Type of employment: Permanent post
Extent: 100 %
Location: Department of Philosophy, Linguistics and Theory of Science, Gothenburg
First day of employment: 2016-09-01
Reference number: PET 2016/145
The University of Gothenburg tackles society's challenges with diverse knowledge. 37 000 students and 6 000 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract scientists and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.
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).
The successful candidate is expected to devote her or his time in providing programming expertise for the Centre of Linguistic Theory and Studies in Probability. S/He will be a full member of the research teams working at CLASP and will take part in the design and implementation of research projects on an ongoing basis. CLASP focuses on a number of issues in Computational Linguistics, most importantly: a) Type Theory and Probability, b) Machine Learning and Deep Learning Methods for NLP, c) Dialogue Modelling as well as the interaction between the three.
The successful candidate must possess an MSc or equivalent in Computer Science or a related discipline. S/He must possess documented skills and experience in a variety of current programming languages and platforms, as well as an affinity with issues in NLP. Background in one or more of the following research fields is desired:
- Type Theory\
- Machine Learning\
- Deep Learning\
- Theorem Proving\
- Bayesian Reasoning\
- Neural Networks
Possession of a PhD is a plus but not mandatory.
Programming and scientific proficiency is the most important criterion for assessment, and special attention will be given to the applicant's MSc (and/or PhD thesis if available), programming experience and to her/his cover letter. Priority will be given to applicants with familiarity with issues in NLP and theoretical issues related to CLASP's core research areas. Documented good interpersonal skills and good skills in terms of planning and organizing research and communicating their own research results is also meritorious.
The applicant shall in addition to the cover letter, cited documents and other documents provide contact information for two academics familiar with the research work of the applicant, for further contact/reference. The recruitment process may also include interviews.