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application! We are looking for a PhD student in automatic control. Your work assignments You will work within a project focused on optimization, planning, and decision-making in control systems involving
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charging stations is influenced by different system solutions. Methods to be used include data analysis, modeling, simulation, and optimization. The research is part of a larger project that also, in
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IEI at Linköping University. This PhD project, funded by Saab, focuses on developing advanced optimization-based control algorithms for control allocation for next-generation fighter aircraft. Control
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evaluating efficient and scalable techniques for systems that process and answer such queries (e.g., query optimization algorithms, adaptive query processing approaches). Conducting this research work includes
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meritorious include: Knowledge of machine learning, reinforcement learning, and optimization, Experience with multi‑modal sensor data (vision, force/torque, proprioception), Experience with simulation
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in clinically relevant environments. Key work assignments include: Design, fabrication, and optimization of high-performance plasmonic nanostructures and SERS substrates for sensing in complex
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well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive
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formation and how local dose is distributed. In the longer perspective, this knowledge will support optimization and translation of bioelectronic implants towards clinical application. In this project, you
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in AI. We expect an excellent publication record in areas such as automated planning, machine learning, logic or combinatorial optimization. Furthermore, candidates should have very good programming
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systems, complex networks, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the