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Job Description Job Alerts Link Apply now Research Fellow (Robotic System Control) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Mechanical Engineering
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research / technical hands-on experience in building energy/power system control & optimisation. Familiarity with building energy/power system control & optimisation, building automation and control
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and multi-agent model predictive control algorithms. Familiarity with optimisation techniques, machine-learning methods and data-driven modelling. Familiarity with robotics and autonomous-system
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development of solid-state transformer technologies, including converter topology design, control, protection, system integration, and performance evaluation. Design and build laboratory-scale power
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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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. Contribute to hybrid powertrain development, including system integration, coordinated torque control, and energy management optimisation to improve efficiency and reduce emissions. Develop and
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work on a project in the area of interconnected power system stability analysis and control . Key Responsibilities: Develop a measurement-based approach to derive the static and dynamic equivalence
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following areas: robotics, control, biomechanics, wearable robotics, human movement, sensing, or artificial intelligence. Experience with robotic system development, computational modelling
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Go Home Research Fellow in Automated Car Modelling and Control (5384) Share page Project menu Apply now Print Research Fellow in Automated Car Modelling and Control Organisation Cranfield University
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Position Summary We cordially invite applications for a full-time postdoctoral scholar position at Michigan State University. The position will focus on the modeling, system design, and optimal