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. You will design and optimize resilience mechanisms that estimate disruption risk and proactively reconfigure the transport network to enable autonomous recovery, self-healing, and graceful degradation
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AI-driven decision making. It will be conducted in collaboration with the Automatic Control group (from Department of Electrical Engineering) and the Mathematical Optimization group (from Department
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between faculty, postdoctoral researchers, PhD students, and external partners from academia and industry. The Department of Physics and Astronomy is one of the largest departments at Chalmers University
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will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses in
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platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional microtumor models. The project
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expected to contribute to the development of the group. Qualification requirements The applicant is required to have a PhD degree in energy engineering. The applicant must have completed the degree
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robotics – reinforcement learning, whole-body model predictive control (MPC), and differentiable optimal control – to simulate human balance and step recovery in urban transport scenarios. The goal is a
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Qualifications for Project A To qualify for the fellowship, the candidate should hold a PhD degree, or a foreign degree that is deemed equivalent, in computational biology, biophysics, mathematical biology