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a first-class or upper second-class degree (or equivalent) in Civil, Mechanical, Structural and Marine engineering or other relevant areas. Programme Package and Funding Our EnerHy PhD Studentship
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
this, you will work with emerging AI techniques such as large language models, which can interpret technical documentation, and knowledge graphs, which help structure and connect engineering knowledge
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-based structural integrity model, validated using synchrotron X-ray microtomography and phase contrast imaging, to predict the lifetime of UK’s advanced gas-cooled reactors fuel cladding in storage
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explore or optimise the flexible structures and manufacturing process of Litz wires. This studentship offers the opportunity for the PhD student to lead the development of innovative simulation tools
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Application deadline: All year round Research theme: Applied Mathematics, Mechanical and Aerospace Engineering, Fluid Dynamics How to apply:uom.link/pgr-apply-2425 How many positions: 1 This 3.5
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approach for fabricating large-scale structural components. This process involves feeding a metal filler wire—either coaxially or off-axis—into an electric arc to generate a molten pool that solidifies on a
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, energy, and automotive. Among its variants, wire-arc directed energy deposition (WA-DED) is emerging as an increasingly compelling approach for building large-scale structural components. This process
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to their excellent structural performance and relatively low weight. However, their laminated structure results in low fracture toughness and limited impact resistance, influenced by the type of polymer used
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We are pleased to announce PhD studentship project in “Advanced Composites Development for Hyper-velocity Impact Protection of Space Satellites Structures”. This is an exciting PhD research
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with possible supported secondment in company during the study. The student should have a strong interest in mathematical science, software development, data driven modelling, structural mechanics and