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Project advert There is a shortage of high-quality data relating to the acute responses to training and competition in elite match officials. Consequently, recovery strategies, and training
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performance, reduce size and cost, and increase the resilience of laser subsystems in real-world operational conditions. Research Environment and Collaboration The project will be based in the School
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computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
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Resilience (WIRe) , a prestigious collaboration between Cranfield University, the University of Sheffield, and Newcastle University. The WIRe programme offers bespoke training that hones both technical and
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Verification Tools: Develop AI algorithms that automate the verification process, ensuring systems meet required safety and performance standards. Health Monitoring Algorithms: Implement AI-based monitoring
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impact. Recycled plastics often suffer from high variability, making it challenging for industry to predict and optimise their performance for specific applications. This PhD project seeks to address
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. Additionally, Dr. Ferla will provide access to high-performance computing resources and training in molecular modelling. Dr. Hartsuiker will support the cell-based biological assays, in the well-equipped labs
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to study corrosion, cracking and mechanical degradation, develop advanced computational models using modern C++ and high-performance computing to simulate material behaviour over a 100+ year timespan. This
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block diagrams, the high-level layout of component arrangements or source code. Supervisory Team: The candidate will be supervised within the Cybersecurity and Computing by Dr Abdul Razaq and Dr Sanaz
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students driving innovation across marine, energy, robotics, and materials engineering. With world-class facilities and strong industrial partnerships, we tackle real-world challenges through high-impact