59 information-security-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions at University of Nottingham
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, the position is only available for UK home candidates. As sponsored by MTC, the successful candidate would need to pass the sponsors own security checks before starting the PhD. Start date: 5 October 2026
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This exciting opportunity is based within the Power Electronics and Machines Centre (PEMC) Research Group at Faculty of Engineering which conducts cutting edge research into enabling technologies
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This project is an exciting opportunity to undertake industrially linked research in partnership with the Manufacturing Technology Centre (MTC). It is based within the Advanced Materials Research
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sponsors own security checks before starting the PhD. Start date: 5 October 2026 Closing date: 27 February 2026 For further information please email Professor Chris Gerada (University of Nottingham) and
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studentship (UK nationals only) Tax-free stipend: £25,000/year Full home tuition fees paid £2,000/year for consumables and travel MTC funding requires passing security checks prior to starting Project aim
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect
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conventional mechanical power offtakes. Reducing the size and weight of these systems, while boosting power extraction is important to continuing to improve the efficiency of aeroengines This project is
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of high power electrical systems, and also conventional mechanical power offtakes. Reducing the size and weight of these systems, while boosting power extraction is important to continuing to improve
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opportunity is based within the Resilience Engineering Research Group at Faculty of Engineering which conducts cutting edge research into developing modelling techniques to predict ways of improving the design
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect