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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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Multiple self-funded PhD positions are available in Modelling and Simulation (M&S). The project will aim to mature software repositories describing the biomechanics of the human brain. The M&S tools
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• You will have experience in experimental design to collect time series data • Evidence of being able to conduct research in the area of medical data analysis or modelling • Demonstrable ability
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-suited. By the end of the PhD, the candidate will have gained strong skills in experimental mechanics, test management, materials characterization, and numerical modeling, particularly finite element
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powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
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analytical models, then informing a refined acoustic model taking both into account with data-driven approaches. This research is inherently multidisciplinary, lying at the interface of fluid and solid
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wave power without emissions. In the PhD you will have the opportunity to explore and develop novel renewable energy harvesting systems and devise and develop new modelling approaches and conduct
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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation
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Research theme: Dynamics How many positions: 1 This 4 year PhD project is open to home students. The successful applicant will be awarded a tax free annual stipend set at the UKRI rate (£19,237 for
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with possible supported secondment in company during the study. The student should have a strong interest in mathematical science, software development, data driven modelling, structural mechanics and