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working with Johnson Matthey, but aligned with the EPSRC funded Programme Grant “Dialling up performance for on demand manufacturing” (EPSRC reference: EP/W017032/1). Our vision is to create a toolkit and
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Retrofitting UK Schools for Health, Performance, and Climate Resilience This exciting opportunity is based within the Buildings, Energy and Environment (BEE) Research Group in the Faculty
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. You will lead a high-performing, multidisciplinary team and working collaboratively across the University to deliver strategic priorities. As an impactful leader, you will: • Lead an integrated
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Electrophysical remanufacturing of aerospace gas turbine components for performance restoration and critical material safeguarding This exciting opportunity is based within the Advanced
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are invited for a fully funded Industrial Doctoral Landscape Award in partnership with Siemens Digital Industry Software, focused on advancing the next generation of industrial Computational Fluid Dynamics (CFD
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from AI data centres and high-performance computing. The appointed Research Associate/Fellow will conduct computational studies of electronic transport and quantum phenomena in 2D semiconductor materials
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learning, control theory, and embodied autonomous systems. The successful candidate will contribute to the development of learning-based control methods that are not only high-performing, but also safe
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Taught (PGT) Programmes Team, part of the Education Centre within the School of Medicine. The role plays a key part in ensuring the effective delivery of the School’s PGT portfolio, combining programme
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, limited predictability and slow process optimisation. The PhD sits within an interdisciplinary research environment that combines laboratory experimentation with mechanistic and computational modelling
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High Performance Computing (HPC). Candidates must have a Masters in any subject and a PhD awarded/in progress, or similar professional or industry qualifications in Digital Humanities/Classics