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or equivalent in Mathematics, Telecommunications and Computer Science. Experience: The ideal candidate should have some knowledge and/or experience in several of the following topics: Experience with Machine
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if there are special grounds, for example, different types of statutory leave of absence. The research tasks require a solid mathematical background with proven advanced experimental capabilities and excellent
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group with broad research competences and interests, with expertise covering mathematics, engineering, computer science and social sciences. We offer excellent working conditions in an international and
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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