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will then analyse complex patterns of data and derive an optimal set of items to form a smart self-report instrument. This two-year project is fully funded by the Hearing Industry Research Consortium
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high-profile, commercially strategic project that will enable Bublshop to gain an understanding of the integration of passive thermal enclosure system with AI-optimized control strategies
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seek optimal trade-offs between compactness and performance, delivering foundational insights into the future of high-performance electric propulsion systems. Funding 3-year PhD tuition fee (for UK home
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PhD Studentship – New approaches for studying the structure of high-temperature molten materials Transition: (October 2025 start) Supervisor 1: Emma Barney Supervisor 2: Oliver Alderman (ISIS
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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience