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-quality research on the intersection of machine learning, control, optimization and/or power system dynamics, both from a theoretical/analytical point of view and in terms of coding. We are looking for
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, reliability, and autonomy Design and implement advanced control strategies (e.g., model predictive control, adaptive control, feedback/feedforward control, ML-based controls) for thermal system
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, mechatronics, or controls researcher with demonstrated experience in automation, system integration, and PLC programming. Experience with AI/ML-based control is a strong plus. No prior background in
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, mechatronics, or controls researcher with demonstrated experience in automation, system integration, and PLC programming. Experience with AI/ML-based control is a strong plus. No prior background in
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Postdoctoral Researcher in Industrial Digital Twin and Intelligent Control Systems Xi'an Jiaotong - Liverpool University – School of Intelligent Manufacturing Ecosystem ABOUT XJTLU In 2006 Xi’an
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Postdoctoral Researcher in Industrial Digital Twin and Intelligent Control Systems Xi'an Jiaotong - Liverpool University – School of Intelligent Manufacturing Ecosystem ABOUT XJTLU In 2006 Xi’an
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Position Summary The successful candidate will work on cutting-edge research at the intersection of vehicle dynamics, control theory, and AI-enabled autonomy , with a focus on real-world deployment
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, and/or robotics for greenhouses and vertical farming systems. The successful candidate will focus on robot hardware development, automation system design, machine vision, and intelligent control
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(BMS) design, microgrid optimization, and control system development. You should be experienced in designing systems to meet state-of-the-art standards, selecting components based on performance
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dynamically restricting, routing, and stabilizing trajectories through neural state space. We are interested in whether relatively low-dimensional inhibitory or feedback control signals can reorganize