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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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analysis, with the long-term goal of enabling health-aware battery management and optimized charging strategies. Qualifications Requirements A doctoral degree or an equivalent foreign degree in Control
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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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completing the doctoral degree. The position is a temporary employment with a maximum period of 3 years. The postdoc researcher position mainly involves research where the candidate will independently plan and
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of navigating extremely large compositional spaces while simultaneously optimizing multiple target properties such as optical performance, stability, and sustainability. Who we are looking for We seek a highly
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or physiology. Further, postdocs should have a deep interest in scientific collaboration between researchers using theoretical and empirical approaches. The five projects are: A. Sensing the breaking point
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postdoctoral position focused on innovative research in coupled transport-energy modeling and optimization. We are looking for a postdoc to join our team. Become part of our innovative group and contribute
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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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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