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plus Experience in modeling, simulation and machine learning Basic knowledge of control engineering Experience in reinforcement learning is not required but highly beneficial Very good command of
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: Master’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related fields Strong background in at least one of the following: robot motion planning and control
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engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Our team is seeking a highly motivated Research Associate to contribute to cutting-edge research in
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engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Our team is seeking a highly motivated Research Fellow to contribute to cutting-edge research in
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accepted all year round Details Dynamic optimization is integral to many aspects of science and engineering, commonly found in trajectory optimization, optimal control (e.g. model predictive control
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16 Sep 2026 Job Information Organisation/Company University of Agder (UiA) Research Field Computer science » Other Engineering » Control engineering Engineering » Other Researcher Profile First Stage
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16 Sep 2026 Job Information Organisation/Company University of Agder (UiA) Research Field Computer science » Other Engineering » Control engineering Engineering » Other Researcher Profile First Stage
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Design data-driven methods for power system stability assessment and control with stochastic resources Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert knowledge in
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join the Sheffield Control and Power Systems (CAPS) Laboratory ( https://www.sheffield.ac.uk/acse/department/facilities/control-and-power-systems-lab ), led by Prof Xin Zhang as the Chair in Control and
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mobile robotic control systems Collaborating on development and implement estimation algorithms for time and frequency estimation Integrate estimation and control algorithms into various experimental