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University of Oxford). Robotics 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
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science or engineering discipline, possibly supported by an MSc Degree. Further information on English language requirements for EU/Overseas applicants . Funding Tuition fees + stipend are available
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can be adjusted upon agreement with the successful candidate). Project Overview The drive for net-zero and sustainable manufacturing is reshaping the future of advanced materials. Traditional composite
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The student will benefit from working alongside a multidisciplinary team of engineers, mathematicians, and physicists at the University of Manchester as well as a wide collaboration network within the UK and
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EPSRC iCASE PhD studentship with SLB - Computational modelling of advanced geothermal systems School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students
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. The research will combine computational modelling, experimental validation, and machine learning techniques to develop a predictive phenomenological PAC model. The successful applicant will develop and apply
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Applicants should have a first or second class UK honours degree or equivalent in in Design, Engineering, Computer Science/IT or a related subject. Experience in system design, and/or manufacturing is
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are deeply committed to advancing characterisation methods and workflows that address pressing challenges in areas such as correlative characterisation, biological systems, net-zero and the circular economy
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point of this project is the opportunity for the successful applicant to work within the Centre for Computational Engineering Sciences, a leading hub for research and education in computational methods
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(contributing approximately 50%), advancements in aircraft technology (30%), and operational improvements (20%) – together supporting the industry's 2050 carbon-neutral growth objectives. Broadly, this project