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processing conditions (e.g. aging and thermo-mechanical processing route) to optimise corrosion performance of Constellium’s high strength alloys. This project is an exciting opportunity to work in close
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Applications are invited for a Research Assistant to join the Integrated Clinical-Computational Affective Research Unit (ICARUS). The unit is led by Dr Liam Mason (Associate Professor of Clinical
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physics and diagnostics at the York Plasma Institute Computational combustion modelling using High-Performance Computing (HPC) Machine learning techniques for predictive combustion models Research
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well as cutting-edge research insight. Description The global drive towards electrification in high-performance sectors such as motorsport and aerospace is pushing electric motors to operate at ever increasing
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This research aims to explore innovative applications of wearable and wheelchair-based technologies to support Para athletes in monitoring performance. It will assess the transferability
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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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, balancing efficiency and sustainability in AI deployment poses a significant challenge, calling for advances in model design and training to reduce environmental impact while maintaining high performance
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AI-electronic systems, ensuring secure communication and operation. Side-Channel Attack Mitigation: Implement techniques to protect systems against side-channel attacks, safeguarding sensitive
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A position exists for a postdoctoral Research Assistant/Associate to work on the development of novel semiconductor optoelectronic and sensing devices using high-throughput fabrication and
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an essential component in the safe and reliable operation of Generation III+ and IV nuclear reactor designs, including High Temperature Gas-Cooled reactors (HTGR), Pressurized Water Reactors (PWR), Lead-Cooled