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This 3-year PhD position offers an exciting opportunity to join the STRIPS Project (Swansea Tata Research and Innovation Prosperity Partnership for Printed Perovskite PV). As part of the STRIPS
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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) change tread pattern (or tread groove depth), ii) aerodynamics by changing the surface texture of sidewall, iii) noise cancelling (vibration), iv) mechanical properties (hardness). Resources: The PhD
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of Computational Solid Dynamics Building upon very recent work made by the supervisory team, this FULLY FUNDED 4-year PhD project will investigate challenging aspects such as: (1) exploration of a truly “n” multi
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and biomaterials research within the Lab. This experimentally focused PhD position will fit a wide range of application interests, suitable for applicants from all engineering and scientific backgrounds
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This project will be conducted at Swansea University, utilising the world-class facilities of the MEMS Excellence Centre, which is renowned for its cutting-edge research in microelectromechanical
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, civil, and materials engineering. We welcome applicants with a background in: Computer Science Mechanical Engineering Aerospace Engineering Civil Engineering Physics If you have a keen interest in AI
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MECHANISM will advance our fundamental knowledge of the in-service operation, processing characteristics and mechanical/physical behavioural response of advanced structural materials within extreme