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engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency and computational time). You will be working closely with engineers at Rolls-Royce and with
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University of Surrey. You will be working on a 3-year project (funded by Innovate UK) looking at coupling of fluid and solid models and how we could use AI to speed up the computational time required. You will
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process. Our innovative programme aims to produce a new type of doctor - excellent and holistic clinicians who can drive change, delivering integrated and technologically advanced healthcare
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The Surrey Institute for People-Centred AI (PAI) is the founding pan-university institute, bringing together core AI-related expertise in audio-visual and signal processing, computer science, and
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: Operational Research Applied Mathematics Computer Science Business Analytics A related quantitative field You will also bring experience in: Optimisation algorithms (exact methods and heuristics), Strong
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combining high-fidelity computational modelling with artificial intelligence to overcome key barriers in performance. The investigation will focus on optimising core gas exchange and combustion processes
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novel multi-objective optimisation algorithms, to evaluate metrics such as material circularity, system efficiency, cost, and carbon footprint. The University of Surrey is ranked 12th in the UK in
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. The post is part of the project that aims to develop digital twin frameworks within the Wind Energy sector with novel AI predictive maintenance algorithms for fault-tolerant, intelligent estimation
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, please contact Dr Isabella Guido once deadline passes. You will need to meet the minimum entry requirements for our PhD programme . We are seeking a highly motivated and skilled candidate with a
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, self-driving vehicles and autonomous systems. The successful applicant will be expected to teach on our undergraduate programme in Mechanical Engineering. This is a well-established programme which