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identification of deformation patterns that are early warning signs of materials failure. These characteristic patterns result from the interaction of deformation mechanisms across multiple scales making detection
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Exact solutions in nonlinear engineering dynamics School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded Students Worldwide Prof Keith Worden Application Deadline
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cutters and methods (assessed at: Application & Interview) Experience in offline programming of CNC machinery and the use of programme verification software (assessed at: Application & Interview) Experience
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It is getting hot in here.... Understanding the thermal behaviour of 3D Printing systems School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr C Majewski
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of people's lives. The University and its partners have been awarded funding by DARE UK to develop and deliver the mechanisms for federated governance for using NHS data in research across the Yorkshire and
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GIF CDT: A Novel Gas/Liquid contactor for Direct Air Capture and industrial CO2 capture technologies
applications for the following project. This advert will close when a suitable candidate is identified, so early application is encouraged. The CDT boasts an exciting and challenging programme specifically
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workforce training, and computer-integrated systems, has become the primary pathway for transforming and upgrading manufacturing industry in the coming decades. Real time monitoring of cutting tool conditions
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Bayesian system identification in nonlinear engineering dynamics School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded Students Worldwide Prof Keith Worden
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electromagnetic design. We will explore advanced topologies for mmwave metasurfaces, design novel reconfiguration mechanisms, and develop intelligent algorithms to optimize scattering characteristics in real-time
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of people's lives. The University and its partners have been awarded funding by DARE UK to develop and deliver the mechanisms for federated governance for using NHS data in research across the Yorkshire and