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simulations and finite element analysis, with high-heat flux electron beam experiments. The research will simulate and replicate steady, cyclic, and transient thermal loads to better understand PFM behaviour
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relevance. A digital twin framework for safe, simulation-based validation before deployment in operational wind farms. Develop explainable AI (XAI) frameworks and human-computer interfaces that enable wind
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to apply For further information please contact: Name: Dr Francesco Fanicchia Email: Francesco.fanicchia@cranfield.ac.uk If you are eligible to apply for this studentship, please complete
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opportunities. How to apply For further information please contact: Name: Dr Francis Hassard Email: francis.hassard@cranfield.ac.uk Phone: 00447951810958 If you are eligible to apply for this research
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project would suit students with a background in electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering
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electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees
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opportunities. How to apply For further information please contact: Name: Dr Mengwei Sun Email: Mengwei.sun@cranfield.ac.uk Phone:(44) 07594731903 If you are eligible to apply for this studentship, please
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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Email: barmak@cranfield.ac.uk If you are eligible to apply for this studentship, please complete the online application form. Please note that applications will be reviewed as they are received. Therefore
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research degree with a wealth of social and networking opportunities. How to apply For further information please contact: Name: Enric Grustan-Gutiérrez Email: e.grustan