Research Associate in Computer Science Logic

3 weeks ago


Sheffield, United Kingdom University of Sheffield Full time

Are you interested in working for a top computer science department in the UK? Would you like to contribute to work on logical foundations of probabilistic data and complexity theory utilising real numbers? Are you interested in a logical approach to quantum information theory? Do you have expertise in finite model theory, logic in computer science, or foundation of quantum information theory? Applications are invited for a Research Associate to work with Dr Virtema in a German Research Foundation (DFG) funded project “Logical approach to quantum mechanics”.

The position is situated within the theory theme of the Department of Computer Science at The University of Sheffield, which is composed of the verification and algorithms research groups encompassing around 10 academic staff. Within the project, you will have the opportunity to work with leading groups and academics (e.g., from University of Helsinki, Hasselt University, Leibniz Universität Hannover, and UC Santa Cruz) that have significant expertise in finite model theory, complexity theory, on the logical foundations of databases and quantum information theory, and on theoretical computer science as a whole.

With researchers at the partner universities, you will develop theory related probabilistic team semantics, descriptive complexity of real number computation and/or their connections to quantum information theory. Collaboration with project partners will provide you with the opportunity to further extend and develop your knowledge in a range of areas associated with finite model theory and logical foundations.

We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.

We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.



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