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Job Description If you are establishing your scientific career in robotics, control, and AI and want to contribute to the next generation of intelligent robotic systems, this position offers a unique
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engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent Path Planning for Autonomous Drone Operations
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, electrical interfaces, mechanical module design or control. The research will contribute methods for understanding resilient machines as physical systems and for maintaining human control as their ability to
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Professor (all ranks) – Physical AI in Robotics & Manufacturing Arizona State University: Office of the University Provost: Ira A. Fulton Schools of Engineering: School of Manufacturing Systems and
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-engineering-design/ Automation: https://www.chalmers.se/en/departments/e2/research/systems-and-control/automation/ Who we are looking for The following requirements are mandatory: To qualify as a
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-physical power systems) , the PhD student will join the Electrical Machines and Drives Research Group within Sheffield Engineering Faculty. Specifically, the PhD student will join the Control and
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processing, electrical engineering or a related subject. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd Applicants can
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turbine instabilities. The project aims to develop novel AI-based control strategies that enable safer and more flexible operation of hydropower systems under changing operating conditions. Your work will
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, manufacturing, control & systems engineering, physics, chemistry, or other related degrees are expected to have a suitable background for this topic of research. As well as fundamental knowledge of physical
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researchers working on battery modelling, ageing diagnostics and energy-system analysis Your Profile A university Master’s degree in electrical engineering, control engineering, mechanical engineering