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Current modelling and simulations require either generic assumptions to be made for fluid dynamic based modelling leading to inaccuracies between modelled and experimental data or, intense
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to simulate sewer networks as dynamic systems, targeting ≥90% modelling accuracy. Train an explainable decision-making agent to optimize interventions (e.g., pipe upgrades), balancing cost, equity, and
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to reduce AC losses and boost power density. Today's modelling tools are not yet equipped to fully explore or optimise the flexible structures and manufacturing process of Litz wires. This studentship offers
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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
-supervision by Dr Mark Hardy. The industry aligned EPSRC DigitalMetal CDT offers a four year training programme on integrating data driven with physics-based models of products equipping students with
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manufacture, to enable quantitative imaging. Your research will include a mix of computational and experimental work to develop and characterise these instruments. Monte Carlo simulations (using GEANT4) will
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their behaviour. The simulated data will then be analysed and interpreted within established theoretical frameworks. A key goal is to refine and develop these frameworks into predictive models
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effectively and accurately at long range. Research Objectives: Model and simulate the effects of poor weather on high-energy propagation. Analyse frequency and sensing modality impacts on transmission using EO
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energy trading. Through simulation and modelling, this PhD will provide insights into how retail energy markets can transition toward a consumer-centric, low-carbon energy future while maintaining security
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, such as time series theory and modelling, computer simulation, and an understanding of supply chain and inventory models, will be gained by the PhD student during the course of their studentship. For more
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emissions and improve efficiency. The research will employ data-driven modelling, simulation techniques, and optimisation strategies to assess the technical feasibility, scalability, and real-world