ACL Wiki - User contributions [en]

Employment opportunities, postdoctoral positions, summer jobs

2020-03-05T22:24:38Z

Aolney: added UoM postdoc post

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== 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

== Postdoctoral Researcher in NLP, School of Informatics, University of Edinburgh ==
* Employer: University of Edinburgh
* Title: Form-Independent Semantics for Natural Language Understanding
* Specialty: NLP
* Location: Edinburgh, United Kingdom
* Deadline: 14th January 2020 at 5pm GMT
* Date posted: 21st December 2019
* Contact: Prof. Mark Steedman [mailto:steedman@inf.ed.ac.uk steedman@inf.ed.ac.uk]

The position is to collaborate on research in question-answering using entailment graphs built by machine-reading and deep learning in Mark Steedman's lab in the Institute for Language, Cognition, and Computation (ILCC) at Edinburgh.

Details and application forms at: https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=050766

== PhD Position in Neural NLG, Nancy, France as part of the EU Funded NL4XAI Innovative Training Network ==
* Employer: CNRS
* Title: Explainable Models for Natural Language Generation
* Specialty: NLP, AI, Deep Learning
* Location: Nancy, France
* Deadline: February 14, 2020, at 23h59 CET (UCT + 01:00)
* Date posted: December 17, 2019
* Contact: [mailto:claire.gardent@loria.fr claire.gardent@loria.fr]

Estimated Starting Date: April 1, 2020

For more information, see https://members.loria.fr/CGardent/explainable-nlg.pdf

The EU funded NL4XAI Innovative Training Network is looking to employ a

Research Associate / PhD Candidate
in Deep Learning and Natural Language Generation

The researcher will work under the supervision of Claire Gardent (https://members.loria.fr/CGardent/) at CNRS/LORIA/Lorraine University, Nancy (France) and be co-supervised by Albert Gatt (University of Malta); he or she will be expected to enrol for a PhD at Lorraine University (Nancy, France). Both Claire Gardent and Albert Gatt are leading experts on NLG. The researcher will be part of the Lorraine computer science research unit (LORIA) at Nancy, and work alongside other students and researchers who work on models for NLG. S/he will also benefit from the wider training and research network provided by the European NL4XAI Innovative Training Network (https://nl4xai.eu/).

During the course of the project, the researcher will carry out two 3 months-secondments to the University of Malta (with Albert Gatt) and one 3-months secondment to Orange in Lanion, France (with Lina Rohas-Barahona).

Claire Gardent has just been awarded an AI chair which focuses on multilingual and multisource NLG and will fund an additional 3 PhD students and an engineer over a period of 4 years (2020-2024). She also participates in the ANR Quantum Project on Question Generation (2019 – 2023) and heads the CNRS Research Network on Computational, Formal and Field Linguistics (2019 - 2023).

This is a great opportunity to join a leading NLG research group and work with top researchers to develop innovative techniques for NLG and explainable AI!

The NL4XAI project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860621.

== 11 Early Stage Artificial Intelligence Research Positions available in NL4XAI project (H2020-MSCA-ITN) ==
* Employer: EU Funded NL4XAI Innovative Training Network
* Title: 11 Early Stage Artificial Intelligence Research Positions available in NL4XAI project (H2020-MSCA-ITN)
* Specialty: NLP, AI
* Location: Europe
* Deadline: February 14, 2020, at 23h59 CET (UCT + 01:00)
* Date posted: December 17, 2019
* Contact: [mailto:josemaria.alonso.moral@USC.ES josemaria.alonso.moral@USC.ES]

Estimated Starting Date: April 1, 2020

Eleven PhD positions are offered within the framework of NL4XAI: Interactive Natural Language Technology for Explainable Artificial Intelligence, a project funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 860621.

NL4XAI is a European Training Network (ETN) project, which will train 11 creative, entrepreneurial and innovative early-stage researchers (ESRs), who will face the challenge of making Artificial Intelligence (AI) self-explanatory and thus contribute to translating knowledge into products and services for economic and social benefit, with the support of Explainable AI (XAI) systems.

The focus of NL4XAI is in the automatic generation of interactive explanations in natural language, just as humans naturally do, and as a complement to visualization tools. As a result, ESRs are expected to leverage the usage of AI models and techniques even by non-expert users.

The NL4XAI consortium is made up of 18 partners and beneficiaries from 6 different European countries (France, Malta, Poland, Spain, The Netherlands and the United Kingdom). The consortium is coordinated by the Research Centre in Intelligent Technologies of the Univ. of Santiago de Compostela (CiTIUS-USC) and the partners correspond to 2 national R&D centres (IIIA-CSIC and CNRS-LORIA), 10 universities (Univ. Aberdeen, TU Delft, Univ. Malta, Utrecht Univ., Univ. Twente, Univ. Lorraine, Univ. Dundee, Univ. Autònoma de Barcelona, Univ. Santiago de Compostela and Warsaw Univ. of Technology) and 6 private companies (Indra, Accenture, Orange, Wizenoze, Arria and Info Support).

Each ESR will work in an individual research project in a different host institution and will participate in academic and inter-sectoral secondments at the premises of other NL4XAI’s members.

We look for outstanding, motivated and team-spirited candidates to carry out a PhD within the NL4XAI ETN and who will get unique international and inter-sectoral training from prominent European researchers (from both academy and industry).

All details are available at:
https://nl4xai.eu/

The NL4XAI project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860621.

== Natural Language Processing and Machine Learning Scientist (KTP Fellow) in Manchester, UK ==
* Employer: VoiceIQ and The University of Manchester, UK
* Title: Natural Language Processing and Machine Learning Scientist (KTP Fellow)
* Specialty: NLP, Machine Learning
* Location: Manchester, UK
* Deadline: January 13, 2020
* Date posted: December 11, 2019
* Contact: [mailto:Sophia.Ananiadou@manchester.ac.uk Sophia.Ananiadou@manchester.ac.uk]

This is an exciting opportunity for an ambitious research scientist with expertise in Natural Language Processing and Machine Learning with the ability and confidence to work on a 30-month Knowledge Transfer Partnership (KTP) project with VoiceIQ Limited.

The project aims at developing innovative AI solutions to an exciting, high-impact and challenging problem of automatically detecting consumer vulnerability from communication channels by embedding state-of-the-art natural language processing and machine learning techniques.

VoiceIQ is an AI-powered, communications system, transforming enterprise telephony by leveraging the power of machine learning and natural language processing. The University of Manchester is among the world’s best universities (World 33 by Academic Ranking of World Universities 2019, World 27 by QS 2020).

The position will provide you with a unique opportunity to work in a rapidly growing UK based, AI software company and play a key role in the product development and commercial success of the company. You:

- Will apply and improve state-of-the-art machine learning and natural language processing techniques to address a cutting edge business problem which has a high level of commercial applicability;

- Will play a vital role in innovating, experimenting, developing and transferring such new techniques to VoiceIQ, publishing academic research discoveries in high impact fora in the field, and supporting strategically important future business development;

- Ultimately, will be responsible for creating a product that is new, first to the market and that will help protect vulnerable members of society from falling prey to mis-selling.

The position is particularly suitable for applicants who want to bridge academic and industrial research excellence.

You will require a PhD degree with an emphasis on machine learning applied to natural language processing or relevant subjects, and a few years of post-doc (or equivalent) experience. Experience relevant to deep learning and neural network-based learning models, to either text or speech analytics is essential.

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

Based at VoiceIQ at Universal Square Business Centre in Manchester, the successful candidate will work directly with supervisors from both the University of Manchester and VoiceIQ and will use the facilities and resources of both organisations.

As an equal opportunities employer we welcome applicants from all sections of the community regardless of gender, ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

FURTHER DETAILS AND APPLICATION FORM - https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=18367

== 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, Machine Learning, Text Mining
* Location: Darmstadt
* Deadline: December 11, 2019
* Date posted: November 14, 2019
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]

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

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

We are looking to strengthen our group’s profile in a set of emerging areas of Machine Learning and Natural Language Processing (NLP). Examples include human-in-the-loop machine learning, argument mining and claim validaton, conversational AI, or multimodal commonsense reasoning. 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 ask 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 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 December 11th, 2019: [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.

== Tenure-Track/Tenured Faculty Positions: The University of Texas at Arlington ==
* Employer: Department of Computer Science and Engineering, The University of Texas at Arlington
* Title: Assistant/Associate Professor
* Speciality: AI / Machine Learning / Robotics, Cyber Physical Systems
* Location: Arlington, TX, USA
* Deadline: Review of applications will start November 15, 2019 and will continue until the positions are filled.
* Contact: Christoph Csallner (csallner@uta.edu), Chengkai Li (cli@uta.edu)
* Date posted: November 9, 2019
* Website: https://cse.uta.edu/faculty-positions/tenure-track.php

The Computer Science and Engineering Department at The University of Texas at Arlington invites applications for 3 tenure-track/tenured assistant/associate professor positions with a tentative start date in Fall 2020. The areas of the following position titles are intended to be interpreted broadly (e.g., "Cyber Physical Systems" may include embedded systems, hybrid systems, sensors, vision, IoT, cybersecurity, feedback systems, actuation, digital fabrication, and related areas):

* Assistant/Associate Professor - AI / Machine Learning / Robotics
* Assistant Professor - Cyber Physical Systems
* Assistant/Associate Professor - Cyber Physical Systems

Our key objective is to hire faculty members with outstanding qualifications, who share the university's core values of high standards of excellence in teaching, innovative research, and service, combined with fostering an open and inclusive environment and promoting diversity and participation of groups that are currently underrepresented in engineering fields. A major emphasis will be potential research collaboration within and outside the department.

'''Application Instructions'''

To apply, please go to https://uta.peopleadmin.com/postings/10800 and submit the following materials: cover letter, curriculum vitae, research plans, teaching philosophy, and contact information of at least three references (at least five references for Associate Professor candidates). Senior candidates should also include unofficial course evaluations. All candidates should also include a statement of contribution to diversity, equity, and inclusion.

Review of applications will start November 15, 2019 and will continue until the positions are filled.

Questions about the openings should be addressed to cli@uta.edu or csallner@uta.edu.

'''EEO/AA Policy'''

UTA is an Equal Opportunity/Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply. Additionally, the University prohibits discrimination in employment on the basis of sexual orientation. A criminal background check will be conducted on finalists. UTA is a tobacco free campus.

== Tenure Track Faculty Positions: Johns Hopkins University ==
* Employer: Department of Computer Science, Johns Hopkins University
* Title: Assistant/Associate/Full Professor
* Speciality: All areas of Computer Science
* Location: Baltimore, Maryland, USA
* Deadline: December 15, 2019
* Contact: Mark Dredze (mdredze@cs.jhu.edu)
* Date posted: October 31, 2019
* Website: https://www.cs.jhu.edu/about/employment-opportunities/

http://apply.interfolio.com/69225

The Johns Hopkins University’s Department of Computer Science seeks
applicants for tenure-track faculty positions at all levels and across
all areas of computer science. The department will consider offers in
two tracks: (1) an open track seeking excellent candidates across all
areas of computer science; and (2) a track seeking candidates in the
areas of human computer interaction (HCI), human AI interaction,
computational health, artificial intelligence and machine learning.
The search will focus on candidates at the junior level, but all
qualified applicants will be considered.

Plans for faculty growth in the department are aligned with School and
University initiatives in health and AI. Additionally, the faculty
will continue to grow by adding excellent and diverse candidates
across all areas of computer science. The HCI search is part of a
newly-launched initiative (http://hci.jhu.edu) that seeks to transform
existing HCI research activities across the university by making
several faculty hires within Computer Science.

The Department of Computer Science has 31 full-time tenured and
tenure-track faculty members, 8 research and 5 teaching faculty
members, 200 PhD students, 200 MSE/MSSI students, and over 500
undergraduate students. There are several affiliated research centers
and institutes including the Laboratory for Computational Sensing and
Robotics (LCSR), the Center for Language and Speech Processing (CLSP),
the JHU Information Security Institute (JHUISI), the Institute for
Data Intensive Engineering and Science (IDIES), the Malone Center for
Engineering in Healthcare (MCEH), the Institute for Assured Autonomy
(IAA), and other labs and research groups. More information about the
Department of Computer Science can be found at www.cs.jhu.edu and
about the Whiting School of Engineering at
https://engineering.jhu.edu.

Applicants should submit a curriculum vitae, a research statement, a
teaching statement, three recent publications, and complete contact
information for at least three references.

Applications must be made on-line at
http://apply.interfolio.com/69225. While candidates who complete their
applications by December 15, 2019 will receive full consideration, the
department will consider applications submitted after that date.

The Whiting School of Engineering and the Department of Computer
Science are committed to building a diverse educational environment:
https://www.cs.jhu.edu/diversity/.

The Johns Hopkins University is committed to equal opportunity for its
faculty, staff, and students. To that end, the University does not
discriminate on the basis of sex, gender, marital status, pregnancy,
race, color, ethnicity, national origin, age, disability, religion,
sexual orientation, gender identity or expression, veteran status or
other legally protected characteristic. The University is committed to
providing qualified individuals access to all academic and employment
programs, benefits and activities on the basis of demonstrated
ability, performance and merit without regard to personal factors that
are irrelevant to the program involved.

== Assistant Professor with emphasis on Natural Language Processing, University of Georgia ==
* Employer: Department of Computer Science, University of Georgia
* Title: Assistant Professor
* Speciality: NLP unspecified
* Location: Athens, Georgia, USA
* Deadline: November 13 2019
* Contact: Krzysztof J. Kochut (kkochut@uga.edu)
* Date posted: October 24th 2019

Assistant Professor with emphasis on Natural Language Processing

The Department of Computer Science at the University of Georgia invites applications for a tenure-track assistant professor position, starting August 2020. This position will complement and further strengthen our department’s research and education efforts in Natural Language Processing and offers a competitive salary and generous startup package. Applicants should hold a Ph.D. in Computer Science or related field.

The ideal candidate for this position will have a strong research background in Natural Language Processing, and be committed to excellence in both research and teaching.

Computer Science is a growing and congenial department of 35 faculty within the Franklin College of Arts and Sciences. The department has more than 1,150 undergraduate and more than 200 graduate students and offers the B.S., M.S., and Ph.D. degrees in CS. The teaching load allows for substantial concentration on research. In addition to the areas in which we are recruiting, our faculty cover a broad range of research interests, including algorithms, artificial intelligence, bioinformatics, brain imaging and mapping, computer security, computational science and high-performance computing, computer vision, data privacy, data science, distributed and real-time systems, machine learning, parallel and distributed computing, robotics, simulation, and semantic web. Please see http://www.cs.uga.edu for more information about the department and the university.

The Franklin College of Arts and Sciences, its many units, and the University of Georgia are committed to increasing the diversity of its faculty and students, and sustaining a work and learning environment that is inclusive. Women, minorities, protected veterans and individuals with disability are encouraged to apply. The University of Georgia is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ethnicity, age, genetic information, disability, gender identity, sexual orientation, or protected veteran status. Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact Central HR (hrweb@uga.edu). Please do not contact the department or search committee with such requests. The University of Georgia (UGA), a land-grant and sea-grant university with statewide commitments and responsibilities is the state's oldest, most comprehensive and most diversified institution of higher education (http://www.uga.edu). UGA is currently ranked among the top 20 public universities in U.S. News & World Report. The University's main campus is located in Athens, approximately 65 miles northeast of Atlanta, with extended campuses in Atlanta, Griffin, Gwinnett, and Tifton. UGA was founded in 1785 by the Georgia General Assembly as the first state-chartered University in the country. UGA employs approximately 2,348 full-time faculty and more than 8,980 full-time staff. The University's enrollment exceeds 37,500 students including over 28,800 undergraduates and over 8,700 graduate and professional students. Academic programs reside in 17 schools and colleges, as well as a medical partnership with Augusta University housed on the UGA Health Sciences Campus in Athens.

To apply, please go to http://www.ugajobsearch.com/postings/121338. Please upload a cover letter, curriculum vitae, and short statements of research interests and teaching philosophy. Please provide contact information (email and telephone number) for three references. Review of applications will begin on November 13, 2019 and will continue until the position is filled.

== Assistant or Associate Professor, Dept. Information Systems and Cyber Security, University of Texas at San Antonio ==

* Employer: The University of Texas at San Antonio
* Title: Assistant or Associate Professor of Information Systems and Cyber Security
* Specialty: NLP, text mining, machine learning, data science, or cyber security
* Location: San Antonio, Texas, USA
* Deadline: Open until filled
* Date posted: 21 October 2019
* Contacts: Anthony Rios, (anthony.rios@utsa.edu)

The University of Texas at San Antonio
Department of Information Systems and Cyber Security

The University of Texas at San Antonio Department of Information Systems and Cyber Security invites applicants for a tenure-track position (rank: Assistant or Associate) beginning Fall 2020.

The position requires a Ph.D. degree in Information Systems, Cyber Security or related areas (e.g., Information Science, Computer Engineering, Computer Science, etc.) with a strong preference for a specialization in Data Analytics (e.g., machine learning, information retrieval, natural language processing, computational social science, etc.) or a specialization in Cyber Security. Candidates whose work lies at the intersection of Data Analytics and Cyber Security (e.g., anomaly detection in computing system data, artificial intelligence informed cyber situational awareness, etc.) are particularly encouraged to apply. Candidates must demonstrate strong potential for publishing in top-tier Information Systems, Data Analytics or Cyber Security publication venues. The successful candidate must demonstrate their ability to work with and be sensitive to the educational needs of diverse urban populations and support the university’s commitment to thrive as a Hispanic Serving Institution and a model for student success. Candidates will be expected to participate in departmental service activities. Candidates are also expected to participate in pursuing cross-disciplinary research grants. The ability to obtain and conduct federally-funded research that requires a top-secret security clearance is preferred. Responsibilities include research, teaching at the graduate and undergraduate levels and program development. The Department of Information Systems and Cyber Security consists of 14 tenured and tenure-track faculty members. Salary and benefits are competitive and commensurate with qualifications and experience. For additional information about the position, visit https://business.utsa.edu/faculty-and-research/faculty-openings/.

Applicants must submit their full application package via the STARS program which is located at
https://jobs.utsa.edu/.

Applications will be accepted until the position is filled. Questions may be directed to Dr. Anthony Rios, chair of the search committee, at Anthony.Rios@utsa.edu. Tenured appointments are contingent upon Board of Regents approval. Applicants who are selected for interviews must be able to show proof that they will be eligible and qualified to work in the United States by time of hire. UTSA is an Affirmative Action/Equal Opportunity Employer. Women, minorities, veterans and individuals with disabilities are encouraged to apply.

== Assistant Professor in Computational Linguistics, Dept. of Linguistics, University of Colorado at Boulder ==

* Employer: University of Colorado
* Title: Assistant Professor of Linguistics
* Specialty: Computational Linguistics
* Location: Boulder, Colorado, USA
* Deadline: 1 November 2019
* Date posted: 07 October 2019
* Contacts: Martha Palmer or Mans Hulden, (martha.palmer@colorado.edu)

The Department of Linguistics at the University of Colorado Boulder seeks applications for an Assistant Professor tenure-track faculty position in Computational Linguistics beginning Fall 2020. Within Computational Linguistics we are particularly interested in candidates who use computational methods to address enduring questions in syntax, semantics and/or pragmatics, and other core areas of linguistics. We envision potential applications to Natural Language Processing and/or to discourse and dialogue advances that could be relevant to Human-Computer Interaction. Our primary consideration is the originality, intellectual breadth, and promise of the candidate’s work. This position will complement the strong, interdisciplinary cohort of Computational Linguistics faculty at CU and be affiliated with both our Center for Computational Language and EducAtion Research (CLEAR), and our cross-college Professional MS in Computational Linguistics, Analytics, Search and Informatics (CLASIC). The successful candidate will also benefit from our interdisciplinary partnerships with the Institute of Cognitive Science. We are especially interested in qualified candidates who can contribute, through their research, teaching, and service, to the diversity and excellence of our academic community.

Full consideration will be given to applications that are completed by November 1, 2019. Applications will be accepted until February 15, 2020.

For more details see:

https://jobs.colorado.edu/jobs/JobDetail/?jobId=20950

== Assistant Professor of Linguistics, Dept. of Linguistics, University of Kentucky ==

* Employer: University of Kentucky
* Title: Assistant Professor of Linguistics
* Specialty: Computational Linguistics
* Location: Lexington, Kentucky, USA
* Deadline: 18 November 2019
* Date posted: 07 October 2019
* Contacts: Mark Richard Lauersdorf (lauersdorf@uky.edu)

The Department of Linguistics at the University of Kentucky in Lexington, Kentucky invites applications for a tenure track position at the rank of Assistant Professor of Linguistics to begin August 2020. The ideal candidate will have demonstrated research expertise using the tools and methodologies of computational linguistics in pursuit of theoretical linguistic questions, and an ability to teach courses in a range of computational and theoretical areas. We encourage candidates who apply computational methods in one or more of the following areas: syntax, semantics, phonology, phonetics, sociolinguistics, or historical linguistics. As a department and university, we are strongly committed to creating an inclusive and effective teaching, learning, research, and working environment for all.

Responsibilities of the position include pursuing an active research program and teaching a total of four courses per year at the introductory, advanced undergraduate, and graduate levels. Responsibilities also include active participation in the academic life of the department, collaboration with units across campus (e.g., Computer Science, Modern and Classical Languages, Hispanic Studies), pursuing external funding, and providing service to the university and the discipline. Applicants are expected to have completed their PhD by August 2020.

Interested applicants should apply online at: http://ukjobs.uky.edu/postings/251804. Applicants should submit the following: (1) letter of application, (2) current CV, (3) research statement (1-2 pages in which applicant describes current and future research agenda; upload as Specific Request 1), (4) a recent writing sample, (5) teaching statement (1-2 pages in which applicant discusses teaching philosophy and experiences; upload as Specific Request 2), and (6) a diversity statement (1-2 pages in which applicant reflects on commitments, approaches, and insights related to inclusion, diversity, and equity; upload as Specific Request 3). In addition, please provide the names and contact information for three references when prompted in the academic profile. This information may be utilized to solicit recommendation letters from your references within the employment system at a more advanced stage of the application process.

All applications will be acknowledged. Deadline for the receipt of applications is November 18, 2019.

For any questions relating to this position, please contact the chair of the search committee, Mark Richard Lauersdorf, at lauersdorf@uky.edu.

The University of Kentucky is an Equal Opportunity Employer and encourages applications from veterans, individuals with disabilities, women, African Americans, and all minorities.

== Postdoctoral Research Fellow on Sloan-sponsored NLP project, University of California, Berkeley ==

* Employer: UC Berkeley
* Title: Postdoctoral Fellow
* Specialty: NLP, definition recognition, text equation analysis, information retrieval
* Location: Berkeley, CA, USA
* Deadline: Open until filled
* Date posted: September 17, 2019
* Contacts: Marti Hearst (hearst@berkeley.edu)

UC Berkeley’s School of Information and CS Division seeks a Postdoctoral Fellow to conduct research and algorithm development in Natural Language Processing, with a sub-interest in Information Retrieval or Citation Analysis. This position funds a researcher to work alongside Prof. Marti Hearst on a Sloan-funded project whose goal is to develop intelligent interfaces to the AI scientific literature, in collaboration with researchers and developers at AI2’s Semantic Scholar project. The Postdoctoral Fellow will develop novel algorithms and software to identify definitions within and between scientific papers in the co-citation network, analyze textual descriptions of mathematical notation, and other relevant NLP and IR research problems. This ambitious project provides an opportunity to test research results with tens of thousands of users in an open source environment.

The Postdoctoral Fellow position requires a terminal degree appropriate to your discipline. The position does not have a teaching requirement, but if desired, the Fellow will have opportunities to teach and mentor both undergraduate and graduate students. The Fellow will be viewed as a colleague, and with mentorship, will be launched to the next career stage.

Applicants should have experience conducting independent research, demonstrate a record of developing algorithms and supporting software, communicating research via publications and presentations, be excited about the goals of the project and about participating in collaborative, interdisciplinary research. Applicants must have defended their PhD in Computer Science, Information Science, or a related field by the time of employment.

Applicants should have interests in one or more of the following areas: natural language processing, co-citation analysis, information retrieval. The ideal candidate is deeply interested in analyzing the text of documents via detecting and/or generating explanations and definitions within and between documents in a co-citation network. A background or interest in human computer interaction is a strong additional qualification.

'''How do I apply?'''
Interested candidates should prepare a single pdf file containing: (1) a cover letter stating background, experience, interest in the position, and career objectives, (2) a curriculum vitae or résumé, including a link to a web page with publications and other relevant information (3) the names and contact information for three references who can write a letter on your behalf, and (4) a relevant sample of published work. Send application materials to Prof. Marti Hearst (hearst@berkeley.edu) with the subject line: NLP postdoc application.

'''How much does the position pay?'''
The University classifies this as a Postdoctoral position. All recipients receive a salary of US $60,000/year for full-time employment as well as full benefits (https://vspa.berkeley.edu/postdoc-health-insurance-and-benefits). Additional funds are available for equipment and professional travel.

'''When can I apply?'''
Review of applications will begin on October 15, 2019 and will continue until the position is filled.

'''When does the position start?'''
January 2, 2020 is the preferred start date, although it can start earlier, but we can be flexible depending on other factors. The position will be for one year with possible extension for an additional half year.

'''Will foreign applicants be considered?'''
Yes. We highly encourage students from underrepresented groups to apply. UC Berkeley is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or other legally protected status.

== Research professor, Department of Computer Science, KU Leuven, Belgium ==

* Employer: KU Leuven
* Title: Research professor
* Specialty: Representation learning for natural language and multimedia processing
* Location: Leuven, Belgium
* Deadline: September 20, 2019
* Date posted: September 4, 2019
* Contact: Sien Moens (Sien.Moens@cs.kuleuven.be)

The Department of Computer Science at KU Leuven has a full-time academic vacancy in the area in natural language and multimedia processing. The position is a research professorship with strongly reduced teaching responsibilities for the first 10 years. We seek applications from internationally oriented candidates with an outstanding research track record and excellent didactic skills. The successful candidate will perform research in the Human-Computer Interaction research group. The appointment is expected to start on October 1, 2020.

More information is available at https://www.kuleuven.be/personeel/jobsite/jobs/55192105?hl=en&lang=en .

== Postdoctoral researcher, KU Leuven, Belgium ==
*Employer: Department of Computer Science, KU Leuven
*Title: Postdoctoral researcher
*Speciality: Representation learning in the context of natural language understanding
*Location: Leuven, Belgium
*Deadline: October 15, 2019
*Date posted: September 4, 2019
*Contact: sien.moens@cs.kuleuven.be

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

== Postdoctoral fellow on IBM-sponsored NLP for human microbiome project, UC San Diego ==

* Employer: UC San Diego
* Title: Postdoctoral Fellow
* Specialty: NLP, text mining, knowledge base construction
* Location: La Jolla, CA, USA
* Deadline: Open until filled
* Date posted: August 22, 2019
* Contacts: Daniel Freed (CMIinfo@ucsd.edu)

The automatic knowledge base construction group in the UC San Diego-IBM Artificial Intelligence for Healthy Living (AIHL) program, led by [https://profiles.ucsd.edu/chun-nan.hsu Dr. Chun-Nan Hsu] and [https://knightlab.ucsd.edu/wordpress/?page_id=47 Dr. Rob Knight], is seeking applications of a Postdoctoral Fellow in deep learning for natural language processing to extract microbiome knowledge from the scientific literature. The positions are available immediately. The project will be funded on a contract for three years. The research group is part of [https://cmi.ucsd.edu/ the Center for Microbiome Innovation (CMI)], one of the top research centers in the world in human microbiome research, developing AI, deep learning, and cutting edge data sciences to advance the understanding of the impact of microbiome to health. The knowledge base group has developed one of the most efficient and accurate algorithms in automated understanding of disease mentions in the scientific literature, winning [https://github.com/IBM/aihn-ucsd/tree/master/NormCo-deep-disease-normalization the Best Application Award in the 2019 conference of Automated Knowledge Base Construction (AKBC)]. Our former master student was admitted to prestigious PhD programs with fellowships.
The group resides in the [http://qi.ucsd.edu/ Qualcomm Institute] (UC San Diego division of the California Institute for Telecommunications and Information Technology (Calit2)), the home of multidisciplinary research programs and startups at UCSD. The group has access to powerful GPU computer clouds at CMI and IBM. The group strives to deliver useful knowledge base systems and develop original, innovative, top-tier conference acceptable algorithms simultaneously. Group members work closely with CMI faculties and students and top-notch researchers from IBM in the Bay Area and around the world through frequent virtual and face-to-face meetings. The postdoctoral fellow will be encouraged to take initiation to explore new ideas to accomplish fully automatic knowledge base construction for human microbiome and work on grant proposals to develop into an independent leader of scientific research.

'''Scope of research:'''
* Learning from structured ontologies
* Unsupervised, weakly supervised machine learning and active learning for NLP
* Biomedical concept understanding
* Event and relation extraction and inference
'''Qualifications:'''
* Ph.D. in a relevant discipline, including in the areas of natural language processing, machine learning, or bioinformatics and systems biology
* Strong record in publications in top-tier AI conferences and Bioinformatics journals
* Undergraduate or graduate coursework or degree in Biology or a related field is a plus

'''How to Apply:'''
Please email a completed application form (http://cmi.ucsd.edu/PostDocApplication) and support documents to CMIInfo@ucsd.edu to apply.

''Note: If you have relatives employed at UC San Diego, you must include the name, relationship and department where employed in your resume or cover letter. This information is used only for the purpose of complying with the University’s nepotism policy.
''

== Postdocs on Facebook-sponsored neural NLG project, Ohio State University ==

* Employer: The Ohio State University
* Title: Postdoctoral Scholar
* Specialty: NLG, conversational systems, NLP
* Location: Columbus, OH, USA
* Deadline: August 18, 2019
* Date posted: August 2, 2019
* Contacts: Michael White (mwhite@ling.osu.edu)

Multiple postdoctoral scholar positions are open at Ohio State for a Facebook-sponsored project on natural language generation in conversational system with the theme of structure in neural NLG.

Full details are available on the application page: https://www.jobsatosu.com/postings/96937

== Open Rank Professor, iSchool and Department of Criminology and Criminal Justice, University of Maryland ==

* Employer: University of Maryland
* Title: Open Rank Professor
* Specialty: Data-driven analyses in crime, law and justice
* Location: College Park, MD
* Deadline: October 1, 2019 (deadline for full consideration, late applications may be accepted)
* Date posted: July 26, 2019
* Contacts: Katie Shilton (kshilton@umd.edu) and Laura Dugan (ldugan@umd.edu)

The College of Information Studies (Maryland’s iSchool) and the Department of Criminology and Criminal Justice at the University of Maryland, College Park invite applications for an open rank tenure-track or tenured faculty position with a focus on building systems for and conducting data-driven analyses in crime, law and justice. Examples of possible research approaches include: data mining; information visualization; automating or advancing data pre-processing; signal processing, computer vision, and natural language processing; applied machine learning; algorithmic transparency, debiasing algorithms and data, and algorithmic accountability; and computational
social science.

We are interested in candidates who apply these topics in the context of criminology, justice, and criminal law (e.g., predictive policing, pretrial risk assessment, database building through open sources, linking criminal records, recidivism prediction, management of bodycam video, face recognition in surveillance images, management of DNA evidence). Candidates with data-driven approaches to related social science topics are encouraged to apply.

Applicants should apply electronically at https://ejobs.umd.edu/postings/71777.

== Tenure-track Assistant Professor of Computational Linguistics, Boston University ==

* Employer: Boston University
* Title: Assistant Professor
* Specialty: Computational Linguistics
* Location: Boston, MA
* Deadline: October 20, 2019 (deadline for full consideration, late applications may be accepted)
* Date posted: July 24, 2019
* Contact: Carol Neidle <carol@bu.edu>

The Boston University Linguistics Department seeks a tenure-track Assistant Professor of Computational Linguistics (for primary appointment in Linguistics, secondary appointment in or affiliation with Computer Science), beginning July 1, 2020, pending budgetary approval; to conduct research, teach courses in Computational Linguistics and related areas (Linguistics, Computer Science) at introductory and advanced levels, and advise graduate and undergraduate students. Should have excellent programming skills and experience in computational linguistic research. Experience in application of computational methods to field linguistics or analysis of understudied languages would be a plus. Requirements include PhD in Linguistics (preferred) or Computer Science in hand by start date, with strong background in both fields, and demonstrated excellence in teaching, advising, and research. For further information: http://ling.bu.edu/ and http://www.bu.edu/cs/ .

Applications should be uploaded through https://academicjobsonline.org/ajo/jobs/14064. Full details of application requirements, as well as a statement of the university’s commitment to diversity and inclusion, are available on that site.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.

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

* Employer: New York University
* Title: Research Engineer
* Specialty: Open-source software, pretraining and transfer learning
* Location: New York, USA
* Deadline: July 31, 2019 (deadline for full consideration, late applications may be accepted)
* Date posted: July 17, 2019
* Contact: Sam Bowman <bowman@nyu.edu>

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

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

* Employer: University of Manchester
* Title: PhD in Biomedical Information Extraction
* Specialty: Natural Language Processing, Text Mining, Machine Learning
* Location: Manchester, UK
* Deadline: May 26, 2019
* Date posted: May 10, 2019
* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

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

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

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

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

* Employer: University of Manchester
* Title: PhD in Biomedical Information Extraction
* Specialty: Natural Language Processing, Text Mining, Machine Learning
* Location: Manchester, UK
* Deadline: May 26, 2019
* Date posted: May 10, 2019
* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

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

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

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

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

* Employer: [https://www.univ-rennes1.fr/ University of Rennes 1]
* Title: Postdoctoral Researcher
* Specialty: Natural language processing
* Duration: 24 months
* Location: Lannion, France
* Deadline: until filled
* Date posted: April 23, 2019
* Contact: Gwénolé Lecorvé (gwenole.lecorve@irisa.fr), Jonathan Chevelu (jonathan.chevelu@irisa.fr)

'''Overview'''

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

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

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

The recruited person will work on a paraphase generation and propose solution to integrate register-specific stylistic constraints. She/he is expected to investigate on the use of statistical and neural paraphrasing systems, that is:
* Training of a baseline systems using either statistical or neural approaches.
* Intregration of constraints formulated as sequential patterns.
* Organization of evaluation campaigns.

'''Job requirements'''

* PhD in natural language processing or machine learning
* Top academic and publication records
* Good communication skills
* Team work experience
* Knowledge in French is a plus but is not required.

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

* Employer: [https://www.orau.org/arlfellowship/ US Army Research Laboratory]
* Title: Postdoctoral Researcher
* Specialty: Natural language processing, human-robot interaction, dialogue systems
* Location: Adelphi, Maryland, United States with ~8 weeks of travel per year to Boston
* Deadline: April 30, 2019 (or until filled)
* Date posted: April 15, 2019
* Contact: Matthew Marge (matthew.r.marge.civ@mail.mil)

'''Overview'''

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

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

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

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

'''Job requirements:'''
* Ph.D. or equivalent research experience in computer science, artificial intelligence, computational linguistics, human-robot interaction, computer engineering or related field.
* U.S. citizenship is preferred.

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

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

* Employer: [https://www.informatik.tu-darmstadt.de/ukp/ukp_home/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Associate Research Scientist
* Specialty: Natural Language Generation, Semantics and Discourse Processing, Multi-document Information Consolidation
* Location: Darmstadt
* Deadline: April 30, 2019 (or until filled)
* Date posted: April 12, 2019
* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

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

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

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

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

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

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

Applications should include a detailed CV, a motivation letter and an outline of previous work or research experience (if available).
Applications from women are particularly encouraged.
All other things being equal, candidates with disabilities will be given preference.

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

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

* Employer: Bosch Research
* Title: Senior Research Scientist (Principal level position also available)
* Specialties: Natural language processing, natural language understanding, information retrieval, question answering, information extraction.
* Location: Sunnyvale, CA, USA
* Deadline: N/A (The position is open until filled)
* Date Posted: March 7, 2019
* Website: http://smrtr.io/_cXw

'''Company Description'''

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

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

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

'''Job Description'''

* Drive advanced research and engineering of Natural Language Processing (NLP) technologies
* Apply research results to Bosch prototypes, products and services of information retrieval, question answering, conversational AI, and information extraction.
* Working together with Bosch business units to integrate the resulting system/software into Bosch platform with high quality implementation
* Summarize research findings in high-quality paper and/or patent submissions

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

* Employer: University of Manchester
* Title: Natural Language Processing Research Associate (KTP Associate)
* Specialty: Natural Language Processing, Text Mining, Machine Learning
* Location: Wilmslow, Cheshire, UK
* Deadline: April 7, 2019
* Date posted: March 7, 2019
* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

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

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

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

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

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

ESSENTIAL SKILLS

* BSc and MSc degree in Computer Science or related areas
* Specialist (PhD-level) knowledge in Natural Language Processing or extensive experience in the development of NLP/text analysis software
* Experience in use of deep learning for NLP/text mining
* Experience of machine learning (especially of context aware linear models for multi-task learning, and of active learning) for NLP/text mining
* Experience of probabilistic inference, predictive modelling and decision making
* Software development experience in Java or Python

LOCATION - Bott and Co, Wilmslow, Cheshire

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

DURATION - 30 months - starting ASAP

CLOSING DATE - 07/04/2019

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

== Postdoc position, KU Leuven ==
*Employer: Department of Computer Science, KU Leuven
*Title: Postdoctoral Researcher
*Speciality: Representation learning in the context of natural language understanding
*Location: Leuven, Belgium
*Deadline: February 28, 2019
*Date posted: February 13, 2019
*Contact: sien.moens@cs.kuleuven.be

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

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

'''Responsibilities'''

*Perform research in language understanding and novel machine learning paradigms in the frame of the CALCULUS project.
*Carry out some teaching duties, which may include lectures/exercise sessions, the organization of student seminars, and the supervision of bachelor and master theses.
*Help in the supervision of PhD researchers of the CALCULUS team.

'''Profile'''

*You have (or are near completion of) a PhD in Computer Science (or a related field).
*You have a motivated interest in fundamental research in language understanding and machine learning.
*You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in relevant journals with high impact factor.
*You are good at collaborating with and leading others.
*You have a very good knowledge of English, both spoken and written.

'''Offer'''

*We offer a 2 x two-year postdoctoral position, starting in the summer of 2019.
*We offer a competitive wage and yearly budget to attend conferences and for short research stays.

'''Interested'''

Please contact Prof. dr. Marie-Francine Moens, tel.: +32 16 32 53 83, mail: sien.moens@kuleuven.be.
Excellent candidates will be invited for an interview (possibly via Skype). The position will be closed when a valuable candidate is found.

== Postdoc position, Masaryk University ==
*Employer: Machine Learning and Data Processing Department, Faculty of Informatics, Masaryk University
*Title: Postdoctoral Researcher
*Speciality: natural language processing, knowledge representation and reasoning
*Location: Brno, Czech Republic
*Deadline: March 1, 2019
*Date posted: January 15, 2019
*Contact: Ales Horak: hales@fi.muni.cz, subject "Postdoc 2019"
*Application link: https://www.muni.cz/en/about-us/careers/vacancies/43809

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

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

'''Requirements'''

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

'''Evaluation'''

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

'''Application'''

Applications must be submitted electronically at the attached www address - the electronic application form (only reference letters, if not given directly to the applicant, may be sent by email). The applicants should provide the following documents with their application:
*An academic CV, a list of publications, and a motivation letter.
*A scanned copy of the PhD diploma, or a letter certifying submission of doctoral thesis for the defense.
*One external reference letter, and one support letter (expression of interest) from a member of the academic staff of the Faculty of Informatics of Masaryk University. These letters, if cannot be attached by the applicant him/herself, may be sent to the e-mail address hales@fi.muni.cz.

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

'''Contact'''

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

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

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

== Two postdoctoral positions, University of Pittsburgh ==
*Employer: The Computational Social Dynamic Lab, University of Pittsburgh
*Title: Postdoctoral Research Associate
*Speciality: computational social science, NLP, machine learning.
*Location: Pittsburgh, PA, USA
*Deadline: January 15, or until position filled
*Date posted: December 06, 2018
*Contact: Yu-Ru Lin (email: <yuruliny@gmail.com> | web: http://yurulin.com | lab: https://picsolab.github.io/)

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

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

For full consideration, candidates should submit the following materials electronically '''''as a single PDF file''''' to Dr. Yu-Ru Lin at <yuruliny@gmail.com>:
# A brief statement of interest describing your relevant background
# Current CV
# The names and contact information for two references (letters of recommendation will be solicited from finalists)
# Two publications or other writing samples
Please include "PostDoc Application 2019" in the email subject line.

== Research Scientist Interns at Adobe Research, San Jose, California ==
*Employer: Adobe Systems Incorporated
*Title: Research Scientist Intern
*Speciality: NLP, machine learning, dialog, and question answering.
*Location: San Jose, CA, USA
*Deadline: March 1, 2019
*Date posted: December 06, 2018
*Contact: bui@adobe.com

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

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

* Employer: University of Memphis
* Rank or Title: Assistant Professor
* Specialty: ML/NLP with particular interest in educational technologies
* Location: Memphis, Tennessee
* Deadline: 1/7/19 but applications accepted until search completed
* Date Posted: 11/28/18
* Contact email: cconnor2@memphis.edu
* Application link: [https://workforum.memphis.edu/postings/20504]

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

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

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

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

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

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

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

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

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

* Employer: University of Manchester
* Title: Research Associate in Text Mining
* Specialty: Text Mining
* Location: Manchester, UK
* Deadline: January 3, 2019
* Date posted: November 27, 2018
* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

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

Post Objectives:

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

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

3. To develop a classification system for risk assessment.

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

* Salary : £32,236 - £39,609 per annum according to experienc
* Hours Per week: Full Time
* Contract Duration : 01 February 2019 until 31 January 2020

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

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

* Employer: University of Manchester
* Title: Research Fellow in Natural Language Processing and Text Mining
* Specialty: Text Mining
* Location: Manchester, UK
* Deadline: January 3, 2019
* Date posted: November 23, 2018
* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

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

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

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

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

* Salary : £40,792 to £50,132 per annum dependent upon experience
* Hours Per week: Full Time
* Contract Duration : Starting Immediately until 31 December 2023

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

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

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Associate Research Scientist
* Specialty: Interactive Text Analysis and Natural Language Processing Tools
* Location: Darmstadt
* Deadline: December 15, 2018 (or until filled)
* Date posted: November 22, 2018
* Contact: https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/

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

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

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

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

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

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

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

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

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

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

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Associate Research Scientist
* Specialty: Natural language processing
* Location: Darmstadt
* Deadline: December 15, 2018 (or until filled)
* Date posted: November 22, 2018
* Contact: https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/

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

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

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

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

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

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

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

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

* Employer: Department of Linguistics and Translation, University of Montreal
* Title: Assistant Professor (tenure-track)
* Specialty: Computational linguistics
* Location: Montreal, Canada
* Deadline: December 13, 2018
* Date posted: November 10, 2018
* Contact: Mireille Tremblay <mireille.tremblay.4@umontreal.ca > and https://ling-trad.umontreal.ca

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

Responsibilities

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

Requirements

* Ph.D. in linguistics, computer science, or a related field.
* Education in both linguistics and computer science, with a strong background in core linguistics.
* Demonstrated interest in using computational techniques in the study of language.
* Ability to teach in at least one of the core domains of linguistics.
* Excellent publication track record in computational linguistics.
* University teaching experience.
* Sufficient knowledge of written and spoken French.

Deadline: until December 13, 2018 inclusively

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

Starting date: On or after August 1st, 2019

Application

The application must include the following documents:
* a cover letter
* a curriculum vitæ
* copies of recent publications and research

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

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

Mireille Tremblay, directrice 
Département de linguistique et de traduction 
Faculté des arts et des sciences 
Université de Montréal 
C.P. 6128, succursale Centre-ville 
Montréal (QC) H3C 3J7 
Canada

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

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

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

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

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

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

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

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

* Employer: National Centre for Text Mining, School of Computer Science, University of Manchester
* Title: Software Engineer
* Specialty: Text Mining
* Location: Manchester, UK
* Deadline: November 25, 2018
* Date posted: October 25, 2018
* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

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

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

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

* Salary : £40,792 to £50,132 per annum dependent upon experience
* Hours Per week: Full Time
* Contract Duration : Starting 1 January 2019 for 5 years

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

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

* Employer: Department of Linguistics, University of Florida
* Title: Tenure-track Assistant Professor
* Specialty: computational language science
* Location: Gainesville, FL 32601
* Deadline: November 18, 2018
* Date posted: October 18, 2018
* Contact: Stefanie Wulff <swulff@ufl.edu> and https://apply.interfolio.com/56557

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

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

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

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

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

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

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

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

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

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

* Employer: School of Information, University of Arizona
* Title: Postdoctoral Research Associate
* Specialty: natural language processing
* Location: Tucson, AZ, USA
* Deadline: Open until filled
* Date posted: October 15, 2018
* Contact: Peter Jansen <pajansen@email.arizona.edu>

Postdoctoral Research Associate I 
https://uacareers.com/postings/31213

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

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

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

Minimum Qualifications
* A Ph.D. in Computer Science, Information Science, Computational Linguistics, or a related field.
* Demonstrated interest in natural language processing or machine learning techniques.
* Excellent verbal and written communication skills

Duties and Responsibilities
* Engage in innovative natural language processing research
* Write and publish scientific articles describing methods and findings in high-quality venues (e.g. ACL, EMNLP, NAACL, etc.)
* Assist in mentoring graduate and undergraduate students, and the management of ongoing projects
* Support writing grant proposals for external funding opportunities
* Serve as a collaborative member of a team of interdisciplinary researchers

Preferred Qualifications
* Knowledge of computational approaches to semantic knowledge representation, graph-based inference, and/or rule-based systems
* Strong scholarly writing skills and publication record

Full Posting/To Apply 
https://uacareers.com/postings/31213

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

* Employer: Department of Linguistics, University of California, Santa Barbara
* Title: Lecturer
* Specialty: computational linguistics and/or natural language processing and general linguistics
* Location: Santa Barbara, CA 93106
* Deadline: October 24, 2018
* Date posted: September 27, 2018
* Contact: https://recruit.ap.ucsb.edu/apply/JPF01317

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

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

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

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

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

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

* Employer: Department of Linguistics, University of California, Santa Barbara
* Title: Assistant Professor
* Specialty: computational linguistics and/or natural language processing
* Location: Santa Barbara, CA 93106
* Deadline: November 9, 2018
* Date posted: September 27, 2018
* Contact: https://recruit.ap.ucsb.edu/apply/JPF01310 and complingsearch@linguistics.ucsb.edu

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

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

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

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

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

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

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

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

* Employer: Quantitative Criticism Lab, University of Texas at Austin
* Title: Postdoctoral Fellow
* Specialty: Digital humanities and natural language processing
* Location: Austin, TX or remote
* Deadline: October 15, 2018
* Date posted: September 7, 2018
* Contact: https://www.nature.com/naturejobs/science/jobs/652327-postdoctoral-fellow

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

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

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

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

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

# CV;
# Cover letter;
# Short (2-4 page) summary of past and current research interests, giving particular attention to any computational work;
# Writing sample of no more than 40 pages (e.g., article or dissertation chapter).

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

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

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

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

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

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

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

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

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

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Associate Research Scientist
* Specialty: Natural language processing
* Location: Darmstadt
* Deadline: September 30, 2018 (or until filled)
* Date posted: September 6, 2018
* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

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

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

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

Possible areas of research include, but are not limited to:
* interactive clustering and machine learning to extract sets of textual snippets according to multiple criteria, e.g. high-quality and diverse examples illustrating a lexical entry’s usage;
* NLP for low-resource languages, e.g. analyzing discourse-level argumentation in Georgian;
* interactive sequence labeling to support claim validation by experts, e.g. for extracting evidence from corpora;
* joint text and image processing for content classification in social media, e.g. identifying bias;
* analyzing and generating creative language, such as humor, metaphor, or other rhetorical means.

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

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

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

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

== Tenure-track and tenure-eligible investigators at the National Library of Medicine, Bethesda, Maryland ==
*Employer: National Library of Medicine
*Title: Tenure-track and tenure-eligible investigators
*Specialty: Natural Language Processing
*Location: Bethesda, MD, USA
*Deadline: Applications will be accepted until the position is filled.
*Date posted: August 15, 2018
*Contact: Dr. Andy Baxevanis, the Search Chair, <andy@mail.nih.gov>

The National Library of Medicine is currently recruiting for both tenure-track and tenure-eligible investigators in data science, biomedical informatics, and computational biology.
Individuals with significant experience in the use of statistical, machine learning, optimization and advanced mathematical methodologies as applied to biomedical and health science are encouraged to apply.
Additional details are available by following the links below.

https://www.nlm.nih.gov/careers/jobopenings.html
https://www.nlm.nih.gov/careers/jobopening_ncbi_01_20180813.html
https://www.nlm.nih.gov/careers/jobopening_ncbi_02_20180813.html

== Question-Answering Research Internship at Adobe Research, San Jose, California ==
*Employer: Adobe Research
*Title: Research Scientist Intern
*Speciality: Question-answering
*Location: San Jose, CA, USA
*Deadline: Applications will be accepted until the position is filled.
*Date posted: July 3, 2018
*Contact: Franck Dernoncourt <dernonco@adobe.com>

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

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

* Employer: KU Leuven, Belgium
* Title: Postdoctoral researcher
* Specialty: Natural language understanding, machine learning
* Location: Leuven, Belgium
* Deadline: July 31, 2018
* Date posted: June 18, 2018
* Contact: sien.moens@cs.kuleuven.be

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

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

'''Responsibilities'''

* Perform own research in language understanding and novel machine learning paradigms in the frame of the CALCULUS project.
* Carry out some teaching duties, which may include lectures/exercise sessions, the organisation of student seminars, and the supervision of bachelor and master theses.
* Help in the supervision of PhD researchers of the CALCULUS team.

'''Prerequisites'''

* You have (or are near completion of) a PhD in Computer Science (or a related field).
* You have a motivated interest in fundamental research in language understanding and machine learning.
* You are not afraid of creative and original ideas and solutions.
* You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in relevant journals with high impact factor.
* You are good at collaborating with and leading others.
* You work proactively and independently and have good communication skills.
* You have a very good knowledge of English, both spoken and written.
* You are highly motivated, ambitious and result-oriented.

'''Offer'''
* We offer a 2 x 2-year postdoctoral position, starting in September 2018 (negotiable).
* We offer a competitive wage and yearly budget to attend conferences and for short research stays.

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

'''The research team'''

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

'''The university'''

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

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

* Employer: KU Leuven, Belgium
* Title: Postdoctoral researcher
* Specialty: Text mining, machine learning
* Location: Leuven, Belgium
* Deadline: July 31, 2018
* Date posted: June 18, 2018
* Contact: sien.moens@cs.kuleuven.be

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

'''Responsibilities'''

* Design and develop machine learning methods for multilingual text mining.
* Carry out some teaching duties, which may include lectures/exercise sessions, the organization of student seminars, and the supervision of bachelor or master theses.

'''Prerequisites'''

* You have (or are near completion of) a PhD in Computer Science (or a related field).
* You have a motivated interest in and knowledge of text mining and machine learning, including probabilistic graphical models and deep learning.
* You have a solid track record of publications in relevant international peer-reviewed A ranked conferences and journals.
* You have a profound interest in collaborating with the industry on applications of text mining and willing to contribute to a deep learning text analytics platform.
* You have a very good knowledge of English, both spoken and written.
* You are highly motivated, ambitious and result-oriented.

'''Offer'''

* We offer a two-year postdoctoral position, starting in September 2018 (negotiable).
* We offer a competitive wage and yearly budget to attend conferences.

'''Interested'''

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

'''The research team'''

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

'''The university'''

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

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

* Employer: [https://www.aiphes.tu-darmstadt.de/ DFG Graduate School AIPHES], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Doctoral researcher
* Specialty: deep learning, summarization
* Location: Darmstadt
* Deadline: June 27, 2018
* Date posted: June 18, 2018
* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The [http://www.aiphes.tu-darmstadt.de/ Research Training Group “Adaptive Information Preparation from Heterogeneous Sources” (AIPHES)], which has been established in
2015 at Technische Universität Darmstadt and at Ruprecht Karls
University Heidelberg is filling two positions for three years,
starting as soon as possible, located in Darmstadt and associated with
UKP Lab (Prof. Iryna Gurevych). Positions remain open until filled.
The positions provide the opportunity to obtain a doctoral degree with
an emphasis in
natural language processing tasks such as structured summaries of
complex contents, abstractive summarization, or a related area.
Applicants should be willing to work on cross-lingual, cross-modality
and domain-independent methods. Prior experience in transfer learning,
multi-task learning, adversarial learning, deep reinforcement learning
or related methods is a plus.

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

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

'''Prerequisites'''

We are looking for exceptionally qualified candidates with a degree in
Computer Science, Machine Learning, NLP, or a related study
program. We expect the ability to work independently, personal
commitment,
team and communication abilities, as well as the willingness to
cooperate in a multi-disciplinary team. Prior experience in
scientific work is a plus. We specifically invite
applications of women. Among those equally qualified, handicapped
applicants will receive preferential consideration. International
applications are particularly encouraged.

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

Applications should include a motivational letter that refers to one of
the planned research areas of [http://www.aiphes.tu-darmstadt.de/ AIPHES], a CV with
information about the applicant’s scientific work, certifications of
study and work experience, as well as a thesis or other publications
in electronic form. Application materials must be submitted via the
following form by June, 27th, 2018:

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

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

== Postdoc position: Bocconi University, Milan ==

*Employer: Bocconi University
*Title: Postdoctoral Researcher
*Location: Milan, Italy
*Deadline: June 22nd, 2018, 5 p.m.  
*Starting date: as early as possible, but no later than September 2018
*Duration: 1 year  
*Date Posted: June 18, 2018
*Contact: Paola Cillo (paola.cillo@unibocconi.it)
*URL: https://bit.ly/2JW2tKZ (select the Gucci Lab call)

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

REQUIREMENTS/QUALIFICATIONS  

The successful candidate will work actively on novel directions in deep learning, multi-task learning, and neural networks.  The candidate is expected to have:
* a Ph.D. or equivalent in Computer Science, Computational Linguistics/NLP, Mathematics or related fields.
* Good programming skills in Python.
* Fluent English. Knowledge of other languages is more than welcome.  Knowledge of Italian is NOT a requirement.
* Knowledge of current neural network models, especially Word2Vec and Doc2Vec, and tools for neural networks (e.g. Tensorflow, Keras, PyTorch, etc.).
* Publications in top-tier venues in the field of Computational Linguistics.
* Experience in Ph.D. student supervision is a plus.
* Salary: 43,310.50 euros per annum

HOW TO APPLY  

The application must be sent to Faculty and Research Division of Bocconi University (addressing the Rector) just via email at recruiting_ricerca@unibocconi.it
You can find more information about the project and call here: https://bit.ly/2t1DnAO

== Postdocs: Johns Hopkins University ==

*Employer: Johns Hopkins University
*Title: Postdoctoral Researcher
*Location: Baltimore, MD
*Deadline: Applications will be accepted until positions are filled
*Date Posted: June 6, 2018
*Contact: clspsearch@clsp.jhu.edu
*URL: https://www.clsp.jhu.edu/employment-opportunities/

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

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

Example topics include:
* Cross-lingual Information Retrieval
* Trend Detection in Social Media
* Social Media and Mental Health
* Analysis of Clinical Medical Text
* Broadly Multilingual Learning of Morphology and Low-Resource Machine Translation
* NLP and Machine Learning for Clinical Data Analysis

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

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

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

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

Details and application information:
http://www.clsp.jhu.edu/employment-opportunities/

== Research Fellow in Software Engineering with a Focus on Natural Language Processing at University of Tartu, Estonia ==
* Employer: University of Tartu, Institute of Computer Science, [https://sep.cs.ut.ee/ Software Engineering group]
* Title: Research Fellow
* Speciality: Software engineering, machine learning, natural language processing
* Location: Tartu, Estonia
* Deadline: June 4, 2018
* Date posted: May 21, 2018
* Contact: Dietmar Pfahl, Kairit Sirts (<firstname>.<lastname>@ut.ee)

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

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

* open innovation,
* energy-efficient software development,
* software testing.

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

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

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

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

== Postdoctoral research positions in cybersecurity, natural language processing, and experimental social psychology at SUNY Albany ==
* Employer: University at Albany, Research Foundation of the State University of New York, [http://www.ils.albany.edu/ ILS Institute]
* Title: Postdoctoral researcher
* Speciality: Cybersecurity, natural language processing, machine learning, experimental design
* Location: Albany, New York, USA
* Deadline: July 31, 2018
* Date posted: May 18, 2018
* Contact: Tomek Strzalkowski (tomek {at} albany.edu)

'''Postdoctoral positions''' 

* ''The Personalized AutoNomous Agents Countering Social Engineering Attacks (PANACEA) Project.'' The PANACEA Project is a joint effort of communication and computer science faculty at the University at Albany, SUNY, as well as researchers at other institutions. The project aims to design, develop, and evaluate an automated system that will protect online users against current and future forms of social engineering attacks. The system will serve as an intermediary between attackers (human, automated, hybrid, coordinated) and the potential victims they target by addressing and eliminating human vulnerabilities in current cyber defense capabilities. The objectives of the project include detection and classification of social engineering attacks as well as active defenses, including engaging and identifying of the attackers.
* ''The Computational Ethnography from Metaphors and Polarized Language (COMETH) Project.'' The COMETH project is a joint effort of computer science and psychology faculty at the University at Albany. The project aims to develop and validate novel computational methodology for automatically acquiring cultural models that represent the worldviews of communities and subcultures operating within the larger society. These models will be obtained using advanced natural language processing and machine learning techniques on data from online media outlets produced by different communities. The objectives of this research include (a) capturing prevalent community attitudes (sentiment and beliefs) toward key concepts such as government, rights, economic inequality, etc.; (b) showing how these attitudes evolve over time, including in response to external influences (e.g., national or international events); and (c) explaining how this system of attitudes acts like an interpretive and defensive tool by allowing the community to reject or distort incoming information.

'''Requirements for the PANACEA position''' 
For the PANACEA project, we seek a postdoctoral researcher to join our interdisciplinary team. The candidate must have a Ph.D. in Computer Science from an accredited college or university that was granted within the last 3 years, and evidence of advanced scholarly research in a relevant field. This position starts September 1, 2018.
* The candidates are expected to have the following skills: in-depth knowledge of current issues and methods in cybersecurity, natural language processing, socio-behavioral computing, human-computer dialogue, statistical methods of data analysis, and machine learning. Familiarity with empirical method of data collection and model validation is preferred. Programming expertise is essential including substantial experience with Java, Python, and C++ programming environment, as well as with Windows, Linux and Unix platforms. Linguistic background and familiarity with methods of conversational analysis is a plus.

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

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

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

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

'''How to Apply''' 

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

== Two PhD positions in deep learning for natural language understanding and summarisation at Idiap, Switzerland ==
* Employer: Idiap Research Institute, [http://www.idiap.ch/en/scientific-research/natural-language-understanding Natural Language Understanding group]
* Title: Two PhD positions
* Speciality: Natural Language Understanding, Summarisation, Machine Learning
* Location: Martigny, Switzerland
* Deadline: May 31, 2018
* Date posted: April 30, 2018
* Contact: James Henderson (james.henderson@idiap.ch)

'''Two PhD positions'''

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

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

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

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

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

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

'''Idiap'''

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

== 2 postdoctoral research positions in text mining and natural language understanding at KU Leuven, Belgium ==
* Employer: KU Leuven, Department of Computer Science, [https://liir.cs.kuleuven.be/ Language Intelligence and Information Retrieval lab]
* Title: Postdoctoral researcher
* Speciality: Text mining, natural language understanding, machine learning
* Location: Leuven, Belgium
* Deadline: May 21, 2018
* Date posted: April 23, 2018
* Contact: Sien Moens (sien.moens {at} cs.kuleuven.be)

'''Postdoctoral positions''' 

* Postdoctoral position on the topic of multilingual text mining. The goal is to build interlingual representations that allow multilingual topic modelling, content classification (e.g., opinion and argumentation mining) and question answering. This postdoctoral position will be funded by the EU ITEA3 grant PAPUD and offers a contract for two years. The position will start as soon as possible.
* Postdoctoral position on the topic of multimodal representation learning. The goal is to learn continuous representations that represent language grounded in visual perception (static images and video), assist in the design of novel machine learning architectures, and investigate suitable data structures for real-time search of the representations. This postdoctoral position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS and offers a contract for two years (with the possibility of renewal for another two years). The position will start September 1, 2018.

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

The successful candidates will have an opportunity to work on cutting-edge natural language processing, multimedia processing and machine learning research. He/she will be given the opportunity for personal development beyond research, for example by contributing to departmental teaching at the undergraduate and graduate levels.
KU Leuven is an institution for research and education with international appeal. All programmes at this University are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!

== 2 PhD positions in natural language understanding at KU Leuven, Belgium ==
* Employer: KU Leuven, Department of Computer Science, [https://liir.cs.kuleuven.be/ Language Intelligence and Information Retrieval lab]
* Title: PhD researcher
* Speciality: Natural language understanding, machine learning
* Location: Leuven, Belgium
* Deadline: May 21, 2018
* Date posted: April 23, 2018
* Contact: Sien Moens (sien.moens {at} cs.kuleuven.be)

'''PhD positions''' 

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

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

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

The successful candidates will have an opportunity to work on cutting-edge natural language processing, multimedia processing and machine learning research. He/she will be given the opportunity for personal development beyond research, for example by contributing to departmental teaching at the undergraduate and graduate levels.
KU Leuven is an institution for research and education with international appeal. All programmes at this University are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!

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

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Associate Research Scientist
* Specialty: NLP, machine learning, text mining
* Location: Darmstadt
* Deadline: March 28, 2018
* Date posted: March 19, 2018
* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

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

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

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

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

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

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

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

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt]
* Title: Doctoral researcher
* Speciality: Natural Language Processing and Machine Learning
* Location: Darmstadt
* Deadline: April 3, 2018
* Date posted: March 19, 2018
* Contact: [https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/ AIPHES recruitment form]

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

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

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

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

'''Prerequisites'''

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

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

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

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

== Tenure track at IDSIA (Switzerland) in Natural Language Understanding and Text Mining ==
* Employer: IDSIA (www.idsia.ch)
* Title: Tenure track
* Specialty: Natural Language Understanding and Text Mining
* Location: Lugano, Switzerland
* Deadline: March 31th, 2018 (start date flexible)
* Date posted: March 16, 2018
* Contact email: Giorgio Corani (giorgio.corani@supsi.ch)

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

*Basic research, aiming at publications in highly rated journals and international conferences;
*Applied research, collaborating with industrial partners in cutting-edge projects.

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

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

'''Requirements''' 
*The position is for a young researcher who has already obtained a PhD on a topic relevant to Natural Language Processing and/or Text Mining;
*Master in informatics or other areas with strong emphasis on computation;
*Excellent programming skills and deep knowledge of libraries for natural language processing;
*Communication and collaboration skills.
*Proficiency in written and spoken in English.

'''Optional but preferential''' 

*Strong publications record;
*Capability of leading projects carried out with industrial partners on automatic analysis of documents;
*Good knowledge of machine learning algorithms and tools;
*Good knowledge of written and spoken Italian, or willingness to learn it in short times.

'''We offer''' 

*A tenure track position (degree of occupancy 100%)
*International working environment;
*Collaboration with a strong team of researchers in Machine Learning and Statistics (our publication record is available at: [http://ipg.idsia.ch]);
*Salary starting from 80,000 CHF / year (about 84,000 $/year)

'''Application''' 
Applicants should submit the following documents, written in English:

*curriculum vitae
*list of exams and grades obtained during the Bachelor and the Master of Science;
*list of three references (with e-mail addresses);
*brief statement on how their research interests fit the topics above (1-2 pages);
*publications list and possibly link to the thesis.

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

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

* Employer: University of Pennsylvania
* Title: Postdoctoral Researcher
* Specialty: Computational Linguistics
* Location: Philadelphia, Pennsylvania
* Deadline: March 20th, 2018 (start date flexible)
* Date posted: February 27, 2018
* Contact email: Sudeep Bhatia (bhatiasu@sas.upenn.edu)

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

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

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

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

== Postdoctoral Research Scientist: Computational Linguistics - Rochester Institute of Technology ==
* Employer: Rochester Institute of Technology
* Title: Postdoctoral Research Scientist
* Specialty: Postdoctoral Research Scientist: Computational Linguistics
* Location: Rochester, New York, United States
* Deadline: Open until filled
* Date posted: February 17, 2018
* Contact: Cecilia O. Alm ([mailto:coagla@rit.edu coagla@rit.edu])
* [https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25483&siteid=5289#jobDetails=1404561_5289 Job listing]

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

'''Required Minimum Qualifications:''' 
* PhD., with training in Computational Linguistics, Linguistics, or an allied field
* Advanced graduate coursework in computational linguistics (natural language processing or speech processing), linguistics, or language science broadly
* Publication record and plan for research and grant seeking activities
* Ability to contribute in meaningful ways to our commitment to cultural diversity, pluralism, and individual differences

'''Required Application Documents:''' 
Cover Letter, Curriculum Vitae or Resume, List of References, Research Statement

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

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

* Employer: University of Michigan
* Title: Research Fellow
* Specialty: Postdoctoral Research Fellow: Automated Text Analysis
* Location: Ann Arbor, Michigan, United States
* Deadline: March 12, 2018, desired start June 2018
* Date posted: February 12, 2018
* [http://careers.umich.edu/job_detail/153763/postdoctoral_research_fellow_automated_text_analysis Official Job Listing - Application Page]

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

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

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

'''Responsibilities'''
* Retrieve and create corpora for NLP and associated linguistic analysis
* Develop and test systems for identifying students who appear to lack key concepts as defined by lexical and grammatical structures, discourse analysis, and possible sentiment analysis
* Design a data warehouse that will facilitate the ability to collect, manage, and archive data including student interviews, student surveys, student writing samples, and academic and demographic data for students in order to conduct research leading to peer-reviewed publications, and future external funding
* In collaboration with other project staff collect, manage, and archive data including student interviews, student surveys, student writing samples, and academic and demographic data for students in order to conduct research that could lead to peer-reviewed publications
* Organize, synthesize, and analyze project data, and write co-authored papers with project PIs for peer-reviewed articles

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

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

'''U-M EEO/AA Statement''' 
The University of Michigan is an equal opportunity/affirmative action employer.

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

* Employer: University of Colorado Boulder
* Title: Postdoctoral Associate
* Specialty: Machine Learning, Speech and Language Processing
* Location: Boulder, Colorado, United States
* Deadline: Ongoing, desired start August 2018
* Date posted: February 9, 2018
* Contact: [mailto:sidney.dmello@colorado.edu Dr. Sidney D’Mello]

'''Postdoc in Machine Learning with an Emphasis on Speech and Language Processing''' 
(Department of Computer Science and Institute of Cognitive Science at the University of Colorado Boulder)

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

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

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

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

'''Required'''
* Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire
* Research experience in advanced machine learning (e.g., deep learning, probabilistic graphical models)
* Evidence of a strong publication record in the aforementioned areas

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

'''Job Details'''
* One year initial position with possible extension to a second and third year based on performance and availability of funds
* Desired start date is August 2018. However, start date is negotiable
* Competitive salary with benefits commensurate with qualifications

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

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

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

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

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

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

== Full-time Researchers, IBM Research - Almaden ==
* Employer: [http://research.ibm.com/labs/almaden/index.shtml IBM Research - Almaden]
* Title: Research Staff Member
* Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas
* Location: San Jose, California, USA
* Deadline: June 1, 2018
* Date posted: January 31, 2018
* Contact: Yunyao Li (yunyaoli {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)

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

Such a platform needs to support the entire life cycle for knowledge engineering including:
* Creation, maintenance and evolution of domain schema to capture domain concepts of interest
* Scalable systems, tools and methodologies to support the development of individual analytic stages involved in creating knowledge from multiple sources, including text analytics, entity resolution and integration, cleansing, data transformations and machine learning
* Domain adaptability and easy-to-use interfaces for key user personae for the individual analytic stages
* Scalable content services infrastructure that enables production-level deployment of these analytic workflows with support for continuous monitoring, introspection and recovery in the knowledge base creation process
* Techniques and methods for scalable and flexible indexing and querying support over the knowledge base supporting structured and search style queries, entity queries, as well as ad-hoc and exploratory queries
* Easy-to-use knowledge consumption interfaces for both human and machine consumption including support for discovery and ad-hoc NLQ driven interfaces
* Incorporating crowd sourcing and continuous evolution of the system through learning from user interactions

The research builds upon and extends successful projects from our group, which have resulted in significant academic, industrial and open source impact.
* SystemT: http://researcher.watson.ibm.com/researcher/view_group.php?id=1264
* Midas: http://researcher.watson.ibm.com/researcher/view_group.php?id=2171
* SystemML: http://researcher.watson.ibm.com/researcher/view_group.php?id=3174

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

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

'''Required'''
* Bachelor's degree or equivalent in Computer Science, related technical field or equivalent practical experience.
* Programming experience in one or more of the following: Java, C, C++ and/or Python.
* Experience in Natural Language Processing, Computational Linguistics, Machine Learning, Large-Scale Data Management, Data Mining or Artificial Intelligence
* Contribution to research communities and/or efforts, including publishing papers at conferences such as ACL, EMNLP, NIPS, AAAI, ICML, SIGMOD, VLDB, and KDD.

'''Preferred'''
* PhD in Computer Science, related technical field or equivalent practical experience.
* Relevant work experience, including experience working within the industry or as a researcher in a lab.
* Ability to design and execute on research agenda.
* Strong publication record.

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

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] or [http://www.cl.uni-heidelberg.de/ Ruprecht Karls University Heidelberg], Germany
* Title: Doctoral researcher
* Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas
* Location: Darmstadt or Heidelberg
* Deadline: February 11, 2018
* Date posted: January 21, 2018
* Contact: [https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/ AIPHES recruitment form]

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

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

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

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

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

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

'''Prerequisites'''

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

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

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

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

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

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

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Associate Research Scientist
* Specialty: Interactive text analysis
* Location: Darmstadt
* Deadline: February 16, 2018
* Date posted: January 21, 2018
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]

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

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

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

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

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

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

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

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

User:Aolney

2020-03-05T22:17:24Z

Aolney:

Andrew M. Olney presently serves as Professor in both the Institute for Intelligent Systems and Department of Psychology at the University of Memphis. Dr. Olney received a B.A. in Linguistics with Cognitive Science from University College London in 1998, an M.S. in Evolutionary and Adaptive Systems from the University of Sussex in 2001, and a Ph.D. in Computer Science from the University of Memphis in 2006. His primary research interests are in natural language interfaces. Specific interests include vector space models, dialogue systems, unsupervised grammar induction, robotics, and intelligent tutoring systems.

Employment opportunities, postdoctoral positions, summer jobs

2018-11-28T19:15:42Z

Aolney: /* Assistant Professor Position at The University of Memphis */

Employment opportunities, postdoctoral positions, summer jobs

2018-11-28T19:15:06Z

Aolney:

Employment opportunities, postdoctoral positions, summer jobs

2015-02-17T02:09:14Z

Aolney:

* '''[[Instructions for Posting Job Ads]]'''
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
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== Postdoc in Advanced Machine Learning (with an Emphasis on NLP) ==

*Employer: University of Notre Dame
*Job Number: 4015639
*Date Posted: 02/17/2015
*Application Deadline: Open Until Filled
*Online application: http://www.postdocjobs.com/jobs/jobdetail.php?jobid=4015639

'''Job Description'''

The Computer Science Department at the University of Notre Dame in collaboration with the Institute for Intelligent Systems at the University of Memphis anticipates hiring a postdoctoral fellow starting as early as April 1st 2015 for one year and renewable for a second year. The position includes a full time salary and benefits and is jointly funded by sponsored research split between the University of Notre Dame and the University of Memphis. Review of applications will start immediately and continue until the position is filled.

The successful candidate will conduct research in machine learning applied to dialog-centered natural language understanding. He/she will participate in the development and application of machine learning techniques in the hierarchical and temporal domains to multi-party speech data collected in authentic educational contexts.

The candidate will work under the supervision of Dr. Sidney D’Mello, who has joint appointments in the Departments of Computer Science and Psychology at Notre Dame, and Dr. Andrew Olney in the Institute for Intelligent Systems at the University of Memphis.

The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within a multi-department multi-institution grant-funded project. The postdoc will be encouraged to build advanced technical skills, strengthen their research portfolios via peer-reviewed publications, develop leadership skills by mentoring students, and gain expertise in authoring collaborative grant proposals.

'''Required'''

(1) Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire; (2) Research experience in advanced machine learning techniques for sequential and hierarchical domains (e.g., probabilistic graphical models, sequence tagging, deep learning) ; (3) Evidence of a strong publication record in the aforementioned areas

'''Desired'''

(1) Research experience in one or more of the following research areas (acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling) ; (2) Experience working on interdisciplinary projects and/or on educational research; (3) Experience mentoring graduate and undergraduate students

For more information see the application link above.

== Software Engineer/NLG Specialist in Sydney, Aus - Natural Lanaguage Generation==
*Employer: Macquarie Group
*Title: Software Engineer/NLG Specialist
*Specialties: Natural Language Generation, Application Development, Linguistics
*Location: Sydney, Australia
*Date posted: 29 January 2015
*Contact information: andy.logan@macquarie.com
*Online application: http://www.careers.macquarie.com/cw/en/job/923649/software-engineers-nlpnlg-programming-equities-research

'''Job Description'''
*Unique opportunity within the Equities Research space for a Engineer with strong NLG experience
*New Systems Implementation with Opportunity to push the envelope within Research
*Permanent Opportunity – Sydney CBD Location

'''About the role'''

We are seeking a Software Engineer to join our Equities Research business team. This is a truly unique opportunity for someone to join Macquarie working on a pioneering project within the business which could be a big game changer. The role will utilise your strong NLG/NLP experience and you will be responsible for building and developing the NLG functionality within the team. If you are interested in gaining commercial experience with NLG, have excellent written communications and have a flair for English grammar, have a passion for finance and in particular Equities Trading and want the opportunity to really pioneer something, then this could be the position for you.

'''Key Responsibilities'''
*Design and Develop our first NLG/NLP Application within Equities Research
*Work closely with the vendor to understand the application limitations and functionality
*Drive the development with the Head of Research as well as industry analysts
*Mature the offering and look for further areas of development within the business

'''About You'''

To be successful in this role as a Software Engineer you will possess a University Degree in Computer Science/Mathematics and would have probably undertaken further studies of some sort (Masters/PhD) and have previous Natural Language Generation/Processing experience in either a commercial or research environment. You will have a passion and flair for the English Language as well as having a interest in financial services and in particular traded products. Previous OO Development experience would be highly regarded. In addition you will possess the following:

*Tenacity to produce different If Statements and to develop the platform further
*Strong interest in Artificial Intelligence/Machine Based Learning.
*Keen interest in finance
*Self Starter and strong attention to detail to really drive uptake of the platform

This is a unique opportunity within Macquarie and quite possibly a pioneering project within the Investment Banking space. We are looking to hire two developers into the team and are flexible across career levels from recent Grads to Senior Engineers. Here at Macquarie we truly believe in you owning your future, at Macquarie you’ll own it. Find out more at the new Careers website: '''macquarie.com/career'''

If you meet the above requirements, please apply via the following link. Alternatively to find out more about the position and a confidential discussion, please contact '''Andy Logan on 02 8237 8472 or andy.logan@macquarie.com'''

== PostDoc Position in Heidelberg (NLP, Networks, Databases, Machine Learning)==
*Employer: Heidelberg Institute for Theoretical Studies gGmbH (HITS)
*Title: PostDoc
*Specialties: Natural Language Processing, Networks, Databases, Machine Learning
*Location: Heidelberg, Germany
*Deadline: 20 February 2015
*Date posted: 29 January 2015
*Contact information: michael.strube (at) h-its.org
*Online application: https://application.h-its.org/intern/register.php?id=o51kdq1

'''Job Description'''
PostDoc position available in the NLP group at the Heidelberg Institute for Theoretical Studies (HITS) in Heidelberg, Germany

One position is available for a PostDoc working in Natural Language Processing, in particular in the areas of Entity Linking, Cross-document Coreference Resolution, Coreference Resolution, Word Sense Disambiguation. The position is within a newly funded project on "Scalable Author Name Disambiguation in Bibliographic Databases". Project partners are DBLP (http://dblp.org/db/) and zbMATH (https://zbmath.org/), the two leading bibliographic databases in computer science and mathematics which will also supply the data to be disambiguated and the gold standard. The project will be funded for three years starting June 1st, 2015.

The candidate should have a strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science. Experience with machine learning, databases, parallel programming, big data and networks as well as strong programming skills are required.

HITS gGmbH is a private non-profit research institute carrying out multidisciplinary research in the computational sciences. It receives its base funding from the HITS Stiftung.

The NLP group (http://www.h-its.org/en/research/nlp/) at HITS is an interdisciplinary research group that works on applications in the area of discourse and dialogue, in particular coreference resolution, entity linking, automatic summarization, and knowledge extraction from semistructured input. The NLP group at HITS works closely together with the Computational Linguistics Department at the University of Heidelberg.

To apply, please enter your application via the following link: https://application.h-its.org/intern/register.php?id=o51kdq1 (reference Postdoc NLP HITS-01-2015)

Applications must be submitted by February 20, 2015. Please note that applications not submitted via the online system will not be considered. Inquiries about the position can be directed at Michael Strube (michael.strube (at) h-its.org).

==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

2013-12-06T20:47:16Z

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== Postdoc in Automatic Speech Recognition and Dialog-Centered Natural Language Understanding ==

* Employer: University of Notre Dame
* Rank or Title: Postdoctoral Researcher
* Specialty: Speech recognition, Dialogue, Natural Language Understanding
* Location: South Bend, Indiana
* Deadline: Open until filled
* Date Posted: Dec 6, 2013
* Contact email: aolney at memphis.edu

'''Brief Job Description:'''

The successful candidate will conduct research in automatic speech recognition and dialog-centered natural language understanding. He/she will participate in the design, development, and exploration of innovative methods, algorithms and techniques that bridge acoustic/language modeling and dialogue-focused natural language understanding on real-world, multi-party speech data collected in educational contexts.

The position is for two years (providing renewal based on Year 1 performance) starting as early as February 1, 2014. Possible extension to a third year based on availability of funds. Start date is negotiable.
Competitive salary with benefits commensurate with qualifications.

'''Required Qualifications:'''

* Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field
* Research experience in one or more of the following research areas (automatic speech recognition, natural language understanding, or related area of natural language processing)
* A solid publication track record in one or more of the aforementioned areas
* Ability to work both individually and as a member of an interdisciplinary team
* Ability to mentor graduate and undergraduate students

'''How to Apply:'''

Applicants should email (1) cover letter, (2) current CV, and (3) name, title, and contact information of three references to Kristopher Kopp (kristopherkopp at gmail.com). Inquires may be addressed to Sidney D’Mello (sdmello at nd.edu) and Andrew Olney (aolney at memphis.edu).

'''About Us:'''

Further information on the Computer Science department can be found at http://cse.nd.edu/.

== TTS Language Engineer - Indonesian, Employment Agency contracting for Google, London, UK ==

* Employer: Employment agency contracting for Google
* Rank or Title: TTS Language Engineer - Indonesian
* Specialty: TTS, Computational Linguistics
* Location: London, UK
* Deadline: Open until filled
* Date Posted: November 21, 2013
* Contact email: tts_jobs at google.com

'''Brief Job Description:'''

You will be helping with technical tasks involved in creating a speech
synthesiser. This includes:

1. Developing rules for a text normalisation system;
2. Large scale data mining;
3. Customising language building tools for Indonesian.
4. TTS quality evaluation

'''Preferred Qualifications:'''

1. Recent CS or Computational Linguistics graduate or closely related
discipline
2. Native-level speaker of Indonesian and fluent in English:
3. Proficiency in Unix/Python/C++
4. Interest in data mining and natural language processing a plus

'''How to Apply:'''

This is an opportunity to work on cutting edge technology in a dynamic team
of world-class experts. This is a temporary position for 9 months, with a
possibility of extension. The position is based in London.

For immediate consideration please send your CV and Cover Letter to tts_jobs at google.com

For more information, please contact tts_jobs at google.com

== Postdoctoral Fellow, Bioinformatics Technology Lab, BC Genome Sciences Centre ==

* Employer: British Columbia Cancer Agency
* Rank or Title: Postdoctoral Fellow
* Specialty: natural language processing, machine learning
* Location: Vancouver, BC, Canada
* Deadline: Open until filled
* Date Posted: November 18, 2013
* Contact email: bcgscjobs@bcgsc.ca

'''Brief Job Description:'''

The Genome Sciences Centre is seeking a Postdoctoral Fellow for the Bioinformatics Technology Lab to conduct scientific research in the areas of bioinformatics and genomics, specifically related to automated analysis and annotation of cancer research literature.

The successful applicant will work with trainees and research scientists in a team that develops tools for a clinical genomics pipeline based on primary sequence analysis, to build machine learning tools that interpret identified mutations for their biological significance as they relate to reports in the relevant literature.

'''Duties:'''

Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your typical duties will include the following:

• Building machine learning tools for automated literature survey

• Analysis and annotation of data from genome and transcriptome sequencing projects

• Collaborating with biologists and clinical researchers on the accuracy of the results

• Reporting research methods and results in meetings, seminars and conferences

• Contribution to and leading scientific publications and research proposals

Work may also involve travel to the research and development labs of a US corporation, not to exceed three months a year.

'''Required Qualifications:'''

The ideal candidate should possess a PhD degree and recent proven experience in bioinformatics or computer science. A strong publication record in the field, and demonstrated technical writing skills are highly desirable.

'''How to Apply:'''

Please send your resume with cover letter to bcgscjobs@bcgsc.ca

We request that you specify the position you are applying for by identifying the Job Code only ("PDFBTL 13-11-01") in the subject line of your emailed application.

All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.

'''About Us:'''

Genome Sciences Centre is a leading international institution for genomics and bioinformatics research. Our mandate is to advance knowledge about cancer and other diseases, to improve human health through disease prevention, diagnosis and therapeutic approaches, and to realize the social and economic benefits of genomics research.

For more information, please visit www.bcgsc.ca

== Graduate Studentship, Bioinformatics Technology Lab, BC Genome Sciences Centre ==

* Employer: British Columbia Cancer Agency
* Rank or Title: Graduate Student
* Specialty: natural language processing, machine learning
* Location: Vancouver, BC, Canada
* Deadline: Open until filled
* Date Posted: November 18, 2013
* Contact email: ibirol@bcgsc.ca

'''Brief Description:'''

Bioinformatics Technology Lab at the Genome Sciences Centre is seeking graduate students at the Masters and PhD levels.
Under the supervision of Dr. Inanc Birol, students will work with other trainees and research scientists in a group environment to develop cutting-edge bioinformatics technologies for high throughput sequence analysis, de novo assembly, clinical genomics, big data visualization, and automated literature search and interpretation.

'''Required Qualifications:'''

If you have any combination of the following skills, and a passion to apply them at a state-of-the-art genome centre, we would be interested in you.

• Sophisticated programming skills (C++ and Python preferred)

• Parallel computation expertise (MPI or MP)

• Strong natural language processing background (familiarity with argumentation frameworks an asset)

• Experience with de novo assembly tools (ABySS and Trans-ABySS preferred)

• Graph theory background

• Database development and administration experience (PostgreSQL or MySQL)

'''How to Apply:'''

Please send your cover letter, CV and transcripts to ibirol@bcgsc.ca

Successful students will be registered at either CIHR’s Bioinformatics Training Program or Medical Genetics Graduate Program at the University of British Columbia.

'''About Us:'''

Genome Sciences Centre is a leading international institution for genomics and bioinformatics research. Our mandate is to advance knowledge about cancer and other diseases, to improve human health through disease prevention, diagnosis and therapeutic approaches, and to realize the social and economic benefits of genomics research.

For more information, please visit www.bcgsc.ca

== Postdoc job available in neural decoding of language, University of Rochester ==

* Employer: University of Rochester
* Rank or Title: Postdoctoral Research Fellow
* Specialty: Models of semantic composition, semantic similarity, machine learning
* Location: Rochester, NY, USA
* Deadline: Open until filled
* Date Posted: November 7, 2013
* Contact email: rajeev dot raizada at gmail dot com

'''Brief Job Description:'''

A postdoctoral position is available in the Department of Brain & Cognitive Sciences at the University of Rochester in the lab of Rajeev Raizada (http://raizadalab.org).

The position will concentrate on the neural decoding of language, in particular the semantic representation of words embedded in sentences. Experience in some or all of the following areas would be ideal: computational linguistics (especially models of the semantic composition of multiple words into phrases and sentences), natural language processing, multivoxel pattern-based fMRI analysis, machine learning (especially kernels or similarity-based approaches). Experience with Matlab or some other scientific programming language (e.g. SciPy, R) is required.

'''Required Qualifications:'''

Applicants must have a PhD in linguistics, psychology, computer science, neuroscience or a related field. Salary will be on the standard NIH postdoc payscale. The position is available immediately and has funding for a two year period, although it could potentially be extended beyond that time if mutually agreed and if additional funding is obtained.

'''How to apply:'''

To apply, please send a description of your research interests, a CV, the names of three referees, and weblinks to representative publications to rajeev dot raizada at gmail dot com. Large files such as PDFs of papers should be sent as weblinks (e.g. to your publications webpage, or using Dropbox) rather than as e.mail attachments. Interviews can be conducted via Skype.

'''Information about the university and the department'''

The Department of Brain & Cognitive Sciences at the University of Rochester (http://www.bcs.rochester.edu) has a strong focus on computational and statistical studies of neural representations, and has researchers working in language, vision, computation, development and neuroimaging. The Rochester Center for Brain Imaging (http://rcbi.rochester.edu) has a research-dedicated 3T Siemens Trio scanner.

== Post-doctoral Research Fellow - Nanyang Technological University, Singapore ==

* Employer: Nanyang Technological University
* Rank or Title: Post-doctoral Research Fellow
* Specialty: Natural Language Processing, Semantic Web
* Location: Singapore
* Deadline: Will be open until filled
* Date Posted: November 2, 2013
* Contact email: jungjae.kim@ntu.edu.sg

'''Brief Job Description:'''

The Natural Language Processing group in the School of Computer Engineering, Nanyang Technological University, Singapore has an opening for a post-doctoral researcher in the areas of ontology engineering and text mining, funded by Rolls-Royce@NTU Corporate Laboratory.

The position involves applying scientific, technical and software engineering skills to conduct research on ontology learning, ontological annotation on informal text, and semantic indexing and search and the development of prototypes demonstrating the successful application of the research.

'''Required Qualifications:'''

A Ph. D. in Computational Linguistics, Computer Science, or a related discipline with specialization in text mining and/or ontology engineering. Independent research experiences and experiences in developing and deploying text mining and/or ontology engineering technology capabilities in an academic or industrial environment are expected.

'''How to apply:'''

Please send a copy of your resume, along with a cover letter, to Jung-jae Kim <jungjae.kim@ntu.edu.sg>

== Assistant Professor Position - Computational Linguistics/Language Science - Rochester Institute of Technology ==

* Employer: Rochester Institute of Technology
* Rank or Title: Assistant Professor
* Specialty: Computational Linguistics/Language Science
* Location: Rochester, NY, USA
* Deadline: Review of applications will begin on November 25, 2013
* Date Posted: October 11, 2013
* Contact email: coagla@rit.edu

'''Brief Job Description:'''

The Department of English at the Rochester Institute of Technology invites applications for an Assistant Professor of English tenure-track position to begin August 13, 2014 with specialization in computational linguistics and/or innovative technical methods in language science, with a focus on one or more areas of application. Possible areas include:

* Cultural or social analytics
* Speech technology
* Human-computer communication
* Clinical, assistive, and/or access technology
* Cognitive modeling of linguistic processes (for example reading)
* Games and/or social media

The applicant should demonstrate a fit with our commitment to collaborate with colleagues across the university on curricular and research initiatives in digital humanities and language science.

'''Detailed Job Description:'''

The successful applicant will be a teacher and a researcher with an agenda that emphasizes innovative technical methods in linguistics, for instance natural language processing, corpus-based studies, linguistic/multimodal sensors, speech technology, and/or other computational approaches. We are seeking a scholar who engages in disciplinary and interdisciplinary teamwork and has a coherent plan for grant seeking activities. The right candidate will contribute to our department’s profile in the digital humanities, in addition to furthering our interdisciplinary language science curriculum in a college of liberal arts at a technical university. Contributions that build students’ global education experiences are additionally valued.

Teaching assignments may include Introduction to Language Science, Language Technology, Introduction to Natural Language Processing, Advanced Topics in Computational Linguistics, Language & Brain, self-designed courses, and other courses in the linguistics or general education frameworks such as Dialects & Identity, Text & Code, or Evolving English Language. The course teaching load is 3/2.

We are seeking an individual who has the ability and interest in contributing to a community committed to Student Centeredness; Professional Development and Scholarship; Integrity and Ethics; Respect, Diversity and Pluralism; Innovation and Flexibility; and Teamwork and Collaboration. Select to view links to RIT’s [http://www.rit.edu/~w-policy/sectionA/corevalues.html core values], [http://www.rit.edu/studentaffairs/studentconduct/RITHonorCode1.htm honor code], and [http://finweb.rit.edu/humanresources/diversity/commitment.html diversity commitment].

'''The University and Rochester Community:'''

RIT is a national leader in professional and career-oriented education. Talented, ambitious, and creative students of all cultures and backgrounds from all 50 states and more than 100 countries have chosen to attend RIT. Founded in 1829, Rochester Institute of Technology is a privately endowed, coeducational university with nine colleges and institutes emphasizing career education and experiential learning. With approximately 15,000 undergraduates and 3,000 graduate students, RIT is one of the largest private universities in the nation. RIT offers a rich array of degree programs in engineering, science, business, and the arts, and is home to the National Technical Institute for the Deaf. RIT has been honored by ''The Chronicle of Higher Education'' as a "Great Colleges to Work For" for four years. RIT is responsive to the needs of dual career couples by our membership in the [http://www.upstatenyherc.org/home/index.cfm?site_id=671 Upstate NY HERC].

Rochester, located on Lake Ontario, is the 79th largest city in the United States and the third largest city in New York State. The Greater Rochester region, which is home to nearly one million people, is rich in cultural and ethnic diversity, with a population comprised of approximately 16% African and Latin Americans and another 7% of international origin. It is also home to the largest deaf community per capita in the U.S. Rochester ranks 3rd best metropolitan regions for Raising a Family" by ''Forbes Magazine''; 6th among 379 metropolitan areas as "Best Places to Live in America" by ''Places Rated Almanac''; 1st in ''Expansion Management Magazine''’s ranking of metropolitan areas having the best “Quality of Life in the Nation”; and is among ''Essence Magazine''’s "Top 10 Cities for Black Families."

'''Required Minimum Qualifications:'''

* Ph.D. in Linguistics (or an allied field) in hand prior to appointment date
* Advanced graduate coursework in language science and technical methods
* Evidence of outstanding teaching
* Experience teaching or mentoring diverse or multi-disciplinary students
* Evidence of publication and a coherent plan for research and grant seeking activities
* Ability to contribute in meaningful ways to the college’s continuing commitment to cultural diversity, pluralism, and individual differences.

'''How to Apply:'''

Apply online at [http://careers.rit.edu/faculty http://careers.rit.edu/faculty]. Search: 797BR. Please submit your cover letter; CV; copy of transcripts of graduate coursework; a research statement; a teaching statement; writing sample/portfolio; [https://www.rit.edu/academicaffairs/facultyrecruitment/forms/Diversity_Statement_Guide_for_candidates_4-12.docx Contribution to Diversity Statement]; and the names, addresses and phone numbers for three references.

'''Contact:'''

Please direct questions to Dr. Cecilia Ovesdotter Alm at: <coagla@rit.edu> or (585) 475-7327.

'''Application Deadline:'''

Review of applications will begin on: November 25, 2013.

== Assistant/Associate Professor Position - University of Illinois at Urbana-Champaign, Department of Linguistics (Urbana, IL)==

* Employer: University of Illinois at Urbana-Champaign
* Title: Tenure-track Assistant Professor / Tenured Associate Professor
* Location: Urbana, IL, USA
* Specialty: Computational Linguistics /Natural Language Processing, Machine Translation
* Deadline: December 15, 2013
* Date Posted: October 6, 2013
* Contact email: SLCL-HR@illinois.edu

The Department of Linguistics in partnership with the Center for Translation Studies at the University of Illinois at Urbana-Champaign invites applications for a full-time tenure-track assistant professor or tenured associate professor position in Computational Linguistics (CL) or Natural Language Processing (NLP) with a research specialization in Machine Translation.

A PhD, preferably in Linguistics, Computer Science, or related field with a strong background in computational linguistics / natural language processing, is required by the time of the appointment. Applicants should demonstrate an interest in translation as a cognitive process. The ideal candidate will complement and build on existing strengths within the department of Linguistics and the Center for Translation Studies, and will be eager to interact with students and faculty from the broader linguistics and language processing communities at the University of Illinois.

A successful candidate at the associate level will present an established record of scholarly publications, grants and awards, and demonstrated excellence in teaching and student mentoring at the undergraduate and graduate levels.

Evidence of an active research agenda and a strong commitment to innovative teaching in an interdisciplinary context is expected at the assistant professor level.

The target starting date is August 16, 2014. Salary will be commensurate with qualifications.

Our setting provides rich opportunities for interdisciplinary research and teaching, supported by our renowned libraries, the UIUC Research Board, and the interdisciplinary research communities in facilities such as the Beckman Institute for Advanced Science and Technology.

The Computational Linguistics program in the Department of Linguistics encompasses theoretical and applied areas of scholarship, relating computational methods and analysis to the study of grammatical systems, linguistic meaning, and to language as a social and cognitive phenomenon. Computational Linguistics research in the department spans a range of key applications in human language technology, including machine translation, semantic and discourse processing, and applications in information extraction and social media. The program has strong ties to industry and to other Illinois departments that are home to computer scientists, engineers, linguists, library scientists, psychologists and speech & hearing scientists. The Linguistics department offers a joint undergraduate major in Computer Science and Linguistics.

The Center for Translation Studies focuses on preparing students in the new MA program in Translation and Interpreting for a rapidly diversifying translation job market, one which requires strong technology as well as language skills. Translation lies at the intersection of many converging themes, such as multilingualism, multiculturalism, literatures and linguistics, as well as technology and pedagogy, and fits squarely within the campus-wide theme of social equality and cultural understanding.

To apply, create your candidate profile through http://jobs.illinois.edu and upload application material through this system. To ensure full consideration, submit a cover letter, a curriculum vitae, a statement of research and teaching interests, and the contact information for three professional references. The search committee may contact the applicant about soliciting letters of reference at a later point, after a first review of the files. Only applications submitted through the University of Illinois Job Board will be considered. To ensure full consideration applications must be received by December 15, 2013.

For further information regarding application procedures, please contact SLCL-HR@illinois.edu.

The University of Illinois is an Affirmative Action /Equal Opportunity Employer and welcomes individuals with diverse backgrounds, experiences, and ideas who embrace and value diversity and inclusivity. ( www.inclusiveillinois.illinois.edu)

==Tenure-Line Position - Northwestern University Department of Linguistics (Evanston, IL)==

* Employer: Northwestern University
* Title: Tenure-line Assistant Professor (more senior candidates will be considered)
* Location: Evanston, IL, USA
* Deadline: December 1, 2013
* Date Posted: October 2, 2013
* Contact email: search@ling.northwestern.edu

The Department of Linguistics at Northwestern University seeks to fill a tenure-line Assistant Professor position with a start date of September 1, 2014. We are looking for candidates who will enhance Northwestern’s interdisciplinary language science research community. The ideal candidate will have a research program grounded in computational linguistics, psycholinguistics, and/or language variation and change. Although we expect to hire at the rank of assistant professor, more senior candidates will also be considered.

Candidates must hold a Ph.D. in Linguistics, Psychology, Cognitive Science, Computer Science, or a related field by the start date. To receive fullest consideration, applications should arrive by December 1, 2013. 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). Please visit http://www.linguistics.northwestern.edu/ for instructions to apply online.

E-mail inquiries should be directed to search@ling.northwestern.edu. Northwestern University is an Equal Opportunity/ Affirmative Action Employer. Applications from minority and women candidates are especially welcome.

==Postdoctoral Research Scientist - Illinois Institute of Technology Department of Computer Science (Chicago, IL)==

* Employer: Illinois Institute of Technology
* Title: Postdoctoral Research Scientist
* Specialty: Computational Linguistics, Natural Language Processing, Computational Stylistics
* Location: Chicago, IL, USA
* Deadline: Applications accepted until position is filled
* Date Posted: September 30, 2013
* Contact email: argamon@iit.edu

'''Position Overview'''

The Linguistic Cognition Laboratory (http://lingcog.iit.edu) at the Illinois Institute of Technology has an opening for a postdoctoral researcher (full-time) in natural language processing. The position is for work on a federally funded project on computational analysis of discourse structure and metaphor and their relationships to cognitive style and ideology. The ideal candidate will have expertise in several of the following areas: natural language processing, semantic text analysis, computational stylistics, discourse analysis, statistical parsing, social network analysis, and machine learning.

Candidates should have a PhD in computer science, computational linguistics, cognitive science, or a related discipline and must be US citizens. The position will start as soon as it is filled, pending confirmation of funding. The initial term of the position will be for 12 months, potentially renewable to a total of 36 months depending on performance and continued funding. Salary will be commensurate with experience and expertise.

'''To Apply'''

Interested candidates should contact Shlomo Argamon at argamon@iit.edu and send a (PDF) CV, a statement of interest, and the names of two or more references.

==NLP Research Scientist - Nuance Communications, Inc. (Sunnyvale, CA Research Group)==

* Employer: Nuance Communications, Inc.
* Rank or Title: NLP Research Scientist
* Specialty: Computational Linguistics, Natural Language Processing, Dialog Systems
* Location: Sunnyvale, CA, USA
* Deadline: Applications accepted until position is filled
* Date Posted: September 27, 2013
* Contact email: Jennifer.Garvale@nuance.com

'''General Description'''

Nuance is the world-wide leader in voice technologies. We are now making substantial research and development investments to add natural language processing capabilities to our speech infrastructure. We are expanding our new Silicon Valley Natural Language Research laboratory. The goal of this group is to develop the next generation of intelligent, conversational agents. We seek research scientists with the following backgrounds:

* Dialog processing
* Discourse and anaphora resolution
* Generation
* Parsing
* Entity recognition
* Morphology
* Multilingual NLP
* Semantic interpretation

'''Responsibilities'''

* Ownership of a major component of the conversational system.
* Conduct research on the dialog, generation, or reasoning components, and incorporate the latest advances from major conferences in the field.
* Adapt existing components within Nuance and from previous research in the field to a new problem space and domain.
* Understand the trade-offs between multiple competing approaches, and choose the ones that are likely to have future impact on the company's products.
* Design components in a way that will generalize across domains. Minimize the code change and human effort needed for the system to work in a new domain.
* Collaborate with other scientists and engineers inside and outside of the team.
* Patent or publish experimental results or designs when appropriate.

'''Education/Experience'''
* Ph.D. in computer science, computational linguistics, linguistics, or another technical field with a focus on natural language processing.
* Solid track record in both projects and publications for natural language processing.
* Solid implementation skills in C++, Java, scripting languages.
* Knowledge of both statistical and rule-based methods for natural language processing.

Interested candidates should contact Jennifer Garvale at Jennifer.Garvale@nuance.com. For additional information about the technical aspects of the position, feel free to contact Joel Tetreault at Joel.Tetreault@nuance.com.

== Short Term Post-Doc Position: Natural Language Processing (NLP), Phoenix, USA==

Employer: Arizona State University, Tempe, AZ http://csc.asu.edu/
* Rank or Title: Postdoctoral fellow
* Specialty: Natural language processing and machine learning
* Location: Tempe, AZ, USA
* Deadline: August 21, 2013
* Date Posted: August 8, 2013
* Contact email: hdavulcu at asu,edu and steve.corman at asu,edu

Position

Seeking a Post-Doc with preparation in natural language processing (NLP), machine learning (ML) for quantitative text and discourse analysis at Center for Strategic Communication, Arizona State University, Tempe Campus.

The project involves parsing large collection of English documents with a deep parser, extracting subject-verb-object triplets from sentences, and utilization of semantic information for event and story detection. Project also involves development of graph clustering based summarization tools for text.

The Center is a fun, collaborative group providing many opportunities for learning, hands-on research and teamwork. We value having a diverse mix of people and we are committed to equal opportunity in employment.

Candidates should have excellent English language skills (written and spoken), good communication skills, good programming skills (e.g., Java, C++, MATLAB, Python) and demonstrable ability to work with various open source NLP and ML tools and libraries.

Requirements: PhD degree in Computer Science or Computational Linguistics

Pay Rate: Competitive monthly salary.

Term of employment:
This is a Short-term, temporary position.
Period between September 3, 2013 and February 28, 2014.

Close Date:
Initial close date is August 21, 2013. Applications will continue to be accepted and reviewed every week thereafter until search is closed.

How to Apply:

Please submit your information by email to hdavulcu at asu,edu and steve.corman at asu,edu
E-mail subject line - “Natural Language Processing – Post-Doc application”.

Information must have the following:
* Cover Letter
* CV
* 2 or more professional references (name, addresses and phone numbers)

== Postdoctoral Fellow Machine Reading, KU Leuven, Belgium==

Employer: Katholieke Universiteit Leuven, Belgium http://www.kuleuven.be/
* Rank or Title: Postdoctoral fellow
* Specialty: Natural language processing and machine learning
* Location: Leuven, Belgium
* Deadline: July 5, 2013
* Date Posted: June 9, 2013
* Contact email: Sien.Moens@cs.kuleuven.be

Position

Applications are invited for the position of a postdoctoral research fellow specialized in natural language processing and machine learning to join the Language Intelligence and Information Retrieval group of Prof. Marie-Francine Moens at the Department of Computer Science at KU Leuven, Belgium.
The work will be conducted in the framework of the EU FP7 MUSE research project (http://www.muse-project.eu/) granted under the Future and Emerging Technologies ICT call. The MUSE project introduces a new way of exploring and understanding information by “bringing text to life” through 3D interactive storytelling. Taking as input natural language text like children’s stories or medical patient education materials, MUSE will process the natural language, translate it into formal knowledge that represents the actions, actors, plots and surrounding world, and then render these as virtual 3D worlds in which the user can explore the text through interaction, re-enactment and guided game play. The focus of the postdoctoral research at KU Leuven will be on semi-supervised and unsupervised models for machine reading (MR) when translating the content of text to knowledge representations. A possible additional focus is on scalable inference and learning. The position ideally starts September 1, 2013. Funding for this position is currently available for 2 years.

Requirements

Applicants have a PhD degree in computer science or related areas, and a strong background in NLP and machine learning. Research experience is desirable in one or more of the following fields: information extraction, semi- and unsupervised parsing, graphical models, structured learning, language modeling, and related domains. The candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team.

Information

For more information contact Marie-Francine Moens, tel.: +3216325383, mail: sien.moens@cs.kuleuven.be.
You can apply for the postdoctoral position by sending your CV and publication list to: sien.moens@cs.kuleuven.be.

== Research Scientist Positions, NLP and Speech ==

Employer: Educational Testing Service http://www.ets.org/
* Rank or Title: Research Scientist
* Specialty: Natural Language Processing
* Location: Princeton, NJ or San Francisco, CA
* Deadline: Until position is filled
* Date Posted: 22 May 2013
* Contact email: dyanchuk@ets.org

Headquartered in Princeton, NJ, ETS is the world’s premier educational measurement institution and a leader in educational research. As an innovator in developing achievement and occupational tests for clients in business, education, and government, we are determined to advance educational excellence for the communities we serve.

ETS Research & Development has openings for Research Scientists at all levels in Natural Language Processing and Speech Group. The ongoing projects in this group focus on natural language processing for topics including automated evaluation of writing and speaking assessments. ETS aims to expand these current research directions, as well as pursuing groundbreaking research in new areas:
* The incoporation of interactive tasks into assessment environments, using technologies for dialog management and analysis.
* The automated induction of rhetorical structures from student responses, including argumentation strategies, narrative organization, and topical analyses.
* Automated analysis of process data related to student performance on immersive assessment tasks (such as in a game-based environment).

This is an excellent opportunity to be a part of a research and development team and have a significant impact on existing and next generation assessments.

'''PRIMARY RESPONSIBILITIES'''

• Pursue or collaborate in interdisciplinary projects, transferring techniques to a new context or connecting scientific fields that are usually separate. Successful candidates are self-motivated and self-driven, and have a strong interest in emerging technology that can contribute to education in assessment and instructional settings.

• Provide scientific and technical skills to conceptualize, design, obtain support for, conduct, and manage new research projects, grants, or parts of existing projects.

• Generate or contribute to new or modified methods that support research and development in the automated analysis of student responses as well as other written or spoken materials relevant in assessment and instructional settings.

• Design and conduct scientific studies, functioning as an expert in the major facets of the projects; respond as a subject matter expert in presenting the results of acquired knowledge and experience. Consult and collaborate on problems arising from research and/or testing programs, or corporate management concerns.

• Develop or assist in developing proposals for external and internal research grants and obtain financial support for new or continuing research activities. Prepare initial and final proposal and project budgets.

• Participate in dissemination activities through the publications of research papers in peer-reviewed journals and in the ETS Research Report series, the issuing of progress and technical reports, the presentation of seminars at major conferences and at ETS, or the use of other appropriate communication vehicles, including books and chapters, that impact practice in the field or at ETS.

• Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.

• Consult on ETS projects or external contracts that related to the research focus of the group.

'''Required Experience:'''

'''REQUIREMENTS FOR A JUNIOR LEVEL POSITION'''

A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member.

'''REQUIREMENTS FOR A MID-LEVEL POSITION'''

A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member. Three years of progressively independent substantive research in the area of computer science, linguistics, cognitive psychology, or education are required.

'''REQUIREMENTS FOR A SENIOR-LEVEL POSITION'''

A Doctorate in computer science, linguistics, cognitive psychology, or a related field is required. Research experience in education is desirable. Candidates should be very skilled in programming and be able to work effectively as a research team member. Eight years of progressively independent substantive research in the area of computer science, linguistics, cognitive psychology, or education are required.

About the Center for Assessment Innovation: The NLP and Speech Group focuses on automated scoring of text and speech, support for technologically-enhanced assessment methods, and the application of NLP and speech technology to educational problems generally. The group builds partnerships and collaborations with other institutions. External grants are pursued, and internally-funded fundamental research and capability development is also supported.

ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.

== Research Assistant Positions, NLP ==

Employer: Educational Testing Service http://www.ets.org/
* Rank or Title: Research Assistant
* Specialty: Natural Language Processing
* Location: Princeton, NJ
* Deadline: Until position is filled
* Date Posted: 22 May 2013
* Contact email: dyanchuk@ets.org

ETS Research & Development has an opening for a Research Assistant in the Natural Language Processing Group. A primary focus of the area is to contribute to externally-funded projects as well as provide service to the program areas of ETS, including new applications of automated scoring technologies. The successful candidate will contribute to internal projects aimed at developing assessment and automated scoring innovations. The successful candidate will also contribute to external projects aimed at developing methodologies to support natural language processing technologies.

'''BASIC FUNCTIONS AND RESPONSIBILITIES'''

'''Project Management/Leadership'''

Complete Linguistic annotations of text, develop and apply scoring schemes to short answer responses, assist research scientitsts in constructing models and documenting procedures.

Coordinate discrete phases of research projects (e.g., scheduling, testing, data collection, coding, and/or analysis activities of support and field staff).

Recruit, contact, and select potential research sites and subjects. Schedule meetings with school personnel, research subjects, and outside groups.

Schedule services with other ETS departments, staff and vendors.

Assist in arranging meetings with clients, committees, and consultants, as well as seminars and workshops. Attend meetings, take notes, and maintain records.

Research Design, Data Collection and Analysis

Assist in developing and refining research instruments.

Assist in developing procedures for data collection. Edit and proof coding systems and manuals.

Administer research instruments such as assessments, surveys, observations, and interviews.

Instruct support staff on procedures for data collection, data entry and check work.

Organize and prepare data for entry; Clean and recode data from existing datasets; Perform basic coding of new data.

Perform basic data analyses; Compile simple results.

Prepare charts, tables, figures, and graphics for reports and presentations.

'''Communication'''

Conduct literature searches and prepare reference lists with brief summaries of articles, including logic models.

Conduct searches of current educational practices, policies, reforms, and competitors to inform development, grant and proposal writing, etc.

Prepare initial drafts of study results. Edit and proofread research reports, proposals, websites, and external communication.

Assist in developing presentations and present as part of a team.

Experience in using scholarly search engines, conducting literature searches, and writing research summaries or results.

Experience in using data analyses software.

'''Required Experience:'''

'''EDUCATION'''

A Bachelor's degree in linguistics or a closely related field, with coursework in statistics or research methods, phonetics & phonology, syntax & semantics, and/or language acquisition is necessary.

'''EXPERIENCE'''

Six months of research-related experience is necessary.

Knowledge of introductory research methodology and statistics sufficient to analyze and interpret research study results.

ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.

== Senior Research Scientist - Xerox Research Centre Europe ==

* Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/
* Rank or Title: Senior Research Scientist
* Specialty: Statistical Natural Language Processing, Machine Learning
* Location: Grenoble, France
* Deadline: 31 July 2013 or until position is filled
* Date Posted: 2 May 2013
* Contact email: James.Henderson@xrce.xerox.com

'''Position Description'''

The Parsing & Semantics research area at Xerox Research Centre Europe (XRCE) is currently looking for an experienced researcher in statistical natural language processing (NLP), with a deep understanding of machine learning for NLP. The ideal candidate would have experience or knowledge of parsing, information extraction, weak supervision, textual entailment, and combining machine learning with expert knowledge. Awareness of the healthcare domain is a plus. The applicant should have a strong publication record and good coding skills. The seniority of the appointment will depend on qualifications.

The successful candidate will be expected to identify challenging problems, develop novel solutions, and work with business and development teams to ensure that these solutions have a significant impact. Senior researchers are expected to also lead research projects. We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals. We also have multiple open innovation collaborations with academic partners world-wide.

The Parsing & Semantics group concentrates on automatically understanding text using syntactic and semantic analysis. The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning. We are particularly interested in statistical models that exploit many sources of information, such as context, corpora, domain knowledge, knowledge bases, and task performance. The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group. We are also interested in applying research results to practical applications and real-world problems. Our general application focus is on converting unstructured text into structured information, including facts and opinions. The solutions we develop play a key role in Xerox's next generation document and business process outsourcing services in domains such as customer care, health care, financial services, and market analysis.

XRCE is located in Grenoble, France, in the heart of the French Alps. Grenoble offers an excellent quality of life and a large scientific community. For more information, please see http://www.xrce.xerox.com/About-XRCE/Career-opportunities/Senior-Research-Scientist-in-Statistical-Natural-Language-Processing.

'''Requirements'''

* PhD in Computer Science or Computational Linguistics
* NLP knowledge and experience
* Machine learning knowledge or experience
* Strong publication record
* Programming skills
* Strong written and oral communications skills in English

'''Application instructions '''

Applications will be considered as they are received. To ensure that an application receives full consideration it should be submitted by '''July 31, 2013'''. Applications will be considered beyond this date until the position is filled.

Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com.

To submit an application, please send your CV and cover letter to both xrce-candidates@xrce.xerox.com and to Tonya.Love@xerox.com. You should also include in your CV at least three referees we can contact for letters of recommendation.

== Internship Opportunities in Qatar Computing Research Institute (QCRI) ==

* Employer: Qatar Computing Research Institute (http://www.qcri.qa)
* Rank or Title: Intern/Research associate/Research assistant
* Specialty: Information retrieval, text mining, natural language processing
* Location: Doha, Qatar
* Deadline: May 31, 2013
* Date Posted: March 15, 2013
* Contact email: kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa

'''POSITION DESCRIPTION'''

The NLP/IR group at the Qatar Computing Research Institute (QCRI) is looking for 3 interns to work on a project that involves the search and visualization of social content (e.g. tweets, Facebook posts and comments). Underlying technologies for the project include information retrieval, text mining, and natural language processing.

'''INTERNSHIP TASKS INCLUDE'''
* Development of effective techniques for information filtering from social media
* Diversity analysis, categorization, and summarization of search results
* Development of effective techniques for processing the social Arabic/English language for real-time indexing and search
* Web design/development of visualization schemes for social search results
* Conducting project-related research work supervised by scientists in the team

'''EXPECTED APPLICANTS SHOULD BE/HAVE'''
* PhD/Master students in computer science or related field
* At least 1-year research experience
* Familiarity with open-source search engines and large-scale text processing (e.g. Lucene, Solr, Casandra, and Hadoop) is desirable.
* Background in social network analysis and/or natural language processing is a plus
* Basic knowledge of Arabic language can help but is not mandatory
* Web development/design experience is essential for one of the positions (fresh graduates are encouraged to apply for this position)

'''INTERNSHIP NATURE'''

Interns are expected to contribute novel ideas and techniques to the project. The interns will have the opportunity to tap massive amount of data and to release their work in a public facing site. It is highly encouraged to publish the performed research work in top tier conferences. Also, novel ideas are potentially filed as patents.

Prospective interns are expected to spend between 3 to 6 months in QCRI. During the period, the intern is provided with free fully-serviced accommodation, a car for transportation (driving license is required), and a competitive tax-free salary paid on a monthly bases. Internship can start anytime during the year.

'''ABOUT QCRI'''

Qatar Computing Research Institute (QCRI) was established in 2010 by Qatar Foundation for Education, Science and Community Development (http://www.qf.org.qa), a private, non-profit organization that is supporting Qatar’s transformation from traditionally carbon-based economy to sustainably knowledge-based one.

QCRI supports Qatar Foundation’s mission by helping to build Qatar’s innovation and technology capacity. It is focused on tackling large-scale computing challenges that address national priorities for growth and development. In doing this, QCRI conducts world-class multidisciplinary computing research that is relevant to the needs of Qatar, the wider Arab region, and the world. We perform cutting-edge research in such areas as Arabic language technologies, social computing, data analytics, distributed/cloud computing and so on. The research work we are conducting at QCRI is aligned with the Qatar National Research Strategy, and supports the strategic priorities outlined in Qatar National Vision 2030.

'''APPLICATION'''

Please send CV to kdarwish@qf.org.qa, wmagdy@qf.org.qa, wgao@qf.org.qa. Alternatively, you can apply at http://qcri.qa/join-us/apply-now/apply-now

For more information, please visit:
http://www.qcri.qa
http://qcri.qa/our-research/arabic-language-technologies

== Postdoctoral fellow -- KU Leuven ==

* Employer: Department of Computer Science, KU Leuven, Belgium
* Rank or Title: Postdoctoral fellow
* Specialty: Information extraction, natural language understanding, machine reading
* Location: Leuven, Belgium
* Deadline: Until position fills
* Date Posted: April 13, 2013
* Contact email: Sien.Moens@cs.kuleuven.be

'''Position description'''
The Language Intelligence and Information Retrieval group, which is part of the Department of Computer Science at KU Leuven (http://www.cs.kuleuven.be/groups/liir/), has an open postdoctoral position for a motivated researcher with interest and expertise in information extraction from text. The work will be conducted in the framework of the EU FP7 MUSE research project (http://www.muse-project.eu/) granted under the Future and Emerging Technologies ICT call. The candidate is holder of a PhD degree, and can show his or her expertise through several publications in major conferences or journals in the fields of computational linguistics, machine learning and/or artificial intelligence.
The position will be for two years starting in the Summer of 2013 or earlier. The candidate has excellent English language skills (written and spoken), good communication skills especially for guiding master and PhD students, good programming skills (e.g., Java, C++, MATLAB, Python) and has the capability to work independently and in a team.

'''Application instructions '''

Please send your application to Marie-Francine Moens (Sien.Moens@cs.kuleuven.be).

'''Other considerations'''

Situated in the heart of Western Europe, KU Leuven has been a centre of learning for almost six centuries. KU Leuven is a research-intensive, internationally oriented university that carries out both fundamental and applied research. It is strongly inter- and multidisciplinary in focus and strives for international excellence. To this end, KU Leuven works together actively with its research partners at home and abroad.

== Post-doctoral fellows -- University of Alberta ==

* Employer: Department of Computing Science, University of Alberta
* Rank or Title: Post-doctoral fellow
* Specialty: Information Extraction
* Location: Edmonton, AB, Canada
* Deadline: March 15 2013, but applications are accepted until positions are filled
* Date Posted: 26 February 2013
* Contact email: denilson@ualberta.ca

'''Position Description'''

The Department of Computing Science at the University of Alberta is seeking applicants for post-doctoral fellows to work on a project related to information extraction. The ideal candidates are recent PhDs in Computer Science with strong background in information retrieval, linked open data, natural language processing, and information extraction from the web. Other areas where expertise is desirable include graph data management, network analysis, data analytics, and the semantic web.

The projects will be conducted in the context of the NSERC Business Intelligence Network (http://bin.cs.utoronto.ca/), a collaborative research initiative involving several top Canadian Universities and key industrial partners IBM Canada, SAP Canada, and Palomino System Innovations Inc.

The fellows will work under the supervision of PI Denilson Barbosa, within a team of PhD and MSc students, and build on ongoing work in information extraction with applications in business and environmental data. These positions will require the development of practical prototypes and proof-of-concept systems, as well as dissemination of research results in top venues. As such, emphasis should be given on the application materials to hands-on experience with large-scale datasets.

Qualified candidates must hold a PhD at the time of appointment. The stipend will be in accordance with NSERC standards (CAD$ 40,000 plus benefits), with the possibility of a 10-20% top-up depending on qualifications.

'''Application instructions '''

To apply, send an updated CV, cover letter, and the names and official contact information (university or company email and phone number) of three references to Denilson Barbosa <denilson@ualberta.ca>.

Applications received by March 15, 2013 will receive full consideration, but applications will be considered until the positions are filled.

'''Other Considerations'''

The University of Alberta, one of Canada's largest research universities is situated in Edmonton, a metropolitan area of over one million people with a vibrant research community and an excellent standard of living. The Department of Computing Science at the University of Alberta is widely recognized as a leading CS department, both within Canada and worldwide.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

The University of Alberta hires on the basis of merit. We are committed to the principle of equity in employment. We welcome diversity and encourage applications from all qualified women and men, including persons with disabilities, members of visible minorities, and Aboriginal persons.

== Research Scientist - Xerox Research Centre Europe ==

* Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/
* Rank or Title: Research Scientist
* Specialty: Statistical Natural Language Processing
* Location: Grenoble, France
* Deadline: Applications accepted until position is filled
* Date Posted: 14 February 2013
* Contact email: James.Henderson@xrce.xerox.com

'''Position Description'''

The Parsing & Semantics research area at Xerox Research Centre Europe (XRCE) is currently looking for an experienced researcher in statistical natural language processing (NLP), with a deep understanding of machine learning and/or information extraction (e.g. event extraction). The ideal candidate would also have experience or knowledge of textual entailment, knowledge representation, and combining machine learning with expert knowledge. The applicant should have good coding skills (e.g. Java programming), with the ability to develop research prototypes and pilots.

The successful candidate will be expected to identify challenging problems, develop new solutions, and work with business and development teams to ensure that these solutions have a significant impact. We work together with top academic partners and expect our researchers to publish results in top-tier conferences and journals. We also have multiple open innovation collaborations with academic partners world-wide.

The Parsing & Semantics group concentrates on automatically making sense of electronic documents using semantic analysis. The group focuses on natural language processing methods for robust parsing, semantic analysis, and information discovery, including the role of context in determining meaning. We are particularly interested in theoretical models of communication, language, computation, learning and inference which take into account the context in which these activities occur. The Parsing & Semantics group collaborates closely with the Machine Learning for Services group and the Machine Learning for Document Access and Translation group. We are also interested in applying research results to practical applications and real-world problems. Our general application focus is on converting unstructured text into structured information. The solutions we develop are expected to play a key role in Xerox’ next generation document and business process outsourcing services in domains such as customer care, healthcare, and financial services.

See also http://www.xrce.xerox.com/About-XRCE/Career-opportunities

'''Requirements'''

* PhD in Computer Science or Computational Linguistics
* NLP knowledge and experience
* Knowledge or experience in machine learning or information extraction
* Object oriented programming skills (e.g. java)
* Strong written and oral communications skills in English

'''Application instructions '''

The application deadline is '''March 1, 2013''', but applications will be considered beyond this date until the position is filled.

Informal inquiries can be made to James.Henderson@xrce.xerox.com or Tonya.Love@xerox.com.
To submit an application, please send your CV and cover letter to both xrce-candidates@xrce.xerox.com and to Tonya.Love@xerox.com. You should also include in your CV at least three referees we can contact for letters of recommendation.

== 15 Research Positions (MT, Parsing, IR/E, Text Analytics, NLP) at CNGL at DCU ==

* Employer: CNGL, Dublin City University http://www.cngl.ie
* Rank or Title: PhD, Post-Doc and Research Programmer
* Specialty: Machine Translation, Natural Language Processing, Parsing, Information Retrieval/Extraction, Text Analytics
* Location: Dublin, Ireland
* Deadline: February 25, 2013
* Date Posted: January 30, 2013
* Start Date: March, 2013
* Duration: 3 year (PhD), up to 2.5 years (Post-Doc)
* Contact email: dgroves@computing.dcu.ie

'''For More Details'''

http://www.cngl.ie/vacancies.html

'''Position Description'''

CNGL is a €50M+ Academia-Industry partnership, funded jointly by Science Foundation Ireland (SFI) and our industry partners, and is entering its second cycle of funding. CNGL is looking to fill multiple posts associated with its second phase which will focus on expansion of our work into the challenging areas of social text sources and multimedia content.

CNGL is an active collaboration between researchers at Dublin City University (DCU), Trinity College Dublin (TCD), University College Dublin (UCD), University of Limerick (UL), as well as 10 industrial partners, including SMEs, Microsoft, Symantec, Intel, DNP, and Welocalize.

CNGL comprises over 100 researchers across the various institutions developing novel technologies addressing key challenges in the global digital content and services supply chain. CNGL is involved in a large number of European FP7 projects, as well as commercial projects in the areas of language technologies, information retrieval and digital content management. CNGL provides a world class collaborative research infrastructure, including excellent computing facilities, and administrative, management and fully integrated and dedicated on-site commercialisation support.

The successful candidates will become part of the research team based at DCU, joining two leading academic MT/NLP/IR and Translation research groups (www.nclt.dcu.ie/, cttsdcu.wordpress.com/). The team’s location at DCU, minutes from Dublin city centre, offers a highly conducive environment for research, collaboration and innovation with a wealth of amenities on campus.

DCU is ranked in the TOP 50 of young universities worldwide (under 50 years old) (QS Ranking) and in the TOP 100 under the Times Higher Education (under 50 years) ranking scheme.

The research is supervised by Dr. Jennifer Foster, Dr. Sharon O'Brien, Dr. Gareth Jones, Prof. Qun Liu and Prof. Josef van Genabith.

'''PhD Studentships'''

*Parsing, Analytics and Information Extraction:
**Tuning Text Analytics to User-Generated Content: Parse quality estimation and targeted self-training.
**Extracting Events and Opinions from User-Generated Content: Deep parsing-based methods.
*Information Retrieval:
**Self-Managing Information Retrieval Technologies: Query, search technique and parameter selection in information retrieval applications
**Indexing and Search for Multimodal (Spoken/Visual) Content: Locating relevant content in multimodal sources
**Application of Text Analytics in Information Retrieval: Enhancing information retrieval using features from text analysis
**Investigating Human-Computer Interaction Issues for Search and Discovery with Multimodal (spoken/Visual) Content
*Machine Translation:
**Syntax- and Semantics-Enhanced Machine Learning Based MT
**Domain Adaptation Based on Multi-Dimensional Quality Estimation, Similarity Metrics, Clustering and Search
**Human interaction with MT output: Usability, Acceptability, Post-editing Research
**MT and Multimodal Interaction
**MT for Multimodal Cross Language Information Retrieval

'''Post-Doctoral Positions'''

*Parsing, Analytics and Information Extraction:
**Extracting Events and Opinions from User-Generated Content: Parsing-based deep methods (up to 2 year contract)
**Extracting Events and Opinions from UGC: Shallow methods, including unsupervised methods (up to 2.5 year contract)
*Machine Translation:
**User/Human Centric MT (up to 2.5 year contract)

'''Post-Doctoral Positions'''

*Research Programmer (up to 2.5 year contract)

For more information please see: http://www.cngl.ie/vacancies.html

== Assistant Professor Position in Computational Linguistics in NAIST (Nara, Japan) ==

* Employer: Nara Insititute of Science and Technology
http://www.naist.jp/en/
* Rank or Title: Assistant Professor
* Specialty: Foundation and/or Application areas of Natural Language Processing, Machine Translation, Web Mining and Grammatical Error Correction/Detection
* Location: Nara, Japan
* Deadline: February 28, 2013
* Date Posted: January 30, 2013
* Start Date: after April, 2013
* Duration: 5 years (reappointment is possible)
* Contact email: matsu@is.naist.jp

'''For Detailed Description'''

http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/index_130129.html

==Researchers - AT&T Labs Research==

* Employer: AT&T Labs - Research
* Rank or Title: Researchers and Research Software Engineers
* Specialty: Natural Language Processing, Speech Processing, Machine Learning
* Location: NJ
* Deadline: Applications accepted until position is filled
* Date Posted: 8 January 2013
* Contact email: vkumar@research.att.com

'''Position Description'''

AT&T Research, one of the premier industrial research laboratories in the world, is looking for
talented individuals to make a difference in the world of communications. Our researchers and
research software engineers are dedicated to solving real problems in speech and language
processing, and are involved in inventing, creating and deploying innovative services. We also
explore fundamental research problems in these areas. Outstanding Ph.D.-level candidates at
all levels of experience are encouraged to apply. Candidates must demonstrate excellence in
research, a collaborative spirit and strong communication and software skills.

Areas of particular interest are

* Large-vocabulary automatic speech recognition
* Acoustic and language modeling
* Robust speech recognition
* Signal processing
* Text-to-speech synthesis
* Natural language understanding and dialog
* Machine translation (speech and text)
* Speaker biometrics
* Voice and multimodal search
* Software engineering for speech and language processing

Speech and language positions are based in Bedminster, NJ; New York, NY and Middletown, NJ (note: we are moving from our Florham Park office).

Outstanding PhD-level candidates at all levels of experience and experienced M.S. candidates
are encouraged to apply. Interviews will be conducted in early 2013. For more information,
visit http://www.research.att.com/ and click on "Working with us", or access the page directly:

http://www.research.att.com/evergreen/working_with_us/careers.html

Candidates must demonstrate a proven research track record and the ability to identify technical
problems and research opportunities. Candidates with strong analytical and programming skills (Python, C, C++)
are desired. Access to massive amounts of real-world data, the ability to work with internal and external
collaborators across departments, the possibility of making an impact by developing solutions that will be used
by millions, and the freedom to publish your results are some of the reasons AT&T Labs -
Research is an exciting place to work.

AT&T Companies are Equal Opportunity Employers. Applications will continue to be considered until positions are filled.

==Subject Matter Expert - Linguistics==

Employer: Assured Information Security, Inc 
Rank or Title: Subject Matter Expert 
Specialty: Linguistics 
Location: Rome, NY 13441 
Deadline: July 17, 2013 
Date Posted: June 17, 2013 
Link to website: http://www.Click2Apply.net/6q7549z 

AIS, Inc. is currently seeking a Subject Matter Expert in SIGINT for their Rome, NY office to support customers in the areas of requirements development, testing, and system training. The candidate(s) will support and coordinate the activities of AIS research and development programs.

Roles and Responsibilities

* Analysis of ongoing operations to identify and document end user requirements
* Identification of operational scenarios to be used in evaluating candidate prototype technologies
* Testing and analysis of the interim prototype systems against operational data sets
* Conduct the demonstration and evaluation of interim prototype systems to operational users
* Coordination of program activities with operational site personnel
* Aggregation of operational data sets to be used in support of prototype evaluations
* Provide training and technical support of the prototype systems for the end users
* Creation of user documentation for the products developed within the research program
* Coordination with other contractors in the integration of prototype systems
* Assistance with the transition of prototype capabilities into the operational environment

Requirements

* Candidate must have 10 or more years of SIGINT experience to include field operations, analysis and reporting, training, and evaluation
* Expertise in one or more SIGINT - related disciplines
* Operational SIGINT qualifications in collection and management positions
* Instructor and examiner experience
* Presentation development experience
* Demonstrated experience with research and analysis techniques
* Strong interpersonal and oral/written communication skills including the ability to write progress reports, make oral presentations, and to implement or influence implementation of operating standards, policies and procedures in the project
* Experience in working with diverse groups is desired
* Recent operational SIGINT field experience is highly desired

Qualifications and Education Requirements

An active Top Secret/SCI security clearance and current investigation are required.

Preferred: Bachelor's Degree in Computer Science or related program with 8 - 12 years experience; Master's Degree in Computer Science or related program with 4 - 7 years of experience; or 16 + years of job
related experience.

Additional Notes

AIS is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, Vietnam era or other eligible veteran status, or any other protected factor.

EEO/AA employer

[http://www.Click2Apply.net/6q7549z Apply Here]