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. The overall aim of this PhD project is to analyse droplet impact mechanics along with the freezing thermodynamics under high airspeeds to gather important insights into ice adhesion behaviour. The experiments
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the effect of minor elements addition and their interplay with elements from EoL-scrap on the alloy corrosion performance. To investigate the mechanisms of the effects of different elements
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, with particular interest in carbonation mechanisms. You will gain hands-on experience with advanced equipment and computational modelling tools to analyse the reactions on both micro- and macro-scales
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, PhD students, clinicians and computer scientists who will all support the studentship. The successful student will be further supported by members of the wider 4th floor research groups and existing
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at Imperial as part of this initiative, in the general area of Mechanics and Characterisation of Next Generation EAF Recycled Steels for Forming and Welding Applications, leading to the award of a PhD degree
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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on their vulnerabilities against those attacks. While, the existing recent literature on the study of such attacks for FL mostly concentrates on deep learning. The PhD candidate will also investigate different ML algorithms
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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8th June 2025 Languages English English English The Department of physics has a vacancy for a PhD Candidate – development of mechanical nano-oscillators for hybrid quantum systems Apply for this job
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? During the PhD, the student is expected to interact with academics across different departments from the University of Manchester, e.g. Offshore Renewable Energy Group, the Hydrodynamics Lab, as