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to funding restrictions this PhD position is only available to UK nationals. As this position is sponsored by the MTC, any successful candidate would need to pass the sponsors own security checks prior
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diffraction sample environment capabilities. Eligibility and Application Due to funding application restrictions, the position is only available for UK/eligible for home fees candidates. Project start date and
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enhance system reliability and safety, aligning with the UK’s NetZero targets. Aim You will have the opportunity to build a high-fidelity process simulation and perform experimental validation to assess
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for four years from October 2025. The award covers tuition fees at the home rate plus an annual stipend. This is set by the Research Councils and will be £20780 for 2025. Only Home candidates
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The successful candidate will benefit from cross-disciplinary supervision by experts in building physics and artificial intelligence. The student will have access to research facilities within the Department
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, and it can have significant effect on train services. The performance encompasses not only of the equipment physical reliability but also includes various factors, such as life cycle, maintainability
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of real-time digital twin (physical or Artificial Intelligent based) of electric propulsion system including propulsion motors, power converters, fuel cell and batteries etc within the real-time simulation
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supervisors spans five departments at University of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme
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influences process reliability, efficiency of usage of hospital resources and risk to staff and patient safety. Hence, having a model that integrates these various aspects of procedure is essential to result
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supercritical water systems to generate samples that will help optimise a process that will then be scaled into pilot and large scale pilot systems with partners in the consortium. Aim This project will focus