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, including reinforcement learning and multiobjective stochastic optimisation. These methods will be applied to cooling solutions at the building, district, and city scale, where innovative and energy-efficient
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Are you interested in neuromorphic spintronic and can you contribute to the development of the project? Then the Department of Electrical and Computer Engineering invites you to apply for a one year
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has a strong background in control engineering, with documented expertise in optimal control, adaptive control and online optimization, stochastic systems, Bayesian inference, and state estimation and
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on aspects of fracture processes, stochastic material behavior, and the development of physics-based models that can bridge the gap between continuum mechanics descriptions and disorder-driven statistical
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on aspects of fracture processes, stochastic material behavior, and the development of physics-based models that can bridge the gap between continuum mechanics descriptions and disorder-driven statistical