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feedback linearization, enabling control of nonlinear systems under uncertainty and partial model knowledge, Learning dynamics within control loops, integrating adaptive and optimization-based updates (e.g
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optimally for future challenges. This PhD position is part of the SecReSy4You MSCA Doctoral Network, which focuses on developing next-generation methods for security and resilience of cyber-physical systems
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and a MW scale greenhouse hub operated by Division Q. This PhD position is well suited for candidates eager to work at the intersection of nonlinear systems, optimal control, and energy systems
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hybrid dynamical systems and control, optimization, and its application to cyber security. Familiarity with Lyapunov based analysis and control design tools is a must. This PhD position is part of a
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Vacancies PhD position on Neuromorphic Quantum-Inspired Optimisation and Simulation Key takeaways This position is part of the European EIC Pathfinder Open project Neuromorphic Quantum-Inspired
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. Specifically, you will work on modelling and evolving nonlinear dynamical systems that can solve optimal feedback control problems. Models will be tested in simulated robotics environments. I quickly found my