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* '''[[Instructions for Posting Job Ads]]'''
 
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* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
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* See also the [http://linguistlist.org/jobs Linguist Job List].
 
* Archived postings:
 
* Archived postings:
** [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
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** [[Employment opportunities posted 2016|2016]] - [[Employment opportunities posted 2015|2015]] - [[Employment opportunities posted 2014|2014]] - [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
 
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== Assistant/Associate Professor Position - University of Illinois at Urbana-Champaign, Department of Linguistics (Urbana, IL)==
 
  
* Employer: University of Illinois at Urbana-Champaign
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== Two Postdoctoral Positions on Interpretable Vector Space Models ==
* Title: Tenure-track Assistant Professor / Tenured Associate Professor
+
*Employer: Cardiff University
* Location: Urbana, IL, USA
+
*Title: Postdoctoral research associate
* Specialty: Computational Linguistics /Natural Language Processing, Machine Translation
+
*Speciality: Neural networks, statistical relational learning, natural language processing
* Deadline: December 15, 2013
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*Location: Cardiff, UK
* Date Posted: October 6, 2013
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*Deadline: November 2 2017
* Contact email: SLCL-HR@illinois.edu
+
*Date posted: October 6, 2017
 +
*Contact: [mailto:schockaerts1@cardiff.ac.uk Steven Schockaert]
  
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.
+
Applications are invited for two postdoctoral research posts at Cardiff University’s School of Computer Science & Informatics in the context of Steven Schockaert's FLEXILOG project, which is funded by the European Research Council (ERC). The overall aims of this project are (i) to learn interpretable vector space representations of entities and their relationships, and (ii) to exploit these vector space representations for various forms of flexible reasoning with, and learning from structured data. More information about FLEXILOG can be found on the project website: http://www.cs.cf.ac.uk/flexilog/
  
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.
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The aim of these positions will be to contribute to one or more of the following topics.
  
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.
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1) Learning structured event embeddings. In contrast to existing approaches, the learned embeddings will explicitly model which entities participate in the events, how they are related, and how their relationships are affected by different events. This will require combining ideas from neural network models for event embedding (e.g. based on LSTMs) with cognitively inspired representations (e.g. based on the theory of conceptual spaces). Among others, the resulting model will allow us to uncover more intricate causal relationships, to generate supporting explanations for causal predictions, to incorporate prior knowledge, and to transfer learned knowledge between domains.  
  
Evidence of an active research agenda and a strong commitment to innovative teaching in an interdisciplinary context is expected at the assistant professor level.
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2) Combining statistical relational learning with vector space models of commonsense reasoning. Low-dimensional vector space representations can be used to identify plausible formulas that are missing from a given knowledge base, intuitively by applying a kind of similarity or analogy based reasoning. Statistical relational learning (SRL) can also be used to infer plausible formulas, but instead relies on modelling statistical dependencies among relational facts at the symbolic level. Unifying both methodologies will allow us to develop powerful inference methods that combine their complementary strengths, enabling interpretable and robust plausible reasoning from sparse relational data.
  
The target starting date is August 16, 2014. Salary will be commensurate with qualifications.
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3) Geometric representations of logical theories. Most vector space models for knowledge base completion simply represent entities, attributes and relations as vectors. In many domains, however, plausible inferences rely on complex dependencies that cannot be captured by such representations. As an alternative, we will develop methods in which predicates are represented as regions, and logical formulas correspond to qualitative constraints on the spatial configurations of these regions. This model will support more complex inferences than existing approaches, will allow us to exploit existing domain knowledge when learning vector space representations, and will conversely allow us derive approximate logical theories from a learned embedding.
  
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.
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Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available.  
  
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.
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For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 6522BR. Please note the requirement to evidence all essential criteria in the supporting statement.
  
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.
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== Salaried 4-year PhD Position in Computational Linguistics/NLP at Stockholm University ==
 +
*Employer: Stockholm University, Sweden
 +
*Title: PhD candidate
 +
*Speciality: Computational Linguistics/Natural Language Processing
 +
*Location: Stockholm, Sweden
 +
*Deadline: October 16, 2017
 +
*Date posted: September 20, 2017
 +
*Contact: [mailto:robert@ling.su.se Robert Östling]
  
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.
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More information and application form: http://www.su.se/english/about/working-at-su/jobs?rmlang=UK&rmpage=job&rmjob=3869
  
For further information regarding application procedures, please contact SLCL-HR@illinois.edu.
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The Department of Linguistics at Stockholm University is looking for a new PhD candidate in the area of computational linguistics/natural language processing. PhD candidates are regular employees of Stockholm University, with a starting salary of 25,300 SEK (2,650 EUR; 3,200 USD) per month and the same benefits and social security as other University employees. The position is fully funded for 4 years. Extension up to one year is possible if the candidate performs teaching or other duties at the department, and further extension is granted in case of parental or sick leave.
  
The 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)
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The choice of thesis topic is not restricted to a particular project, but should be aligned with the research profile of the department. Possible topics include multilingual NLP methods, machine translation, or computational methods for other areas of research at the department (language acquisition, linguistic typology, phonetics, sign language).
  
==Tenure-Line Position - Northwestern University Department of Linguistics (Evanston, IL)==
+
Potential applicants are encouraged to contact [mailto:robert@ling.su.se Robert Östling] to discuss possible thesis projects, or other issues related to the position.
  
* Employer: Northwestern University
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== Tenure Line Assistant Professor Position in Linguistics at Northwestern University ==
* Title: Tenure-line Assistant Professor (more senior candidates will be considered)
+
*Employer: Northwestern University, USA
* Location: Evanston, IL, USA
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*Title: Tenure Line Assistant Professor Position in Linguistics at Northwestern University
* Deadline: December 1, 2013
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*Speciality: Meaning
* Date Posted: October 2, 2013
+
*Location: Evanston, IL, USA
* Contact email: search@ling.northwestern.edu
+
*Deadline: December 1, 2017
 +
*Date posted: September 18, 2017
 +
*Contact: matt-goldrick@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.
+
http://www.linguistics.northwestern.edu/about/news/faculty-search.html
  
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.
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The Department of Linguistics at Northwestern University seeks to fill a tenure-line assistant professor position with a start date of September 1, 2018. We are looking for candidates with research and teaching interests in meaning, broadly construed. We are particularly interested in candidates whose research program includes cognitive, computational, and/or social approaches. The successful candidate will join a vibrant interdisciplinary community of researchers in the science of language, including computer science, philosophy, psychology, cognitive neuroscience, and speech science.
  
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.
+
To receive fullest consideration, applications should be uploaded by December 1, 2017. Candidates must hold a Ph.D. in Linguistics, Cognitive Science, Computer Science, Psychology, or a related field by the start date. Please include a CV (including contact information), statements of research and teaching interests, reprints or other written work, teaching evaluations (if available), and the names of three references (with their contact information). References will separately receive upload instructions after you have submitted your application (letters of reference should arrive as close as December 1st as possible).
  
==Postdoctoral Research Scientist - Illinois Institute of Technology Department of Computer Science (Chicago, IL)==
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The Department is strongly committed to enhancing diversity, equity and inclusion in all aspects – including, but not limited to, race/ethnicity, and gender, as well as disability, sexual orientation, and gender expression and identity. We encourage applications from candidates that share this vision.
  
* Employer: Illinois Institute of Technology
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E-mail inquiries should be directed to Matt Goldrick, Chair.
* 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'''
+
Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.
  
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.
+
== PhD-level Researchers, AIPHES, Darmstadt/Heidelberg ==
  
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.
+
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] or [http://www.cl.uni-heidelberg.de/ Ruprecht Karls University Heidelberg], Germany
 +
* Title: Doctoral researcher
 +
* Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas
 +
* Location: Darmstadt
 +
* Deadline: October 6, 2017
 +
* Date posted: September 18, 2017
 +
* Contact: [https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/ AIPHES recruitment form]
  
'''To Apply'''
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The Research Training Group [http://www.aiphes.tu-darmstadt.de/ "Adaptive Information Preparation from Heterogeneous Sources" (AIPHES)], which has been established in
 +
2015 at the Technische Universität Darmstadt and at the
 +
Ruprecht‑Karls‑University Heidelberg is filling several positions for
 +
three years, starting on April 1st, 2018. Positions remain open until
 +
filled.
  
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.
+
PhD-level Researchers in Natural Language Processing, Computational
 +
Linguistics, Machine Learning, or related areas
  
==NLP Research Scientist - Nuance Communications, Inc. (Sunnyvale, CA Research Group)==
+
The positions provide the opportunity to obtain a doctoral degree in
 +
the research area of the training group with an emphasis, e.g., in
 +
graph-based discourse processing, in natural language processing tasks
 +
such as automated summarization, in representation and analysis of
 +
text-induced structures, in jointly analyzing text and images, or in a
 +
related area. The group will be located in Darmstadt and Heidelberg.
 +
The funding follows the guidelines of the DFG, and the positions are
 +
paid according to the E13 public service pay scale.
  
* Employer: Nuance Communications, Inc.
+
The goal of AIPHES is to conduct innovative research in knowledge
* Rank or Title: NLP Research Scientist
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acquisition on the Web in a cross-disciplinary context. To that end,  
* Specialty: Computational Linguistics, Natural Language Processing, Dialog Systems
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methods in computational linguistics, natural language processing,
* Location: Sunnyvale, CA, USA
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machine learning, network analysis, computer vision, and automated
* Deadline: Applications accepted until position is filled
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quality assessment will be developed. AIPHES will investigate a novel,  
* Date Posted: September 27, 2013
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complex scenario for information preparation from heterogeneous
* Contact email: Jennifer.Garvale@nuance.com
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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.
  
'''General Description'''
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Participating research groups at the Technische Universität Darmstadt
 +
are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge
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Processing (Prof. Gurevych), Machine Learning (Prof. Kersting), Visual
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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).
  
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:
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AIPHES emphasizes close contact between the students and their
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advisors, have regular joint meetings, a co-supervision by professors
 +
and younger scientists in the research groups, and an intensive
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exchange as part of the research and qualification program. The  
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training group has the goal of publishing its results at leading
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scientific conferences and will actively support its doctoral
 +
researchers in this endeavor. The software that will be developed in
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the course of AIPHES should be put under the open source Apache
 +
Software License 2.0 if possible. Moreover, the research papers and
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datasets should be published with open access models.
  
* Dialog processing
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Prerequisites
* Discourse and anaphora resolution
 
* Generation
 
* Parsing
 
* Entity recognition
 
* Morphology
 
* Multilingual NLP
 
* Semantic interpretation
 
  
'''Responsibilities'''
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We are looking for exceptionally qualified candidates with a degree in
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Computer Science, Computational Linguistics, or a related study
 +
program. We expect ability to work independently, personal commitment,
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team and communication abilities, as well as the willingness to
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cooperate in a multi-disciplinary team. Desirable is experience in
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scientific work. Applicants should be willing to work with
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German-language texts, and, if necessary, to acquire German language
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skills during the training program. We specifically invite applications
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of women. Among those equally qualified, handicapped applicants will
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receive preferential consideration. International applications are
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particularly encouraged.
  
* Ownership of a major component of the conversational system.  
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The Department of Computer Science of [https://www.informatik.tu-darmstadt.de/ TU Darmstadt] is regularly
* Conduct research on the dialog, generation, or reasoning components, and incorporate the latest advances from major conferences in the field.
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ranked among the top ones in respective rankings of German
* Adapt existing components within Nuance and from previous research in the field to a new problem space and domain.
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universities. The [http://www.cl.uni-heidelberg.de/ Institute for Computational Linguistics (ICL) of the  
* Understand the trade-offs between multiple competing approaches, and choose the ones that are likely to have future impact on the company's products.  
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Ruprecht Karls University Heidelberg] is one of the largest centers
* 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.
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for computational linguistics both in Germany and internationally. The
* Collaborate with other scientists and engineers inside and outside of the team.
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ICL and the NLP department of the HITS jointly run the graduate
* Patent or publish experimental results or designs when appropriate.  
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program [http://semproc.cl.uni-heidelberg.de/ “Semantic Processing”] with an integrated research training
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group “Coherence in language processing: Semantics beyond the
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sentence”, which has a close connection to the topics in computational
 +
linguistics of AIPHES.
  
'''Education/Experience'''
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Applications should include a motivational letter that refers to one
* Ph.D. in computer science, computational linguistics, linguistics, or another technical field with a focus on natural language processing.
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or two of the planned research areas of [http://www.aiphes.tu-darmstadt.de/ AIPHES], a CV with
* Solid track record in both projects and publications for natural language processing.
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information about the applicant’s scientific work, certifications of
* Solid implementation skills in C++, Java, scripting languages.  
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study and work experience, as well as a thesis or other publications in
* Knowledge of both statistical and rule-based methods for natural language processing.
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electronic form. Application materials should be submitted via the
 +
following form by October 6th, 2017:
 +
https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/. In
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addition, applicants should be prepared to solve a programming and a
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reviewing task in the first two weeks after their application.
  
  
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.
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==Postdoc Position on Sentence Understanding and Generation at NYU==
  
 +
* Employer: New York University, Machine Learning for Language Group (Sam Bowman and Kyunghyun Cho)
 +
* Title: Postdoc
 +
* Specialty: Sentence understanding and generation using deep neural networks with latent tree structures or other latent variables
 +
* Location: New York, NY, USA
 +
* Deadline: Rolling
 +
* Date posted: September 15, 2017
 +
* Contact: [mailto:bowman@nyu.edu Sam Bowman]
  
 +
The Machine Learning for Language Group at NYU expects to hire at least one postdoc to start some time in 2018, working with one or both of PIs Kyunghyun Cho and Sam Bowman.
  
== Short Term Post-Doc Position: Natural Language Processing (NLP), Phoenix, USA==
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We expect the researcher to use their time here to develop an independent research program which involves work on neural network models for natural language understanding or generation at the sentence level and to also participate in work on models which use latent tree structures or other continuous or discrete latent variables. The position will be funded through a sponsored research agreement on this topic, and while the researcher may be asked to contribute some effort to the completion of the sponsored research, this shouldn’t be a burden: It will only involve the development, evaluation and publication of novel modeling methods on public datasets.
  
Employer: Arizona State University, Tempe, AZ  http://csc.asu.edu/
+
For more details, see the full ad here:
* 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
 
  
 +
https://wp.nyu.edu/ml2/postdoc-opening/
  
Position
+
==PhD Position on Adaptive Text Generation in a Serious Game, The Netherlands==
  
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.
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* Employer: University of Twente
 +
* Title: PhD position
 +
* Specialty: Natural Language Generation
 +
* Location: Enschede, The Netherlands
 +
* Deadline: 28 August, 2017
 +
* Date posted: August 4, 2017
 +
* Contact: [mailto:m.theune@utwente.nl Mariët Theune]
  
The 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 research group Human Media Interaction of the University of Twente is looking for a PhD candidate to work on adaptive text generation. The PhD research aims at generating natural language texts in Dutch, for use in a training game for Dutch firefighters. The texts will be adaptive in the sense that they will be tailored to the player’s individual needs and competences. The type of narrative game that will be developed in our project (in collaboration with a serious game company) offers multiple opportunities for such tailoring of textual game content. Specifically, the goal is to work on the generation of in-game texts based on current real-world data, the generation of non-player character dialogue and the generation of post-game narrative feedback on player performance. Since the generated texts will be in Dutch, the PhD candidate is expected to have a good command of the Dutch language.
  
The 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.
+
The position is full-time for four years. Starting date is as soon as possible. Find more details about the position, including how to apply, by clicking on the link below:
  
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.
+
https://www.utwente.nl/en/organization/careers/vacancies/!/vacature/1155511
  
 +
==Permanent Position for Postdocs in Machine Learning & NLP, Paris, France==
  
Requirements: PhD degree in Computer Science or Computational Linguistics
+
* Employer: SPARTED
 +
* Title: Project Researcher
 +
* Specialty: NLP, Machine Learning, Deep Learning, Information Extraction
 +
* Location: Paris (16), France
 +
* Deadline: Until candidate is found
 +
* Date posted: August 4, 2017
 +
* Contact: [mailto:camille@sparted.com]; phone [+33] (06)52148693
 +
* Website: http://www.sparted.com
  
Pay Rate: Competitive monthly salary.
+
SPARTED is an innovative and disruptive French EdTech startup that is changing the way people learn by turning employees into daily learners. We offer companies and organizations a SaaS micro-learning mobile platform that allows them to  create online gamified content and deliver it independently in a white label app.
 +
SPARTED is initiated an ambitious project and is hiring a Postdoc researcher to pilot it. Find more details about the position by clicking on the link below:
  
Term of employment:  
+
http://files.sparted.com/all/Job%20description/AI%20FICHE%20DE%20POSTE.pdf
This is a Short-term, temporary position.  
 
Period between September 3, 2013 and February 28, 2014.
 
  
Close Date:
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== Funded PhD Position in NLP & Music Technology, Universitat Pompeu Fabra, Barcelona, Spain ==
Initial close date is August 21, 2013.  Applications will continue to be accepted and reviewed every week thereafter until search is closed.
 
  
 +
* Employer: Universitat Pompeu Fabra [https://www.upf.edu/en/web/etic], Barcelona, Spain
 +
* Title: PhD Scholarship
 +
* Specialty: Text Mining, Information Extraction, Music Information Retrieval
 +
* Location: Barcelona, Spain
 +
* Deadline: Until candidate is found
 +
* Date posted: June 10, 2017
 +
* Contact: [mailto:horacio.saggion@upf.edu]
  
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/
+
PhD position on data-driven methodologies for music knowledge extraction
* Rank or Title: Postdoctoral fellow
+
In the context of a collaborative project between the Music Technology and the Natural Language Processing groups of the Department of Information and Communication Technologies (DTIC) at Universitat Pompeu Fabra (UPF) we offer a PhD position dedicated to developing data-driven methodologies for music knowledge extraction by combining Natural Language Processing and Music Information Retrieval approaches.
* 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
+
Supervisors of the position: Xavier Serra and Horacio Saggion
 
+
Contact for application: Aurelio Ruiz (aurelio.ruiz@upf.edu)
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
 
 
   
 
   
 
+
The work to be done in this PhD will aim at processing music related text from open web sources in order to generate musically relevant knowledge. For this, it will require combining methodologies coming from Music Information Retrieval (MIR), Natural Language Processing (NLP) and Computational Musicology.
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.
 
 
   
 
   
 +
The PhD position is part of the María de Maeztu Strategic Research Program on data-driven knowledge extraction (MDM-2015-0502) and linked to the program of the Spanish Ministry of Science and Competitiveness .
  
'''Required Experience:'''
 
  
 +
== Scientific System Developer, UKP Lab, TU Darmstadt ==
  
'''REQUIREMENTS FOR A JUNIOR LEVEL POSITION'''
+
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
 +
* Title: Scientific System Developer
 +
* Specialty: Argument Mining, Machine Learning, Big Data Analysis
 +
* Location: Darmstadt
 +
* Deadline: May 31, 2017
 +
* Date posted: May 3, 2017
 +
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]
  
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.
+
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for a
  
'''REQUIREMENTS FOR A MID-LEVEL POSITION'''
+
'''Scientific System Developer'''<br>
 +
'''(PostDoc- or PhD-level; time-limited project position until April 2020)'''
  
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.
+
to strengthen the group’s profile in the area of Argument Mining, Machine Learning and Big Data Analysis. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Argument Mining is one of the rapidly developing focus areas in collaboration with industrial partners.  
  
'''REQUIREMENTS FOR A SENIOR-LEVEL POSITION'''
+
We ask for applications from candidates in Computer Science preferably with expertise in research and development projects, and strong communication skills in English and German. The successful applicant will work in projects including research activities in the area of Argument Mining (e.g. automatic evidence detection, decision support, large-scale web mining on heterogeneous source and data management), and development activities to create new products or industrial product prototypes. Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP) systems in Java and Python as well as experience in information retrieval, large-scale data processing and machine learning. Experience with continuous system integration and testing and distributed/cluster computing is a strong plus. Combining fundamental NLP research with industrial applications from different application domains will be highly encouraged.
  
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.
+
UKP’s wide cooperation network both within its own research community and with partners from industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique and recently established Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasizes NLP, text mining, machine learning, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals.
  
 +
Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).
  
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.
+
Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the application to: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 31.05.2017. The position is open until filled. Later applications may be considered if the position is still open.
  
 +
Questions about the position can be directed to: [mailto:jobs@ukp.informatik.tu-darmstadt.de Johannes Daxenberger]; phone: [+49] (0)6151 16-25297
 +
We look forward to receiving your application!
  
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 ==
+
== Two postdoc positions on plausible reasoning with vector space embeddings at Cardiff University ==
  
Employer: Educational Testing Service http://www.ets.org/
+
* Employer: Cardiff University
* Rank or Title: Research Assistant
+
* Title: Postdoctoral Research Associate
* Specialty: Natural Language Processing
+
* Specialty: vector space embeddings, statistical relational learning, knowledge representation, neural networks, explainable AI
* Location: Princeton, NJ
+
* Location: Cardiff, UK
* Deadline: Until position is filled
+
* Deadline: May 20, 2017
* Date Posted: 22 May 2013
+
* Date posted: April 20, 2017
* Contact email: dyanchuk@ets.org
+
* Contact: [mailto:schockaerts1@cardiff.ac.uk Steven Schockaert]
  
 +
Applications are invited for two Postdoctoral Research Associate posts at Cardiff University’s School of Computer Science & Informatics:
 +
* The focus of the first position will be on developing methods for exploiting entity embeddings in statistical relational learning, to enable robust plausible reasoning from sparse relational data. Entity embeddings can be used to identify plausible formulas that are missing from a given knowledge base, intuitively by applying a kind of similarity or analogy based reasoning. Statistical relational learning can also be used to infer plausible formulas, but instead relies on modelling statistical dependencies among relational facts at the symbolic level. Unifying both methodologies will allow us to develop powerful inference methods that combine their complementary strengths. The resulting method will be applied to zero and one shot learning tasks, with a focus on automated knowledge base completion.
 +
*The focus of the second position will be on learning vector space embeddings of events and the causal relations between them. In contrast to existing approaches, the learned embeddings will explicitly model which entities participate in the events, how they are related, and how their relationships are affected by different events. This will require combining ideas from neural network models for event embedding (e.g. based on LSTMs) with ideas from knowledge graph embedding models. Among others, the resulting model will allow us to uncover more intricate causal relationships, to generate supporting explanations for causal predictions, to incorporate prior knowledge, and to transfer learned knowledge between domains. Intended applications include recognising textual entailment, stock market prediction, and event-focused information retrieval.
  
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.
+
Successful candidates are expected to have a strong background in natural language processing, machine learning, or knowledge representation. This research will be part of Steven Schockaert's FLEXILOG project, which is funded by the European Research Council (ERC)
  
 +
Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available.
  
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
 
  
 +
'''More information'''
 +
For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5878BR. Please note the requirement to evidence all essential criteria in the supporting statement.
  
'''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.
+
== Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis, University of Colorado Boulder ==
  
Coordinate discrete phases of research projects (e.g., scheduling, testing, data collection, coding, and/or analysis activities of support and field staff).
+
* Employer: University of Colorado Boulder
 +
* Title: Postdoctoral Research Associate
 +
* Specialty: Advanced Machine Learning
 +
* Location: Boulder, Colorado, United States
 +
* Deadline: Ongoing, desired start Summer/Fall 2017
 +
* Date posted: March 31, 2017
 +
* Contact: [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]
  
Recruit, contact, and select potential research sites and subjects. Schedule meetings with school personnel, research subjects, and outside groups.
+
'''Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis''' <br/>
 +
(Institute of Cognitive Science and Department of Computer Science at the University of Colorado Boulder)
  
Schedule services with other ETS departments, staff and vendors.
+
The Institute of Cognitive Science (ICS) and Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time  postdoctoral fellow starting Summer/Fall 2017 for one year and renewable for a second year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.
  
Assist in arranging meetings with clients, committees, and consultants, as well as seminars and workshops. Attend meetings, take notes, and maintain records.
+
The postdoc will develop and apply machine learning techniques in the hierarchical and temporal domains to model behavioral and mental states (e.g., affect, attention, workload) from multimodal data (e.g., video, audio, physiology, eye gaze) across a range of interaction contexts (e.g., online learning, in-class learning, collaborative problem solving).
  
Research Design, Data Collection and Analysis
+
The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science, Cognitive Science, and Education.
  
Assist in developing and refining research instruments.
+
The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop advanced technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills by mentoring students, and gain expertise in co-authoring grant proposals.
  
Assist in developing procedures for data collection. Edit and proof coding systems and manuals.
+
'''Required'''
 +
* Ph.D. in Computer Science, Artificial Intelligence, or a related field (at the time of hire)
 +
* Research experience in advanced machine learning for temporal and hierarchical domains (e.g., probabilistic graphical models, deep recurrent neural networks) applied to human behavior and mental state analysis (e.g., affective computing, dyadic/triadic interaction)
 +
* Self-motivated with a strong work ethic and writing proficiency as evidenced by a strong publication record
  
Administer research instruments such as assessments, surveys, observations, and interviews.
+
'''Desired'''
 +
* Research experience in one or more of the following areas (computer vision, eye tracking, computational psychophysiology, fMRI, multimodal fusion, collaborative problem solving, real-world sensing)
 +
* Experience mentoring graduate and undergraduate students
  
Instruct support staff on procedures for data collection, data entry and check work.
+
'''Job Details'''
 +
* 1-2 year position. Initial contract is for one year (providing renewal after 6-month probationary period). Second year contract is based on performance and availability of funds.
 +
* Start date is negotiable, but anticipated for Summer/Fall 2017.
 +
* Competitive salary with benefits commensurate with qualifications. This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible for monthly vacation and sick leave accruals.
  
Organize and prepare data for entry; Clean and recode data from existing datasets; Perform basic coding of new data.
+
'''How to apply''' <br/>
 +
Please complete Faculty/University Staff EEO Data (application) form ([https://goo.gl/YC9g94 https://goo.gl/YC9g94]) and upload the following required documents: 1—Cover letter; 2—Curriculum Vitae 3—List of Three References 4-One or two representative publications.
  
Perform basic data analyses; Compile simple results.
+
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.
  
Prepare charts, tables, figures, and graphics for reports and presentations.
+
The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at [mailto:adacoordinator@colorado.edu adacoordinator@colorado.edu].
  
 +
'''Questions''' <br/>
 +
Please email [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]
  
'''Communication'''
 
  
Conduct literature searches and prepare reference lists with brief summaries of articles, including logic models.
+
== Researcher in Machine Learning and NLP, DFKI, Germany ==
  
Conduct searches of current educational practices, policies, reforms, and competitors to inform development, grant and proposal writing, etc.
+
* Employer: [http://www.dfki.de/ DFKI GmbH], Germany
 +
* Title: Researcher
 +
* Specialty: Machine Learning and Natural Language Processing, Deep Learning, Machine Translation
 +
* Location: Saarbruecken
 +
* Deadline: March 31, 2017
 +
* Date posted: March 13, 2017
 +
* Contact: [mailto:mlt-sek@dfki.de Prof. Josef van Genabith]
  
Prepare initial drafts of study results. Edit and proofread research reports, proposals, websites, and external communication.
+
The Multilingual Technologies (MLT) Lab at DFKI is looking to expand its expertise in Machine Learning with a focus on Deep Learning, Machine Translation and possibly other areas of NLP. Depending on experience, the position is available at the Junior/Researcher/Senior/Principal Researcher level.
  
Assist in developing presentations and present as part of a team.
+
'''Key research responsibilities''' include:
 +
* machine and deep learning for natural language processing/machine translation
 +
* software development and integration
 +
* publication in top-tier conferences and journals
  
Experience in using scholarly search engines, conducting literature searches, and writing research summaries or results.
+
'''General responsibilities''' include:
 +
* engagement with industry partners and contract research
 +
* identification of funding opportunities and engagement in proposal writing
 +
* contribution to teaching and supervision in accordance with University and DFKI rules and regulations
 +
* administrative work associated with programmes of research
  
Experience in using data analyses software.
+
'''Requirements:'''
 +
* MSc/PhD in computer science, machine learning, natural language processing, computational linguistics or similar
 +
* Strong background and track record in machine learning, neural nets and deep learning
 +
* Strong background and track record in NLP and MT - Excellent programming skills
 +
* Excellent problem solving skills, independent and creative thinking
 +
* Excellent team working and communication skills
 +
* Excellent command of written and oral English
 +
* Command of German and other  languages not a requirement but helpful
  
 +
The successful applicant will work in the DFKI MLT lab led by Prof. Josef van Genabith (Scientific Director MLT, DFKI, and Chair of Translation-Oriented Language Technologies, Saarland University).
  
'''Required Experience:'''  
+
'''Working environment:'''
 +
DFKI is one of the largest AI research institutes worldwide, with several sites in Germany, covering basic research and applications. DFKI is a not-for-profit company with more than 500 researchers from 60+ countries across the globe. DFKI is based on a shareholder model including globally operating companies such as Intel, Google, Microsoft, Nuance, SAP, BMW, VW, Bosch, Deutsche Telekom, several SMEs, three German universities and three German Federal States.
  
 +
The DFKI Multilingual Technologies lab partners in international, national and industry funded research projects in all areas of Language Technologies (including machine translation, question answering, information extraction, human-robot communication, speech and the multi-lingual web). The MLT lab currently leads the H2020 European Research project [http://www.qt21.eu/ QT21] on MT, the EU CEF funded [http://lr-coordination.eu/ ELRC] project and the EU funded [http://www.tradr-project.eu/ TRADR] project on human-robot collaboration in disaster response scenarios.
  
'''EDUCATION'''
+
The MLT lab is part of the DFKI site at the Saarland University campus in Saarbrücken, Germany. Saarland University has exceptionally strong Computer Science and Computational Linguistics departments, two Max Plank Institutes in Computer Science, an Excellence Cluster in [http://www.mmci.uni-saarland.de/en/start Multimodal Computing and Interaction] and several International Doctoral and Master programmes in Computer Science and Computational Linguistics. DFKI staff regularly engage in teaching and supervision at Saarland University.
  
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.
+
'''Geographical environment:'''
 +
[http://www.saarbruecken.de/en Saarbrücken] is the capital of Saarland with approximately 190,000 inhabitants. It is located right in the heart of Europe and is the cultural center of this border region of Germany, France and Luxembourg. Some of the closest larger cities are Trier, Nancy, Mannheim, Karlsruhe and Frankfurt. Paris can be reached by train in just under 2 hours. Living costs are modest in comparison with other large cities in Germany and elsewhere in Europe.
  
'''EXPERIENCE'''
+
'''Starting date, duration, salary:'''
 +
Preferred starting date is May/June 2017. The position is available until June 30, 2020, with opportunities for extension depending on performance and future funding. Compensation is competitive and reflects individual competence, seniority and special skills.
  
Six months of research-related experience is necessary.
+
'''Application:'''
 +
Applications are required to include a short cover letter, a CV, list of publications, a brief summary of research interests, and contact information for three references. Please send your electronic application (preferably in PDF format) to [mailto:mlt-sek@dfki.de Prof. Josef van Genabith] referring to job opening no. 22/17-JvG. Deadline for applications is March 31st, 2017. The position remains open until filled. Please contact [mailto:josef.van_genabith@dfki.de Prof. van Genabith] for informal inquiries.
  
Knowledge of introductory research methodology and statistics sufficient to analyze and interpret research study results.
 
  
 +
== Associate Research Scientist, UKP Lab, TU Darmstadt ==
  
ETS offers competitive salaries, outstanding benefits, a stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.
+
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
 +
* Title: Associate Research Scientist
 +
* Specialty: Interactive Machine Learning (IML) or Natural Language Processing for Language Learning
 +
* Location: Darmstadt
 +
* Deadline: March 8, 2017
 +
* Date posted: February 21, 2017
 +
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]
  
 +
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has two openings for an
  
 +
'''Associate Research Scientist'''<br />
 +
'''(PostDoc- or PhD-level; for an initial term of two years)'''
  
== Senior Research Scientist - Xerox Research Centre Europe ==
+
to strengthen the group’s profile in the areas of Interactive Machine
 +
Learning (IML) or Natural Language Processing for Language Learning.
 +
The UKP Lab is a research group comprising over 30 team members who
 +
work on various aspects of Natural Language Processing (NLP), of
 +
which Interactive Machine Learning and Natural Language Processing
 +
for Language Learning are the focus areas researched in collaboration
 +
with partners in research and industry.
  
* Employer: Xerox Research Centre Europe (XRCE) http://www.xrce.xerox.com/
+
We ask for applications from candidates in Computer Science with a
* Rank or Title: Senior Research Scientist
+
specialization in Machine Learning or Natural Language Processing,  
* Specialty: Statistical Natural Language Processing, Machine Learning
+
preferably with expertise in research and development projects, and
* Location: Grenoble, France
+
strong communication skills in English and German.
* Deadline: 31 July 2013 or until position is filled
 
* Date Posted: 2 May 2013
 
* Contact email: James.Henderson@xrce.xerox.com
 
  
'''Position Description'''
+
* The successful applicant in the area of Interactive Machine Learning will work on research activities regarding its application to end-user content annotation, information structuring and recommendation, or semantic text analysis, and development activities to create functional and attractive user-oriented product prototypes.
 +
* The successful applicant in the area of Natural Language Processing for Language Learning will work on research activities in automatically assessing language competencies and readability as well as on generating exercise material for language learners in intelligent real-time learning systems.
  
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.
+
Prior work in the above areas is a definite advantage. Ideally, the
 +
candidates should have demonstrable experience in designing and
 +
implementing complex (NLP and/or ML) systems, experience in
 +
large-scale data analysis, large-scale knowledge bases, and strong
 +
programming skills incl. Java. Experience with neural network
 +
architectures and a sense for user experience design are a strong  
 +
plus. Combining fundamental NLP research on Interactive Machine
 +
Learning or Natural Language Processing with practical applications
 +
in different domains including education will be highly encouraged.
  
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.  
+
UKP’s wide cooperation network both within its own research community
 +
and with partners from research and industry provides an excellent
 +
environment for the position to be filled. The Department of Computer
 +
Science of TU Darmstadt is regularly ranked among the top ones in
 +
respective rankings of German universities. Its unique research  
 +
initiative "Knowledge Discovery in the Web" and the Research Training
 +
Group [https://www.aiphes.tu-darmstadt.de/ "Adaptive Information Processing of Heterogeneous Content" (AIPHES)] funded by the DFG emphasize NLP, machine learning, text
 +
mining, as well as scalable infrastructures for the assessment and  
 +
aggregation of knowledge. UKP Lab is a highly dynamic research group
 +
committed to high-quality research results, technologies of the
 +
highest industrial standards, cooperative work style and close
 +
interaction of team members working on common goals.
  
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.
+
Applications should include a detailed CV, a motivation letter and an
 +
outline of previous working or research experience (if available).
  
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.
+
Applications from women are particularly encouraged. All other things
 +
being equal, candidates with disabilities will be given preference.
 +
Please send the applications to:
 +
[mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 08.03.2017. The positions
 +
are open until filled. Later applications may be considered if the
 +
position is still open.
  
'''Requirements'''
+
==  Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University ==
 +
*Employer: Northwestern University, USA
 +
*Title: Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University
 +
*Speciality: Open area
 +
*Location: Evanston, IL, USA
 +
*Deadline: April 1, 2017
 +
*Date posted: February 17, 2017
 +
*Contact: matt-goldrick@northwestern.edu
  
* PhD in Computer Science or Computational Linguistics
+
The Department of Linguistics at Northwestern University invites applications for a full-time, non-renewable, two year postdoctoral fellowship in any area of linguistics. We are looking for candidates who pursue an integrated, interdisciplinary approach to the scientific study of language, utilizing experimental methods, corpus analysis, and/or computational modeling to inform linguistic theory and its applications. The fellowship period begins September 1, 2017. Each year, the fellow will be expected to teach one undergraduate-level course in the Department of Linguistics. The fellow will also serve as an undergraduate adviser for the Cognitive Science Program, working with students pursuing the major and minor on academic issues (e.g., course selection, research opportunities, progress on degree requirements).
* NLP knowledge and experience
+
   
* Machine learning knowledge or experience
+
The fellow will join a vibrant interdisciplinary community of researchers from across the cognitive sciences (including communication sciences, computer science, learning sciences, music cognition, neuroscience, philosophy, and psychology). The fellow’s research will be supported by the facilities of the Department of Linguistics.
* Strong publication record
+
* Programming skills
+
To receive fullest consideration, applications should arrive by April 1, 2017. Candidates must hold a Ph.D. in Linguistics or a related field (e.g., Cognitive Neuroscience, Cognitive Science, Computer Science, Philosophy, Psychology, Speech and Hearing Sciences) by the start date. Please include a CV that includes contact information, brief statements of research and teaching interests (1-3 pages each), up to 3 reprints or other written work (including thesis chapters for ABD applicants), teaching evaluations (if available), and the names and contact information for three references. Please visit http://www.linguistics.northwestern.edu/ for online application instructions.
* Strong written and oral communications skills in English
+
 
+
E-mail inquiries should be directed to Matt Goldrick, Chair of the Department of Linguistics (matt-goldrick@northwestern.edu). Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women and minorities are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.
'''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
+
==  Postdoctoral Research Position in Interpretable Machine Learning at Cardiff University, UK ==
    * Acoustic and language modeling
+
*Employer: Cardiff University, UK
    * Robust speech recognition
+
*Title: Research Associate in Artificial Intelligence / Machine Learning
    * Signal processing
+
*Speciality: Vector Space Models, Deep Learning, Interpretable Machine Learning, Symbolic Models
    * Text-to-speech synthesis
+
*Location: Cardiff, UK
    * Natural language understanding and dialog
+
*Deadline: March 2, 2017
    * Machine translation (speech and text)
+
*Date posted: February 13, 2017
    * Speaker biometrics
+
*Contact: schockaerts1@cardiff.ac.uk
    * 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).
+
Applications are invited for a Postdoctoral Research Associate post in Cardiff University’s School of Computer Science & Informatics. This is a full-time, fixed-term post for 30 months, starting on 1 May 2017 or as soon as possible thereafter. The successful candidate will be dedicated to finding creative solutions and have a genuine curiosity and enthusiasm to undertake world-class research in the field of Machine Learning / Artificial Intelligence. Specifically, the aim of this post will be to develop novel methods for learning interpretable/symbolic models from diverse sources of information, including knowledge graphs, vector space models and natural language text. These models will then be used as background theories in applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning. You will work closely with Steven Schockaert. You will possess or be near the completion of a PhD in Computer Science or a related area, or have relevant industrial experience.  
  
Outstanding PhD-level candidates at all levels of experience and experienced M.S. candidates
+
This research will be part of the FLEXILOG project, which is funded by the European Research Council (ERC)
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
+
'''Essential criteria'''
  
Candidates must demonstrate a proven research track record and the ability to identify technical
+
* Postgraduate degree at PhD level, or near to completion of a PhD in a related subject area or relevant industrial experience
problems and research opportunities. Candidates with strong analytical and programming skills (Python, C, C++)
+
* An established expertise and proven portfolio of research and/or relevant industrial experience within at least two of the following research fields: Machine Learning, Knowledge Representation, Natural Language Processing.
are desired. Access to massive amounts of real-world data, the ability to work with internal and external
+
* A strong background in statistics and linear algebra.
collaborators across departments, the possibility of making an impact by developing solutions that will be used
+
* Excellent programming skills.
by millions, and the freedom to publish your results are some of the reasons AT&T Labs -  
+
* Knowledge of current status of research in specialist field.
Research is an exciting place to work.  
+
* Proven ability to publish in relevant journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, Journal of Machine Learning Research, Machine Learning) or top-tier conferences (e.g. IJCAI, AAAI, ECAI, NIPS, ICML, KDD, ACL, EMNLP).
 +
* Ability to understand and apply for competitive research funding.
 +
* Proven ability in effective and persuasive communication.
 +
* Ability to supervise the work of others to focus team efforts and motivate individuals.
 +
* Proven ability to demonstrate creativity, innovation and team-working within work.
  
AT&T Companies are Equal Opportunity Employers. Applications will continue to be considered until positions are filled.
+
'''Background about the university'''
  
 +
Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available. Various surveys have ranked it as one of the most liveable cities in Europe. Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. The school has a strong research track record recognised for its outstanding impact in terms of reach and significance, with 79% of its outputs deemed world-leading or internationally excellent in the 2014 Research Excellence Framework.
  
==Subject Matter Expert - Linguistics==
+
'''Background about the project'''
  
Employer: Assured Information Security, Inc<br>
+
Vector space embeddings have become a popular representation framework in many areas of natural language processing and knowledge representation. In the context of knowledge base completion, for example, their ability to capture important statistical dependencies in relational data has proven remarkably powerful. These vector space models, however, are typically not interpretable, which can be problematic for at least two reasons. First, in applications it is often important that we can provide an intuitive justification to the end user as to why a given statement is believed, and such justifications are moreover invaluable for debugging or assessing the performance of a system. Second, the black box nature of these representations makes it difficult to integrate them with other sources of information, such as statements derived from natural language, or from structured domain theories. Symbolic representations, on the other hand, are easy to interpret, but classical inference is not sufficiently robust (e.g. in case of inconsistency) and too inflexible (e.g. in case of missing knowledge) for most applications.  
Rank or Title: Subject Matter Expert<br>
 
Specialty: Linguistics<br>
 
Location: Rome, NY 13441<br>
 
Deadline: July 17, 2013<br>
 
Date Posted: June 17, 2013<br>
 
Link to website: http://www.Click2Apply.net/6q7549z<br>
 
  
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.
+
The overall aim of the FLEXILOG project is to develop novel forms of reasoning that combine the transparency of logical methods with the flexibility and robustness of vector space representations. For example, symbolic inference can be augmented with inductive reasoning patterns (based on cognitive models of human commonsense reasoning), by relying on fine-grained semantic relationships that are derived from vector space representations. Conversely, logical formulas can be interpreted as spatial constraints on vector space representations. This duality between logical theories and vector space representations opens up various new possibilities for learning interpretable domain theories from data, which will enable new ways of tackling applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning.
  
Roles and Responsibilities
+
'''More information'''
  
* Analysis of ongoing operations to identify and document end user requirements
+
For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5545BR. Please note the requirement to evidence all essential criteria in the supporting statement.
* 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
 
  
 +
==  Research Associates in Natural Language Processing / Text Mining,  University of Manchester, UK ==
 +
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
 +
*Title: Research Associates in Natural Language Processing / Text Mining
 +
*Speciality: Natural Language Processing, Text Mining
 +
*Location: Manchester, UK
 +
*Deadline: March 13, 2017
 +
*Date posted: February 10, 2017
 +
*Contact: sophia.ananiadou@manchester.ac.uk
  
Requirements
+
The School of Computer Science, National Centre for Text Mining at the University of Manchester seeks to appoint two Research Associates in Natural Language Processing-based Text Mining to expand its text mining research portfolio.
  
* Candidate must have 10 or more years of SIGINT experience to include field operations, analysis and reporting, training, and evaluation
+
They will join a strong team of 12+ staff who work on numerous national and international research projects, including industry, in areas of information extraction, disambiguation, topic analysis, natural language processing, biomedical text mining and machine learning. 
* 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
+
'''Skills'''
  
An active Top Secret/SCI security clearance and current investigation are required.
+
You should have a PhD in Computer Science with an emphasis on Natural Language Processing and Text Mining. The focus of your research will be in developing (semi)-supervised methods for information extraction, in particular relation, event extraction and normalisation; a proven ability to develop algorithms for NLP/text mining problems using deep learning will be highly desirable; knowledge of developing text mining workflows using UIMA based environment will be a plus.  You should have excellent programming skills, preferably in Java.  
  
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
+
* Duration of post: Immediately until 31st October 2018
related experience.
+
* Salary: £31,076-£38,183 per annum
  
Additional Notes
+
'''Research Team'''
  
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.
+
The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research”.
  
EEO/AA employer
+
Informal enquiries:  Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).
  
 +
Deadline of applications: 13/03/2017
  
[http://www.Click2Apply.net/6q7549z Apply Here]
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Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12975

Latest revision as of 13:16, 6 October 2017

Two Postdoctoral Positions on Interpretable Vector Space Models

  • Employer: Cardiff University
  • Title: Postdoctoral research associate
  • Speciality: Neural networks, statistical relational learning, natural language processing
  • Location: Cardiff, UK
  • Deadline: November 2 2017
  • Date posted: October 6, 2017
  • Contact: Steven Schockaert

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

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

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

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

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

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

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

Salaried 4-year PhD Position in Computational Linguistics/NLP at Stockholm University

  • Employer: Stockholm University, Sweden
  • Title: PhD candidate
  • Speciality: Computational Linguistics/Natural Language Processing
  • Location: Stockholm, Sweden
  • Deadline: October 16, 2017
  • Date posted: September 20, 2017
  • Contact: Robert Östling

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

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

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

Potential applicants are encouraged to contact Robert Östling to discuss possible thesis projects, or other issues related to the position.

Tenure Line Assistant Professor Position in Linguistics at Northwestern University

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

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

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

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

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

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

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

PhD-level Researchers, AIPHES, Darmstadt/Heidelberg

The Research Training Group "Adaptive Information Preparation from Heterogeneous Sources" (AIPHES), which has been established in 2015 at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling several positions for three years, starting on April 1st, 2018. Positions remain open until filled.

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

The positions provide the opportunity to obtain a doctoral degree in the research area of the training group with an emphasis, e.g., in graph-based discourse processing, in natural language processing tasks such as automated summarization, in representation and analysis of text-induced structures, in jointly analyzing text and images, or in a related area. The group will be located in Darmstadt and Heidelberg. The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.

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

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

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

Prerequisites

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

The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. The [http://www.cl.uni-heidelberg.de/ Institute for Computational Linguistics (ICL) of the Ruprecht Karls University Heidelberg] is one of the largest centers for computational linguistics both in Germany and internationally. The ICL and the NLP department of the HITS jointly run the graduate program “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 should be submitted via the following form by October 6th, 2017: https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/. In addition, applicants should be prepared to solve a programming and a reviewing task in the first two weeks after their application.


Postdoc Position on Sentence Understanding and Generation at NYU

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

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

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

For more details, see the full ad here:

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

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

  • Employer: University of Twente
  • Title: PhD position
  • Specialty: Natural Language Generation
  • Location: Enschede, The Netherlands
  • Deadline: 28 August, 2017
  • Date posted: August 4, 2017
  • Contact: Mariët Theune

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

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

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

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

  • Employer: SPARTED
  • Title: Project Researcher
  • Specialty: NLP, Machine Learning, Deep Learning, Information Extraction
  • Location: Paris (16), France
  • Deadline: Until candidate is found
  • Date posted: August 4, 2017
  • Contact: [1]; phone [+33] (06)52148693
  • Website: http://www.sparted.com

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

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

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

  • Employer: Universitat Pompeu Fabra [2], Barcelona, Spain
  • Title: PhD Scholarship
  • Specialty: Text Mining, Information Extraction, Music Information Retrieval
  • Location: Barcelona, Spain
  • Deadline: Until candidate is found
  • Date posted: June 10, 2017
  • Contact: [3]


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

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

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

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


Scientific System Developer, UKP Lab, TU Darmstadt

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

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

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

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

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

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

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the application to: jobs@ukp.informatik.tu-darmstadt.de by 31.05.2017. The position is open until filled. Later applications may be considered if the position is still open.

Questions about the position can be directed to: Johannes Daxenberger; phone: [+49] (0)6151 16-25297 We look forward to receiving your application!


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

  • Employer: Cardiff University
  • Title: Postdoctoral Research Associate
  • Specialty: vector space embeddings, statistical relational learning, knowledge representation, neural networks, explainable AI
  • Location: Cardiff, UK
  • Deadline: May 20, 2017
  • Date posted: April 20, 2017
  • Contact: Steven Schockaert

Applications are invited for two Postdoctoral Research Associate posts at Cardiff University’s School of Computer Science & Informatics:

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

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

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


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


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

  • Employer: University of Colorado Boulder
  • Title: Postdoctoral Research Associate
  • Specialty: Advanced Machine Learning
  • Location: Boulder, Colorado, United States
  • Deadline: Ongoing, desired start Summer/Fall 2017
  • Date posted: March 31, 2017
  • Contact: Dr. Sidney D’Mello

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

The Institute of Cognitive Science (ICS) and Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral fellow starting Summer/Fall 2017 for one year and renewable for a second year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.

The postdoc will develop and apply machine learning techniques in the hierarchical and temporal domains to model behavioral and mental states (e.g., affect, attention, workload) from multimodal data (e.g., video, audio, physiology, eye gaze) across a range of interaction contexts (e.g., online learning, in-class learning, collaborative problem solving).

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

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

Required

  • Ph.D. in Computer Science, Artificial Intelligence, or a related field (at the time of hire)
  • Research experience in advanced machine learning for temporal and hierarchical domains (e.g., probabilistic graphical models, deep recurrent neural networks) applied to human behavior and mental state analysis (e.g., affective computing, dyadic/triadic interaction)
  • Self-motivated with a strong work ethic and writing proficiency as evidenced by a strong publication record

Desired

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

Job Details

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

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

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

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

Questions
Please email Dr. Sidney D’Mello


Researcher in Machine Learning and NLP, DFKI, Germany

  • Employer: DFKI GmbH, Germany
  • Title: Researcher
  • Specialty: Machine Learning and Natural Language Processing, Deep Learning, Machine Translation
  • Location: Saarbruecken
  • Deadline: March 31, 2017
  • Date posted: March 13, 2017
  • Contact: Prof. Josef van Genabith

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

Key research responsibilities include:

  • machine and deep learning for natural language processing/machine translation
  • software development and integration
  • publication in top-tier conferences and journals

General responsibilities include:

  • engagement with industry partners and contract research
  • identification of funding opportunities and engagement in proposal writing
  • contribution to teaching and supervision in accordance with University and DFKI rules and regulations
  • administrative work associated with programmes of research

Requirements:

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

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

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

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

The MLT lab is part of the DFKI site at the Saarland University campus in Saarbrücken, Germany. Saarland University has exceptionally strong Computer Science and Computational Linguistics departments, two Max Plank Institutes in Computer Science, an Excellence Cluster in Multimodal Computing and Interaction and several International Doctoral and Master programmes in Computer Science and Computational Linguistics. DFKI staff regularly engage in teaching and supervision at Saarland University.

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

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

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


Associate Research Scientist, UKP Lab, TU Darmstadt

  • Employer: UKP Lab, Technische Universität Darmstadt, Germany
  • Title: Associate Research Scientist
  • Specialty: Interactive Machine Learning (IML) or Natural Language Processing for Language Learning
  • Location: Darmstadt
  • Deadline: March 8, 2017
  • Date posted: February 21, 2017
  • Contact: Prof. Iryna Gurevych

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

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

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

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

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

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

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

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

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the applications to: jobs@ukp.informatik.tu-darmstadt.de by 08.03.2017. The positions are open until filled. Later applications may be considered if the position is still open.

Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University

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

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

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

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

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

Postdoctoral Research Position in Interpretable Machine Learning at Cardiff University, UK

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

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

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

Essential criteria

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

Background about the university

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

Background about the project

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

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

More information

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

Research Associates in Natural Language Processing / Text Mining, University of Manchester, UK

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

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

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

Skills

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

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

Research Team

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

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

Deadline of applications: 13/03/2017

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