LINGUIST List 28.1402

Tue Mar 21 2017

Support: Computational Linguistics / Sweden

Editor for this issue: Clare Harshey <>

Date: 20-Mar-2017
From: Stergios Chatzikyriakidis <>
Subject: Computational Linguistics: PhD, University of Gothenburg, Sweden
E-mail this message to a friend

Department: Philosophy, Linguistics and Theory of Science
Level: PhD

Institution/Organization: University of Gothenburg

Duties: Research

Specialty Areas: Computational Linguistics


Doctoral studentship position, one or several, in Computational Linguistics

The Centre for Linguistic Theory and Studies in Probability (CLASP) focusses its research on the application of probabilistic and information theoretic methods to the anaysis of natural language. CLASP is concerned both with understanding the cognitive foundations of language and developing efficient language technology. We work at the interface of computational linguistics/natural language processing, theoretical linguistics, and cognitive science. The Centre is based in FLoV at the University of Gothenburg, and is funded by a 10 year grant from the Swedish Research Council (2015-2025). For a description of CLASP see

Job assignments

The successful candidate is expected to devote her or his time primarily to the completion of obligatory course work and to write a doctoral dissertation. He or she may, however, also undertake a limited amount of teaching, administration or research not directly connected to her or his dissertation topic. Such duties extend the position accordingly. As the position is funded in part by a research grant from the Swedish Research Council the successful candidate should write her or his doctoral thesis within one of the CLASP's core areas and the research should fit in within the research programme of the centre. People working on one or more of this areas as well as their interface, are strongly encouraged to apply. More specifically, people in CLASP are currently conducting research in linguistics and computational linguistics using ideas from the following research areas:
- Type Theory (or logics) and probability
- Machine Learning including Deep Learning and Neural Networks
- Theorem Proving and Bayesian Reasoning
- Formal Models of Dialogue and Linguistic Interaction
- Combining logical and Machine Learning/Deep Learning approaches
- Models combining language and perception

Applicants with interests in these or related domains are encouraged to apply. The doctoral student is also expected to participate in the department's activities, such as workshops, seminars and conferences.

For information about eligibility, assessment, other requirements, as well as a link to the application portal, please see the application URL below.

Applications Deadline: 18-Jun-2017

Web Address for Applications:

Contact Information:
        Dr. Stergios Chatzikyriakidis

Page Updated: 21-Mar-2017