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, reliable technology. By joining this project, you’ll be developing innovations critical to a greener, more sustainable future.About the Leonardo Centre The Leonardo Centre at the University of Sheffield is
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future hydrogen fuel cell powered aircraft. Join our diverse and inclusive team to transform the future of aviation as part of the Centre for Propulsion and Thermal Power Engineering. Offering fully funded
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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
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on the reliability of the transformers. Hence this research aims to develop a multi-objective optimisation method to incorporate carbon footprint, total cost of ownership and the transformer reliability in selecting
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transmission is a foundational technology for modern power systems, efficiently delivering electricity over long distances and enabling the integration of remote renewable energy sources. As renewable
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challenges. You’ll attend international events such as IOLTS, ETS, and DSN, and receive expert training in resilience engineering, embedded AI diagnostics, and reliability-centred design, equipping you to lead
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supported by collaborations with industry giants including Boeing, Rolls-Royce, Thales, and UKRI, this research offers a unique platform to contribute to the advancement of secure, reliable, and transparent
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into areas such as AI-driven verification, predictive maintenance, and compliance assurance, aiming to enhance system reliability and safety. Situated within the esteemed IVHM Centre and supported by
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(Applications) through reliable quantum advantage assessment. Project Description The project addresses the critical need for reliable, scalable verification and benchmarking schemes in quantum computing. Current
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an important role in the future energy system. However, the necessary adoption of electrolysers has been slow, limiting the accumulated relevant operational experience for confidence in the technology. Thus