37 postdoc-structural-engineering scholarships at Cranfield University in United Kingdom
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The research in this doctoral opportunity will analytical and numerically model the changes in modal responses of a structure under thermo-mechanical loads. Sub-surface fatigue in mechanical
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transformation. As the amount of data increases, it is necessary to store, standardise, process, and make data accessible in a way that gets beyond the quirks of different teams and technology. This requires
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upgrade water treatment infrastructure and increase its resilience using nanobubble technology as a chemical-free approach. The successful candidate will work closely with the water industry to develop
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of aero-engine nacelles and the integration with the airframe. The project will investigate advanced adjoint based optimisation methods for the powerplant design as part of a full engine-airframe
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of welding processes in the fabrication of large steelwork structures. This project will combine the research disciplines of Manufacturing and Sustainability to develop a novel approach to minimise the carbon
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Cranfield’s Advanced Vehicle Engineering Centre is inviting applications to study for a PhD in battery modelling and management for electric vehicles. Several projects are on offer, covering
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This is a self-funded PhD position to work with Dr Adnan Syed in the Surface Engineering and Precision Centre. The PhD project will focus studying high temperature corrosion mechanisms in details
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Fibre reinforced composites have excellent in plane strength and stiffness and are being used in increasing quantities in aerospace, sports, automotive and wind turbine blade industries. However fibre reinforced composites are weak in their through thickness direction. This weakness can result...
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engineering. The PhD studentship was funded by a five-year Leverhulme Research Leadership Award on sensing wastewater for real-time public health to support 3 postdoc positions and two PhD student. You will
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systems enables effective digitalisation and automation transition. This project aims to build a generative AI model and algorithm for optimising manufacturing systems’ engineering design and processes