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also researched by the recently commenced multi-million MOSFET (The Maturing Optimised Solutions for Aerospace Technology) research programme lead by RR in collaboration with UoM and an electrical
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backgrounds such as AI, computer vision, computer graphics, machine learning, robotics, wearable technologies, textile engineering, fashion technology, digital fashion, or related areas are encouraged to apply
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backgrounds such as AI, computer vision, computer graphics, machine learning, robotics, wearable technologies, textile engineering, fashion technology, digital fashion, or related areas are encouraged to apply
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This 3.5-year PhD project is fully funded by The Department of Mechanical and Aerospace Engineering; students who are eligible to pay tuition fees at the Home rate are eligible to apply
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resilience in complex and dynamic environments. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering
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. Applicants should hold a First or strong Upper Second-class honours degree (2:1 with 65% average), or international equivalent, in Engineering, Computer Science, Physics, Mathematics, or a related discipline
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), or international equivalent, in Engineering, Computer Science, Physics, Mathematics, or a related discipline. Applicants should also demonstrate evidence of programming experience. Applications should be submitted
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programme as part of BioProcess, the Biocatalysis and Protein Engineering Centre for Sustainable Synthesis (bioprocess-idla.ac.uk), which has strong partnerships with the chemical industry. They will thus
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for device functionality and reduced electrical current requirements, making them highly promising for energy efficient computing and storage technologies. This PhD project will provide novel insights
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, or physics. Prior experience in microstructural characterization, computational modelling, or metal forming is advantageous but not essential. Enthusiasm and willingness to learn are more important