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Position: Research Fellow in Theory of Co-Evolutionary Computation
Institution: University of Birmingham
Location: Birmingham, West Midlands, United Kingdom
Duties: Applications are invited for a 3-year Research Fellowship in the theory of co-evolutionary computation. Co-evolutionary algorithms are heuristic optimisation techniques, mimicking biological principles of natural selection, e.g. for minimax/robust optimisation and learning game playing strategies. Such algorithms have been successfully applied to various industrial optimisation domains. However, the theoretical understanding of these methods has been limited. The successful candidate will contribute, together with other project team members and international academic and industrial partners, towards developing the theoretical foundation necessary for the design of efficient and reliable co-evolutionary algorithms. The fellowship is funded by the UKRI Turing AI Acceleration Fellowship project “Rigorous Time-Complexity Analysis of co-Evolutionary Algorithms”, providing generous travel allowance, computing facilities etc
Requirements: Hold (or be close to obtaining) a PhD in a relevant subject, ideally on the theory of evolutionary computation, algorithmic game theory, algorithms and computational complexity, stochastic processes/probability theory, or discrete mathematics. Significant contributions made to world-class research in one or more of the above topics, experience in writing peer-reviewed papers for leading journals and conferences Proficiency in (or desire to learn) mathematical techniques relevant for the analysis of evolutionary algorithms and other randomised algorithms
   
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