PhD position in Proof Theory of Modal Logics (1.0 FTE)

Updated: over 2 years ago
Deadline: 29 Nov 2021

Applications are invited for a fully-funded 4-year PhD position in Proof Theory of Modal Logics at the Fundamental Computing group at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen.

We are looking for excellent candidates interested in conducting research in the proof theory of modal logics. Modal logics are non-classical logics that have numerous applications in computer science, AI, and philosophy. Propositional Dynamic Logic (PDL) and Game Logic are some notable examples - these logics are able to represent dynamic features of programs and games and thus provide a framework for reasoning about program correctness and what players can achieve in strategic games. Proof theory is the branch of Logic that studies a logic based on a formal (mathematical) notion of its proof system and its proofs. Despite having been introduced more than 40 years ago, dynamic modal logics do not yet possess a well-developed proof theory.

A potential research project would be to develop refined proof systems for modal logics such as PDL and Game Logic with the aim of using these proof systems to determine their logical properties. Other research projects in the area of modal logic and proof theory are also possible, based on the background and interests of the candidate.

The PhD candidate will be supervised by Prof. Helle Hvid Hansen and dr. Revantha Ramanayake. Potential candidates are encouraged to contact the supervisors well in advance to discuss their interests and learn about the possibilities.

As a PhD candidate, you will conduct original research leading to a PhD thesis, completed within the 4 years of the appointment and defended at the University of Groningen. You are expected to present your research results at seminars and international conferences, and to publish in conference proceedings and journals. You are expected to make a small contribution (at most 10%) to teaching e.g. as a teaching assistant or supervising student projects.



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