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Field
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simple identification of nuclear material even when the typical signatures of the materials may be unavailable. X-ray imaging is commonly used to image concealed objects but x-rays are attenuated in
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Passionate about renewable energy and engineering? Want to tackle sustainable hydrogen challenges? The University of Sheffield’s Leonardo Centre, a global leader in tribology, invites a motivated
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Computational verification of high-speed multi-material flows, where physical experimentation is highly limited, is seen as critical by the defence Sector (source: the UK Atomic Weapons Establishment). Recent work by the group (leading to REF 4* rated outputs and several Keynotes) has...
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This PhD project will focus on the development of scalable and sustainable dielectric deposition processes tailored for WBG semiconductors, with an emphasis on interface engineering to optimise
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methods. The ideal candidate will operate at the intersection of synthetic organic chemistry, chemical engineering, and digital process modelling. This interdisciplinary project is particularly well-suited
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within the energetics field. Whilst many reactive burn models have been developed to simulate this behaviour, they are generally designed for ideal explosives and are mostly engineering models fitted
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MECHANISM will advance our fundamental knowledge of the in-service operation, processing characteristics and mechanical/physical behavioural response of advanced structural materials within extreme
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Exciting Fully Funded PhD: Unlock the Future of Turbo Gas Seal Technology with John Crane Ltd! School of Mechanical, Aerospace and Civil Engineering PhD Research Project Competition Funded Students
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This PhD project will focus on developing AI-based methods to accelerate the Swansea University in-house discontinuous Galerkin (DG) finite element solver for the Boltzmann-BGK (BBGK) equation (developed by B.J. Evans, O. Hassan and K. Morgan). This solver directly solves the Boltzmann-BGK...
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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging