Doctoral Fellowship in Computational Linguistics 2019, University of Gothenburg, Sweden

Doctoral position, one or several, in Computational Linguistics

The Department of Philosophy, Linguistics and Theory of Science at the Faculty of Arts has about 100 staff members and a student body corresponding to about 350 full-time equivalents. It is home to a large number of national and international research projects and offers courses and degree programs for philosophers, logicians, linguists, language technologists, theorists of science, historians of philosophy, philologists and philosophy teachers. The Department also arranges doctoral education and development work in its various academic domains.

The Centre for Linguistic Theory and Studies in Probability (CLASP) is based in FLoV at the University of Gothenburg, and is funded by a 10 year grant from the Swedish Research Council (2015-2025). CLASP is devoted to research and advanced training in the application of probabilistic modelling and machine learning methods to core issues in linguistic theory and cognition. It also addresses topics in dialogue and linguistic interaction. 
Subject

Computational Linguistics

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 program 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 more information click "LINK TO ORIGINAL" below.