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the impacts of intermittent discharges, such as sewage overflow (SO) spills on our natural watercourses. This cutting-edge research will look at how to engineer these green technologies to maximise
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performance simulation capabilities for gas turbine engines developed at Cranfield University as the starting point. Applications are invited for a PhD studentship in the Centre for Propulsion and Thermal Power
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evaluation. Prognostics is an essential part of condition-based maintenance (CBM), described as predicting the remaining useful life (RUL) of a system. It is also a key technology for an integrated vehicle
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infrastructure components, causing potential reliability, safety, and longevity issues. Addressing this critical issue represents a vital area of research in aerospace materials science and hydrogen engineering
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analytics tools have been massively developed in the research community to address this challenge. These AI-based analytics tools are data-driven and black-box, so the interpretation of how predictions
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-on experience with real-world SCADA data, industry collaboration with RES Group, and training in high-fidelity simulation environments (OpenFAST, Digital Twin technology). This opportunity is ideal for those
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of complex, dynamic flows relevant to closely coupled engine aircraft configurations. You’ll join a pioneering multidisciplinary team that values equity, diversity, and inclusion, gaining unique expertise in
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be transferable skills in the technical area of optimisation, industrial exposure, or soft skills including presentation skills, project management, and communication skills. There are also numerous
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horizons. It plays a pivotal role in the £65 million Digital Aviation Research and Technology Centre (DARTeC), leading advancements in aircraft electrification, autonomous systems, and secure intelligent
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-solving, teamwork, and communication—setting the stage for a thriving career in research and innovation. This project is situated within the evolving field of cyber-physical systems (eCPS), which has