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Field
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based in the Department of Informatics within the Faculty of Natural, Mathematical & Engineering Sciences (NMES), an internationally recognised centre for research in robotics, artificial intelligence
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students. The group is led by Professor Ilkka Tittonen. Your experience and ambitions Applicants are expected to hold a Master’s degree and excellent study records in theoretical physics, mathematics
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in the last 1-3 years, in a quantitative discipline, such as Computational Biology, Computer Science, Biomedical Engineering, Electrical Engineering, Data science, Physics, Mathematics, Bioinformatics
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corresponding to a master’s degree related to the subject area of the project (e.g., Economics, Environmental and Resource Economics or Applied Mathematics). Please note that your master’s degree must be
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, reinforcement learning, multi-objective optimization (mathematical programming, heuristics/meta-heuristics). Proven success as PI/co-PI or primary writer on large proposals (e.g., NSF/DOE/DoD/state/industry), and
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a Master’s degree or equivalent in AI or a related field of research. You have excellent mathematical and Python programming skills. Experience with Jax is welcome. You are a motivated team player