers in multilingual databases/search engines and the development of APIs for managing FST I/O in a multilingual environment.

''Qualifications''

*A master's degree in computer science and/or linguistics, or in a related field; eight (8) years related experience in FST technologies for language applications may be substituted for a master's degree.

*Within the last ten (10) years, shall have a minimum of seven (7) years experience programming language networks in one or more FST applications such as XSFT, Stuttgart Finite State Transducer Toolkit, OpenFST, FOMA, or other product with equivalent functional capabilities.

*Shall have a minimum of five (5) years experience coding with two (2) or more of the following: C, C++, or Java. Shall also have a minimum of five (5) years experience with Perl and/or Python scripting languages.

*Within the last ten (10) years, shall have a minimum of five (5) years experience with linguistics and language structure, language processing technologies, and/or with applying morphologies to multilingual databases/search engines.

*Shall have a minimum of five (5) years experience with two (2) or more foreign languages. Shall have demonstrated experience with international encodings, to include converting and handling multilingual encoding, such as UTF-8.

''Applicants must be United States citizens able to acquire a personal security clearance.''

For more information about the post and for '''applications''': http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist-Morphology".

== Computational Linguist ==

* Employer: [http://www.edcknowledge.com/ Esprit de Corps Corporation (EdC)], US
* Title: Computational Linguist
* Specialty: Integration of NLP Modules, Experimentation with User Interfaces for Analytic Support, Web Services for Querying Extracted Results.
* Location: Various US Locations
* Deadline: Open
* Date posted: June 19, 2016
* Contact: [mailto:jlay@edcknowledge.com. Jim Lay]

EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.

The Computational Linguist provides unique expertise with the application of computer science to language processing technologies, to include experimentation with, and integration of, unique NLP modules, experimentation with user interfaces for analytic support, web development, and development of web services for querying extracted results.

''Qualifications''

*MA in computer science and/or linguistics, or in a related field (8 years related experience may be substituted for a Master's Degree).

*Within the last 10 years shall have a minimum of 7 years experience each programming: C, C++, or Java.

*Within the last 5 years, shall have a minimum of 3 years programming with two or more scripting languages (e.g. Perl, Python).

*Within the last 10 years, shall have a minimum of 5 years experience with linguistics and language structure, language processing technologies, and/or with applying ontologies to NLP applications.

*A minimum of 5 years experience with two or more foreign languages is required.

*Shall have demonstrated experience developing software in a Linux environment, with Semantic Web technologies (e.g. RDF, OWL), and with international encodings, to include converting and handling multilingual encoding, such as UTF - 8 is required.

''Applicants must be United States citizens able to acquire a personal security clearance.''

For more information about the post and for '''applications''': http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist".

== Research Associate/Fellow in Machine Learning, University of Sheffield, UK ==
* Employer: [http://www.sheffield.ac.uk/ University of Sheffield], UK
* Title: Research Associate/Fellow
* Specialty: ML
* Location: Sheffield
* Deadline: July 18, 2016
* Date posted: June 17, 2016
* Contact: [mailto:l.specia@sheffield.ac.uk Prof. Lucia Specia]

We have an opening for a 3-year position of Research Associate or Research Fellow in Machine Learning with applications to Machine Translation and Multimodal Language Processing. This position is funded by the ERC MultiMT project: Multi-modal Context Modelling for Machine Translation, led by Prof. Lucia Specia (www.dcs.shef.ac.uk/~lucia) at the University of Sheffield.

This is a highly interdisciplinary project involving Natural Language Processing, Computer Vision and Machine Learning. Its goal is to devise methods and algorithms to exploit global multi-modal information for context modelling in Machine Translation. The post holder will be expected to investigate new ways to acquire multilingual multi-modal representations, and new machine learning and inference algorithms that can learn from these rich context models to generate high quality translations. In addition, if appointed as Research Fellow, the post holder will be expected to make significant contributions to multi-modal language processing in general, drawing from their experience in Computer Vision and Natural Language Processing.

This is an opportunity to work in a well-connected international team with world-leading reputation in the Natural Language Processing (NLP) research group at the University of Sheffield. The NLP group is well known internationally for its research, and is one of the largest research groups in the area in Europe.

This post offers excellent opportunities for publications, project visits and conference trips. Applicants should have (for Research Associate (RA) and Research Fellow (RF) posts):

* PhD (or equivalent work experience) in Computer Science, Statistics, Mathematics or related areas
* Significant experience and track record in Machine Learning (RA and RF)
* Strong publication record commensurate with career stage (RA and RF)
* Experience and strong track record in Computer Vision (desirable for RA, required for RF)
* Experience and strong track record in Natural Language Processing (desirable for both RA and RF)
* Strong programming experience, particularly in Python or C++. (RA and RF)

This post is fixed-term with a start date from August 2016 (or soon after) and duration of ''3 years'' with possibility of extension to ''5 years''.

'''Salary range''': £28,847 to £46,414 per annum.

For informal inquiries contact Dr. Lucia Specia: L.Specia@sheffield.ac.uk

For more information about the post and for '''applications''': http://www.shef.ac.uk/jobs, Search and apply for jobs using reference number UOS014018

== Doctoral Researcher at UKP/KRITIS, TU Darmstadt ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Doctoral researcher
* Specialty: NLP
* Location: Darmstadt
* Deadline: July 10, 2016
* Date posted: June 10, 2016
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]

KRITIS ("Kritische Infrastrukturen: Konstruktion, Funktionskrisen und Schutz in Städten"), a new interdisciplinary research training group at Technsiche Universität Darmstadt and funded through the German Research Foundation, is currently seeking a '''Doctoral Researcher''' to start on 1 October 2016.

KRITIS researches systems for technical supply and disposal, and for communication and transport, which have become the central nervous system of modern cities. Their disruption can trigger dramatic crises. Modern city infrastructures are increasingly vulnerable not only to external threats (natural disasters, terrorist attacks, and cyber attacks) but also due to their inherent complexity and interdependence. Our aim is to understand and describe these complex systems in their spatial and temporal contexts. This is done in three main research areas:

# We want to ensure that technical infrastructures are constructed with the term "critical" in mind. We therefore ask what technical-functional needs, and political and social considerations, are relevant, and how these vary according to the systems' historical and spacial context.
# We assume that the complex spatial and temporal arrangements become particularly visible during infrastructural-functional crises. We therefore investigate failures of urban infrastructures, including the conditions contributing to their vulnerability or resilience.
# Finally, we ask how we can best organize protection against or preparation for infrastructural-functional crises (so-called "prevention and preparedness").

Research in the training group takes an interdisciplinary approach, with cooperation among the following specialities: space and infrastructure planning, modern and contemporary history, medieval history, philosophy of technology, comparative analysis of political systems, ubiquitous knowledge processing, urban design and planning, rail systems, and computer science for architecture and construction.

In this area, the discipline of ubiquitous knowledge processing (Prof. Iryna Gurevych) is concerned with the interactions between urban infrastructure (e.g., transport, telecommunications), communication in social media, and the relevant spatial and temporal analysis methods from the perspective of adaptive information and text processing. This will be of particular interest to doctoral candidates in the fields of real-time text analysis which can be applied to the early detection of crises, to public opinion-making, or to crisis management through automated evaluation of (online) content such as Twitter.

Possible dissertation topics include:
* Social-spatial differences of criticality: location- and class-specific text-analytic mining of argumentation on urban infrastructure in social media
* Mining of arguments on urban infrastructure in social media for cascading reactions (i.e., spatio-temporal spread of social media responses to the collapse of urban infrastructure)
* Early recognition of vulnerability: Real-time monitoring of information on hazards to urban infrastructure in social media
* User expectations on the speed of resolution of infrastructural failures – comparison and analysis of tweets across national boundaries

For discussion or advice on further possible research topics and organizational issues, please contact Prof. Iryna Gurevych at [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de].

'''Requirements:''' The successful applicants should produce a doctoral dissertation related to one or more of the above-noted research priorities. This dissertation should be completed within three years and submitted to one of the departments of Technische Universität Darmstadt. Further information on KRITIS's scientific program and its participating professors will be available soon on the following website: [http://www.kritis.tu-darmstadt.de http://www.kritis.tu-darmstadt.de]

It is expected that all members of the research training group will be intensively engaged in interdisciplinary cooperation leading to scholarly publications and lectures. To this end, regular participation in seminars, symposia, workshops, etc. is required, which necessitates the doctoral candidates being domiciled in the Rhine-Main area.

'''Working environment and conditions:''' KRITIS offers an excellent research infrastructure for doctoral students who wish to carry out their own research project within an innovative and internationally networked program. The members of the group work in shared offices under the support and patronage of participating professors. Among the special services include the possibility of a financed stay abroad in one of four internationally renowned partner universities. We also work with various partners in the private and public sector (companies, government offices, and other organizations) at which candidates can complete internships.

Salaries for doctoral candidates depend on qualifications and experience, and will be in line with the collective agreement for employees at TU Darmstadt (TV-TU Darmstadt). The positions are limited to three years and include, depending on the field, 65% to 100% (full-time) employment.

'''Your application:''' TU Darmstadt strives to increase its number of female employees, and as such particularly encourages women to apply. All other things being equal, applicants who have a degree of disability of at least 50% (or the equivalent) will receive preference. Please prepare your application in English or German, and compressed as a single file (up to 6 MB). Applications should be sent by e-mail to Prof. Gurevych at [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by '''10 July 2016'''. The application should include a CV listing language skills and overseas experience, scanned copies of academic credentials, and a sketch of up to five pages for a doctoral project.

We look forward to receiving your application!

== Doctoral Researcher in NLP at TU Darmstadt and/or University of Heidelberg ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] and/or [http://www.uni-heidelberg.de/ Ruprecht-Karls-University Heidelberg], Germany
* Title: Doctoral researcher
* Specialty: NLP
* Location: Darmstadt and/or Heidelberg, Germany
* Deadline: June 30, 2016
* Date posted: June 6, 2016
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]

The Research Training Group „Adaptive Information Preparation from Heterogeneous Sources“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling a position for three years, starting as soon as possible: '''Doctoral Researcher in Natural Language Processing'''

The position provides the opportunity to obtain a doctoral degree with an emphasis on the guiding theme D1: Multi-level models of information quality, under the leadership of Prof. Dr. Iryna Gurevych (UKP Lab, TU Darmstadt). A possible research focus of the position is an automatic claim checking with its applications in the domain of computational journalism. However, other suitable topics may be proposed as well. 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 a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment are being developed. AIPHES investigates a novel scenario for information preparation from heterogeneous sources, within the application context of multi-document summarization. There exists close interaction with end users who prepare textual documents in an online editorial office and therefore profit from the results of AIPHES.

Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler, Dr. Meyer), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann). Participants at the Ruprecht‑Karls‑University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS). Cooperating partners are the Institute for Communication and Media of the University of Applied Sciences Darmstadt and other partners in the area of online media.

AIPHES emphasizes close contact between students and their advisors, has 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 actively supports 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 able 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. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht‑Karls‑University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally.

Applications should include:

* a motivational letter explaining the applicant’s possible contribution to the guiding theme D1,
* 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.

They should be submitted until June 30th, 2016 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de].

== Full Professor (W3) for Real-Time Data Analytics at TU Darmstadt ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Full Professor
* Specialty: Real-Time Data Analytics, with interdisciplinary experience in NLP
* Location: Darmstadt, Germany
* Deadline: July 6, 2016
* Date posted: June 1, 2016
* Contact: [mailto:dekanat@informatik.tu-darmstadt.de dekanat@informatik.tu-darmstadt.de] (for applications); [mailto:gurevych@ukp.informatik.tu-darmstadt.de Iryna Gurevych] (for further information)

The Department of Computer Science at Technische Universität Darmstadt invites applications for the position of '''Full Professor (W3) for Real-Time Data Analytics''' to be appointed as soon as possible.

We are seeking an outstanding researcher to establish the Department’s new area of real-time data analytics through research and teaching. The main focus of the professorship will be on excellent, method-oriented research, with close links to systems and applications. It is also expected that the successful candidate plays a formative role in cross-department and interdisciplinary research activities; the bridge to engineering departments of the university, in particular to the department of mechanical engineering, is particularly important in this respect.

Relevant topics include real-time data analytics on dynamic data streams of various types (including sensor data, text, and images), adaptive information processing and integration, and interactive machine learning. Further topics of research include data analysis and its applications in the mining of data and data streams of heterogeneous nature, quality, and quantity and in the support of decision-making processes, decision management, and the creation of self-organizing systems. Example application areas include automotive engineering, transport and logistics, and cognitive information processing for information validation on the Web.

We expect applicants to have interdisciplinary experience in the use of data analysis methods in cooperation with scientists from other fields as well as with industrial partners. The professorship is intended to strengthen those profile areas of TU Darmstadt in which real-time requirements and interactivity play a central role, such as the Internet and digitization and their associated research fields such as data science, Industry 4.0, autonomous driving, smart transport and energy networks, smart buildings, but also '''natural language processing''', cognitive science, and cybersecurity.

In addition to an outstanding academic CV, applicants must demonstrate a strong commitment to teaching computer science (incl. foundational courses) at the Bachelor’s and Master’s levels. A willingness to participate in academic self-administration is also expected.

Technische Universität Darmstadt is an autonomous university with a wide-ranging excellence in research, an interdisciplinary profile, and a strong focus on engineering as well as on information and communication technologies. Our Department is one of the leading national Computer Science departments and regularly ranked in the top group in national rankings.

Employment will be on a non-tariff basis, with qualification-based compensation based on the German W-level salary. Applicants who are already professors classed as German civil servants (''Beamter'') can retain this status. Employment regulations from §§61 and 62 of the ''Hessisches Hochschulgesetz'' apply.

Technische Universität Darmstadt is committed to increase the proportion of female scientific staff and therefore particularly encourages women to apply. All other things being equal, we will give preference to candidates with a degree of disability of at least 50 (or the equivalent).

Applications, including all the usual supporting documents, should be submitted to the Dean of the Department of Computer Science, Technische Universität Darmstadt, Hochschulstr. 10, 64289 Darmstadt, Germany, e-mail dekanat@informatik.tu-darmstadt.de. Please quote '''reference No. 244'''.

For further information, please contact Prof. Dr. Iryna Gurevych, tel. [+49] (0)6151 16 25290, gurevych@ukp.informatik.tu-darmstadt.de

==NLP Postdoctoral Researcher at UNSW, Australia==

* Employer: The University of New South Wales, Australia
* Title: Research Associate/Fellow
* Specialty: NLP, Knowledge Graph
* Location: Sydney, Australia
* Deadline: June 6th, 2016
* Date posted: May 14th, 2016
* Contact: Wei Wang (weiw@cse.unsw.edu.au)

'''POSITION DESCRIPTION'''

A postdoctoral position is available in School of Computer Science and
Engineering at the University of New South Wales, Australia. The successful
candidate will work with Dr. Wei Wang on utilizing Natural language processing
(NLP), data mining, and semantic web to develop novel algorithms, tools and
methods for constructing and maintaining domain-specific knowledge graphs from
vast amount of unstructured/semi-structured data sources. This position is
funded by Data to Decisions Cooperative Research Centre (D2D CRC), which was
established in 2014 with a grant of A$25 million from the Australian Government,
researchers and industry to provide the Big Data capability resulting in a safer
and more secure nation and a sustainable Big Data workforce for Australia.

'''POSITION REQUIREMENTS'''

Essential criteria:

* Proven ability to undertake research in a relevant research area (e.g. natural language processing, data mining, knowledge graph) at an international level, as evidenced by research output.
* Excellent programming skills (java or C/C++).
* A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, KDD, IJCAI, AAAI, ICML, NIPS, SIGMOD, VLDB) and journals.
* Proven ability to communicate specialist ideas clearly in English using written media.
* Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.
* A PhD in Computer Science or closely related area, or equivalent experience. Candidates with pending degrees who will successfully defend their dissertations by August 1, 2016 will also be considered.

Desirable criteria:

* Knowledge of statistical natural language processing.
* Knowledge of knowledge graph construction and applications.
* Experience with analysing large text corpora using a high-performance computing environment.
* Experience with python/R

'''SALARY RANGE AND CONTRACT LENGTH'''

* Research Associate: A$86,438 - A$92,453 per year (plus employer superannuation)
* Research Fellow: A$97,090 - A$114,454 per year (plus employer superannuation)

This is a fixed term position of one year with further renewal up to January 2019, subject to funding.

'''ENVIRONMENT'''

The School of Computer Science and Engineering in UNSW, located in Sydney, is
one of the largest and leading computing schools in Australia. It offers both
undergraduate and postgraduate programs in Software Engineering, Computer
Engineering, Computer Science and Bioinformatics, as well as a number of
combined degrees with other disciplines. It attracts excellent students who have
an outstanding record in international competitions (such as Robocup).

'''APPLICATION'''

Please send a statement of interest, an academic CV (in pdf format) to Wei Wang
(weiw@cse.unsw.edu.au) with the subject line starting with "[CRCPostdoc]". For
informal queries, please send an email to weiw@cse.unsw.edu.au.

==Computer Science Postdoctoral Researcher in Natural Language Processing for Social Science==

* Employer: University of Pennsylvania
* Title: Postdoctoral Researcher
* Specialty: NLP
* Location: Philadelphia, PA
* Deadline: May 15th, 2016
* Date posted: April 26th, 2016
* Contact: Professor Lyle Ungar: ungar@cis.upenn.edu

'''Summary'''

We invite applicants for a postdoctoral research position in natural language processing for health and social science, working on an interdisciplinary research project studying subjective well-being and health outcomes. The researcher will help develop state-of-the-art methods and models to better understand people, such as predicting personality from the words they use and automatically recognizing cognitive distortions typical of people prone to depression.
The primary responsibility will, of course, be producing top-quality published research in areas of interest to you and the WWBP team. You will be expected to lead multiple peer-reviewed publications each year and to support (as secondary author and technical expert) many more publications. As part of that latter process, we would like you to serve as the equivalent of a “Chief Technology Officer” of the WWBP, providing technical oversight and mentoring to the programmers and data scientists who build and maintain our software and hardware infrastructure, and who do the vast bulk of the data collection and analysis for the WWBP.

The ideal candidate will have research experience in computational linguistics and applied machine learning. They will develop and code novel methods to leverage large datasets (i.e. billions of tweets) and use them to further our understanding of health, well-being, and the psychological states of individuals and large populations. Methods and results will be published in high impact computer science venues and, via collaboration with psychologists and medical doctors, in social science and health venues. See wwp.org for example publications.

Approximate Start Date: Summer 2016

'''How to Apply'''

Send a detailed CV with at least 2 references who can be contacted for letters to applications@wwbp.org. Include job-code “POSTDOC-CS” in subject line.

==Research Scientist, Natural Language Processing==

* Employer: EMR.AI Inc.
* Title: Research Scientist
* Specialty: NLP
* Location: San Francisco, CA
* Deadline: May 20th, 2016
* Date posted: April 21th, 2016
* Contact: David Suendermann-Oeft ([mailto:david@emr.ai david@emr.ai])

Headquartered in San Francisco, CA, EMR.AI Inc. is a leading provider of AI solutions to the medical sector. EMR.AI transforms unstructured information, in form of written, spoken, or typed reports, clinical test results, and radiographs into international standard codes saved in common EMR systems. The wealth of discrete medical data provided through this transformation in conjunction with EMR.AI's suite of medical analytics solutions enables stakeholders, practitioners, researchers, health providers, and policy makers to obtain a comprehensive picture of the available medical data in their organization.

'''Summary'''

EMR.AI Research & Development has openings for Research Scientists in the field of Natural Language Processing in our Downtown San Francisco offices. Scientists will work on projects spanning a variety of tasks including the semantic interpretation of written and spoken medical reports, the design of language models for a variety of NLP tasks and speech recognition, the summarization of written and spoken language in the medical domain, the incorporation of lexica, ontologies, relational databases, and other sources of structured and unstructured knowledge sources into EMR.AI’s medical NLP tool set, and others.

This is a unique opportunity to be part of a cutting-edge R&D team in the epicenter of the world’s AI tech industry with true impact on medical research.

'''Responsibilities'''

* Process huge corpora of medical textual documents to perform syntactic and semantic analyses and train, tune, and test probabilistic and other data-driven models, using both existing tool benches, proprietary and open-source, as well as self-developed algorithms and techniques.
* Produce high-quality programs and scripts to embed scientific algorithms into effective prototypes and demos to be shared with EMR.AI’s leadership team, its customers, partners, and vendors.
* Create and document technological innovations by means of patent disclosures, scientific publications, media alerts, and other channels.
* Work closely with EMR.AI’s speech processing team and its software engineering division to produce innovative and effective solutions for a range of AI products and services in the medical domain.
* Represent the R&D division in communications with EMR.AI’s leadership team, its customers, partners, and vendors at meetings, conventions, and other venues as well as in written statements.

'''Skills'''

PhD in computer science, computational linguistics, electrical engineering, or a related field. Experience in the state of the art of NLP and its standard tools is required. Candidates must be very skilled in programming and must have a proven scientific track record. They must be excellent team players, including with distributed teams, and strong in oral and written English communication. Knowledge of the US medical sector is desirable, so are experience with start-ups and strong scientific connections throughout the Bay Area and beyond.

'''Benefits'''

EMR.AI offers competitive salaries, an excellent benefit package, and a stimulating work environment in the heart of San Francisco with manifold local, domestic, and international commercial and academic partnerships.

'''How to Apply'''

Please send your application documents to [mailto:jobs@emr.ai jobs@emr.ai]

'''Contact'''

EMR.AI Inc.

90 New Montgomery St

San Francisco, CA 94105, USA

phone: +1-415-200-8535

e-mail: [mailto:info@emr.ai info@emr.ai]

www: [http://emr.ai http://emr.ai]

==Research Scientist on Natural Language Processing==

* Employer: IBM Research Ireland
* Title: Research Scientist
* Specialty: NLP, Machine Learning
* Location: Dublin
* Deadline: May 5th, 2016
* Date posted: April 11th, 2016
* Contact: [https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=26059&siteid=5016&AReq=36957BR link to application page]

Ireland is accepting applications for full-time researchers in the area of natural language processing. The ideal candidate will have a PhD degree in computational linguistics or in computer science with a specialisation in Natural Language Processing (NLP). Prior experience in the area of text analytics with information extraction, information retrieval and machine learning are highly desirable, and experience with corpus linguistics or natural language understanding are a plus. Strong programming skills in Java are required.

The successful research candidate must have demonstrated ability to define research plans, carry out leading research, and publish research results through professional journals, academic conferences, and patents.
As a researcher you will be expected to organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions have a significant impact.

==Postdoc Researcher on Vision and Language==

* Employer: University of Liverpool
* Title: Postdoc
* Specialty: Computer Vision with an interest in human vision/language behaviour
* Location: Liverpool UK
* Deadline: April 20th, 2016
* Date posted: March 28, 2016
* Contact: [https://www.liverpool.ac.uk/working/jobvacancies/currentvacancies/research/r-590571/ link to application page]

Applications are invited for a Postdoctoral Research associate position to study the relationship between visual/spatial representations and language. Language is often used to describe the visual world and this is done by labelling objects in the world with various categories such as roles (e.g., agent, goal). There is now a large infant social cognition literature which shows how categories like agents and goals may be identified using simple visual heuristics. In this post, we will strengthen these links by experimentally manipulating visual cues to see how they influence language choices in adults and children. In addition to the experimental study of these links, we will also develop computational models that use computer vision techniques to track the interaction of objects in videos and link these visual codes to the descriptions of the actions. We are most interested in people with a computational background who have an interest in human vision/language processing.

This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the ESRC International Centre for Language and Communicative Development (LUCID, http://www.lucid.ac.uk/), a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster. You should have (or be about to obtain) a PhD in the field related to Computer Science, Psychology, Cognitive Science, or related disciple. The post is available for 3 years.

==Postdoc Positions at Johns Hopkins University==

* Employer: Johns Hopkins University
* Title: Postdoc
* Specialty: NLP, Machine Learning, Social media analysis for computational social science, health/medicine
* Location: Baltimore, MD
* Deadline: March 31, 2016
* Date posted: March 1, 2016
* Contact: [http://www.clsp.jhu.edu/employment-opportunities/ http://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 and language processing, including the areas of natural language processing, machine learning and health informatics. Applicants must have a Ph.D. in a relevant discipline and a strong research record.

The center has a number of postdoctoral positions available for the coming year. Possible research topics include:
* Trend Detection in Social Media
* Broadly Multilingual Learning of Morphology
* Stochastic approximation algorithms for subspace and multi-view representation learning
* Analysis of large-scale time series data in healthcare

Host faculty include:
Mark Dredze, David Yarowsky, Jason Eisner, Sanjeev Khudanpur, Benjamin Van Durme, Raman Arora, Suchi Saria

==Associate/Full Professor in Computational Linguistics at Stony Brook University==
* Employer: Department of Linguistics, Stony Brook University
* Title: Associate/Full Professor
* Specialty: Computational Linguistics
* Location: New York, USA
* Deadline: <strike>March 14, 2016</strike> May 1, 2016
* Date posted: February 17, 2015
* LinguistList Announcement: [http://linguistlist.org/issues/27/27-861.html http://linguistlist.org/issues/27/27-861.html]
* Contact: Lori Repetti [mailto:lori.repetti@stonybrook.edu lori.repetti@stonybrook.edu]

'''Job Description'''

The Department of Linguistics at Stony Brook University invites applications for a tenured appointment in computational linguistics, beginning Fall 2016 or Fall 2017. This is a senior appointment at the Associate or Full Professor level.

The successful candidate will have a PhD (preferably in Linguistics or Computer Science), an outstanding research profile in Computational Linguistics (ideally in areas that complement existing departmental strengths), a strong track record in grant acquisition, and teaching and advising experience at the graduate and/or undergraduate levels.

They will also be expected to

* Contribute to the ongoing development of the Department's degree programs in linguistics and computational linguistics,
* Initiate new collaborations and expand existing ones with other computational research groups on campus, in particular in the Department of Computer Science and the Institute for Advanced Computational Science,
* Strengthen the department's connections with the local IT industry.

Salary will be commensurate with education and experience.

'''Application'''

Applications must be submitted via AcademicJobsOnline: [https://academicjobsonline.org/ajo/jobs/6983 https://academicjobsonline.org/ajo/jobs/6983]

==Research Scientist at the Allen Institute for Artificial Intelligence==

* Employer: Allen Institute for Artificial Intelligence (AI2)
* Title: Research Scientist
* Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
* Location: Seattle, WA
* Deadline: N/A, we are hiring throughout 2016
* Date posted: 02/09/2016
* Contact information: ai2-info@allenai.org
* Website: http://allenai.org/jobs.html

'''Job Description'''

The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.

'''Position Summary'''

AI2 currently has projects in the following areas:

* Language and Vision
* Information extraction and semantic parsing
* Question answering
* Language and reasoning
* Machine learning and theory formation
* Semantic search
* Natural language processing
* Diagram understanding
* Visual knowledge extraction and visual reasoning

And more….

AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting AI2’s research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.

'''Applicant'''

Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research.

'''Why AI2'''

In addition to AI2’s core mission of being a leader in the field of AI research, we also aim to create a superb team environment and to invest in each team member’s personal development. Some highlights are:

* We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning right alongside us;
* We value diversity of thought – we seek Research Scientists who can bring novel experiences and modes of problem solving to our leading-edge mission. If you are creative and efficient in your approach and insightful in your questioning, AI2 could be a great environment for you;
* We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave;
* We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures;
* We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, we have the defending Super Bowl champions, and we have so much else. We even have kayaks for you to paddle right outside our front door;
* We are friendly – chances are you will like every one of the 30+ (and growing!) people who work here. We do!

'''Application Process'''

Visit our website for more information: http://allenai.org/jobs.html

==Software Engineer - Machine Learning / NLP (Chinese) at SYSTRAN==

* Employer: SYSTRAN
* Title: Software Engineer
* Topics: Machine Learning, Natural Language Processing, Machine Translation
* Location: San Diego
* Deadline: Open until filled
* Date Posted: January 29, 2016
* Contact: Apply directly at https://recruit.systrangroup.com/recruit/Portal.na

SYSTRAN is currently seeking an experienced Software Engineer specializing in Machine Learning / NLP to join our R&D team in San Diego to develop machine translation systems.

The ideal candidate must have a combination of research and implementation skills, including significant programming experience. Hands-on experience with machine learning, including deep neural network, text classification, statistical techniques for NLP or a related field, is highly desirable.

Responsibilities include software development, experimentation, analysis of results, and building systems that combine linguistics and statistical language models for machine translation centering on Chinese language.

'''Key Qualifications'''
* Knowledge of natural language processing field, including but not limited to, formal grammar, syntactic parsing and morphology
* Good algorithmic knowledge of machine learning
* Experience writing and debugging software
* Strong communications skills
* Ability to work well as part of a team
* Fluent in English.
* Fluent in Chinese is a plus

'''Education and Experience'''
* MS or Ph D in Computational Linguistics / Computer Science or relevant field.
* 2+ years work experience preferred

'''Benefits'''
* Successful candidates will be offered a competitive salary based on their qualifications and experience.

==Vacancy for Lecturer/Senior Lecturer/Reader at University of Dundee==

* Employer: University of Dundee
* Title: Lecturer/Senior Lecturer/Reader
* Topics: Computational Linguistics, Language, Argumentation, Artificial Intelligence
* Location: Dundee, UK
* Deadline: 27 February 2016
* Date Posted: 12 January 2016
* Contact: Prof. Chris Reed (see http://arg.tech/lecturer)

£34,576 to £55,389 Full Time, Permanent

The University of Dundee’s School of Science & Engineering is advertising several permanent posts including one covering the Centre for Argument Technology. We are particularly keen to receive applications from candidates in Computational Linguistics to expand the group’s research in Argument Mining (see http://argmining2016.arg.tech and http://arg.tech/am), but welcome applications in all areas of the overlap between argumentation and artificial intelligence. A strong publication profile is essential, and for more senior appointments, so is a track record of funding success.

For further information about the Centre for Argument Technology, please see http://arg.tech or contact Prof. Chris Reed; for more information about the position, see http://arg.tech/lecturer. General details follow.

'''Summary of Job Purpose and Principal Duties'''

The University of Dundee is seeking an exceptional candidate to join one of our Computing research groups, based within the School of Science and Engineering. The successful candidate will develop new research lines within either the (i) Human Centred Computing Group; (ii) the Centre for Argument Technology; or (iii) the Space Technology Centre. Full information on the current research in each
group can be found in the Further Particulars.

The successful candidate is expected to have a strong track record of research and a clear research plan that articulates with (or expands significantly) one of these areas. They will be expected to contribute to the development of research in this area by publishing in the highest quality journals and attracting appropriate research funding. For appointments at Grade 8 and 9, candidates are expected to show evidence of having attracted independent funding. The School encourages applications from holders of personal
Fellowships.

Additionally, the successful candidate will be expected to take an active role in the teaching of undergraduate computing programmes as well as supporting teaching at Masters level.

'''Job Summary'''

The appointee will be expected to contribute to research in Computing and to teaching and administration within the School of Science and Engineering. They will be expected to:

* Contribute to the ongoing research in one of the three research groups described above.
* Contribute to the generation of external research funding.
* Publish in high quality research journals and major international conferences.
* Teach at undergraduate and post-graduate level.
* Supervise students at all levels (honours and MSc projects, PhD).
* Undertake administrative duties.

'''Application Requirements'''

In addition to the online form, applicants must include with their application:

* Cover letter outlining fit to role.
* Research plan (1-2 pages) covering proposed research over the first three years of the appointment.
* Teaching plan (1-2 pages) outlining fit to current teaching at Dundee and teaching methodology.

==Postdoctoral Fellow in Computational Models of Reasoning / Intelligence Systems Section at AI Center / US Naval Research Laboratory==
* Employer: US Naval Research Laboratory
* Title: Postdoctoral Research Fellow
* Topics: Reasoning, Computational Modeling, Language, Artificial Intelligence
* Location: Washington, DC
* Deadline: Open until filled
* Date Posted: January 20, 2016
* Contact: Sunny Khemlani (sunny.khemlani@nrl.navy.mil)

'''Research focus''': The Postdoctoral Fellow will collaborate on various projects in reasoning, including (but not limited to) building a unified computational framework of reasoning; investigating how people engage in explanatory reasoning; and testing a system that reasons about time and temporal relations.

'''Supervisor''': Sunny Khemlani, PhD

'''Key qualifications''': A Ph.D. in cognitive psychology, cognitive science, or computer science, with experience in higher level cognition, experimental design and data analysis, or cognitive modeling. Experience with theories of reasoning, computer programming, and cognitive modeling is a strong plus.

'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance.

'''Program and compensation''': The Fellowship operates through the NRC Research Associateship Program (http://sites.nationalacademies.org/pga/rap/). Only US citizenship or green card holders are eligible for the program. Fellows are compensated through a research stipend of ~$75,000/year.

'''To apply''': Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.

==Internship positions available at Juji, Inc.==
* Employer: Juji, Inc.
* Title: Intern
* Location: Saratoga, CA
* Deadline: open until all the positions are filled
* Date Posted: January 14, 2016

'''Description''':
Have you ever watched the movie Her? Have you ever wondered or wished to have a virtual partner just like Samantha, who could tell you what you really are, whom your best partner may be, and even cheers you up? At Juji, we are building a hyper-personalized, virtual REP (Responsible, Empathetic Pal) for everyone. Your REP not only understands who you are, including your personality, motivations, and strengths, but it can also chat with you to learn and help fulfill your certain needs.

We are seeking highly motivated and talented students, who are eager to help us tackle great technical challenges at Juji and to expand their knowledge and skills in the real world. We are especially interested in students who have had worked or love to work in the following areas: Artificial Intelligence, Natural Language Processing/Natural Language Generation, Machine Learning, Human-Computer Interaction, Information Visualization/Visual Analytics, and Cognitive Science.

We have multiple positions on two main tracks:

* Software development. If you love to create amazing software technologies and systems for real users, this is the track for you. You are expected to own and deliver a relatively independent project that will contribute to our cutting-edge product development effort.

* Scientific research. If you love to design and conduct scientific experiments to answer a specific set of research questions, this is the track for you. You will work on a government funded research project on understanding human trust in a digital environment. You are expected to play a critical role in designing and conducting novel research studies and writing papers that lead to scientific publications.

'''Qualifications'''
Outstanding current students towards a bachelor or higher degree in the area of Computer Science, Computer Engineering, or equivalent disciplines are encouraged to apply. Strong software development or visual design skills are a plus.

'''To apply''': Please email a copy of your resume to the following address: jobs@juji-inc.com with a subject line “Summer Internship 2016”, and state your track preference in your email body.

==Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School==
* Employer: Brigham and Women's Hospital / Harvard Medical School
* Title: Postdoctoral Research Fellow
* Topics: Natural Language Processing, Artificial Intelligence, Predictive Modeling
* Location: Boston, MA
* Deadline: Open until filled
* Date Posted: January 8, 2016
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)

'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.

'''Supervisor''': Alexander Turchin, MD, MS, FACMI

'''Required skills''': experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with artificial intelligence technologies, predictive modeling, Big Data and medical terminologies / ontologies is a strong plus.

'''Education''': PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.

'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.

'''Available''': Immediately.

'''Compensation''': according to NIH (NRSA) stipend levels.

'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.

Employment opportunities, postdoctoral positions, summer jobs

2017-02-13T15:20:59Z

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== Postdoctoral Research Position in Interpretable Machine Learning at Cardiff University, UK ==
*Employer: Cardiff University, UK
*Title: Research Associate in Artificial Intelligence / Machine Learning
*Speciality: Vector Space Models, Deep Learning, Interpretable Machine Learning, Symbolic Models
*Location: Cardiff, UK
*Deadline: March 2, 2017
*Date posted: February 13, 2017
*Contact: schockaerts1@cardiff.ac.uk

Applications are invited for a Postdoctoral Research Associate post in Cardiff University’s School of Computer Science & Informatics. This is a full-time, fixed-term post for 30 months, starting on 1 May 2017 or as soon as possible thereafter. The successful candidate will be dedicated to finding creative solutions and have a genuine curiosity and enthusiasm to undertake world-class research in the field of Machine Learning / Artificial Intelligence. Specifically, the aim of this post will be to develop novel methods for learning interpretable/symbolic models from diverse sources of information, including knowledge graphs, vector space models and natural language text. These models will then be used as background theories in applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning. You will work closely with Steven Schockaert. You will possess or be near the completion of a PhD in Computer Science or a related area, or have relevant industrial experience.

This research will be part of the FLEXILOG project, which is funded by the European Research Council (ERC)

'''Essential criteria'''

* Postgraduate degree at PhD level, or near to completion of a PhD in a related subject area or relevant industrial experience
* An established expertise and proven portfolio of research and/or relevant industrial experience within at least two of the following research fields: Machine Learning, Knowledge Representation, Natural Language Processing.
* A strong background in statistics and linear algebra.
* Excellent programming skills.
* Knowledge of current status of research in specialist field.
* Proven ability to publish in relevant journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, Journal of Machine Learning Research, Machine Learning) or top-tier conferences (e.g. IJCAI, AAAI, ECAI, NIPS, ICML, KDD, ACL, EMNLP).
* Ability to understand and apply for competitive research funding.
* Proven ability in effective and persuasive communication.
* Ability to supervise the work of others to focus team efforts and motivate individuals.
* Proven ability to demonstrate creativity, innovation and team-working within work.

'''Background about the university'''

Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available. Various surveys have ranked it as one of the most liveable cities in Europe. Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. The school has a strong research track record recognised for its outstanding impact in terms of reach and significance, with 79% of its outputs deemed world-leading or internationally excellent in the 2014 Research Excellence Framework.

'''Background about the project'''

Vector space embeddings have become a popular representation framework in many areas of natural language processing and knowledge representation. In the context of knowledge base completion, for example, their ability to capture important statistical dependencies in relational data has proven remarkably powerful. These vector space models, however, are typically not interpretable, which can be problematic for at least two reasons. First, in applications it is often important that we can provide an intuitive justification to the end user as to why a given statement is believed, and such justifications are moreover invaluable for debugging or assessing the performance of a system. Second, the black box nature of these representations makes it difficult to integrate them with other sources of information, such as statements derived from natural language, or from structured domain theories. Symbolic representations, on the other hand, are easy to interpret, but classical inference is not sufficiently robust (e.g. in case of inconsistency) and too inflexible (e.g. in case of missing knowledge) for most applications.

The overall aim of the FLEXILOG project is to develop novel forms of reasoning that combine the transparency of logical methods with the flexibility and robustness of vector space representations. For example, symbolic inference can be augmented with inductive reasoning patterns (based on cognitive models of human commonsense reasoning), by relying on fine-grained semantic relationships that are derived from vector space representations. Conversely, logical formulas can be interpreted as spatial constraints on vector space representations. This duality between logical theories and vector space representations opens up various new possibilities for learning interpretable domain theories from data, which will enable new ways of tackling applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning.

'''More information'''

For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5545BR. Please note the requirement to evidence all essential criteria in the supporting statement.

== Research Associates in Natural Language Processing / Text Mining, University of Manchester, UK ==
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
*Title: Research Associates in Natural Language Processing / Text Mining
*Speciality: Natural Language Processing, Text Mining
*Location: Manchester, UK
*Deadline: March 13, 2017
*Date posted: February 10, 2017
*Contact: sophia.ananiadou@manchester.ac.uk

The School of Computer Science, National Centre for Text Mining at the University of Manchester seeks to appoint two Research Associates in Natural Language Processing-based Text Mining to expand its text mining research portfolio.

They will join a strong team of 12+ staff who work on numerous national and international research projects, including industry, in areas of information extraction, disambiguation, topic analysis, natural language processing, biomedical text mining and machine learning.

'''Skills'''

You should have a PhD in Computer Science with an emphasis on Natural Language Processing and Text Mining. The focus of your research will be in developing (semi)-supervised methods for information extraction, in particular relation, event extraction and normalisation; a proven ability to develop algorithms for NLP/text mining problems using deep learning will be highly desirable; knowledge of developing text mining workflows using UIMA based environment will be a plus. You should have excellent programming skills, preferably in Java.

* Duration of post: Immediately until 31st October 2018
* Salary: £31,076-£38,183 per annum

'''Research Team'''

The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research”.

Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).

Deadline of applications: 13/03/2017

Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12975

== Research Scientist Intern at Adobe Research, San Jose, California ==
*Employer: Adobe Systems Incorporated
*Title: Research Scientist Intern
*Speciality: NLP, machine learning and dialog.
*Location: San Jose, CA, USA
*Deadline: March 1, 2017
*Date posted: January 23, 2017
*Contact: bui@adobe.com

We are looking for PhD students with background in NLP, machine learning, dialog to work on 2 following projects:
1) Deep reinforcement learning for creative assistant
2) Reading order text extraction for PDF documents

== Assistant/Associate Professor Position in NLP/IR/Text/ML at University of California - Davis ==
*Employer: University of California - Davis
*Title: Assistant/Associate Professor
*Speciality: All areas of NLP/Text/IR/ML etc including those involved in multi-media analysis.
*Location: Davis, CA, USA
*Deadline: January 2, 2017
*Date posted: December 27, 2016
*Contact: davidson@cs.ucdavis.edu

The Department of Computer Science at the University of California at Davis invites applications for a faculty position at the rank of Assistant or Associate Professor in Computer Science, for appointments with a start date in Spring 2017, or later. We are targeting excellent candidates in all areas of machine learning and computational linguistics, with a special emphasis on all aspects of natural language processing, information retrieval, text analytics and text mining. The campus is especially interested in candidates who can contribute to the diversity and excellence of the academic community through their research, teaching, and service.

Applications received by 2nd January 2017 will receive full consideration. For further information see http://www.cs.ucdavis.edu/blog/faculty-employment-positions-2/

==Postdoctoral Fellow in Natural Language Processing / Machine Learning at Brigham and Women's Hospital / Harvard Medical School==
* Employer: Brigham and Women's Hospital / Harvard Medical School
* Title: Postdoctoral Research Fellow
* Topics: Natural Language Processing, Machine Learning, Predictive Modeling
* Location: Boston, MA
* Deadline: Open until filled
* Date Posted: December 23, 2016
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)

'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians led by Dr. Leonid Perlovsky (http://www.leonid-perlovsky.com/) and Dr. Alexander Turchin (https://connects.catalyst.harvard.edu/Profiles/display/Person/14588) on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.

'''Supervisor''': Alexander Turchin, MD, MS, FACMI; Leonid Perlovsky, PhD

'''Required skills''': strong mathematical background in statistics and machine learning; experience working with large datasets; experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with predictive modeling, medical terminologies / ontologies, python, MATLAB and Apache Spark is a strong plus.

'''Education''': PhD in computer science, biomedical informatics, or related discipline or an equivalent degree.

'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.

'''Available''': Immediately.

'''Compensation''': according to NIH (NRSA) stipend levels (https://grants.nih.gov/grants/guide/notice-files/NOT-OD-16-131.html).

'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.

== PhD Scholarship / Enhancing Scientific Text Summarization / Barcelona ==
*Title: PhD Scholarship / Enhancing Scientific Text Summarization with Academic Social Networks
*Location: Barcelona, Spain
*Deadline: February 2nd, 2017
*Date posted: December 12, 2016
*Contact: horacio.saggion@upf.edu

In the context of the Marie-Curie PhD InPhiNIT La Caixa program associated to the Maria de Maeztu Strategic Research Program, we are looking for a highly motivated PhD candidate in the area of Natural Language Processing to work in a project dealing with Scientific Text Summarization and Academic Social Networks.

The PhD will be carried out at the TALN research group of the Department of Information and Communication Technologies (DTIC), Universitat Pompeu Fabra (UPF) in Barcelona.

The PhD student should have background in Natural Language Processing with a solid knowledge of statistics, mathematics, computer programming and machine learning. Experience in Information Extraction, Text Summarization, or related areas would be appreciated.

Brief description of the project:

http://www.dtic.upf.edu/~hsaggion/scientific_summarization_social.html

How and where to apply (InPhiNIT program):

https://obrasociallacaixa.org/en/educacion-becas/becas-de-posgrado/inphinit/programme-description

The TALN research group:

http://taln.upf.edu/

Maria de Maeztu Strategic Research at DTIC:

https://www.upf.edu/web/mdm-dtic/description

http://ec.europa.eu/research/mariecurieactions/

Other:

You can contact Prof. Horacio Saggion for more information about the project.

Related information:

https://www.upf.edu/web/mdm-dtic/projects/-/asset_publisher/Ef1was9TxNY4/content/id/4113025#.WE6ZIH23nm4

http://taln.upf.edu/pages/coling2016tutorial/

== Lecturer/Senior Lecturer openings in Artificial Intelligence and Machine Learning at Imperial College London, UK ==
*Employer: Department of Computing, Imperial College London
*Title: Lecturer/Senior Lecturer openings in Artificial Intelligence and Machine Learning
*Speciality: Artificial Intelligence and Machine Learning, including (but is not limited to): machine learning for text and speech.
*Location: London, UK
*Deadline: January 16, 2017
*Date posted: December 8, 2016
*Contact: margaret.hall@imperial.ac.uk

The Department of Computing at Imperial College London invites applications for full-time faculty members at the Lecturer/Senior Lecturer level (comparable to American tenure-track Assistant Professorships) who can contribute to research and teaching, in particular in the area of Artificial Intelligence and Machine Learning. This includes (but is not limited to): autonomous systems; knowledge representation and reasoning; planning; machine learning for speech, audio and text; optimization and data mining.

Notwithstanding the above focus, exceptional candidates from any area of Computer Science are also encouraged to apply.

The deadline for applications is 16th January 2017. For further information see http://www.imperial.ac.uk/computing/job-vacancies/

== Research Fellow in Biomedical Text Mining, University of Manchester, UK ==
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
*Title: Research Fellow
*Speciality: Natural Language Processing, Text Mining
*Location: Manchester, UK
*Deadline: December 18, 2016
*Date posted: November 28, 2016
*Contact: sophia.ananiadou@manchester.ac.uk

Applications are invited for a postdoctoral research fellow in Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester. The position is for 2 years.

The objective of this BBSRC funded post is to conduct research into extracting complex information (entities and events) from the scientific literature to support metabolic model development.

Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in biomedical text mining (event extraction); excellent knowledge in developing and adapting algorithms for text mining systems; strong publication record; excellent programming skills.

* Duration of post: 1st January 2017 to 31st December 2018
* Salary: £39,324 to £48,327 per annum

'''Research Environment '''

The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems.
NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".

The project will involve close collaboration with a team of experts focusing on metabolomics and cheminformatics.
More information about the project: http://www.nactem.ac.uk/empathy/

Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).

Application form and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12531

== 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: NLP
* Location: Darmstadt
* Deadline: December 12, 2016
* Date posted: November 23, 2016
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]

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

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

to strengthen the group’s profile in the areas of Interactive Machine Learning (IML) or Computational Argumentation (CA). The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Interactive Machine Learning and Computational Argumentation are the rapidly developing focus areas in collaboration with partners in research and industry.

We ask for applications from candidates in Computer Science with a specialization in Machine Learning or Natural Language Processing, preferably with expertise in research and development projects, and strong communication skills in English and German.
- The successful applicant in the area of interactive machine learning will work on research activities regarding its application to end-user content annotation, information structuring and recommendation, or semantic text analysis, and development activities to create the corresponding product prototypes.
- The successful applicant in the area of Computational Argumentation will work on research activities in analyzing the discourse of future professionals while reasoning to automatically access their argumentation quality given small amounts of training data, and development activities for the research prototype.
Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP and/or ML) systems, experience in information retrieval, large-scale data processing and large-scale knowledge bases, and strong programming skills incl. Java. Experience with neural network architectures is a strong plus. Combining fundamental NLP research on Interactive Machine Learning or Computational Argumentation with practical applications in different domains will be highly encouraged.

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 initiative "Knowledge Discovery in the Web” and the Research Training Group [https://www.aiphes.tu-darmstadt.de “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.

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 15.12.2016. The positions are open until filled. Later applications may be considered if the position is still open.

== One Teaching Track and One Tenure Track position open at the Language Technologies Institute at Carnegie Mellon University (Pittsburgh, PA USA) ==
Employer: Language Technologies Institute, School of Computer Science, Carnegie Mellon University

Title: Assistant Teaching Professor and Assistant Professor

Specialty: Natural Language Processing, Computational Linguistics, Machine Learning and Statistical Methods for NLP, Social Media Analysis
* Deadline: January 3, 2017
* Date posted: 10th November 2016
* Contact: [mailto:cprose@cs.cmu.edu Dr. Carolyn P.Rose]

The Language Technologies Institute (LTI) in the School of Computer Science (SCS) at Carnegie Mellon University invites applications for teaching-track and tenure-track positions, beginning Fall 2017. LTI is an academic department dedicated to the study of human language and information technologies, with approximately thirty faculty members. LTI is one of seven departments within SCS, which has over 200 tenure-track, research, and teaching faculty with expertise spanning traditional computer science, human computer interaction, language technologies, machine learning, computational biology, software engineering, and robotics. SCS offers a highly collaborative and uniquely interdisciplinary environment that promotes innovation and entrepreneurship in both teaching and research.

The teaching track is a career-oriented, renewable appointment with an initial appointment of three years. Initial teaching-track appointments are typically at the rank of Assistant Teaching Professor, with the possibility of promotion to the ranks of Associate Teaching Professor and Teaching Professor. These ranks are not tenured, but they do provide substantial opportunities for professional growth and long-term contributions to Language Technologies education at Carnegie Mellon University. Teaching track faculty contribute to the design of new curricula and the adoption of new teaching methods.
For more information about this position, see: http://lti.cs.cmu.edu/teaching-track-faculty-position

We are also seeking to hire on the tenure track. Tenure track appointments are typically at the rank of Assistant Professor, with the possibility of promotion to the ranks of Associate Professor and Professor. Tenure-track applicants must have strong interests and accomplishments in both research and teaching. For more information about this position, see: http://lti.cs.cmu.edu/tenure-track-faculty-position

== One Post-doctoral position in Statistical Machine Translation in CUNY (at Manhattan, NYC) ==

Employer: Department of Computer Science at Hunter College, University of New York
Title: post-doctoral position
Specialty: Machine Translation
Location: Manhattan, NYC, NY
* Deadline: Open until filled
* Date posted: 6th November 2016
* Contact: [mailto:Jia.Xu@hunter.cuny.edu Dr. Jia Xu]

The Statistical Machine Learning and Translation group of Dr. Xu at the City University of New York is inviting applications for one post-doctoral position. This is a splendid opportunity to conduct research blending very applied research (i.e. industrial-level Machine Translation systems) with foundational research in statistical machine learning. Dr. Xu’s group has an excellent record (e.g. winning first-place) in the international machine translation competitions during the last decade. The current research has evolved into exciting areas beyond statistical machine translation, such as in the foundations of machine learning and in frameworks in understanding the underlying geometry of languages.

Applicants should hold by the time the appointment begins a PhD (or its equivalent) in Computer Science, Computer Engineering, Statistics, Mathematics, Physics or in a related discipline. We are seeking for applicants committed to either (1) extending their current research program in statistical Natural Language Processing or (2) employing their analytical and engineering skills and join in our current research program. Therefore, this position can be also seen as an opportunity to fast-forward develop statistical NLP skills and conduct cutting-edge research in this field.

The position is for 1 year with the possibility of extending it up to 3 years. The starting date is flexible.

The Hunter College at the City University of New York may ask the post-doctor to take up a very moderate teaching load (can be waived based on research promise). The salary commensurate with qualifications and research potential and starts from $50K/year.

Hunter college is located in upper-east Manhattan. This is an extremely vibrant research location with numerous opportunities for collaboration. Hunter college is surrounded by top research labs (e.g. Google Research, Microsoft Research, Facebook, IBM Research), and many other university departments (e.g. Princeton, Columbia, NYU).

Applications should include a recent CV and optionally a research statement and 2 representative publications. Applications should be sent to Dr. Jia Xu by email to: jia.xu@hunter.cuny.edu including in the Subject title the keyword: “Application”.

All applicants will be notified upon receipt of the application by email.

This position will be advertised at http://jiaxu.org until is filled.

Hunter is committed to a policy of equal employment and equal access in its educational programs and activities. Diversity, inclusion, and an environment free from discrimination are central to the mission of the City University of New York.

== Three fully funded PhD Positions in Statistical Natural Language Processing in CUNY (at Manhattan, NYC) ==

Employer: Department of Computer Science at Hunter College, University of New York
Title: fully-funded PhD position
Specialty: NLP
* Location: Manhattan, NYC, NY
* Deadline: Open until filled
* Date posted: 6th November 2016
* Contact: [mailto:Jia.Xu@hunter.cuny.edu Dr. Jia Xu]

The Statistical Machine Learning and Translation group of Dr. Xu at the City University of New York is inviting applications for fully-funded PhD student positions starting in 2017. This is a splendid opportunity to conduct research blending very applied research (i.e. industrial-level Machine Translation systems) with foundational research in statistical machine learning. Dr. Xu’s group has an excellent record (e.g. winning first-place) in the international machine translation competitions during the last decade. The current research has evolved into exciting areas beyond statistical machine translation, such as in the foundations of machine learning and in frameworks in understanding the underlying geometry of languages.

Applicants should hold by the time that begin their PhD studies a BSc, BEng (or its equivalent) in Computer Science, Linguistics, Computer Engineering, Statistics, Mathematics, Physics or related disciplines. We are seeking for very motivated students with enthusiasm and dedication in conducting cutting-edge research in statistical methods over massive amounts of data. Natural Language Processing is the prototypical domain where Machine Learning and Big Data are required to come together.

The typical duration of the PhD program is from 3 to 4 years.

The Hunter College at the City University of New York asks that the PhD candidate should take up two teaching assistantships per year. The admitted student will be offered to have the tuition fees covered and also stipend sufficient to cover the living cost.

Hunter college is located in upper-east Manhattan. This is an extremely vibrant research location with numerous opportunities for internships and collaboration. Hunter college is surrounded by top research labs, such as Google Research, Microsoft Research, Facebook, and IBM Research.

Application material: CV and optionally a statement of purpose letter, GRE, and TOELF/IELTS results. Applications should be sent to Dr. Jia Xu by email to: Jia.Xu@hunter.cuny.edu including in the Subject title the keyword: “PhD".

All applicants will be notified upon receipt of the application by email.

This position will be advertised at http://jiaxu.org until the position is filled.

Hunter is committed to a policy of equal employment and equal access in its educational programs and activities. Diversity, inclusion, and an environment free from discrimination are central to the mission of the City University of New York.

== Funded PhD Position in Natural Language Processing in Barcelona ==

* Employer: Department of Information and Communication Technologies at Universitat Pompeu Fabra
* Title: PhD studentship position
* Specialty: NLP
* Location: Barcelona, Spain
* Deadline: August 8th, 2016 (or until filled)
* Date posted: 29th July 2016
* Contact: [mailto:horacio.saggion@upf.edu Prof. Horacio Saggion]

The Department of Information and Communication Technologies at Universitat Pompeu Fabra in Barcelona, Spain, invites applications for a PhD studentship position that is associated with the María de Maeztu Units of Excellence Research Program of the Spanish Government (http://www.upf.edu/mdm-dtic), and involves joint work of the research labs of profs. Horacio Saggion and Ricardo Baeza-Yates. This position will be funded under the FPI call to be launched by the Spanish Ministry of Economy and Competitiveness.

Project Description

In the context of our Maria de Maeztu (MdM) project "Mining the Knowledge of Scientific Publications" ( see http://www.upf.edu/mdm-dtic) the PhD student will carry out a research project on the more focused area of automatic research paper assessment which concerns a number of interesting research questions including but not limited to:

* automatic research paper evaluation
* automatic research paper/author impact prediction
* automatic novelty evaluation

The PhD will benefit from the resources developed during MdM project: availability of large scale open scientific repositories, natural language processing technology adapted to scientific text processing, document retrieval technology, etc. as well as the expertise of the MdM team members.

Applicants

Candidates should hold a M.Sc. in Computer Science or related field with a solid background in Natural Language Processing and be proficient in spoken and written English. Experience with recent advances in Machine Learning and Information Retrieval would be highly valuable. Knowledge of statistical analysis is highly desirable.

More information

For informal inquiries, prospective candidates may contact professor Horacio Saggion at horacio DOT saggion AT upf DOT edu

For more information please check the official announcement at

https://portal.upf.edu/web/etic/automatic-research-assessment?p_p_id=56_INSTANCE_MaAxd6TFfhia&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&p_p_col_id=column-1&p_p_col_count=1

== Research Fellow in Biomedical Text Mining, University of Manchester, UK ==
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
*Title: Research Fellow
*Speciality: Natural Language Processing, Text Mining
*Location: Manchester, UK
*Deadline: August 13, 2016
*Date posted: July 18, 2016
*Contact: sophia.ananiadou@manchester.ac.uk

Applications are invited for a postdoctoral research fellow in Biomedical Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester.

The objective of this BBSRC funded post in collaboration with Unilever is to conduct research into extracting complex information from the scientific literature to support metabolic pathway curation using text mining methods.

Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in information extraction at large scale; excellent knowledge in developing and adapting algorithms for text mining systems; machine learning; experience in biomedical Text Mining; strong track record of high-quality papers in conferences such as ACL, EMNLP, etc., and in high quality journals; excellent programming skills; proven ability to develop independently research proposals.

* Duration of post: until 31st March 2018 with possibility of extension
* Salary: £38,896 to £47,801 per annum

'''Research Environment '''

The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems.
NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".

The project will involve close collaboration with a team of experts focusing on metabolomics and cheminformatics.
More information about the project: http://www.nactem.ac.uk/empathy/

Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).

Application form and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=11856

== Computational Linguist-Morphology ==

* Employer: [http://www.edcknowledge.com/ Esprit de Corps Corporation (EdC)], US
* Title: Computational Linguist-Morphology
* Specialty: Application of Finite State Transducers (FST) to language processing technologies, development of FST networks for languages, integration of morphological analyzers.
* Location: Various US Locations
* Deadline: Open
* Date posted: June 19, 2016
* Contact: [mailto:jlay@edcknowledge.com. Jim Lay]

EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.

The Computational Linguist-Morphology provides unique expertise with the application of FST to language processing technologies, to include the development of FST networks for languages, the integration of morphological analyzers in multilingual databases/search engines and the development of APIs for managing FST I/O in a multilingual environment.

''Qualifications''

*A master's degree in computer science and/or linguistics, or in a related field; eight (8) years related experience in FST technologies for language applications may be substituted for a master's degree.

*Within the last ten (10) years, shall have a minimum of seven (7) years experience programming language networks in one or more FST applications such as XSFT, Stuttgart Finite State Transducer Toolkit, OpenFST, FOMA, or other product with equivalent functional capabilities.

*Shall have a minimum of five (5) years experience coding with two (2) or more of the following: C, C++, or Java. Shall also have a minimum of five (5) years experience with Perl and/or Python scripting languages.

*Within the last ten (10) years, shall have a minimum of five (5) years experience with linguistics and language structure, language processing technologies, and/or with applying morphologies to multilingual databases/search engines.

*Shall have a minimum of five (5) years experience with two (2) or more foreign languages. Shall have demonstrated experience with international encodings, to include converting and handling multilingual encoding, such as UTF-8.

''Applicants must be United States citizens able to acquire a personal security clearance.''

For more information about the post and for '''applications''': http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist-Morphology".

== Computational Linguist ==

* Employer: [http://www.edcknowledge.com/ Esprit de Corps Corporation (EdC)], US
* Title: Computational Linguist
* Specialty: Integration of NLP Modules, Experimentation with User Interfaces for Analytic Support, Web Services for Querying Extracted Results.
* Location: Various US Locations
* Deadline: Open
* Date posted: June 19, 2016
* Contact: [mailto:jlay@edcknowledge.com. Jim Lay]

EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.

The Computational Linguist provides unique expertise with the application of computer science to language processing technologies, to include experimentation with, and integration of, unique NLP modules, experimentation with user interfaces for analytic support, web development, and development of web services for querying extracted results.

''Qualifications''

*MA in computer science and/or linguistics, or in a related field (8 years related experience may be substituted for a Master's Degree).

*Within the last 10 years shall have a minimum of 7 years experience each programming: C, C++, or Java.

*Within the last 5 years, shall have a minimum of 3 years programming with two or more scripting languages (e.g. Perl, Python).

*Within the last 10 years, shall have a minimum of 5 years experience with linguistics and language structure, language processing technologies, and/or with applying ontologies to NLP applications.

*A minimum of 5 years experience with two or more foreign languages is required.

*Shall have demonstrated experience developing software in a Linux environment, with Semantic Web technologies (e.g. RDF, OWL), and with international encodings, to include converting and handling multilingual encoding, such as UTF - 8 is required.

''Applicants must be United States citizens able to acquire a personal security clearance.''

For more information about the post and for '''applications''': http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist".

== Research Associate/Fellow in Machine Learning, University of Sheffield, UK ==
* Employer: [http://www.sheffield.ac.uk/ University of Sheffield], UK
* Title: Research Associate/Fellow
* Specialty: ML
* Location: Sheffield
* Deadline: July 18, 2016
* Date posted: June 17, 2016
* Contact: [mailto:l.specia@sheffield.ac.uk Prof. Lucia Specia]

We have an opening for a 3-year position of Research Associate or Research Fellow in Machine Learning with applications to Machine Translation and Multimodal Language Processing. This position is funded by the ERC MultiMT project: Multi-modal Context Modelling for Machine Translation, led by Prof. Lucia Specia (www.dcs.shef.ac.uk/~lucia) at the University of Sheffield.

This is a highly interdisciplinary project involving Natural Language Processing, Computer Vision and Machine Learning. Its goal is to devise methods and algorithms to exploit global multi-modal information for context modelling in Machine Translation. The post holder will be expected to investigate new ways to acquire multilingual multi-modal representations, and new machine learning and inference algorithms that can learn from these rich context models to generate high quality translations. In addition, if appointed as Research Fellow, the post holder will be expected to make significant contributions to multi-modal language processing in general, drawing from their experience in Computer Vision and Natural Language Processing.

This is an opportunity to work in a well-connected international team with world-leading reputation in the Natural Language Processing (NLP) research group at the University of Sheffield. The NLP group is well known internationally for its research, and is one of the largest research groups in the area in Europe.

This post offers excellent opportunities for publications, project visits and conference trips. Applicants should have (for Research Associate (RA) and Research Fellow (RF) posts):

* PhD (or equivalent work experience) in Computer Science, Statistics, Mathematics or related areas
* Significant experience and track record in Machine Learning (RA and RF)
* Strong publication record commensurate with career stage (RA and RF)
* Experience and strong track record in Computer Vision (desirable for RA, required for RF)
* Experience and strong track record in Natural Language Processing (desirable for both RA and RF)
* Strong programming experience, particularly in Python or C++. (RA and RF)

This post is fixed-term with a start date from August 2016 (or soon after) and duration of ''3 years'' with possibility of extension to ''5 years''.

'''Salary range''': £28,847 to £46,414 per annum.

For informal inquiries contact Dr. Lucia Specia: L.Specia@sheffield.ac.uk

For more information about the post and for '''applications''': http://www.shef.ac.uk/jobs, Search and apply for jobs using reference number UOS014018

== Doctoral Researcher at UKP/KRITIS, TU Darmstadt ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Doctoral researcher
* Specialty: NLP
* Location: Darmstadt
* Deadline: July 10, 2016
* Date posted: June 10, 2016
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]

KRITIS ("Kritische Infrastrukturen: Konstruktion, Funktionskrisen und Schutz in Städten"), a new interdisciplinary research training group at Technsiche Universität Darmstadt and funded through the German Research Foundation, is currently seeking a '''Doctoral Researcher''' to start on 1 October 2016.

KRITIS researches systems for technical supply and disposal, and for communication and transport, which have become the central nervous system of modern cities. Their disruption can trigger dramatic crises. Modern city infrastructures are increasingly vulnerable not only to external threats (natural disasters, terrorist attacks, and cyber attacks) but also due to their inherent complexity and interdependence. Our aim is to understand and describe these complex systems in their spatial and temporal contexts. This is done in three main research areas:

# We want to ensure that technical infrastructures are constructed with the term "critical" in mind. We therefore ask what technical-functional needs, and political and social considerations, are relevant, and how these vary according to the systems' historical and spacial context.
# We assume that the complex spatial and temporal arrangements become particularly visible during infrastructural-functional crises. We therefore investigate failures of urban infrastructures, including the conditions contributing to their vulnerability or resilience.
# Finally, we ask how we can best organize protection against or preparation for infrastructural-functional crises (so-called "prevention and preparedness").

Research in the training group takes an interdisciplinary approach, with cooperation among the following specialities: space and infrastructure planning, modern and contemporary history, medieval history, philosophy of technology, comparative analysis of political systems, ubiquitous knowledge processing, urban design and planning, rail systems, and computer science for architecture and construction.

In this area, the discipline of ubiquitous knowledge processing (Prof. Iryna Gurevych) is concerned with the interactions between urban infrastructure (e.g., transport, telecommunications), communication in social media, and the relevant spatial and temporal analysis methods from the perspective of adaptive information and text processing. This will be of particular interest to doctoral candidates in the fields of real-time text analysis which can be applied to the early detection of crises, to public opinion-making, or to crisis management through automated evaluation of (online) content such as Twitter.

Possible dissertation topics include:
* Social-spatial differences of criticality: location- and class-specific text-analytic mining of argumentation on urban infrastructure in social media
* Mining of arguments on urban infrastructure in social media for cascading reactions (i.e., spatio-temporal spread of social media responses to the collapse of urban infrastructure)
* Early recognition of vulnerability: Real-time monitoring of information on hazards to urban infrastructure in social media
* User expectations on the speed of resolution of infrastructural failures – comparison and analysis of tweets across national boundaries

For discussion or advice on further possible research topics and organizational issues, please contact Prof. Iryna Gurevych at [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de].

'''Requirements:''' The successful applicants should produce a doctoral dissertation related to one or more of the above-noted research priorities. This dissertation should be completed within three years and submitted to one of the departments of Technische Universität Darmstadt. Further information on KRITIS's scientific program and its participating professors will be available soon on the following website: [http://www.kritis.tu-darmstadt.de http://www.kritis.tu-darmstadt.de]

It is expected that all members of the research training group will be intensively engaged in interdisciplinary cooperation leading to scholarly publications and lectures. To this end, regular participation in seminars, symposia, workshops, etc. is required, which necessitates the doctoral candidates being domiciled in the Rhine-Main area.

'''Working environment and conditions:''' KRITIS offers an excellent research infrastructure for doctoral students who wish to carry out their own research project within an innovative and internationally networked program. The members of the group work in shared offices under the support and patronage of participating professors. Among the special services include the possibility of a financed stay abroad in one of four internationally renowned partner universities. We also work with various partners in the private and public sector (companies, government offices, and other organizations) at which candidates can complete internships.

Salaries for doctoral candidates depend on qualifications and experience, and will be in line with the collective agreement for employees at TU Darmstadt (TV-TU Darmstadt). The positions are limited to three years and include, depending on the field, 65% to 100% (full-time) employment.

'''Your application:''' TU Darmstadt strives to increase its number of female employees, and as such particularly encourages women to apply. All other things being equal, applicants who have a degree of disability of at least 50% (or the equivalent) will receive preference. Please prepare your application in English or German, and compressed as a single file (up to 6 MB). Applications should be sent by e-mail to Prof. Gurevych at [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by '''10 July 2016'''. The application should include a CV listing language skills and overseas experience, scanned copies of academic credentials, and a sketch of up to five pages for a doctoral project.

We look forward to receiving your application!

== Doctoral Researcher in NLP at TU Darmstadt and/or University of Heidelberg ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] and/or [http://www.uni-heidelberg.de/ Ruprecht-Karls-University Heidelberg], Germany
* Title: Doctoral researcher
* Specialty: NLP
* Location: Darmstadt and/or Heidelberg, Germany
* Deadline: June 30, 2016
* Date posted: June 6, 2016
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]

The Research Training Group „Adaptive Information Preparation from Heterogeneous Sources“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling a position for three years, starting as soon as possible: '''Doctoral Researcher in Natural Language Processing'''

The position provides the opportunity to obtain a doctoral degree with an emphasis on the guiding theme D1: Multi-level models of information quality, under the leadership of Prof. Dr. Iryna Gurevych (UKP Lab, TU Darmstadt). A possible research focus of the position is an automatic claim checking with its applications in the domain of computational journalism. However, other suitable topics may be proposed as well. 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 a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment are being developed. AIPHES investigates a novel scenario for information preparation from heterogeneous sources, within the application context of multi-document summarization. There exists close interaction with end users who prepare textual documents in an online editorial office and therefore profit from the results of AIPHES.

Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler, Dr. Meyer), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann). Participants at the Ruprecht‑Karls‑University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS). Cooperating partners are the Institute for Communication and Media of the University of Applied Sciences Darmstadt and other partners in the area of online media.

AIPHES emphasizes close contact between students and their advisors, has 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 actively supports 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 able 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. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht‑Karls‑University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally.

Applications should include:

* a motivational letter explaining the applicant’s possible contribution to the guiding theme D1,
* 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.

They should be submitted until June 30th, 2016 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de].

== Full Professor (W3) for Real-Time Data Analytics at TU Darmstadt ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Full Professor
* Specialty: Real-Time Data Analytics, with interdisciplinary experience in NLP
* Location: Darmstadt, Germany
* Deadline: July 6, 2016
* Date posted: June 1, 2016
* Contact: [mailto:dekanat@informatik.tu-darmstadt.de dekanat@informatik.tu-darmstadt.de] (for applications); [mailto:gurevych@ukp.informatik.tu-darmstadt.de Iryna Gurevych] (for further information)

The Department of Computer Science at Technische Universität Darmstadt invites applications for the position of '''Full Professor (W3) for Real-Time Data Analytics''' to be appointed as soon as possible.

We are seeking an outstanding researcher to establish the Department’s new area of real-time data analytics through research and teaching. The main focus of the professorship will be on excellent, method-oriented research, with close links to systems and applications. It is also expected that the successful candidate plays a formative role in cross-department and interdisciplinary research activities; the bridge to engineering departments of the university, in particular to the department of mechanical engineering, is particularly important in this respect.

Relevant topics include real-time data analytics on dynamic data streams of various types (including sensor data, text, and images), adaptive information processing and integration, and interactive machine learning. Further topics of research include data analysis and its applications in the mining of data and data streams of heterogeneous nature, quality, and quantity and in the support of decision-making processes, decision management, and the creation of self-organizing systems. Example application areas include automotive engineering, transport and logistics, and cognitive information processing for information validation on the Web.

We expect applicants to have interdisciplinary experience in the use of data analysis methods in cooperation with scientists from other fields as well as with industrial partners. The professorship is intended to strengthen those profile areas of TU Darmstadt in which real-time requirements and interactivity play a central role, such as the Internet and digitization and their associated research fields such as data science, Industry 4.0, autonomous driving, smart transport and energy networks, smart buildings, but also '''natural language processing''', cognitive science, and cybersecurity.

In addition to an outstanding academic CV, applicants must demonstrate a strong commitment to teaching computer science (incl. foundational courses) at the Bachelor’s and Master’s levels. A willingness to participate in academic self-administration is also expected.

Technische Universität Darmstadt is an autonomous university with a wide-ranging excellence in research, an interdisciplinary profile, and a strong focus on engineering as well as on information and communication technologies. Our Department is one of the leading national Computer Science departments and regularly ranked in the top group in national rankings.

Employment will be on a non-tariff basis, with qualification-based compensation based on the German W-level salary. Applicants who are already professors classed as German civil servants (''Beamter'') can retain this status. Employment regulations from §§61 and 62 of the ''Hessisches Hochschulgesetz'' apply.

Technische Universität Darmstadt is committed to increase the proportion of female scientific staff and therefore particularly encourages women to apply. All other things being equal, we will give preference to candidates with a degree of disability of at least 50 (or the equivalent).

Applications, including all the usual supporting documents, should be submitted to the Dean of the Department of Computer Science, Technische Universität Darmstadt, Hochschulstr. 10, 64289 Darmstadt, Germany, e-mail dekanat@informatik.tu-darmstadt.de. Please quote '''reference No. 244'''.

For further information, please contact Prof. Dr. Iryna Gurevych, tel. [+49] (0)6151 16 25290, gurevych@ukp.informatik.tu-darmstadt.de

==NLP Postdoctoral Researcher at UNSW, Australia==

* Employer: The University of New South Wales, Australia
* Title: Research Associate/Fellow
* Specialty: NLP, Knowledge Graph
* Location: Sydney, Australia
* Deadline: June 6th, 2016
* Date posted: May 14th, 2016
* Contact: Wei Wang (weiw@cse.unsw.edu.au)

'''POSITION DESCRIPTION'''

A postdoctoral position is available in School of Computer Science and
Engineering at the University of New South Wales, Australia. The successful
candidate will work with Dr. Wei Wang on utilizing Natural language processing
(NLP), data mining, and semantic web to develop novel algorithms, tools and
methods for constructing and maintaining domain-specific knowledge graphs from
vast amount of unstructured/semi-structured data sources. This position is
funded by Data to Decisions Cooperative Research Centre (D2D CRC), which was
established in 2014 with a grant of A$25 million from the Australian Government,
researchers and industry to provide the Big Data capability resulting in a safer
and more secure nation and a sustainable Big Data workforce for Australia.

'''POSITION REQUIREMENTS'''

Essential criteria:

* Proven ability to undertake research in a relevant research area (e.g. natural language processing, data mining, knowledge graph) at an international level, as evidenced by research output.
* Excellent programming skills (java or C/C++).
* A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, KDD, IJCAI, AAAI, ICML, NIPS, SIGMOD, VLDB) and journals.
* Proven ability to communicate specialist ideas clearly in English using written media.
* Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.
* A PhD in Computer Science or closely related area, or equivalent experience. Candidates with pending degrees who will successfully defend their dissertations by August 1, 2016 will also be considered.

Desirable criteria:

* Knowledge of statistical natural language processing.
* Knowledge of knowledge graph construction and applications.
* Experience with analysing large text corpora using a high-performance computing environment.
* Experience with python/R

'''SALARY RANGE AND CONTRACT LENGTH'''

* Research Associate: A$86,438 - A$92,453 per year (plus employer superannuation)
* Research Fellow: A$97,090 - A$114,454 per year (plus employer superannuation)

This is a fixed term position of one year with further renewal up to January 2019, subject to funding.

'''ENVIRONMENT'''

The School of Computer Science and Engineering in UNSW, located in Sydney, is
one of the largest and leading computing schools in Australia. It offers both
undergraduate and postgraduate programs in Software Engineering, Computer
Engineering, Computer Science and Bioinformatics, as well as a number of
combined degrees with other disciplines. It attracts excellent students who have
an outstanding record in international competitions (such as Robocup).

'''APPLICATION'''

Please send a statement of interest, an academic CV (in pdf format) to Wei Wang
(weiw@cse.unsw.edu.au) with the subject line starting with "[CRCPostdoc]". For
informal queries, please send an email to weiw@cse.unsw.edu.au.

==Computer Science Postdoctoral Researcher in Natural Language Processing for Social Science==

* Employer: University of Pennsylvania
* Title: Postdoctoral Researcher
* Specialty: NLP
* Location: Philadelphia, PA
* Deadline: May 15th, 2016
* Date posted: April 26th, 2016
* Contact: Professor Lyle Ungar: ungar@cis.upenn.edu

'''Summary'''

We invite applicants for a postdoctoral research position in natural language processing for health and social science, working on an interdisciplinary research project studying subjective well-being and health outcomes. The researcher will help develop state-of-the-art methods and models to better understand people, such as predicting personality from the words they use and automatically recognizing cognitive distortions typical of people prone to depression.
The primary responsibility will, of course, be producing top-quality published research in areas of interest to you and the WWBP team. You will be expected to lead multiple peer-reviewed publications each year and to support (as secondary author and technical expert) many more publications. As part of that latter process, we would like you to serve as the equivalent of a “Chief Technology Officer” of the WWBP, providing technical oversight and mentoring to the programmers and data scientists who build and maintain our software and hardware infrastructure, and who do the vast bulk of the data collection and analysis for the WWBP.

The ideal candidate will have research experience in computational linguistics and applied machine learning. They will develop and code novel methods to leverage large datasets (i.e. billions of tweets) and use them to further our understanding of health, well-being, and the psychological states of individuals and large populations. Methods and results will be published in high impact computer science venues and, via collaboration with psychologists and medical doctors, in social science and health venues. See wwp.org for example publications.

Approximate Start Date: Summer 2016

'''How to Apply'''

Send a detailed CV with at least 2 references who can be contacted for letters to applications@wwbp.org. Include job-code “POSTDOC-CS” in subject line.

==Research Scientist, Natural Language Processing==

* Employer: EMR.AI Inc.
* Title: Research Scientist
* Specialty: NLP
* Location: San Francisco, CA
* Deadline: May 20th, 2016
* Date posted: April 21th, 2016
* Contact: David Suendermann-Oeft ([mailto:david@emr.ai david@emr.ai])

Headquartered in San Francisco, CA, EMR.AI Inc. is a leading provider of AI solutions to the medical sector. EMR.AI transforms unstructured information, in form of written, spoken, or typed reports, clinical test results, and radiographs into international standard codes saved in common EMR systems. The wealth of discrete medical data provided through this transformation in conjunction with EMR.AI's suite of medical analytics solutions enables stakeholders, practitioners, researchers, health providers, and policy makers to obtain a comprehensive picture of the available medical data in their organization.

'''Summary'''

EMR.AI Research & Development has openings for Research Scientists in the field of Natural Language Processing in our Downtown San Francisco offices. Scientists will work on projects spanning a variety of tasks including the semantic interpretation of written and spoken medical reports, the design of language models for a variety of NLP tasks and speech recognition, the summarization of written and spoken language in the medical domain, the incorporation of lexica, ontologies, relational databases, and other sources of structured and unstructured knowledge sources into EMR.AI’s medical NLP tool set, and others.

This is a unique opportunity to be part of a cutting-edge R&D team in the epicenter of the world’s AI tech industry with true impact on medical research.

'''Responsibilities'''

* Process huge corpora of medical textual documents to perform syntactic and semantic analyses and train, tune, and test probabilistic and other data-driven models, using both existing tool benches, proprietary and open-source, as well as self-developed algorithms and techniques.
* Produce high-quality programs and scripts to embed scientific algorithms into effective prototypes and demos to be shared with EMR.AI’s leadership team, its customers, partners, and vendors.
* Create and document technological innovations by means of patent disclosures, scientific publications, media alerts, and other channels.
* Work closely with EMR.AI’s speech processing team and its software engineering division to produce innovative and effective solutions for a range of AI products and services in the medical domain.
* Represent the R&D division in communications with EMR.AI’s leadership team, its customers, partners, and vendors at meetings, conventions, and other venues as well as in written statements.

'''Skills'''

PhD in computer science, computational linguistics, electrical engineering, or a related field. Experience in the state of the art of NLP and its standard tools is required. Candidates must be very skilled in programming and must have a proven scientific track record. They must be excellent team players, including with distributed teams, and strong in oral and written English communication. Knowledge of the US medical sector is desirable, so are experience with start-ups and strong scientific connections throughout the Bay Area and beyond.

'''Benefits'''

EMR.AI offers competitive salaries, an excellent benefit package, and a stimulating work environment in the heart of San Francisco with manifold local, domestic, and international commercial and academic partnerships.

'''How to Apply'''

Please send your application documents to [mailto:jobs@emr.ai jobs@emr.ai]

'''Contact'''

EMR.AI Inc.

90 New Montgomery St

San Francisco, CA 94105, USA

phone: +1-415-200-8535

e-mail: [mailto:info@emr.ai info@emr.ai]

www: [http://emr.ai http://emr.ai]

==Research Scientist on Natural Language Processing==

* Employer: IBM Research Ireland
* Title: Research Scientist
* Specialty: NLP, Machine Learning
* Location: Dublin
* Deadline: May 5th, 2016
* Date posted: April 11th, 2016
* Contact: [https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=26059&siteid=5016&AReq=36957BR link to application page]

Ireland is accepting applications for full-time researchers in the area of natural language processing. The ideal candidate will have a PhD degree in computational linguistics or in computer science with a specialisation in Natural Language Processing (NLP). Prior experience in the area of text analytics with information extraction, information retrieval and machine learning are highly desirable, and experience with corpus linguistics or natural language understanding are a plus. Strong programming skills in Java are required.

The successful research candidate must have demonstrated ability to define research plans, carry out leading research, and publish research results through professional journals, academic conferences, and patents.
As a researcher you will be expected to organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions have a significant impact.

==Postdoc Researcher on Vision and Language==

* Employer: University of Liverpool
* Title: Postdoc
* Specialty: Computer Vision with an interest in human vision/language behaviour
* Location: Liverpool UK
* Deadline: April 20th, 2016
* Date posted: March 28, 2016
* Contact: [https://www.liverpool.ac.uk/working/jobvacancies/currentvacancies/research/r-590571/ link to application page]

Applications are invited for a Postdoctoral Research associate position to study the relationship between visual/spatial representations and language. Language is often used to describe the visual world and this is done by labelling objects in the world with various categories such as roles (e.g., agent, goal). There is now a large infant social cognition literature which shows how categories like agents and goals may be identified using simple visual heuristics. In this post, we will strengthen these links by experimentally manipulating visual cues to see how they influence language choices in adults and children. In addition to the experimental study of these links, we will also develop computational models that use computer vision techniques to track the interaction of objects in videos and link these visual codes to the descriptions of the actions. We are most interested in people with a computational background who have an interest in human vision/language processing.

This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the ESRC International Centre for Language and Communicative Development (LUCID, http://www.lucid.ac.uk/), a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster. You should have (or be about to obtain) a PhD in the field related to Computer Science, Psychology, Cognitive Science, or related disciple. The post is available for 3 years.

==Postdoc Positions at Johns Hopkins University==

* Employer: Johns Hopkins University
* Title: Postdoc
* Specialty: NLP, Machine Learning, Social media analysis for computational social science, health/medicine
* Location: Baltimore, MD
* Deadline: March 31, 2016
* Date posted: March 1, 2016
* Contact: [http://www.clsp.jhu.edu/employment-opportunities/ http://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 and language processing, including the areas of natural language processing, machine learning and health informatics. Applicants must have a Ph.D. in a relevant discipline and a strong research record.

The center has a number of postdoctoral positions available for the coming year. Possible research topics include:
* Trend Detection in Social Media
* Broadly Multilingual Learning of Morphology
* Stochastic approximation algorithms for subspace and multi-view representation learning
* Analysis of large-scale time series data in healthcare

Host faculty include:
Mark Dredze, David Yarowsky, Jason Eisner, Sanjeev Khudanpur, Benjamin Van Durme, Raman Arora, Suchi Saria

==Associate/Full Professor in Computational Linguistics at Stony Brook University==
* Employer: Department of Linguistics, Stony Brook University
* Title: Associate/Full Professor
* Specialty: Computational Linguistics
* Location: New York, USA
* Deadline: <strike>March 14, 2016</strike> May 1, 2016
* Date posted: February 17, 2015
* LinguistList Announcement: [http://linguistlist.org/issues/27/27-861.html http://linguistlist.org/issues/27/27-861.html]
* Contact: Lori Repetti [mailto:lori.repetti@stonybrook.edu lori.repetti@stonybrook.edu]

'''Job Description'''

The Department of Linguistics at Stony Brook University invites applications for a tenured appointment in computational linguistics, beginning Fall 2016 or Fall 2017. This is a senior appointment at the Associate or Full Professor level.

The successful candidate will have a PhD (preferably in Linguistics or Computer Science), an outstanding research profile in Computational Linguistics (ideally in areas that complement existing departmental strengths), a strong track record in grant acquisition, and teaching and advising experience at the graduate and/or undergraduate levels.

They will also be expected to

* Contribute to the ongoing development of the Department's degree programs in linguistics and computational linguistics,
* Initiate new collaborations and expand existing ones with other computational research groups on campus, in particular in the Department of Computer Science and the Institute for Advanced Computational Science,
* Strengthen the department's connections with the local IT industry.

Salary will be commensurate with education and experience.

'''Application'''

Applications must be submitted via AcademicJobsOnline: [https://academicjobsonline.org/ajo/jobs/6983 https://academicjobsonline.org/ajo/jobs/6983]

==Research Scientist at the Allen Institute for Artificial Intelligence==

* Employer: Allen Institute for Artificial Intelligence (AI2)
* Title: Research Scientist
* Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
* Location: Seattle, WA
* Deadline: N/A, we are hiring throughout 2016
* Date posted: 02/09/2016
* Contact information: ai2-info@allenai.org
* Website: http://allenai.org/jobs.html

'''Job Description'''

The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.

'''Position Summary'''

AI2 currently has projects in the following areas:

* Language and Vision
* Information extraction and semantic parsing
* Question answering
* Language and reasoning
* Machine learning and theory formation
* Semantic search
* Natural language processing
* Diagram understanding
* Visual knowledge extraction and visual reasoning

And more….

AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting AI2’s research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.

'''Applicant'''

Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research.

'''Why AI2'''

In addition to AI2’s core mission of being a leader in the field of AI research, we also aim to create a superb team environment and to invest in each team member’s personal development. Some highlights are:

* We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning right alongside us;
* We value diversity of thought – we seek Research Scientists who can bring novel experiences and modes of problem solving to our leading-edge mission. If you are creative and efficient in your approach and insightful in your questioning, AI2 could be a great environment for you;
* We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave;
* We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures;
* We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, we have the defending Super Bowl champions, and we have so much else. We even have kayaks for you to paddle right outside our front door;
* We are friendly – chances are you will like every one of the 30+ (and growing!) people who work here. We do!

'''Application Process'''

Visit our website for more information: http://allenai.org/jobs.html

==Software Engineer - Machine Learning / NLP (Chinese) at SYSTRAN==

* Employer: SYSTRAN
* Title: Software Engineer
* Topics: Machine Learning, Natural Language Processing, Machine Translation
* Location: San Diego
* Deadline: Open until filled
* Date Posted: January 29, 2016
* Contact: Apply directly at https://recruit.systrangroup.com/recruit/Portal.na

SYSTRAN is currently seeking an experienced Software Engineer specializing in Machine Learning / NLP to join our R&D team in San Diego to develop machine translation systems.

The ideal candidate must have a combination of research and implementation skills, including significant programming experience. Hands-on experience with machine learning, including deep neural network, text classification, statistical techniques for NLP or a related field, is highly desirable.

Responsibilities include software development, experimentation, analysis of results, and building systems that combine linguistics and statistical language models for machine translation centering on Chinese language.

'''Key Qualifications'''
* Knowledge of natural language processing field, including but not limited to, formal grammar, syntactic parsing and morphology
* Good algorithmic knowledge of machine learning
* Experience writing and debugging software
* Strong communications skills
* Ability to work well as part of a team
* Fluent in English.
* Fluent in Chinese is a plus

'''Education and Experience'''
* MS or Ph D in Computational Linguistics / Computer Science or relevant field.
* 2+ years work experience preferred

'''Benefits'''
* Successful candidates will be offered a competitive salary based on their qualifications and experience.

==Vacancy for Lecturer/Senior Lecturer/Reader at University of Dundee==

* Employer: University of Dundee
* Title: Lecturer/Senior Lecturer/Reader
* Topics: Computational Linguistics, Language, Argumentation, Artificial Intelligence
* Location: Dundee, UK
* Deadline: 27 February 2016
* Date Posted: 12 January 2016
* Contact: Prof. Chris Reed (see http://arg.tech/lecturer)

£34,576 to £55,389 Full Time, Permanent

The University of Dundee’s School of Science & Engineering is advertising several permanent posts including one covering the Centre for Argument Technology. We are particularly keen to receive applications from candidates in Computational Linguistics to expand the group’s research in Argument Mining (see http://argmining2016.arg.tech and http://arg.tech/am), but welcome applications in all areas of the overlap between argumentation and artificial intelligence. A strong publication profile is essential, and for more senior appointments, so is a track record of funding success.

For further information about the Centre for Argument Technology, please see http://arg.tech or contact Prof. Chris Reed; for more information about the position, see http://arg.tech/lecturer. General details follow.

'''Summary of Job Purpose and Principal Duties'''

The University of Dundee is seeking an exceptional candidate to join one of our Computing research groups, based within the School of Science and Engineering. The successful candidate will develop new research lines within either the (i) Human Centred Computing Group; (ii) the Centre for Argument Technology; or (iii) the Space Technology Centre. Full information on the current research in each
group can be found in the Further Particulars.

The successful candidate is expected to have a strong track record of research and a clear research plan that articulates with (or expands significantly) one of these areas. They will be expected to contribute to the development of research in this area by publishing in the highest quality journals and attracting appropriate research funding. For appointments at Grade 8 and 9, candidates are expected to show evidence of having attracted independent funding. The School encourages applications from holders of personal
Fellowships.

Additionally, the successful candidate will be expected to take an active role in the teaching of undergraduate computing programmes as well as supporting teaching at Masters level.

'''Job Summary'''

The appointee will be expected to contribute to research in Computing and to teaching and administration within the School of Science and Engineering. They will be expected to:

* Contribute to the ongoing research in one of the three research groups described above.
* Contribute to the generation of external research funding.
* Publish in high quality research journals and major international conferences.
* Teach at undergraduate and post-graduate level.
* Supervise students at all levels (honours and MSc projects, PhD).
* Undertake administrative duties.

'''Application Requirements'''

In addition to the online form, applicants must include with their application:

* Cover letter outlining fit to role.
* Research plan (1-2 pages) covering proposed research over the first three years of the appointment.
* Teaching plan (1-2 pages) outlining fit to current teaching at Dundee and teaching methodology.

==Postdoctoral Fellow in Computational Models of Reasoning / Intelligence Systems Section at AI Center / US Naval Research Laboratory==
* Employer: US Naval Research Laboratory
* Title: Postdoctoral Research Fellow
* Topics: Reasoning, Computational Modeling, Language, Artificial Intelligence
* Location: Washington, DC
* Deadline: Open until filled
* Date Posted: January 20, 2016
* Contact: Sunny Khemlani (sunny.khemlani@nrl.navy.mil)

'''Research focus''': The Postdoctoral Fellow will collaborate on various projects in reasoning, including (but not limited to) building a unified computational framework of reasoning; investigating how people engage in explanatory reasoning; and testing a system that reasons about time and temporal relations.

'''Supervisor''': Sunny Khemlani, PhD

'''Key qualifications''': A Ph.D. in cognitive psychology, cognitive science, or computer science, with experience in higher level cognition, experimental design and data analysis, or cognitive modeling. Experience with theories of reasoning, computer programming, and cognitive modeling is a strong plus.

'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance.

'''Program and compensation''': The Fellowship operates through the NRC Research Associateship Program (http://sites.nationalacademies.org/pga/rap/). Only US citizenship or green card holders are eligible for the program. Fellows are compensated through a research stipend of ~$75,000/year.

'''To apply''': Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.

==Internship positions available at Juji, Inc.==
* Employer: Juji, Inc.
* Title: Intern
* Location: Saratoga, CA
* Deadline: open until all the positions are filled
* Date Posted: January 14, 2016

'''Description''':
Have you ever watched the movie Her? Have you ever wondered or wished to have a virtual partner just like Samantha, who could tell you what you really are, whom your best partner may be, and even cheers you up? At Juji, we are building a hyper-personalized, virtual REP (Responsible, Empathetic Pal) for everyone. Your REP not only understands who you are, including your personality, motivations, and strengths, but it can also chat with you to learn and help fulfill your certain needs.

We are seeking highly motivated and talented students, who are eager to help us tackle great technical challenges at Juji and to expand their knowledge and skills in the real world. We are especially interested in students who have had worked or love to work in the following areas: Artificial Intelligence, Natural Language Processing/Natural Language Generation, Machine Learning, Human-Computer Interaction, Information Visualization/Visual Analytics, and Cognitive Science.

We have multiple positions on two main tracks:

* Software development. If you love to create amazing software technologies and systems for real users, this is the track for you. You are expected to own and deliver a relatively independent project that will contribute to our cutting-edge product development effort.

* Scientific research. If you love to design and conduct scientific experiments to answer a specific set of research questions, this is the track for you. You will work on a government funded research project on understanding human trust in a digital environment. You are expected to play a critical role in designing and conducting novel research studies and writing papers that lead to scientific publications.

'''Qualifications'''
Outstanding current students towards a bachelor or higher degree in the area of Computer Science, Computer Engineering, or equivalent disciplines are encouraged to apply. Strong software development or visual design skills are a plus.

'''To apply''': Please email a copy of your resume to the following address: jobs@juji-inc.com with a subject line “Summer Internship 2016”, and state your track preference in your email body.

==Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School==
* Employer: Brigham and Women's Hospital / Harvard Medical School
* Title: Postdoctoral Research Fellow
* Topics: Natural Language Processing, Artificial Intelligence, Predictive Modeling
* Location: Boston, MA
* Deadline: Open until filled
* Date Posted: January 8, 2016
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)

'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.

'''Supervisor''': Alexander Turchin, MD, MS, FACMI

'''Required skills''': experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with artificial intelligence technologies, predictive modeling, Big Data and medical terminologies / ontologies is a strong plus.

'''Education''': PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.

'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.

'''Available''': Immediately.

'''Compensation''': according to NIH (NRSA) stipend levels.

'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.

Employment opportunities, postdoctoral positions, summer jobs

2015-04-07T10:55:34Z

Stevenschockaert: PhD scholarship added

Employment opportunities, postdoctoral positions, summer jobs

2015-01-09T20:35:48Z

Stevenschockaert: /* Postdoc position in Cardiff (NLP, IR, machine learning) */

* '''[[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]]






==Postdoc position in Cardiff (NLP, IR, machine learning)==
*Employer: Cardiff University
*Title: Postdoc
*Specialties: Natural language processing, information retrieval, machine learning, distributional models, relation extraction, commonsense resoning
*Location: Cardiff, UK
*Deadline: 3 February 2015
*Date posted: 9 January 2015
*Contact information: SchockaertS1@cardiff.ac.uk

'''Job Description'''

Applications are invited for a postdoctoral research associate post in the School of Computer Science & Informatics at Cardiff University. This is a full-time, fixed-term post for 30 months, starting on 1 May 2015 or as soon as possible thereafter.

The main aim of this project is to learn fine-grained semantic relations from large text corpora. Initially such relations will be obtained in an unsupervised way, by identifying semantic relations with spatial relations between vector-space representations. Subsequently, open-domain, supervised relation extraction methods will be developed which use the output of the unsupervised methods as training data. This research will be part of an ERC funded project on the use of semantic relations between natural language terms in logics for commonsense reasoning. You will work closely with Dr Steven Schockaert. You will possess a PhD in Computer Science or a closely related area, or have equivalent experience.

'''Essential criteria'''

*Proven ability to undertake research in a relevant research area (e.g. natural language processing, information retrieval, machine learning) at an international level, as evidenced by research output.
*Excellent programming skills (java or C/C++).
*A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, SIGIR, CIKM, IJCAI, AAAI, ICML) and journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, ACM Trans. Information Systems, IEEE Trans. Knowledge and Data Engineering).
*Proven ability to communicate specialist ideas clearly in English using written media.
*Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.
*A PhD in Computer Science or closely related area, or equivalent experience.

'''Desirable criteria'''

*Knowledge of statistical natural language processing.
*Knowledge of unsupervised and semi-supervised learning.
*Knowledge of relation extraction.
*Experience with analysing large text corpora using a high-performance computing environment.
*Experience with dimensionality reduction methods such as multi-dimensional scaling, singular-value decomposition, and non-negative matrix factorisation.

'''More information'''
For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 2972BR.

==Post‐Doctoral and all levels of Research Scientist at the Allen Institute for Artificial Intelligence==
*Employer: Allen Institute for Artificial Intelligence (AI2)
*Title: Post-doc/Research Scientist
*Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
*Location: Seattle, WA
*Deadline: N/A, we are hiring throughout 2015
*Date posted: 12/9/2014
*Contact information: ai2-info@allenai.org, allenai.org

'''Job Description'''

The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Post Docs and Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.

'''Position Summary'''

AI2 currently has projects in the following areas:
*Language and Vision
*Information extraction and semantic parsing
*Question answering
*Language and reasoning
*Machine learning and theory formation
*Semantic search
*Diagram understanding

AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting the research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.

'''Applicant'''

Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, or question answering and explanation. We look favorably upon extensive work experience demonstrating application of your research.

'''Application Process'''

All candidates are required to submit a resume, an expression of interest, and the names and contact information of at least 2 references (including email addresses) through our website: http://allenai.github.io/ai2website/jobs.html. We particularly welcome applications from women, people of color, members of the LGBT communities, and people with disabilities. Visa sponsorship is available.

==Internship and Full-time positions available in Natural Language Processing at Apple Inc. (Siri)==
* Employer: Apple Inc.
* Title: Language Understanding / Dialog Scientist
* Natural Language Processing, Machine Learning, Semantic Parsing, Dialog Systems.
* Location: Cupertino, CA
* Deadline: rolling
* Date Posted: December 2, 2014
* Thomas Kollar: tkollar@apple.com

'''Description''':
Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language understanding, big data, and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the language understanding and dialog team at Apple. The Siri team is looking for exceptionally skilled and creative scientists and engineers eager to get involved in hands-on work improving the Siri experience.

'''Key Qualifications'''
*Experience with semantic parsing, dialog modeling, information extraction, question answering, semantic web, syntactic parsing, machine translation, language modeling, sentiment analysis or speech processing.
*Experience with supervised, weakly-supervised and unsupervised machine learning algorithms.
*Exceptional analytical, troubleshooting and problem solving skills
*Ability to implement algorithms in Java and C++ in addition to performing experiments using scripting languages (Python, Perl, Ruby, bash).
*Strong software engineering skills
*Experience working with multilingual datasets
*Large scale data analysis experience using distributed clusters (e.g. Pig, Spark, GraphLab, GraphX, MapReduce) a plus

'''Description'''
You will be a part of a team that's responsible for a wide variety of natural language processing and spoken dialog systems research and development activities, including semantic parsing, dialog modeling, information extraction and question answering. Traditionally these conversational understanding applications have been focused on developing algorithms for a particular domain or language. Here at Siri, you will use large amounts of training data from Siri requests and the web to solve these problems across languages and domains. You are passionate about using your skills to implement and improve algorithms in order to create the phenomenal products. Because you'll be working closely with engineers from a number of other teams at Apple, you’ll need to be a team player who thrives in a fast paced environment.

'''Education'''
M.S. or PhD in Computer Science or related field

'''Additional Requirements'''
2+ years of experience in natural language processing, speech processing, machine learning, artificial intelligence or dialog systems is desired.

==Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering==
* Employer: The Ohio State University
* Title: Assistant/Associate/Full Professor
* Specialty: open, two positions in Data Analytics
* Location: Columbus, OH, USA
* Deadline: January 31, 2015 (Consideration starts November 2014)
* Date Posted: November 17, 2014
* Website: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi

The Computer Science and Engineering Department at the Ohio State University expects to fill multiple tenure-track positions and seeks applicants in all areas of computer science.

Particular emphasis will be placed on filling two open rank positions in conjunction with a broad university-wide research initiative on Data Analytics (https://discovery.osu.edu/focus-areas/data-analytics/collaborative.html), and a recently announced undergraduate program in Data Analytics (https://data-analytics.osu.edu). Areas of interest for these positions include (but are not limited to): data mining, big data management, cloud computing systems, data analytics; application of machine learning or data mining or data visualization to problems in network science (including social networks), health, and climate science.

The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.

Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.

To apply, please submit your application via the online database. The link can be found at: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.

Review of applications will begin in November 2014 and will continue until the positions are filled.

The Ohio State University is an Equal Opportunity/Affirmative Action Employer.

==Postdoctoral positions in NLP and text/data analytics at Mayo Clinic ==
* Employer: Mayo Clinic
* Title: Postdoctoral
* Specialty: many, see below
* Location:Rochester, MN, USA
* Deadline: December 25, 2014
* Date Posted: November 6, 2014
* Website: http://www.mayo.edu

Mayo Clinic Natural Language Processing (NLP) Program is currently seeking multiple talented postdoctoral candidates with research interest in NLP, text mining, or predictive analytics to join the program. The appointee will join a diverse team of researchers in Mayo Clinic NLP Program to research on information extraction (IE), information retrieval (IR), and predictive analytics techniques in the big data era for better information access and delivery, document processing, text mining, and advanced analytics in the clinical and biomedical domain.

Key requirements and selection criteria for the position include:
- PhD in Biomedical Informatics, Computer Science, Statistics, Bioinformatics, Computational Linguistics, Artificial Intelligence, or a related discipline
- Demonstrated expertise in some of the following areas: information retrieval, natural language processing, machine learning, data mining, human computer interaction in an IR setting, knowledge extraction and management

Other desirable skills and selection criteria include:
- Knowledge of big data techniques is plus.
- Demonstrated informatics expertise in some of the following areas: literature mining, clinical natural language processing, clinical terminology and ontology, clinical data warehouse and secondary use of EMR applications
- Good interpersonal and communication skills and a demonstrated commitment to working collaboratively inside NLP program and a strong interest and devotion in working with clinicians and biomedical researchers
- Familiar with Unstructured Information Management Architecture (UIMA) framework and programming skills in a variety of languages
- Demonstrated experience in machine learning and statistical techniques and/or experimental design and analysis for clinical and biomedical studies

Team: Mayo NLP program is a hybrid program which aims to conduct the state-of-the-art NLP research and translating NLP research into practical NLP algorithms to facilitate clinical research and practice. The program consists of seven postdoctoral NLP experts and a handful of NLP software engineers. The program plays a significant role in multiple institutional initiatives including i) NLP infrastructure enabled by Big Data, ii) applied informatics in delivering enhanced analytics to the practice, iii) practice analytics which aims to deliver systematic approaches for quality improvement and comparative effectiveness analysis, and iv) knowledge discovery and management which aims to discover and manage domain knowledge and translate it into executable applications in practice.

Terms: The position is available immediately. Mayo Clinic offers an attractive salary (commensurate with qualifications) and benefits package. Mayo Clinic is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women and minorities.

Application Process: Please email Dr Hongfang Liu with your (1) resume/CV, (2) letter of application/cover letter, and (3) contact information for three references including mailing address, e-mail address, and phone number.

Hongfang Liu, PhD (liu.hongfang@mayo.edu)
NLP Program Director
Associate Professor of Biomedical Informatics
Mayo Clinic, Rochester, MN

Mayo Clinic | Department of Health Sciences Research | Division of Biomedical Statistics & Informatics
200 First Street SW | Rochester, MN 55905 | 507-293-0057 (office)

==Faculty Position at UC Berkeley School of Information (Assistant, Associate, Full) ==
* Employer: UC Berkeley
* Title: Professor (Assistant, Associate, or Full)
* Specialty: many, see below
* Location: Berkeley, CA, USA
* Deadline: December 15, 2014
* Date Posted: October 10, 2014
* Website: http://www.ischool.berkeley.edu/about/ischooljobs/faculty-info-org

The UC Berkeley School of Information is seeking a tenured or tenure-track professor with expertise in information organization.
Candidates should have a demonstrated record of relevant research, with expertise in one or more of the following:

search and information retrieval
- automated content analysis, including
- applications to normalizing data and creating metadata, and/or applications to analyzing social science text, such as political text, or other information rich text such as - biomedical, legal, or marketing text;
- practical computational approaches for analyzing information in non-textual formats;
- conceptual modeling of information systems;
- computational approaches to cognition;
- semantic representation and annotation;
- vocabulary and metadata design;
- classification and standardization including policy considerations;
- category learning at scale;
- data wrangling.

A successful candidate will possess appropriate technical expertise and research excellence, and be committed to working on issues related to information and/or information system design and development in a multidisciplinary setting. Relevant professional or industry experience, including hands-on experience with large-scale collections, is also desirable.

Additionally, a successful candidate must be able to teach a course in the design, structure, and use of category systems, data architecture and design for information systems, metadata creation and normalization, and data interchange formats and standards. Additional instructional topics that are desired but not required are database design, natural language processing, and information retrieval and ranking.

Applications are due December 15, 2014.

For more details, see the full job description at: http://www.ischool.berkeley.edu/about/ischooljobs/faculty-info-org

==Post-doctoral position at McMaster University, Canada ==
* Employer: McMaster University
* Title: Postdoctoral Fellow
* Specialty: natural language processing, sentiment analysis, computational linguistics.
* Location: Hamilton, Ontario, Canada
* Deadline: December 20, 2014
* Date Posted: October 23, 2014
* Website: http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf

Applications are solicited for a postdoctoral fellowship in the Cognitive Science of Language graduate program at McMaster University for the topic of developing psychologically grounded tools for sentiment analysis. Applicants would have their primary affiliation and work location in the Department of Linguistics and Languages at McMaster University, and will be working closely with a vibrant cross-faculty team of linguists, psychologists and computer scientists. The selected candidate will contribute to a research program that explores individual and group (gender, age) variability in perception and regulation of emotion. You will be expected to participate in a research program that explores individual and group (gender, age) variability in perception and regulation of emotion.

Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data, including social media. Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data. Equally important to the project is the development of lexical-semantic tools allowing big data analyses of text corpora for the purposes of text classification, topic modeling, development of semantic networks, and estimation of semantic similarity.

Please see the following web page for further details and the application procedure:
http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf

== Post-doc in Bio-NLP Social Media Mining for Adverse Drug Reactions ==
* Employer: University of Liverpool
* Title: Postdoctoral Research Associate
* Specialty: Bio-NLP, Natural Language Processing, Social Media Mining, Web Mining
* Location: Liverpool, United Kingdom
* Deadline: November 14, 2014 17:00 GMT
* Date Posted: October 23, 2014

You will work on the IMI project, WEB-RADR. This is a highly innovative project involving collaboration across the EU and with researchers in the USA which will evaluate the use of social media in identifying adverse reactions to drugs. You will be working between two Faculties (Science & Engineering, and Health & Life Sciences) and the project will be inherently inter-disciplinary. Practical experience of software development, and good knowledge of Bio-NLP tasks such as NER, text classification, and social media analysis are essential to the role. You should have a PhD Level in NLP, Data/Web/Text Mining, or Machine Learning. The post is available until 31 August 2017.

Please see the following web page for further details including job specifications and application form.
http://www.liv.ac.uk/working/jobvacancies/currentvacancies/research/r-586752/

==Tenure-track Faculty Position at University of Michigan School of Information==
* Employer: University of Michigan
* Title: Assistant Professor
* Specialty: Information Analysis and Retrieval
* Location: Ann Arbor, Michigan, USA
* Deadline: November 15, 2014 preferred
* Date Posted: October 22, 2014

https://www.si.umich.edu/prospective-faculty/position-call-information-analysis-retrieval

The School of Information at the University of Michigan (UMSI) seeks a tenure-track professor at the assistant professor level in the areas of information analysis, information retrieval, or “big data.” While we encourage applications from all areas of information analysis and retrieval, we are particularly interested in candidates with strong interest and expertise in creating novel techniques for mining large-scale text, behaviors, and scientific data and in developing visualizations or other interactive tools for data analysis. Applications of particular interest include, but are not limited to, scientific and health data analysis, text analysis, social media analysis and digital humanities.

The mission of the School of Information is to create and share knowledge to help people use information -- with technology -- to build a better world. A successful candidate will be committed to, and will directly contribute to our goal of being the best research and teaching institution for the understanding and design of information and its technologies in service of people and society.

The School is home to vibrant research and teaching programs, with 36 FTE professors, and over 400 students. We offer a Ph.D., a Master of Science in Information, a Master of Health Informatics (joint with the School of Public Health), and a Bachelor of Science in Information.

Founded in 1817, the University of Michigan has a long and distinguished history as one of the first public universities in the nation. It is one of only two public institutions consistently ranked among the nation's top universities. The University has one of the largest health care complexes in the world and one of the best library systems in the United States. With more than $1 billion in research expenditures annually, the University has the second largest research expenditure among all universities in the nation. The University has an annual general fund budget of more than $1.7 billion and an endowment valued at more than $7.6 billion.

Qualifications:
* Ph.D. in an area such as computer science, information science, statistics, informatics, computational linguistics, or related fields concerned with information analysis and retrieval
* Demonstrated potential and strong commitment to successful teaching at the undergraduate and graduate level
* Demonstrated potential for high scholarly impact
* A strong commitment to connecting information, technology, and people that values interdisciplinary research, and cultural diversity

Review of applications will begin on November 15, 2014 and will continue until the position is filled. For questions about potential fit and your application please contact Dr. Qiaozhu Mei (qmei@umich.edu).

Application materials required: cover letter, curriculum vitae (CV), research statement, teaching statement, three representative publications, and contact information for three references. For more information or to apply, please visit http://apply.interfolio.com/27182.

In addition to this position, the UMSI is also looking for applicants in the area of human-computer interaction, communication and technology, and health informatics.

==Asst/Assc/Full Professor, Ames, Iowa==
* Employer: Iowa State University
* Title: Assistant, Associate, or Full Professor
* Specialty: Natural Language Processing
* Location: Ames, Iowa, USA
* Deadline: December 3, 2014
* Date Posted: October 21, 2014

Iowa State University has launched the Presidential High Impact Hires Initiative to support targeted faculty hiring in areas of strategic importance. As part of the initiative, the Department of English and the College of Liberal Arts and Sciences invite applications for an Assistant, Associate, or Full Professor in natural language processing with an emphasis in educational applications, particularly analysis of students’ linguistic production. At the undergraduate level, the selected faculty will teach basic courses in English and Linguistics, and at the graduate level, courses in Applied Linguistics and Technology and in Human-Computer Interaction. Potential graduate course content includes programming for NLP, computational analysis of English, statistical analysis of language, discourse analysis, second language acquisition, sentiment analysis, language-based analytics, speech-driven user interfaces or automated content analysis, according to specialty. Research areas of particular interest are pedagogical applications of natural language processing, assessment of learners’ developing language ability, second language acquisition, statistical approaches to the study of language, and the analysis of discipline-specific language. The position begins August 2015.

The Applied Linguistics and Technology and the Human-Computer Interaction programs attract forward-looking students, who create an exciting intellectual environment. The programs are part of the Department of English, which offers BA degree programs in English, Literature, Rhetorical Studies, and Speech Communication; a BS degree in Technical Communication; as well as—in partnership with the Department of World Languages and Cultures—a minor in World Film Studies. On the graduate level, the department offers MA degrees in Literature; Rhetoric, Composition, and Professional Communication; TESL/Applied Linguistics; as well as an MFA program in Creative Writing and the Environment. The department also offers two PhD programs in Applied Linguistics and Technology and Rhetoric and Professional Communication. The Department of English is committed to diversity among faculty, staff and students who can enrich University objectives in the areas of research, teaching, and service. For more information, see http://www.engl.iastate.edu/.

Iowa State University is classified as a Carnegie Foundation Doctoral/Research University-Extensive, a member of the Association of American Universities (AAU), and ranked by U.S. News and World Report as one of the top public universities in the nation. Over 34,000 students are enrolled, and served by over 6,100 faculty and staff (see www.iastate.edu). Ames, Iowa is a progressive community of 60,000, located approximately 30 minutes north of Des Moines, and recently voted second best most livable small city in the nation (see www.amescvb.com).

Iowa State University is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women, underrepresented minorities, and veterans. ISU is responsive to the needs of dual career couples, is dedicated to work-life balance through an array of policies, and is an NSF ADVANCE institution.

All faculty members are expected to exhibit and convey good citizenship within the program, the department, college, and university activities and collegial interactions, and maintain the highest standards of integrity and ethical behavior.

A PhD by time of appointment in computational linguistics, natural language processing, or related field for all ranks. Assistant Professor, tenure-track- The potential for excellence in research and effectiveness in teaching; Associate Professor – A demonstrated record of accomplishments in scholarship, including an outstanding publication record, demonstrated ability to obtain research funding and effectiveness in teaching; Full Professor – A demonstrated record of intellectual leadership through high-impact scholarship, including an outstanding publication record, program of funded research and effectiveness in teaching. Language teaching experience and language assessment experience preferred.

Please apply for this position through the Iowa State University website at www.iastatejobs.com (Posting #400050) or by visiting http://www.iastatejobs.com/postings/7815 and click on "Apply to this Job". Please be prepared to enter or attach the following: a letter of application/cover letter, curriculum vitae, statement of teaching/research interests, transcript or list of graduate courses taken, and contact information for three references. Priority consideration will be given to applications received by December 3, 2014.

Iowa State University is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, genetic information, national origin, marital status, disability, or protected veteran status, and will not be discriminated against. Inquiries can be directed to the Director of Equal Opportunity, 3350 Beardshear Hall, (515) 294-7612.

==Computational Linguist, Wrocław, Poland==
* Employer: Wrocław University of Technology
* Title: Computational Linguist
* Specialty: Natural Language Engineering, Computational Linguistics
* Location: Wrocław, Poland/other
* Deadline: until filled
* Date Posted: October 15, 2014

'''Team'''

The academic group G4.19 brings together those interested in linguistics, computational linguistics, and natural language engineering. The Group develops and implements tools for natural language processing. The main focus is on the development of basic tools and language resources for Polish. The Group participates in a number of research projects, among others it coordinates the CLARIN-PL project: http://www.clarin-pl.eu.

'''Job description'''
* designing algorithms for the analysis of natural language texts, based on the combination of linguistic knowledge and methods of artificial intelligence (including machine learning, rule-based methods and methods of statistical analysis),
* developing computer systems related to natural language processing and coordinating the work of small teams of programmers (conducting test and research experiments),
* active participation in the ongoing research projects (planning and realisation of experiments , data processing, realisation of dedicated research tasks of varying complexity),
* active participation in preparing applications for new research grants,
* active participation in writing research papers.

'''Requirements'''
* enthusiastic approach to research and development of language technology for Polish,
* good knowledge of at least one of the languages: C ++, Python or Java,
* very welcome good knowledge of Polish,
* knowledge of English sufficient for reading scientific publications and technical documentation,
* welcome knowledge of Linux, Git, UML,
* the preferred candidates should hold PhD degree in computer science, but we do not exclude candidates holding PhD degree in a different field or those at the advanced stage of work on their PhD.

'''We offer'''
* participation in large research projects at national and international level,
* good basis for a scientific career and an opportunity of writing a dissertation,
* for PhD students: possibility of employment on a research assistant post,
* choice of form of employment (contract or other),
* attractive salary (in terms of market, not university wages),
* interesting job in a dynamic team,
* flexible working hours,
* flexible working time.

If interested, please send your CV and list of publications to: clarin-pl@pwr.edu.pl

The application must include a statement: "I hereby agree for processing my personal data for the purpose of the recruitment process (in accordance with Personal Data Protection Act dated 29.08.1997, Journal of Laws of the Republic of Poland No. 133, item 883)."

We kindly inform you that we will contact selected candidates only.

==Language Processing, Edinburgh, Scotland==
* Employer: Daxtra Technologies (http://www.daxtra.com)
* Title: Research Application Developer
* Specialty: Natural Language Processing
* Location: Musselburgh, nr Edinburgh, Scotland
* Deadline: until filled
* Date Posted: October 10, 2014

'''Job Description:'''

Daxtra Technologies are looking for people with a background in applied language/text processing to join the R&D team in Edinburgh. Daxtra (a spin-out from the University of Edinburgh) is the leading provider of Natural Language Processing techniques

You will be involved in multilingual grammar engineering, development of statistical text classifiers and search/retrieval components. Apart from a strong background in text processing you will need to demonstrate good experience in computer programming.

'''Location:'''

Daxtra Technologies headquarters in Musselburgh, nr Edinburgh, Scotland

'''How to Apply:'''

For further details or to send us your CV/resume, please contact a.nazarov@daxtra.com

==Computational Linguists==
* Employer: The Lingua Team
* Title: Computational Linguist
* Specialty: Natural Language Processing
* Location: Seattle or remotely
* Deadline: ASAP
* Date Posted: September 22, 2014

'''Description:'''
We are looking for several candidates (one for each of the languages advertised) with an advanced degree in Linguistics, or with Computational linguist background. The projects involve morphology tagging and/or linguistic analysis, but they can be done remotely. Languages: French, German, Spanish, US English, Japanese, Brazilian Portuguese, Finnish, or Polish. Please, provide a resume with your email application.

'''Qualifications:'''
* Computational Linguistics and/or advanced Linguistics degree
* Experience drafting grammars or adapting an existing grammar to a second language
* Programming experience desirable
* Full understanding of inflectional and derivational morphology, POS, lemmatization, etc.

'''Location:'''
Seattle, WA or remote

'''How to Apply:'''
Send your resume to info@thelinguateam.com

== Visiting Student Position in Spoken Language Understanding (NLP+Speech+ML) / TTI-Chicago / Chicago, IL ==

* Employer: Toyota Technological Institute at Chicago
* Title: Visiting student researcher
* Specialty: Machine learning, NLP, speech
* Location: Chicago, IL, United States, 60637
* Deadline: Until filled
* Date Posted: Sept 10, 2014

'''Job Description'''

Applications are sought for a paid visiting student position as part of a broad interdisciplinary project on spoken language understanding involving natural language processing, speech processing, and machine learning. The visiting student will work primarily with TTI-Chicago faculty Mohit Bansal (http://ttic.edu/bansal), Karen Livescu (http://ttic.edu/livescu), and Kevin Gimpel (http://ttic.edu/gimpel), and will also have opportunities to collaborate with other TTIC and University of Chicago faculty/researchers as relevant.

The position will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, speech and language processing, and computer vision. The duration of the position is flexible (6 to 18 months).

The target start date is Fall or Winter 2014. Compensation includes stipend and tuition (if applicable). The position will remain open until filled.

'''Responsibilities'''

The broad goal of the work is to advance text-based NLP tasks (e.g., syntactic parsing) via speech cues, using and developing deep learning and multi-view learning techniques. The specific focus of the student’s project will be determined by mutual agreement based on the student's background and interests.

'''Qualifications'''

Applicants are expected to have strong qualifications in machine learning (preferably deep or multi-view learning), and ideally also natural language processing (preferably syntactic parsing) or speech processing. Applicants should have a Bachelor’s degree in a related field, preferably pursuing a MS/PhD degree. There are no citizenship requirements for this position.

'''How to Apply'''

Please direct questions and interest in the position to slu-job@ttic.edu. Complete applications should be sent to the same address and consist of:

* brief cover letter, describing your interest in and qualifications for the position
* curriculum vitae including publication list
* two or more letters of reference (preferably directly emailed to slu-job@ttic.edu, or contacts who can supply letters on request)

Please see http://ttic.edu/bansal/slu-job.html for more information.

== NLP-Speech Data Scientist / Civis Analytics / Chicago, IL, USA ==

* Employer: Civis Analytics
* Title: Data Scientist
* Specialty: Natural Language Processing / Speech Processing / Machine Learning
* Location: Chicago, Illinois, USA
* Deadline: Rolling
* Date Posted: July 7, 2014

'''Who We Are:'''

Our Company is a Chicago-based Big Data analytics firm born in a large windowless back room of President Obama’s 2012 re-election campaign. We called it “The Cave.”

Beginning with the campaign, our mission as a team has been clear: help great organizations use their Big Data to solve their biggest problems. We are now applying our analytical expertise, specialized software, and innovative technological approach to help companies, non-profits, and campaigns leverage their data to develop smarter strategies, make better decisions, and build stronger, data-driven organizations. In the year since our company’s founding, we have helped solve problems as diverse as enrolling individuals for health insurance, optimizing TV ad purchases to reach more targets, and pinpointing individuals who want to sign up for a clean energy utility company.

We are not a group of spreadsheet management consultants; we are an inventive team of the best statisticians, scientists, engineers, and technologists in our fields building things that have never been built before. And we’re looking to add to our team.

We are already solving some of the world’s most demanding and complex problems with Big Data – working with organizations to analyze and understand their individual level intelligence to improve outcomes and implement organizational change. We work on teams with diverse skill sets to apply and invent new data science techniques, putting us at the forefront of innovation in our field as we solve problems that have never been solved before.

We are smart, fun, and a little bit weird. Does this sound like you?

'''Job Description:'''

The Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company. Our diverse work includes predictive analytics, algorithm development, experimental design, visualization, and survey research. As a Data Scientist on our Chicago-based Research and Development team, you will work closely and collaboratively with analysts and engineers to develop and operationalize the techniques that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas.

With a specialization in unstructured data, this Data Scientist role will apply techniques from fields such as machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets being collected at Civis. Because the majority of the world’s information is unstructured, being able to leverage these diverse and voluminous data sources adds tremendous value to Civis products and research. In this role, you will be a critical voice shaping both how unstructured data informs existing Civis products and services, and how it leads to the development of entirely new ways of serving our clients, novel to the industry as a whole.

We are looking for individuals from a diversity of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work, and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.

'''Minimum Qualifications:'''

* Master’s degree in a quantitative field, such as computer science, statistics, machine learning, or electrical engineering, or a Bachelor’s degree and outstanding work experience
* Knowledge of and practical experience in applying the methodology of one or more unstructured data analysis fields, such as natural language processing, speech processing, or computer vision.
* Familiarity with statistical packages such as R, Stata, or in the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
* Experience with common toolkits for unstructured data analysis, such as Theano, Torch, open-cv, the Stanford NLP tools, HTK, and Kaldi
* Experience with SQL databases
* Strong programming skills
* Experience identifying and correcting for problems in imperfect data
* An ability and eagerness to constantly learn and teach others

'''Preferred Qualifications:'''
* PhD in a quantitative field such as computer science, statistics, machine learning, or electrical engineering
* Ability to expand upon modern statistical learning methods
* Significant work experience in applying the methodology of one or more unstructured data analysis fields
* High proficiency in programming with Python, Go, Java, Lua, C, or other languages used for high-performance statistical computing
* Familiarity with architectures for scaling statistical computing to big data applications, such as Hadoop and Spark
* Theoretical understanding sufficient to independently implement complex neural network architectures

'''Location:'''

This posting is for a position in Civis’ Chicago headquarters.

'''Dates:'''

We are hiring for multiple positions and will evaluate candidates as applications are received.

'''How to Apply:'''

Applications may be submitted at http://www.civisanalytics.com/apply/entry/data-scientist-chicago-il.
Specific inquiries may be directed to Derrick Higgins: [mailto:dhiggins@civisanalytics.com dhiggins@civisanalytics.com].

== Postdoc in Natural Language Processing / Aix-Marseille University / Marseille, France ==

* Employer: Aix-Marseille University
* Title: Postdoc
* Specialty: Natural Language Processing
* Location: Luminy, Marseille, France
* Deadline: July 1st, 2014
* Date Posted: June 12, 2014

'''Job Description:'''

We are looking for an outstanding research scientist to join the "SENSEI" european project (http://www.sensei-conversation.eu/). You
will contribute to conversation analysis summarization research to
allow the exploitation of large quantity of comments in social
media and spoken conversations.

You will contribute to the design and development of speech and text
summarization technologies for conversational data such as social
media comments and tweets. There will be three components to the
system: linguistic analysis of the conversations, content selection
and aggregation, and generation of the summaries (text or other
media). The approach is expected to make use of recent machine
learning advances such as deep learning, and focus on limiting the
quantity of supervision needed. The prototype will be evaluated by
end-user professionals in ecological conditions.

'''Qualifications:'''

The applicant must hold a PhD degree, preferably in the field of
natural language processing or machine learning. He/she should:
* Be proficient in one of Java / C++ programming and python or php scripting
* Have experience with developing efficient NLP / machine learning systems.
* Be keen on researching the literature and writing papers
* Enjoy team work and be autonomous

'''Location:'''

You will work at the LIF computer science lab at Aix-Marseille
University in France, at the Luminy campus next to the
calanques.

'''Dates:'''

Interviews will be held in July 2014, the Postdoc will start in
september / october 2014 and last one year.

'''How to Apply:'''

Enquiries and applications should be sent to Benoit Favre: benoit.favre@lif.univ-mrs.fr

== Executive Director / CLARIN ERIC / Utrecht University, the Netherlands ==

* Employer: CLARIN ERIC through Utrecht University
* Title: Executive Director
* Specialty: Research Infrastructures
* Location: Utrecht University, the Netherlands
* Deadline: August 15, 2014
* Date Posted: June 10, 2014

'''Job Description:'''

CLARIN is one of the two big humanities pan-European research infrastructures on the ESFRI roadmap with global ambitions, expected to expand rapidly in the near future. It currently has about 25 centres in 10 countries and the number is growing. At the same time CLARIN is participating actively in several emerging global data infrastructure initiatives (e.g. RDA, EUDAT). In addition it is actively pursuing its collaboration with other international humanities research infrastructures such as DARIAH.

As our current Executive Director is retiring, CLARIN is looking for an inspiring person to continue this successful enterprise and lead it to the next level.

The main challenges the new executive director needs to lead on in the next years are: the expansion and the sustainability of CLARIN, to balance the central and distributed activities, increase outreach to new user communities, new collaboration partners and new continents, and to promote collaboration with commercial partners.

'''Responsibilities:'''

* Leading the Board of Directors of the CLARIN ERIC
* Building on prior work, drafting strategy, work programme, budget and staff plan for CLARIN
* Planning the technical development together with the Technical Director, overseeing the implementation and operation of the distributed infrastructure and coordinating centre cooperation
* Ensuring the long-term sustainability of CLARIN and guiding its European and global expansion
* Building strong pan-European and international relationships with a broad range of stakeholders within and outside the consortium. This includes CLARIN members, the relevant ministries and funding bodies, external language resource providers, the EU, and international bodies, including research infrastructures on the European Strategy Forum on Research Infrastructures (ESFRI) Roadmaps as well as other research infrastructures
* Leading the international fundraising efforts for CLARIN
* Monitoring and measuring CLARIN’s activities and reporting to General Assembly
* Specifically, monitoring the adherence of the national consortia to the operational rules and standards for CLARIN-related operations, and developing recommendations for counter-measures for any irregularities
* Ensuring that CLARIN’s services comply with appropriate ethical, legal and societal norms and principles
* Planning, organizing, and managing the main office in Utrecht, which includes recruitment
* Facilitating and supporting the operation of CLARIN’s governance bodies

'''Qualifications:'''

* A higher university degree or equivalent qualifications and an international interdisciplinary network
* Relevant experience in the European Research Area, international arena, as well as in European level funding mechanisms and understanding of the ESFRI process
* An understanding of current and emerging agendas and challenges in data management and curation in the humanities domain
* Excellent communicative skills
* A proven fundraising record
* A record of relevant academic excellence
* The ability to understand organisational and technical issues involved in building, maintaining, and federating digital repositories, catalogues, authentication services, and similar infrastructure components based on modern information technologies

'''How to Apply'''

For more information, please visit http://www.clarin.eu/news/vacancy-advertisement-executive-director

== Research Scientist in Natural Language Technologies / Bosch Research & Technology Center / Palo Alto, California ==

* Employer: Bosch Research & Technology Center
* Title: Research Scientist in Natural Language Technologies (PhD)
* Specialty: Natural Language Processing
* Location: Palo Alto, California, United States, 94304
* Deadline: Until filled
* Date Posted: May 19, 2014

'''Job Description:'''

The Language Interaction and Knowledge Engineering group of Bosch Research in Palo Alto, CA is responsible for shaping the future user experience of Bosch products by creating cutting-edge technologies. We collaborate closely with leading universities on solutions to hard challenges in speech, language, knowledge topics to enable natural, intuitive and intelligent communication between humans and computers. We work with internal partners to transfer our ideas and solutions into future products. Over the years, we have already developed innovative world-leading technologies in the areas of human machine interaction (HMI) systems.

To strengthen the Language Interaction and Knowledge Engineering team in our Palo Alto office we are seeking enthusiastic and creative researcher with a strong desire to drive technology development in this area.

'''Responsibilities:'''

* Develop large-scale natural language technologies and components, and improve the state-of-the-art HMI system performance with various methods
* Together with a team of experts, adapt and integrate language processing components into Bosch HMI system for different business areas
* Communicate with business departments about the technology potentials as well as identify potential areas of business values.

'''Qualifications:'''

* Ph.D. in Computer Science or related fields
* Strong research background in natural language technology development and applications, text mining, machine learning, and statistics
* Hands-on experience with natural language processing, text mining and machine learning algorithm implementation
* Strong skills in coding (C/C++ or Java), algorithms and system design
* Very good communication skill together with good quality publication
* Experience in text summarization research and development is a plus
* Experience in large system development and speech technology is a plus

'''How to Apply'''

For more information, and to apply online, please visit http://bit.ly/1k8UZ57

== Post-doc in Machine Learning, Computer Vision, Language Processing applied to Sign Language Analysis / TTI-Chicago / Chicago, IL ==

* Employer: Toyota Technological Institute at Chicago
* Title: Post-doctoral scholar
* Specialty: Machine learning, NLP, computer vision, speech
* Location: Chicago, IL, United States, 60637
* Deadline: Until filled
* Date Posted: May 12, 2014

'''Job Description'''

Applications are sought for a post-doctoral position as part of a project on automatic sign language analysis and recognition. The post-doc will work primarily with TTI-Chicago (TTIC) faculty Greg Shakhnarovich and Karen Livescu. The work is part of a broad interdisciplinary project including both recognition and linguistics of American Sign Language (ASL), in collaboration with U. Chicago linguistics faculty Diane Brentari and Jason Riggle. The post-doc will also have opportunities to collaborate with other TTIC and the University of Chicago researchers as relevant, and should be able to interact with colleagues in a broad range of disciplines.

The post-doc will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, computer vision, and speech and language processing. The position is for 2 years, contingent on annual reappointment.

The target start date is Fall 2014, with some flexibility. Compensation includes a competitive salary and benefits plan. The position will remain open until filled.

'''Responsibilities'''

The goal of the work is to advance automatic recognition and analysis of American Sign Language (ASL), in part through development of core methods for learning and vision. The specific focus of the post-doc's research will be determined by mutual agreement based on the post-doc's background and interests, and may include any of: new graphical models and learning techniques; articulated hand pose tracking and estimation constrained by the grammar of sign; domain adaptation/normalization for different subjects and signing styles; techniques inspired by speech recognition and NLP; and work with new data sources beyond video, including depth sensors (e.g. Kinect) and motion capture. Prior knowledge of and interest in ASL is preferred.

Advising and teaching opportunities are likely to be available if desired, but this is not a requirement of the position.

'''Qualifications'''

Applicants are expected to have strong qualifications in machine learning or related fields, and ideally also computer vision and/or speech and language processing. Applicants should have a PhD or expected PhD (by the end of 2014) in computer science, electrical engineering, statistics, or a related field. There are no citizenship requirements.

'''How to Apply'''

Please direct questions and interest in the position to ASL-postdoc@ttic.edu. Complete applications should be sent to the same address and consist of:

* brief cover letter, describing your interest in and qualifications for the position
* curriculum vitae including publication list
* contact information for two or more researchers who can provide letters of reference

Please see http://ttic.edu/livescu/ASL-postdoc.html for more information.

== Postdoctoral Fellow / INRIA / Saclay ==
* Employer: Institut National de Recherche dans l'informatique et l'Automatisme (INRIA)
* Title: PostDoc (12 months)
* Specialty: Natural Language Processing
* Location: Palaiseau, Ile-de-France, France
* Deadline: June 30, 2014
* Date Posted: May 6, 2014

'''Job Description'''

The principal mission of the postdoctoral candidate is to find new ways of inducing taxonomies and semantic dimensions from user generated and user captured personal data, integrating textual, quantified, geolocalized, image, sound and video data. The postdoc will also assist the TRACES team in developing algorithms and technology for creating a platform for private, personal information management.

'''Duties'''

Reporting to the Dr. Gregory Grefenstette, your
typical duties will include the following:

* Implement recent taxonomy/ontology induction algorithms, adapting them to the problem of personal information, applying them to personal data contributed by TRACES team members, evaluating results, and present their results in an international conference or workshop;
* Aid TRACES members in the construction of a private personal information platform based on open source information retrieval systems (Lucene/SolR);
* Discover and adapt existing open data taxonomies to the platform;
* Study how GPS information and other quantified personal data can be integrated into and augment the personal semantic structures induced from textual sources

'''Required Qualifications'''

The candidate must possess a recent PhD degree (granted 2013 or 2014) in computer
science, computational linguistics or a related discipline.
* Experience with natural language processing (e.g., Stanford Parser)
* Experience with ontologies/taxonomies (e.g., MeSH, FreeBase)
* Experience with classification algorithms
* Familiarity with dealing with large, noisy data sets
* Experience with web crawler, information retrieval systems (e.g., Lucene/Solr/ElasticSearch)
* Desire to produce functioning end-to-end systems, life-scale live demos
* Scientific rigour
* Imagination

'''How to Apply'''

Follow the instructions on the page: http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014/(view)/details.html?ContractType=4546&LG=EN&nPostingID=8473&nPostingTargetID=14242

Security and Defense procedure: In the interests of protecting its scientific and technological assets, Inria is a restricted-access establishment. Consequently, it observes special regulations for welcoming foreign visitors from outside of the Schengen area. The final acceptance of each candidate thus depends on applying this security and defense procedure.

'''About Us'''

Public science and technology institution established in 1967, Inria is is the only public research body fully dedicated to computational sciences. Combining computer sciences with mathematics, Inria's 3,400 researchers strive to invent the digital technologies of the future. Educated at leading international universities, they creatively integrate basic research with applied research and dedicate themselves to solving real problems, collaborating with the main players in public and private research in France and abroad and transferring the fruits of their work to innovative companies. The researchers at Inria published over 4,800 articles in 2010. They are behind over 270 active patents and 105 start-ups. In 2010, Inria's budget came to 252.5 million euros, 26% of which represented its own resources..

For more information, please visit http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014

== Postdoctoral Fellow / Bioinformatics Technology Lab / Genome Sciences Centre ==
* Employer: University of British Columbia and BC Cancer Agency
* Title: PostDoc
* Specialty: Natural Language Processing, Machine Learning
* Location: Vancouver, British Columbia, Canada
* Deadline: Until filled
* Date Posted: March 26, 2014

'''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 natural language processing and 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 natural language processing and machine learning tools for automated literature survey
* Analysis and annotation of data from genomics studies as they relate to the literature
* 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

'''Required Qualifications'''

The ideal candidate should possess a PhD degree and recent proven experience in computer
science, electrical engineering or a related discipline. A strong publication record in
the field, and demonstrated technical writing skills are highly desirable. Prior research
experience in bioinformatics is also desirable, but not required.

More experienced candidates will be considered for a Staff Scientist position, pending
successful funding.

'''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 14-03-27") 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

== PostDoc / NLP, Machine Learning, Medical Informatics / Worcester MA ==
* Employer: University of Massachusetts Medical School
* Title: PostDoc
* Specialty: Natural Language Processing, Machine Learning
* Location: Worcester, Massachusetts, United States, 01605
* Deadline: Until filled
* Date Posted: March 26, 2014

'''Job Description'''

We are seeking 1~2 highly motivated postdoctoral research associate to
join the Biomedical Natural Language Processing (BioNLP) group at
UMass Medical School and UMass Amherst. This position will primarily
be located at the UMass Medical School in Worcester, MA. The BioNLP
group is actively pursuing many exciting projects including:
information retrieval, information extraction, summarization, question
answering, data mining, and patient-centered research. A highly
productive candidate may transition to a faculty position.

'''Responsibilities'''

The successful candidates will help investigate new algorithms to
support our current research thrusts. This will require extensive
experience with data mining (DM) and natural language processing (NLP).

'''Qualifications'''

Candidates for this position should have a PhD in Computer Science or
related field and a significant research record including
publications in top conferences and journals in:

* Natural Language Processing
* Machine Learning
* Data Mining or Data Analysis

Proficiency in quantitative analytical methods and strong programming
skills (e.g., python, matlab, java, C/C++, weka, etc.), along with
extensive research experience in hands-on machine learning (ML) and
data mining (DM), is essential. Additional experience in
bioinformatics or figure search and analysis is desirable.

Successful applicants will join a vibrant collaborative research
environment, will work closely with clinical investigators and senior
personnel in the lab, and should have the ability to work effectively
both independently and as part of a multidisciplinary team. The
position will be for one year, renewable annually, starting Summer or Fall 2014.

'''How to Apply'''

Please apply by email to Prof. Hong Yu <hong.yu@umassmed.edu> and
include a brief letter of introduction, a CV including list of
publications in PDF format, and names and email addresses of 2-3 referees.

'''Background'''

Please see http://www.bio-nlp.org/postdoc-ad-2014.txt for more information.

Competitive Salary based on experience.

== 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), is headquartered in Princeton, NJ. 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.

Employment opportunities, postdoctoral positions, summer jobs

2015-01-09T20:35:04Z

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==Postdoc position in Cardiff (NLP, IR, machine learning)==
*Employer: Cardiff University
*Title: Postdoc
*Specialties (one or more): Natural language processing, information retrieval, machine learning, distributional models, relation extraction, commonsense resoning
*Location: Cardiff, UK
*Deadline: 3 February 2015
*Date posted: 9 January 2015
*Contact information: SchockaertS1@cardiff.ac.uk

'''Job Description'''

Applications are invited for a postdoctoral research associate post in the School of Computer Science & Informatics at Cardiff University. This is a full-time, fixed-term post for 30 months, starting on 1 May 2015 or as soon as possible thereafter.

The main aim of this project is to learn fine-grained semantic relations from large text corpora. Initially such relations will be obtained in an unsupervised way, by identifying semantic relations with spatial relations between vector-space representations. Subsequently, open-domain, supervised relation extraction methods will be developed which use the output of the unsupervised methods as training data. This research will be part of an ERC funded project on the use of semantic relations between natural language terms in logics for commonsense reasoning. You will work closely with Dr Steven Schockaert. You will possess a PhD in Computer Science or a closely related area, or have equivalent experience.

'''Essential criteria'''

*Proven ability to undertake research in a relevant research area (e.g. natural language processing, information retrieval, machine learning) at an international level, as evidenced by research output.
*Excellent programming skills (java or C/C++).
*A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, SIGIR, CIKM, IJCAI, AAAI, ICML) and journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, ACM Trans. Information Systems, IEEE Trans. Knowledge and Data Engineering).
*Proven ability to communicate specialist ideas clearly in English using written media.
*Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.
*A PhD in Computer Science or closely related area, or equivalent experience.

'''Desirable criteria'''

*Knowledge of statistical natural language processing.
*Knowledge of unsupervised and semi-supervised learning.
*Knowledge of relation extraction.
*Experience with analysing large text corpora using a high-performance computing environment.
*Experience with dimensionality reduction methods such as multi-dimensional scaling, singular-value decomposition, and non-negative matrix factorisation.

'''More information'''
For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 2972BR.

==Post‐Doctoral and all levels of Research Scientist at the Allen Institute for Artificial Intelligence==
*Employer: Allen Institute for Artificial Intelligence (AI2)
*Title: Post-doc/Research Scientist
*Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
*Location: Seattle, WA
*Deadline: N/A, we are hiring throughout 2015
*Date posted: 12/9/2014
*Contact information: ai2-info@allenai.org, allenai.org

'''Job Description'''

The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Post Docs and Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.

'''Position Summary'''

AI2 currently has projects in the following areas:
*Language and Vision
*Information extraction and semantic parsing
*Question answering
*Language and reasoning
*Machine learning and theory formation
*Semantic search
*Diagram understanding

AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting the research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.

'''Applicant'''

Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, or question answering and explanation. We look favorably upon extensive work experience demonstrating application of your research.

'''Application Process'''

All candidates are required to submit a resume, an expression of interest, and the names and contact information of at least 2 references (including email addresses) through our website: http://allenai.github.io/ai2website/jobs.html. We particularly welcome applications from women, people of color, members of the LGBT communities, and people with disabilities. Visa sponsorship is available.

==Internship and Full-time positions available in Natural Language Processing at Apple Inc. (Siri)==
* Employer: Apple Inc.
* Title: Language Understanding / Dialog Scientist
* Natural Language Processing, Machine Learning, Semantic Parsing, Dialog Systems.
* Location: Cupertino, CA
* Deadline: rolling
* Date Posted: December 2, 2014
* Thomas Kollar: tkollar@apple.com

'''Description''':
Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language understanding, big data, and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the language understanding and dialog team at Apple. The Siri team is looking for exceptionally skilled and creative scientists and engineers eager to get involved in hands-on work improving the Siri experience.

'''Key Qualifications'''
*Experience with semantic parsing, dialog modeling, information extraction, question answering, semantic web, syntactic parsing, machine translation, language modeling, sentiment analysis or speech processing.
*Experience with supervised, weakly-supervised and unsupervised machine learning algorithms.
*Exceptional analytical, troubleshooting and problem solving skills
*Ability to implement algorithms in Java and C++ in addition to performing experiments using scripting languages (Python, Perl, Ruby, bash).
*Strong software engineering skills
*Experience working with multilingual datasets
*Large scale data analysis experience using distributed clusters (e.g. Pig, Spark, GraphLab, GraphX, MapReduce) a plus

'''Description'''
You will be a part of a team that's responsible for a wide variety of natural language processing and spoken dialog systems research and development activities, including semantic parsing, dialog modeling, information extraction and question answering. Traditionally these conversational understanding applications have been focused on developing algorithms for a particular domain or language. Here at Siri, you will use large amounts of training data from Siri requests and the web to solve these problems across languages and domains. You are passionate about using your skills to implement and improve algorithms in order to create the phenomenal products. Because you'll be working closely with engineers from a number of other teams at Apple, you’ll need to be a team player who thrives in a fast paced environment.

'''Education'''
M.S. or PhD in Computer Science or related field

'''Additional Requirements'''
2+ years of experience in natural language processing, speech processing, machine learning, artificial intelligence or dialog systems is desired.

==Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering==
* Employer: The Ohio State University
* Title: Assistant/Associate/Full Professor
* Specialty: open, two positions in Data Analytics
* Location: Columbus, OH, USA
* Deadline: January 31, 2015 (Consideration starts November 2014)
* Date Posted: November 17, 2014
* Website: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi

The Computer Science and Engineering Department at the Ohio State University expects to fill multiple tenure-track positions and seeks applicants in all areas of computer science.

Particular emphasis will be placed on filling two open rank positions in conjunction with a broad university-wide research initiative on Data Analytics (https://discovery.osu.edu/focus-areas/data-analytics/collaborative.html), and a recently announced undergraduate program in Data Analytics (https://data-analytics.osu.edu). Areas of interest for these positions include (but are not limited to): data mining, big data management, cloud computing systems, data analytics; application of machine learning or data mining or data visualization to problems in network science (including social networks), health, and climate science.

The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.

Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.

To apply, please submit your application via the online database. The link can be found at: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.

Review of applications will begin in November 2014 and will continue until the positions are filled.

The Ohio State University is an Equal Opportunity/Affirmative Action Employer.

==Postdoctoral positions in NLP and text/data analytics at Mayo Clinic ==
* Employer: Mayo Clinic
* Title: Postdoctoral
* Specialty: many, see below
* Location:Rochester, MN, USA
* Deadline: December 25, 2014
* Date Posted: November 6, 2014
* Website: http://www.mayo.edu

Mayo Clinic Natural Language Processing (NLP) Program is currently seeking multiple talented postdoctoral candidates with research interest in NLP, text mining, or predictive analytics to join the program. The appointee will join a diverse team of researchers in Mayo Clinic NLP Program to research on information extraction (IE), information retrieval (IR), and predictive analytics techniques in the big data era for better information access and delivery, document processing, text mining, and advanced analytics in the clinical and biomedical domain.

Key requirements and selection criteria for the position include:
- PhD in Biomedical Informatics, Computer Science, Statistics, Bioinformatics, Computational Linguistics, Artificial Intelligence, or a related discipline
- Demonstrated expertise in some of the following areas: information retrieval, natural language processing, machine learning, data mining, human computer interaction in an IR setting, knowledge extraction and management

Other desirable skills and selection criteria include:
- Knowledge of big data techniques is plus.
- Demonstrated informatics expertise in some of the following areas: literature mining, clinical natural language processing, clinical terminology and ontology, clinical data warehouse and secondary use of EMR applications
- Good interpersonal and communication skills and a demonstrated commitment to working collaboratively inside NLP program and a strong interest and devotion in working with clinicians and biomedical researchers
- Familiar with Unstructured Information Management Architecture (UIMA) framework and programming skills in a variety of languages
- Demonstrated experience in machine learning and statistical techniques and/or experimental design and analysis for clinical and biomedical studies

Team: Mayo NLP program is a hybrid program which aims to conduct the state-of-the-art NLP research and translating NLP research into practical NLP algorithms to facilitate clinical research and practice. The program consists of seven postdoctoral NLP experts and a handful of NLP software engineers. The program plays a significant role in multiple institutional initiatives including i) NLP infrastructure enabled by Big Data, ii) applied informatics in delivering enhanced analytics to the practice, iii) practice analytics which aims to deliver systematic approaches for quality improvement and comparative effectiveness analysis, and iv) knowledge discovery and management which aims to discover and manage domain knowledge and translate it into executable applications in practice.

Terms: The position is available immediately. Mayo Clinic offers an attractive salary (commensurate with qualifications) and benefits package. Mayo Clinic is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women and minorities.

Application Process: Please email Dr Hongfang Liu with your (1) resume/CV, (2) letter of application/cover letter, and (3) contact information for three references including mailing address, e-mail address, and phone number.

Hongfang Liu, PhD (liu.hongfang@mayo.edu)
NLP Program Director
Associate Professor of Biomedical Informatics
Mayo Clinic, Rochester, MN

Mayo Clinic | Department of Health Sciences Research | Division of Biomedical Statistics & Informatics
200 First Street SW | Rochester, MN 55905 | 507-293-0057 (office)

==Faculty Position at UC Berkeley School of Information (Assistant, Associate, Full) ==
* Employer: UC Berkeley
* Title: Professor (Assistant, Associate, or Full)
* Specialty: many, see below
* Location: Berkeley, CA, USA
* Deadline: December 15, 2014
* Date Posted: October 10, 2014
* Website: http://www.ischool.berkeley.edu/about/ischooljobs/faculty-info-org

The UC Berkeley School of Information is seeking a tenured or tenure-track professor with expertise in information organization.
Candidates should have a demonstrated record of relevant research, with expertise in one or more of the following:

search and information retrieval
- automated content analysis, including
- applications to normalizing data and creating metadata, and/or applications to analyzing social science text, such as political text, or other information rich text such as - biomedical, legal, or marketing text;
- practical computational approaches for analyzing information in non-textual formats;
- conceptual modeling of information systems;
- computational approaches to cognition;
- semantic representation and annotation;
- vocabulary and metadata design;
- classification and standardization including policy considerations;
- category learning at scale;
- data wrangling.

A successful candidate will possess appropriate technical expertise and research excellence, and be committed to working on issues related to information and/or information system design and development in a multidisciplinary setting. Relevant professional or industry experience, including hands-on experience with large-scale collections, is also desirable.

Additionally, a successful candidate must be able to teach a course in the design, structure, and use of category systems, data architecture and design for information systems, metadata creation and normalization, and data interchange formats and standards. Additional instructional topics that are desired but not required are database design, natural language processing, and information retrieval and ranking.

Applications are due December 15, 2014.

For more details, see the full job description at: http://www.ischool.berkeley.edu/about/ischooljobs/faculty-info-org

==Post-doctoral position at McMaster University, Canada ==
* Employer: McMaster University
* Title: Postdoctoral Fellow
* Specialty: natural language processing, sentiment analysis, computational linguistics.
* Location: Hamilton, Ontario, Canada
* Deadline: December 20, 2014
* Date Posted: October 23, 2014
* Website: http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf

Applications are solicited for a postdoctoral fellowship in the Cognitive Science of Language graduate program at McMaster University for the topic of developing psychologically grounded tools for sentiment analysis. Applicants would have their primary affiliation and work location in the Department of Linguistics and Languages at McMaster University, and will be working closely with a vibrant cross-faculty team of linguists, psychologists and computer scientists. The selected candidate will contribute to a research program that explores individual and group (gender, age) variability in perception and regulation of emotion. You will be expected to participate in a research program that explores individual and group (gender, age) variability in perception and regulation of emotion.

Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data, including social media. Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data. Equally important to the project is the development of lexical-semantic tools allowing big data analyses of text corpora for the purposes of text classification, topic modeling, development of semantic networks, and estimation of semantic similarity.

Please see the following web page for further details and the application procedure:
http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf

== Post-doc in Bio-NLP Social Media Mining for Adverse Drug Reactions ==
* Employer: University of Liverpool
* Title: Postdoctoral Research Associate
* Specialty: Bio-NLP, Natural Language Processing, Social Media Mining, Web Mining
* Location: Liverpool, United Kingdom
* Deadline: November 14, 2014 17:00 GMT
* Date Posted: October 23, 2014

You will work on the IMI project, WEB-RADR. This is a highly innovative project involving collaboration across the EU and with researchers in the USA which will evaluate the use of social media in identifying adverse reactions to drugs. You will be working between two Faculties (Science & Engineering, and Health & Life Sciences) and the project will be inherently inter-disciplinary. Practical experience of software development, and good knowledge of Bio-NLP tasks such as NER, text classification, and social media analysis are essential to the role. You should have a PhD Level in NLP, Data/Web/Text Mining, or Machine Learning. The post is available until 31 August 2017.

Please see the following web page for further details including job specifications and application form.
http://www.liv.ac.uk/working/jobvacancies/currentvacancies/research/r-586752/

==Tenure-track Faculty Position at University of Michigan School of Information==
* Employer: University of Michigan
* Title: Assistant Professor
* Specialty: Information Analysis and Retrieval
* Location: Ann Arbor, Michigan, USA
* Deadline: November 15, 2014 preferred
* Date Posted: October 22, 2014

https://www.si.umich.edu/prospective-faculty/position-call-information-analysis-retrieval

The School of Information at the University of Michigan (UMSI) seeks a tenure-track professor at the assistant professor level in the areas of information analysis, information retrieval, or “big data.” While we encourage applications from all areas of information analysis and retrieval, we are particularly interested in candidates with strong interest and expertise in creating novel techniques for mining large-scale text, behaviors, and scientific data and in developing visualizations or other interactive tools for data analysis. Applications of particular interest include, but are not limited to, scientific and health data analysis, text analysis, social media analysis and digital humanities.

The mission of the School of Information is to create and share knowledge to help people use information -- with technology -- to build a better world. A successful candidate will be committed to, and will directly contribute to our goal of being the best research and teaching institution for the understanding and design of information and its technologies in service of people and society.

The School is home to vibrant research and teaching programs, with 36 FTE professors, and over 400 students. We offer a Ph.D., a Master of Science in Information, a Master of Health Informatics (joint with the School of Public Health), and a Bachelor of Science in Information.

Founded in 1817, the University of Michigan has a long and distinguished history as one of the first public universities in the nation. It is one of only two public institutions consistently ranked among the nation's top universities. The University has one of the largest health care complexes in the world and one of the best library systems in the United States. With more than $1 billion in research expenditures annually, the University has the second largest research expenditure among all universities in the nation. The University has an annual general fund budget of more than $1.7 billion and an endowment valued at more than $7.6 billion.

Qualifications:
* Ph.D. in an area such as computer science, information science, statistics, informatics, computational linguistics, or related fields concerned with information analysis and retrieval
* Demonstrated potential and strong commitment to successful teaching at the undergraduate and graduate level
* Demonstrated potential for high scholarly impact
* A strong commitment to connecting information, technology, and people that values interdisciplinary research, and cultural diversity

Review of applications will begin on November 15, 2014 and will continue until the position is filled. For questions about potential fit and your application please contact Dr. Qiaozhu Mei (qmei@umich.edu).

Application materials required: cover letter, curriculum vitae (CV), research statement, teaching statement, three representative publications, and contact information for three references. For more information or to apply, please visit http://apply.interfolio.com/27182.

In addition to this position, the UMSI is also looking for applicants in the area of human-computer interaction, communication and technology, and health informatics.

==Asst/Assc/Full Professor, Ames, Iowa==
* Employer: Iowa State University
* Title: Assistant, Associate, or Full Professor
* Specialty: Natural Language Processing
* Location: Ames, Iowa, USA
* Deadline: December 3, 2014
* Date Posted: October 21, 2014

Iowa State University has launched the Presidential High Impact Hires Initiative to support targeted faculty hiring in areas of strategic importance. As part of the initiative, the Department of English and the College of Liberal Arts and Sciences invite applications for an Assistant, Associate, or Full Professor in natural language processing with an emphasis in educational applications, particularly analysis of students’ linguistic production. At the undergraduate level, the selected faculty will teach basic courses in English and Linguistics, and at the graduate level, courses in Applied Linguistics and Technology and in Human-Computer Interaction. Potential graduate course content includes programming for NLP, computational analysis of English, statistical analysis of language, discourse analysis, second language acquisition, sentiment analysis, language-based analytics, speech-driven user interfaces or automated content analysis, according to specialty. Research areas of particular interest are pedagogical applications of natural language processing, assessment of learners’ developing language ability, second language acquisition, statistical approaches to the study of language, and the analysis of discipline-specific language. The position begins August 2015.

The Applied Linguistics and Technology and the Human-Computer Interaction programs attract forward-looking students, who create an exciting intellectual environment. The programs are part of the Department of English, which offers BA degree programs in English, Literature, Rhetorical Studies, and Speech Communication; a BS degree in Technical Communication; as well as—in partnership with the Department of World Languages and Cultures—a minor in World Film Studies. On the graduate level, the department offers MA degrees in Literature; Rhetoric, Composition, and Professional Communication; TESL/Applied Linguistics; as well as an MFA program in Creative Writing and the Environment. The department also offers two PhD programs in Applied Linguistics and Technology and Rhetoric and Professional Communication. The Department of English is committed to diversity among faculty, staff and students who can enrich University objectives in the areas of research, teaching, and service. For more information, see http://www.engl.iastate.edu/.

Iowa State University is classified as a Carnegie Foundation Doctoral/Research University-Extensive, a member of the Association of American Universities (AAU), and ranked by U.S. News and World Report as one of the top public universities in the nation. Over 34,000 students are enrolled, and served by over 6,100 faculty and staff (see www.iastate.edu). Ames, Iowa is a progressive community of 60,000, located approximately 30 minutes north of Des Moines, and recently voted second best most livable small city in the nation (see www.amescvb.com).

Iowa State University is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women, underrepresented minorities, and veterans. ISU is responsive to the needs of dual career couples, is dedicated to work-life balance through an array of policies, and is an NSF ADVANCE institution.

All faculty members are expected to exhibit and convey good citizenship within the program, the department, college, and university activities and collegial interactions, and maintain the highest standards of integrity and ethical behavior.

A PhD by time of appointment in computational linguistics, natural language processing, or related field for all ranks. Assistant Professor, tenure-track- The potential for excellence in research and effectiveness in teaching; Associate Professor – A demonstrated record of accomplishments in scholarship, including an outstanding publication record, demonstrated ability to obtain research funding and effectiveness in teaching; Full Professor – A demonstrated record of intellectual leadership through high-impact scholarship, including an outstanding publication record, program of funded research and effectiveness in teaching. Language teaching experience and language assessment experience preferred.

Please apply for this position through the Iowa State University website at www.iastatejobs.com (Posting #400050) or by visiting http://www.iastatejobs.com/postings/7815 and click on "Apply to this Job". Please be prepared to enter or attach the following: a letter of application/cover letter, curriculum vitae, statement of teaching/research interests, transcript or list of graduate courses taken, and contact information for three references. Priority consideration will be given to applications received by December 3, 2014.

Iowa State University is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, genetic information, national origin, marital status, disability, or protected veteran status, and will not be discriminated against. Inquiries can be directed to the Director of Equal Opportunity, 3350 Beardshear Hall, (515) 294-7612.

==Computational Linguist, Wrocław, Poland==
* Employer: Wrocław University of Technology
* Title: Computational Linguist
* Specialty: Natural Language Engineering, Computational Linguistics
* Location: Wrocław, Poland/other
* Deadline: until filled
* Date Posted: October 15, 2014

'''Team'''

The academic group G4.19 brings together those interested in linguistics, computational linguistics, and natural language engineering. The Group develops and implements tools for natural language processing. The main focus is on the development of basic tools and language resources for Polish. The Group participates in a number of research projects, among others it coordinates the CLARIN-PL project: http://www.clarin-pl.eu.

'''Job description'''
* designing algorithms for the analysis of natural language texts, based on the combination of linguistic knowledge and methods of artificial intelligence (including machine learning, rule-based methods and methods of statistical analysis),
* developing computer systems related to natural language processing and coordinating the work of small teams of programmers (conducting test and research experiments),
* active participation in the ongoing research projects (planning and realisation of experiments , data processing, realisation of dedicated research tasks of varying complexity),
* active participation in preparing applications for new research grants,
* active participation in writing research papers.

'''Requirements'''
* enthusiastic approach to research and development of language technology for Polish,
* good knowledge of at least one of the languages: C ++, Python or Java,
* very welcome good knowledge of Polish,
* knowledge of English sufficient for reading scientific publications and technical documentation,
* welcome knowledge of Linux, Git, UML,
* the preferred candidates should hold PhD degree in computer science, but we do not exclude candidates holding PhD degree in a different field or those at the advanced stage of work on their PhD.

'''We offer'''
* participation in large research projects at national and international level,
* good basis for a scientific career and an opportunity of writing a dissertation,
* for PhD students: possibility of employment on a research assistant post,
* choice of form of employment (contract or other),
* attractive salary (in terms of market, not university wages),
* interesting job in a dynamic team,
* flexible working hours,
* flexible working time.

If interested, please send your CV and list of publications to: clarin-pl@pwr.edu.pl

The application must include a statement: "I hereby agree for processing my personal data for the purpose of the recruitment process (in accordance with Personal Data Protection Act dated 29.08.1997, Journal of Laws of the Republic of Poland No. 133, item 883)."

We kindly inform you that we will contact selected candidates only.

==Language Processing, Edinburgh, Scotland==
* Employer: Daxtra Technologies (http://www.daxtra.com)
* Title: Research Application Developer
* Specialty: Natural Language Processing
* Location: Musselburgh, nr Edinburgh, Scotland
* Deadline: until filled
* Date Posted: October 10, 2014

'''Job Description:'''

Daxtra Technologies are looking for people with a background in applied language/text processing to join the R&D team in Edinburgh. Daxtra (a spin-out from the University of Edinburgh) is the leading provider of Natural Language Processing techniques

You will be involved in multilingual grammar engineering, development of statistical text classifiers and search/retrieval components. Apart from a strong background in text processing you will need to demonstrate good experience in computer programming.

'''Location:'''

Daxtra Technologies headquarters in Musselburgh, nr Edinburgh, Scotland

'''How to Apply:'''

For further details or to send us your CV/resume, please contact a.nazarov@daxtra.com

==Computational Linguists==
* Employer: The Lingua Team
* Title: Computational Linguist
* Specialty: Natural Language Processing
* Location: Seattle or remotely
* Deadline: ASAP
* Date Posted: September 22, 2014

'''Description:'''
We are looking for several candidates (one for each of the languages advertised) with an advanced degree in Linguistics, or with Computational linguist background. The projects involve morphology tagging and/or linguistic analysis, but they can be done remotely. Languages: French, German, Spanish, US English, Japanese, Brazilian Portuguese, Finnish, or Polish. Please, provide a resume with your email application.

'''Qualifications:'''
* Computational Linguistics and/or advanced Linguistics degree
* Experience drafting grammars or adapting an existing grammar to a second language
* Programming experience desirable
* Full understanding of inflectional and derivational morphology, POS, lemmatization, etc.

'''Location:'''
Seattle, WA or remote

'''How to Apply:'''
Send your resume to info@thelinguateam.com

== Visiting Student Position in Spoken Language Understanding (NLP+Speech+ML) / TTI-Chicago / Chicago, IL ==

* Employer: Toyota Technological Institute at Chicago
* Title: Visiting student researcher
* Specialty: Machine learning, NLP, speech
* Location: Chicago, IL, United States, 60637
* Deadline: Until filled
* Date Posted: Sept 10, 2014

'''Job Description'''

Applications are sought for a paid visiting student position as part of a broad interdisciplinary project on spoken language understanding involving natural language processing, speech processing, and machine learning. The visiting student will work primarily with TTI-Chicago faculty Mohit Bansal (http://ttic.edu/bansal), Karen Livescu (http://ttic.edu/livescu), and Kevin Gimpel (http://ttic.edu/gimpel), and will also have opportunities to collaborate with other TTIC and University of Chicago faculty/researchers as relevant.

The position will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, speech and language processing, and computer vision. The duration of the position is flexible (6 to 18 months).

The target start date is Fall or Winter 2014. Compensation includes stipend and tuition (if applicable). The position will remain open until filled.

'''Responsibilities'''

The broad goal of the work is to advance text-based NLP tasks (e.g., syntactic parsing) via speech cues, using and developing deep learning and multi-view learning techniques. The specific focus of the student’s project will be determined by mutual agreement based on the student's background and interests.

'''Qualifications'''

Applicants are expected to have strong qualifications in machine learning (preferably deep or multi-view learning), and ideally also natural language processing (preferably syntactic parsing) or speech processing. Applicants should have a Bachelor’s degree in a related field, preferably pursuing a MS/PhD degree. There are no citizenship requirements for this position.

'''How to Apply'''

Please direct questions and interest in the position to slu-job@ttic.edu. Complete applications should be sent to the same address and consist of:

* brief cover letter, describing your interest in and qualifications for the position
* curriculum vitae including publication list
* two or more letters of reference (preferably directly emailed to slu-job@ttic.edu, or contacts who can supply letters on request)

Please see http://ttic.edu/bansal/slu-job.html for more information.

== NLP-Speech Data Scientist / Civis Analytics / Chicago, IL, USA ==

* Employer: Civis Analytics
* Title: Data Scientist
* Specialty: Natural Language Processing / Speech Processing / Machine Learning
* Location: Chicago, Illinois, USA
* Deadline: Rolling
* Date Posted: July 7, 2014

'''Who We Are:'''

Our Company is a Chicago-based Big Data analytics firm born in a large windowless back room of President Obama’s 2012 re-election campaign. We called it “The Cave.”

Beginning with the campaign, our mission as a team has been clear: help great organizations use their Big Data to solve their biggest problems. We are now applying our analytical expertise, specialized software, and innovative technological approach to help companies, non-profits, and campaigns leverage their data to develop smarter strategies, make better decisions, and build stronger, data-driven organizations. In the year since our company’s founding, we have helped solve problems as diverse as enrolling individuals for health insurance, optimizing TV ad purchases to reach more targets, and pinpointing individuals who want to sign up for a clean energy utility company.

We are not a group of spreadsheet management consultants; we are an inventive team of the best statisticians, scientists, engineers, and technologists in our fields building things that have never been built before. And we’re looking to add to our team.

We are already solving some of the world’s most demanding and complex problems with Big Data – working with organizations to analyze and understand their individual level intelligence to improve outcomes and implement organizational change. We work on teams with diverse skill sets to apply and invent new data science techniques, putting us at the forefront of innovation in our field as we solve problems that have never been solved before.

We are smart, fun, and a little bit weird. Does this sound like you?

'''Job Description:'''

The Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company. Our diverse work includes predictive analytics, algorithm development, experimental design, visualization, and survey research. As a Data Scientist on our Chicago-based Research and Development team, you will work closely and collaboratively with analysts and engineers to develop and operationalize the techniques that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas.

With a specialization in unstructured data, this Data Scientist role will apply techniques from fields such as machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets being collected at Civis. Because the majority of the world’s information is unstructured, being able to leverage these diverse and voluminous data sources adds tremendous value to Civis products and research. In this role, you will be a critical voice shaping both how unstructured data informs existing Civis products and services, and how it leads to the development of entirely new ways of serving our clients, novel to the industry as a whole.

We are looking for individuals from a diversity of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work, and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.

'''Minimum Qualifications:'''

* Master’s degree in a quantitative field, such as computer science, statistics, machine learning, or electrical engineering, or a Bachelor’s degree and outstanding work experience
* Knowledge of and practical experience in applying the methodology of one or more unstructured data analysis fields, such as natural language processing, speech processing, or computer vision.
* Familiarity with statistical packages such as R, Stata, or in the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
* Experience with common toolkits for unstructured data analysis, such as Theano, Torch, open-cv, the Stanford NLP tools, HTK, and Kaldi
* Experience with SQL databases
* Strong programming skills
* Experience identifying and correcting for problems in imperfect data
* An ability and eagerness to constantly learn and teach others

'''Preferred Qualifications:'''
* PhD in a quantitative field such as computer science, statistics, machine learning, or electrical engineering
* Ability to expand upon modern statistical learning methods
* Significant work experience in applying the methodology of one or more unstructured data analysis fields
* High proficiency in programming with Python, Go, Java, Lua, C, or other languages used for high-performance statistical computing
* Familiarity with architectures for scaling statistical computing to big data applications, such as Hadoop and Spark
* Theoretical understanding sufficient to independently implement complex neural network architectures

'''Location:'''

This posting is for a position in Civis’ Chicago headquarters.

'''Dates:'''

We are hiring for multiple positions and will evaluate candidates as applications are received.

'''How to Apply:'''

Applications may be submitted at http://www.civisanalytics.com/apply/entry/data-scientist-chicago-il.
Specific inquiries may be directed to Derrick Higgins: [mailto:dhiggins@civisanalytics.com dhiggins@civisanalytics.com].

== Postdoc in Natural Language Processing / Aix-Marseille University / Marseille, France ==

* Employer: Aix-Marseille University
* Title: Postdoc
* Specialty: Natural Language Processing
* Location: Luminy, Marseille, France
* Deadline: July 1st, 2014
* Date Posted: June 12, 2014

'''Job Description:'''

We are looking for an outstanding research scientist to join the "SENSEI" european project (http://www.sensei-conversation.eu/). You
will contribute to conversation analysis summarization research to
allow the exploitation of large quantity of comments in social
media and spoken conversations.

You will contribute to the design and development of speech and text
summarization technologies for conversational data such as social
media comments and tweets. There will be three components to the
system: linguistic analysis of the conversations, content selection
and aggregation, and generation of the summaries (text or other
media). The approach is expected to make use of recent machine
learning advances such as deep learning, and focus on limiting the
quantity of supervision needed. The prototype will be evaluated by
end-user professionals in ecological conditions.

'''Qualifications:'''

The applicant must hold a PhD degree, preferably in the field of
natural language processing or machine learning. He/she should:
* Be proficient in one of Java / C++ programming and python or php scripting
* Have experience with developing efficient NLP / machine learning systems.
* Be keen on researching the literature and writing papers
* Enjoy team work and be autonomous

'''Location:'''

You will work at the LIF computer science lab at Aix-Marseille
University in France, at the Luminy campus next to the
calanques.

'''Dates:'''

Interviews will be held in July 2014, the Postdoc will start in
september / october 2014 and last one year.

'''How to Apply:'''

Enquiries and applications should be sent to Benoit Favre: benoit.favre@lif.univ-mrs.fr

== Executive Director / CLARIN ERIC / Utrecht University, the Netherlands ==

* Employer: CLARIN ERIC through Utrecht University
* Title: Executive Director
* Specialty: Research Infrastructures
* Location: Utrecht University, the Netherlands
* Deadline: August 15, 2014
* Date Posted: June 10, 2014

'''Job Description:'''

CLARIN is one of the two big humanities pan-European research infrastructures on the ESFRI roadmap with global ambitions, expected to expand rapidly in the near future. It currently has about 25 centres in 10 countries and the number is growing. At the same time CLARIN is participating actively in several emerging global data infrastructure initiatives (e.g. RDA, EUDAT). In addition it is actively pursuing its collaboration with other international humanities research infrastructures such as DARIAH.

As our current Executive Director is retiring, CLARIN is looking for an inspiring person to continue this successful enterprise and lead it to the next level.

The main challenges the new executive director needs to lead on in the next years are: the expansion and the sustainability of CLARIN, to balance the central and distributed activities, increase outreach to new user communities, new collaboration partners and new continents, and to promote collaboration with commercial partners.

'''Responsibilities:'''

* Leading the Board of Directors of the CLARIN ERIC
* Building on prior work, drafting strategy, work programme, budget and staff plan for CLARIN
* Planning the technical development together with the Technical Director, overseeing the implementation and operation of the distributed infrastructure and coordinating centre cooperation
* Ensuring the long-term sustainability of CLARIN and guiding its European and global expansion
* Building strong pan-European and international relationships with a broad range of stakeholders within and outside the consortium. This includes CLARIN members, the relevant ministries and funding bodies, external language resource providers, the EU, and international bodies, including research infrastructures on the European Strategy Forum on Research Infrastructures (ESFRI) Roadmaps as well as other research infrastructures
* Leading the international fundraising efforts for CLARIN
* Monitoring and measuring CLARIN’s activities and reporting to General Assembly
* Specifically, monitoring the adherence of the national consortia to the operational rules and standards for CLARIN-related operations, and developing recommendations for counter-measures for any irregularities
* Ensuring that CLARIN’s services comply with appropriate ethical, legal and societal norms and principles
* Planning, organizing, and managing the main office in Utrecht, which includes recruitment
* Facilitating and supporting the operation of CLARIN’s governance bodies

'''Qualifications:'''

* A higher university degree or equivalent qualifications and an international interdisciplinary network
* Relevant experience in the European Research Area, international arena, as well as in European level funding mechanisms and understanding of the ESFRI process
* An understanding of current and emerging agendas and challenges in data management and curation in the humanities domain
* Excellent communicative skills
* A proven fundraising record
* A record of relevant academic excellence
* The ability to understand organisational and technical issues involved in building, maintaining, and federating digital repositories, catalogues, authentication services, and similar infrastructure components based on modern information technologies

'''How to Apply'''

For more information, please visit http://www.clarin.eu/news/vacancy-advertisement-executive-director

== Research Scientist in Natural Language Technologies / Bosch Research & Technology Center / Palo Alto, California ==

* Employer: Bosch Research & Technology Center
* Title: Research Scientist in Natural Language Technologies (PhD)
* Specialty: Natural Language Processing
* Location: Palo Alto, California, United States, 94304
* Deadline: Until filled
* Date Posted: May 19, 2014

'''Job Description:'''

The Language Interaction and Knowledge Engineering group of Bosch Research in Palo Alto, CA is responsible for shaping the future user experience of Bosch products by creating cutting-edge technologies. We collaborate closely with leading universities on solutions to hard challenges in speech, language, knowledge topics to enable natural, intuitive and intelligent communication between humans and computers. We work with internal partners to transfer our ideas and solutions into future products. Over the years, we have already developed innovative world-leading technologies in the areas of human machine interaction (HMI) systems.

To strengthen the Language Interaction and Knowledge Engineering team in our Palo Alto office we are seeking enthusiastic and creative researcher with a strong desire to drive technology development in this area.

'''Responsibilities:'''

* Develop large-scale natural language technologies and components, and improve the state-of-the-art HMI system performance with various methods
* Together with a team of experts, adapt and integrate language processing components into Bosch HMI system for different business areas
* Communicate with business departments about the technology potentials as well as identify potential areas of business values.

'''Qualifications:'''

* Ph.D. in Computer Science or related fields
* Strong research background in natural language technology development and applications, text mining, machine learning, and statistics
* Hands-on experience with natural language processing, text mining and machine learning algorithm implementation
* Strong skills in coding (C/C++ or Java), algorithms and system design
* Very good communication skill together with good quality publication
* Experience in text summarization research and development is a plus
* Experience in large system development and speech technology is a plus

'''How to Apply'''

For more information, and to apply online, please visit http://bit.ly/1k8UZ57

== Post-doc in Machine Learning, Computer Vision, Language Processing applied to Sign Language Analysis / TTI-Chicago / Chicago, IL ==

* Employer: Toyota Technological Institute at Chicago
* Title: Post-doctoral scholar
* Specialty: Machine learning, NLP, computer vision, speech
* Location: Chicago, IL, United States, 60637
* Deadline: Until filled
* Date Posted: May 12, 2014

'''Job Description'''

Applications are sought for a post-doctoral position as part of a project on automatic sign language analysis and recognition. The post-doc will work primarily with TTI-Chicago (TTIC) faculty Greg Shakhnarovich and Karen Livescu. The work is part of a broad interdisciplinary project including both recognition and linguistics of American Sign Language (ASL), in collaboration with U. Chicago linguistics faculty Diane Brentari and Jason Riggle. The post-doc will also have opportunities to collaborate with other TTIC and the University of Chicago researchers as relevant, and should be able to interact with colleagues in a broad range of disciplines.

The post-doc will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, computer vision, and speech and language processing. The position is for 2 years, contingent on annual reappointment.

The target start date is Fall 2014, with some flexibility. Compensation includes a competitive salary and benefits plan. The position will remain open until filled.

'''Responsibilities'''

The goal of the work is to advance automatic recognition and analysis of American Sign Language (ASL), in part through development of core methods for learning and vision. The specific focus of the post-doc's research will be determined by mutual agreement based on the post-doc's background and interests, and may include any of: new graphical models and learning techniques; articulated hand pose tracking and estimation constrained by the grammar of sign; domain adaptation/normalization for different subjects and signing styles; techniques inspired by speech recognition and NLP; and work with new data sources beyond video, including depth sensors (e.g. Kinect) and motion capture. Prior knowledge of and interest in ASL is preferred.

Advising and teaching opportunities are likely to be available if desired, but this is not a requirement of the position.

'''Qualifications'''

Applicants are expected to have strong qualifications in machine learning or related fields, and ideally also computer vision and/or speech and language processing. Applicants should have a PhD or expected PhD (by the end of 2014) in computer science, electrical engineering, statistics, or a related field. There are no citizenship requirements.

'''How to Apply'''

Please direct questions and interest in the position to ASL-postdoc@ttic.edu. Complete applications should be sent to the same address and consist of:

* brief cover letter, describing your interest in and qualifications for the position
* curriculum vitae including publication list
* contact information for two or more researchers who can provide letters of reference

Please see http://ttic.edu/livescu/ASL-postdoc.html for more information.

== Postdoctoral Fellow / INRIA / Saclay ==
* Employer: Institut National de Recherche dans l'informatique et l'Automatisme (INRIA)
* Title: PostDoc (12 months)
* Specialty: Natural Language Processing
* Location: Palaiseau, Ile-de-France, France
* Deadline: June 30, 2014
* Date Posted: May 6, 2014

'''Job Description'''

The principal mission of the postdoctoral candidate is to find new ways of inducing taxonomies and semantic dimensions from user generated and user captured personal data, integrating textual, quantified, geolocalized, image, sound and video data. The postdoc will also assist the TRACES team in developing algorithms and technology for creating a platform for private, personal information management.

'''Duties'''

Reporting to the Dr. Gregory Grefenstette, your
typical duties will include the following:

* Implement recent taxonomy/ontology induction algorithms, adapting them to the problem of personal information, applying them to personal data contributed by TRACES team members, evaluating results, and present their results in an international conference or workshop;
* Aid TRACES members in the construction of a private personal information platform based on open source information retrieval systems (Lucene/SolR);
* Discover and adapt existing open data taxonomies to the platform;
* Study how GPS information and other quantified personal data can be integrated into and augment the personal semantic structures induced from textual sources

'''Required Qualifications'''

The candidate must possess a recent PhD degree (granted 2013 or 2014) in computer
science, computational linguistics or a related discipline.
* Experience with natural language processing (e.g., Stanford Parser)
* Experience with ontologies/taxonomies (e.g., MeSH, FreeBase)
* Experience with classification algorithms
* Familiarity with dealing with large, noisy data sets
* Experience with web crawler, information retrieval systems (e.g., Lucene/Solr/ElasticSearch)
* Desire to produce functioning end-to-end systems, life-scale live demos
* Scientific rigour
* Imagination

'''How to Apply'''

Follow the instructions on the page: http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014/(view)/details.html?ContractType=4546&LG=EN&nPostingID=8473&nPostingTargetID=14242

Security and Defense procedure: In the interests of protecting its scientific and technological assets, Inria is a restricted-access establishment. Consequently, it observes special regulations for welcoming foreign visitors from outside of the Schengen area. The final acceptance of each candidate thus depends on applying this security and defense procedure.

'''About Us'''

Public science and technology institution established in 1967, Inria is is the only public research body fully dedicated to computational sciences. Combining computer sciences with mathematics, Inria's 3,400 researchers strive to invent the digital technologies of the future. Educated at leading international universities, they creatively integrate basic research with applied research and dedicate themselves to solving real problems, collaborating with the main players in public and private research in France and abroad and transferring the fruits of their work to innovative companies. The researchers at Inria published over 4,800 articles in 2010. They are behind over 270 active patents and 105 start-ups. In 2010, Inria's budget came to 252.5 million euros, 26% of which represented its own resources..

For more information, please visit http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014

== Postdoctoral Fellow / Bioinformatics Technology Lab / Genome Sciences Centre ==
* Employer: University of British Columbia and BC Cancer Agency
* Title: PostDoc
* Specialty: Natural Language Processing, Machine Learning
* Location: Vancouver, British Columbia, Canada
* Deadline: Until filled
* Date Posted: March 26, 2014

'''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 natural language processing and 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 natural language processing and machine learning tools for automated literature survey
* Analysis and annotation of data from genomics studies as they relate to the literature
* 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

'''Required Qualifications'''

The ideal candidate should possess a PhD degree and recent proven experience in computer
science, electrical engineering or a related discipline. A strong publication record in
the field, and demonstrated technical writing skills are highly desirable. Prior research
experience in bioinformatics is also desirable, but not required.

More experienced candidates will be considered for a Staff Scientist position, pending
successful funding.

'''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 14-03-27") 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

== PostDoc / NLP, Machine Learning, Medical Informatics / Worcester MA ==
* Employer: University of Massachusetts Medical School
* Title: PostDoc
* Specialty: Natural Language Processing, Machine Learning
* Location: Worcester, Massachusetts, United States, 01605
* Deadline: Until filled
* Date Posted: March 26, 2014

'''Job Description'''

We are seeking 1~2 highly motivated postdoctoral research associate to
join the Biomedical Natural Language Processing (BioNLP) group at
UMass Medical School and UMass Amherst. This position will primarily
be located at the UMass Medical School in Worcester, MA. The BioNLP
group is actively pursuing many exciting projects including:
information retrieval, information extraction, summarization, question
answering, data mining, and patient-centered research. A highly
productive candidate may transition to a faculty position.

'''Responsibilities'''

The successful candidates will help investigate new algorithms to
support our current research thrusts. This will require extensive
experience with data mining (DM) and natural language processing (NLP).

'''Qualifications'''

Candidates for this position should have a PhD in Computer Science or
related field and a significant research record including
publications in top conferences and journals in:

* Natural Language Processing
* Machine Learning
* Data Mining or Data Analysis

Proficiency in quantitative analytical methods and strong programming
skills (e.g., python, matlab, java, C/C++, weka, etc.), along with
extensive research experience in hands-on machine learning (ML) and
data mining (DM), is essential. Additional experience in
bioinformatics or figure search and analysis is desirable.

Successful applicants will join a vibrant collaborative research
environment, will work closely with clinical investigators and senior
personnel in the lab, and should have the ability to work effectively
both independently and as part of a multidisciplinary team. The
position will be for one year, renewable annually, starting Summer or Fall 2014.

'''How to Apply'''

Please apply by email to Prof. Hong Yu <hong.yu@umassmed.edu> and
include a brief letter of introduction, a CV including list of
publications in PDF format, and names and email addresses of 2-3 referees.

'''Background'''

Please see http://www.bio-nlp.org/postdoc-ad-2014.txt for more information.

Competitive Salary based on experience.

== 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), is headquartered in Princeton, NJ. 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.