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opportunity to undertake industrially linked research in partnership with Rolls-Royce (RR) at the RR University Technology Centre (UTC) in Electrical Systems at the University of Manchester(UoM). The UTC
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expertise, and engagement with industrial partners driving innovation in aerospace materials. We welcome applications from motivated candidates with a background in materials science, mechanical engineering
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universities (The University of Manchester , University of Glasgow and University of Oxford ). Robotics and Autonomous Systems (RAS) is an essential enabling technology for the Net Zero transition in the UK’s
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and Autonomous Systems (RAS) is an essential enabling technology for the Net Zero transition in the UK’s energy sector. However, significant technological and cultural barriers are limiting its
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advanced experimental studies conducted within the Department of Chemical Engineering at the University of Manchester and at the Diamond Light Source. In addition, the successful applicant will undertake
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. Applicants should have or expect to achieve at least a 2.1 honours degree or a master’s (or international equivalent) in an relevant science or engineering related discipline. To apply, please contact the main
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-convex optimisation, performance analysis, machine learning, etc.) 1) Applicants should have, or expect to achieve, at least a master’s (or international equivalent) in a relevant science or engineering
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research group drawn from a range of backgrounds including chemistry, molecular biology and chemical engineering. They will receive a broad scientific training across these areas, as appropriate
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study the microstructure of nickel-based alloys used in turbine wheels — vital components for hydrogen-ready engines and future power technologies. Your work will feed directly into the development
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before the deadline. In many applications such as biological sciences, social science, and engineering, we encounter high-dimensional observations. Bayesian approach can provide a flexible modeling