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Machine tool dynamics-based digital twins for real-time monitoring of cutting tool conditions in smart manufacturing
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Development of Digital Twin Models for Real-Time Condition Monitoring of Electrical Machines in Electric Vehicle Applications
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Multi-Material Laser Powder Bed Fusion for Next-Generation Additive Manufacturing
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Intelligent Materials Health Monitoring: Utilising Machine Learning to Ensure the Long-term Stability of Perovskite Solar Cells
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programme in this area at The University of Sheffield, led by the primary supervisor Dr Dan Geddes, and co-supervisor Dr Brant Walkley, in collaboration with Sellafield Ltd. and National Nuclear Laboratory
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to hygiene and cleanliness, assessed at Application/ Interview Experience of using computers and basic IT skills, assessed at Application Excellent customer service skills, with experience of responding
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or higher) (Application Form) PhD (or near completion) in MRI Physics or Medical Image Computing (Application Form) Track record of publication in MR or imaging journals, with at least one first author
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noise, and communication delays. The challenge lies in ensuring the desired behaviour of an infinite-dimensional system with limited computing, sensing, and actuating resources. To tackle
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£35,000 research training support grant over four years. Whether it’s for experimental work, conference travel, or the latest computing gear, we’ll make sure you have the resources to succeed. Work with the
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programmes. Ownership and support / preparation of project and programme budgets, in collaboration with Research Engineers to ensure they are not exceeded and spent on relevant project items. Detailed