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machine structures, together with AI-driven optimization frameworks for diverse applications while considering LCA metrics. The success of this project could serve as a model for other energy-related
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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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• 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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of Digital Twins being used to assess NBS. This project builds on the Newcastle University team’s decades of expertise in modelling the circulation of open oceans, shelf seas and estuaries. The Digital Twin
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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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-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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productivity. Thus, our work dissecting the mechanisms underpinning morphological diversification can have translational applications in agriculture. For these positions, the successful candidates will
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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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analyses, mathematical modelling, or data analysis. But whatever the research approach, the goal would be to influence UK policy that increases protection of the UK population from current or future emerging
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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