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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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expertise. We link fundamental materials research with manufacturing to develop novel technologies and improve the science base of manufacturing research. The Through-life Engineering Services (TES) Centre
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sanitation industries. Working with our established industry partners, you'll implement your innovations in real operational environments, seeing your research make tangible difference while building
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systems and future telecom solutions. This project aims to design a localisation/positioning framework capable of leveraging signals from terrestrial base stations, non-terrestrial networks (presented by
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trustworthy operation of navigation systems in complex, GNSS-denied scenarios. The ultimate goal is to provide the navigation research community and industry with tools and methods that ensure continuous, high
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. The primary output will be a validated, open-source detection framework demonstrably meeting enterprise performance benchmarks (e.g., latency, accuracy). The research will contribute new knowledge through
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This self-funded PhD opportunity sits at the intersection of several research domains: multi-modal positioning, navigation and timing (PNT) systems, AI-enhanced data analytics and signal processing
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using alternative fuels and/or increasing the efficiency of the gas turbines. Additively manufactured materials, could help in increasing the temperature at which GTs will run, with a consequent increase
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of this research is to develop a comprehensive, multi-fidelity suite of liquid hydrogen (LH2) tank integrated pump models to predict and analyze pump performance, stability, and its interaction with the broader fuel
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine