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of Engineering We are seeking a motivated and collaborative individual to join as a Postdoctoral Research Associate in Feedback Control Theory / Mathematical Systems Theory. This is an exciting opportunity
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Part-Time PhD Opportunity in Control Systems and Robotics (Postgraduate Research Teaching Associate)
Research theme: Control Systems and Robotics How to apply:uom.link/pgr-apply Number of positions available: 1 Applications are invited for a part-time PhD position within the Control Systems and
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supervisors. A wide variety of PhD projects is available; example project areas are: Human-machine teaming AI agents for air traffic control Weak signal analysis for air traffic control room situational
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resilience of industrial control and cyber-physical systems. Working within the EPIC research cluster, the successful candidate will collaborate with leading researchers at New York University and University
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operation of integrated converter-motor systems. Research environment Applications are invited to join the Power Electronics, Machines and Control (PEMC) Research Group at the University of Nottingham. Based
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operation of integrated converter-motor systems. Research environment Applications are invited to join the Power Electronics, Machines and Control (PEMC) Research Group at the University of Nottingham. Based
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on solving challenges at the interface of Synthetic Biology, Control Engineering, AI, and Robotics, and their application to global challenges across biotechnology. The approaches taken will depend
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-term to the 30th June 2027. We are seeking a highly motivated postdoctoral researcher to investigate the safety, security, control, and capabilities of advanced AI systems, with a particular focus on
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for this role will develop new techniques for orchestrating security controls in dynamic and complex systems undergoing frequent changes to their function and security requirements. This work will involve
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About the role In this role, you will undertake high-quality research in Automatic Control and related areas such as aerospace systems, autonomous systems, power networks, digital manufacturing