41 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" PhD positions at Cranfield University in United Kingdom
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, in collaboration with Rolls-Royce, will develop novel regenerative pumps to address LH2 pumping requirements in multi-phase flows without flow – speed restrictions through design development
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to identify the material degradation and coatings applications details in extreme environments. A novel techniques/method will be developed with focus on better prediction and more accurate measurement of
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expertise. We link fundamental materials research with manufacturing to develop novel technologies and improve the science base of manufacturing research. The Through-life Engineering Services (TES) Centre
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expertise. We link fundamental materials research with manufacturing to develop novel technologies and improve the science base of manufacturing research. The Through-life Engineering Services (TES) Centre
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University provides an ideal setting for this research, offering a wealth of resources and expertise in engineering and digital technologies. The expected outcome of the project is the development of novel
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, in collaboration with Rolls-Royce, will develop innovative coatings to safely contain hydrogen in critical aerospace materials through experimental and computational modelling work. You’ll join a
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, in collaboration with Frazer-Nash Consultancy, will develop practical guidelines and methodologies to ensure the safe use of metals in hydrogen aviation infrastructure through advanced experimental
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This PhD project will focus on developing, evaluating, and demonstrating an intelligent solution of diagnosis and prognosis for rotating machinery to enhance safety, reliability, maintainability and
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The research in this doctoral opportunity will develop a failure model that can represent the combined effect of surface and bending failures in gears to perform reliable health prognostics. Lack
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens