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Field
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, hierarchical and composable analysis and design is needed. The project will leverage tools from contract-based design theory to formalise such security and performance guarantees at multiple resolutions
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relevant to multiple applications, including small aircraft, drones, turbines, and other systems reliant on efficient fluid flow around foils. The project offers a unique opportunity to gain experience in
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, while simulations are subject to error due to uncertainty in nuclear data and unresolved physical processes e.g. thermal expansion and fine-scale inhomogeneities. Generating independent simulation
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partnership with multiple stakeholders, united by mutual interest in the landscape’s future. Cumbria, a county in the North-West of England, is home to some of the UK’s most prized landscapes. Over
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Connect project, which is funded by the Endangered Landscapes and Seascapes Programme. Cumbria Connect aims to restore 33,000 ha of the English upland landscape through a partnership with multiple
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for translating highly sensitive quantum technologies out of the lab and into the field, enabling applications ranging from underground mapping and navigation to gravity-based surveying and space-based sensing. You
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Modern numerical simulation of spray break-up for gas turbine atomisation applications relies heavily upon the use of primary atomisation models, which predict drop size and position based upon
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collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage
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Predictive Control (MPC) algorithms, innovative coalition-formation techniques, and validate these through high-fidelity simulations. You will design, implement and validate innovative data-driven economic
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real-time fault detection and predictive maintenance strategies. 3. Validation of AI models with real-world SCADA data, ensuring industry relevance. 4. A digital twin framework for safe, simulation-based