PhD position in Computational Semantics Utrecht University, Utrecht Institute of Linguistics Netherlands

PhD position in Computational Semantics (1.0 FTE)

 

Job description


The Utrecht Institute of Linguistics (UiL OTS) invites applications for one PhD position in the area of computational semantics within the research programme Forests and Trees: the Formal Semantics of Collective Categorization. This is a five-year research programme funded by an Advanced Grant from the European Research Council (ERC), and led by Prof. Yoad Winter (Principal Investigator). The project aims to investigate the mechanisms underlying our linguistic ability to conceptualize collections. This use of language is exemplified by the sentence “the Rockies are near” which categorizes a collection of mountains by estimating distance from the nearest mountain in the Rockies. Collective categorization is ubiquitous in language. It forms an important probe into the connections between grammar and the mind, and is crucial for artificial intelligence. For instance, a command to a domestic robot such as “take those books out of their packages and arrange them alphabetically on the shelf” requires the robot to act on individual books while understanding internal relations within the collection. Similarly, spatial collective categorization is also important for natural language interfaces of Geographic Information Systems.

 

The research programme takes an interdisciplinary approach and makes use of theoretical and empirical insights from linguistics and psychology, as well as formal and computational methods from computational linguistics/natural language processing. The programme consists of three work packages: in psycholinguistics, formal semantics and computational linguistics. This job opening concerns a PhD position within the computational work package, which is carried out with the collaboration of Dr. Tejaswini Deoskar (ILLC/UvA and Utrecht University) and Dr. Joost Zwarts (Utrecht University).

 

PhD Project - Collective categorization using geometric features of concepts

 

This project will make use of large language corpora and modern machine learning methods in order to analyse spatially-based concepts expressed in language (“the Rockies are far”, “the books are inside the box”, “the soldiers are surrounded”). The project’s methodology will involve an interaction between data-driven machine learning and semantic parsing approaches, as well as principles in formal semantics for analysing spatially-based collective categorisation. The candidate for this position should have a strong background in artificial intelligence, machine-learning and computer science as well as an interest in formal semantics. The successful applicant will be supervised by Dr. Tejaswini Deoskar and the PI, in collaboration with Dr. Joost Zwarts. The PhD candidate will have the opportunity to study the above topic based on their own expertise and research ideas, while keeping to the broad goals of the project. The project will also involve the opportunity of collaborating with a broader team of NLP researchers, especially from the Language and Computation group at the ILLC, University of Amsterdam (Prof. Khalil Sima’an, Dr. Jelle Zuidema) and from City, University of London (Prof. James Hampton, Psychology).


Tasks for the PhD candidate will include:

 

  • completion and defence of a PhD thesis within four years;
  • regular presentation of intermediate research results at workshops and conferences;
  • publication of at least two peer-reviewed articles in established international journals or conference proceedings;
  • help with organisational tasks connected to the project, such as the organisation of conferences and workshops;
  • participation in all training programmes and expert meetings scheduled for the project;
  • participation in selected training programmes scheduled for the Research Institute, Graduate School and the National Research School.

 

Qualifications


Applicants should hold, or be about to complete, an excellent Master's degree in Computational Linguistics, Computational Psycholinguistics, Artificial Intelligence, Computer Science, or a related field. Candidates with an interdisciplinary background are particularly encouraged to apply. Good programming skills, proficiency in spoken and written English, as well as a keen interest in problem solving and research are essential.

 

Offer


The successful candidate will be appointed on a fixed-term full-time basis (38 hours per week/1,0 FTE), starting 1 June 2018 or soon thereafter. The appointment is initially for a period of 18 months. Upon good performance and a positive evaluation, the contract will be extended for the remaining period of 30 months (4 years in total). The gross monthly salary starts at €2,222 in the first year, and ends at €2,840 in the fourth year, (scale P Collective Labour Agreement Dutch Universities) for a full-time employment.

 

Salaries are supplemented with a holiday bonus of 8 % and a year-end bonus of 8.3 % per year. We offer a pension scheme, collective insurance schemes and flexible employment conditions (multiple choice model). More information is available at: working at Utrecht University.


About the organization


A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University, the various disciplines collaborate intensively towards major societal themes. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Sustainability.

 

The Faculty of Humanities has around 7,000 students and 900 staff members. It comprises four knowledge domains: Philosophy and Religious Studies, History and Art History, Media and Culture Studies, and Languages, Literature and Communication. With its research and education in these fields, the Faculty aims to contribute to a better understanding of the Netherlands and Europe in a rapidly changing social and cultural context. The enthusiastic and committed colleagues and the excellent amenities in the historical city center of Utrecht, where the Faculty is housed, contribute to an inspiring working environment.

 

The UiL OTS is part of Utrecht University, one of the largest comprehensive universities in Europe, with a rich history dating back to 1636. The institute offers a very international English-speaking research environment. Researchers at UiL OTS are distributed across 6 research groups, focusing on the following range of linguistic subdomains: Language, Logic and Information (to which the current project belongs), Linguistic Theory and Language Acquisition, Language Processing and Language Pathology, Language Variation, Language and Education, Language and Communication. It comprises approximately 20 Full Professors, a dozen Postdocs and roughly 40 PhD students. The institute is located in the beautiful and historic city of Utrecht, with excellent connections to both Amsterdam (20 minutes by train) and to the rest of Europe and beyond.

 

Additional information


If you are interested, please contact the Project Director, Yoad Winter or the Research Coordinator at UiL OTS Maaike Schoorlemmer for more information.


Apply


Applications should consist of the following materials:

  • a cover letter of maximum two A4 pages explaining the applicant’s reasons for applying for the position and how they can contribute to the project in terms of expertise;
  • a cv;
  • a writing sample of maximum 7,000 words. This can (but need not) be a chapter of the applicant’s Master’s thesis. In this case, however, it is expected that the writing sample would still be sufficiently self-contained;
  • copies of relevant diplomas and grade transcripts (these need not be certified at the time of application, but it is expected that certified copies can be provided at a later date);
  • names and full contact details of two academic referees.

 

Please include your name and a reference to the position you are applying for in the filenames and use the application button below to apply.

Interviews will be held during the 1st half of April 2018.

 

The application deadline is
15/03/2018


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