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Failure Analysis of Composite Sleeves for Surface Permanent Magnet Electrical Machines This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites
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degree. A good knowledge and/or experience in chemical experimental techniques is essential, as is the ability to work well in a team. Prior experience in the areas of computational chemistry or analytical
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prototypes aimed at powering the next generation of electric vehicles and aerospace propulsion systems. The skills developed in this PhD are highly transferable and will offer career pathways across sectors
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for 2025/26 academic year, increasing in line with inflation). Research training and support grant (RTSG) of £3000 per year. Funding is available for 4 years. Hours: Full Time Closes: Open until position
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in electrical machines within the globally renowned Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art
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-frequency Joule losses. Litz wire is one of the most promising solutions due to its exceptional ability to reduce AC losses and boost power density. Today's modelling tools are not yet equipped to fully
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related methodologies, as well as the ability to collaborate with others (internally and externally), is essential for the role. We encourage applicants with a range of skill sets to apply. This role could
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/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop
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offers an exciting opportunity to undertake cutting edge research in electrical machines within the globally renowned Power Electronics, Machines and Control (PEMC) Research Institute , University
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to the commencement of the PhD. Vision We are seeking for a highly motivated PhD student to conduct cutting edge research of the AI techniques that will power future flexible manufacturing systems. Together, we will