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diminished, e.g. though ageing or a physical interface such as a sock or glove. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant
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the Computer Science and Materials Science covering both theoretical and experimental research into using magnetic materials for novel unconventional computing applications. Candidate Requirements Minimum 2.1 Bachelor’s
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with age or is linked to particular medical conditions. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. View
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Advancing battery intelligence using digital parameterisation of battery electrode microstructures Department of Materials Science and Engineering PhD Research Project Directly Funded UK Students Dr
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Nearfield Interactions of Vitrified Intermediate Level Waste; Radionuclide Transport at the Glass-Canister-Backfill Interface Department of Chemical & Biological Engineering PhD Research Project
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Integrating Circular Economy Principles and Life Cycle Assessment in Nuclear Decommissioning Department of Chemical & Biological Engineering PhD Research Project Awaiting Funding Dr Fanran Meng, Dr
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, jointly led by Dr Ellis and Prof Eleni Vasilaki, and part of the wider Machine Learning Group. They join a strong interdisciplinary collaboration crossing the Computer Science and Materials Science covering
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New stone masonry arch bridges Department of Civil and Structural Engineering PhD Research Project Directly Funded UK Students Dr C Smith, Dr Helen Fairclough, Dr Linwei He Application Deadline
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The Leonardo Center: www.sheffield.ac.uk/leonardocentre John Crane Ltd: http://www.johncrane.com Requirements: • 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics
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Machine Learning Group. They join a strong interdisciplinary collaboration crossing the Computer Science and Materials Science covering both theoretical and experimental research into neuromorphic computing