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, Skills and Experience • You will have substantial technical experience in time series analysis, ideally either in neurophysiology data or wearable sensor data • You will have experience of at least
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
amounts of maintenance and operational data, from sensor streams to technical logs, yet much of it remains unstructured, fragmented, and underused. Hidden within these records are insights that could help
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, physiology, psychophysiology, engineering, data science, and cutting-edge sensor technologies. The cluster builds on the success of the Peter Harrison Centre for Disability Sport (PHC) and brings together
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, Garmin watches), IMU-sensors, and smart sleeves will be validated for push detection and monitoring. Tracking athletes longitudinally will provide insights into high-risk activities associated with
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cutting-edge sensor technologies. Led by leading Para sport scientists and transdisciplinary academics, it collaborates with athletes, coaches, industry, ParalympicsGB and UK Sport Institute (UKSI) to
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performance and explore the use of an ultrasonic sensor for real-time monitoring. Experiment with ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling
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Bragg sensors. Demonstration for evaluating the developed snake robot and its navigation and localisation strategies. We are seeking talented candidates with: First or upper second-class degree in
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the performance of novel, renewable, wave energy harvesting approaches. Here the research ambition is to extend the state of art from small scale sensor networks (nW’s to mW’s), towards a vehicular scale (W’s to
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cause of death by 2050, with novel approaches to diagnostics urgently required. This project will develop a new sensor technology to diagnose bacterial infections rapidly. The research will be embedded in
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gas turbine sensor data, if available, will be utilized to validate the developed digital twin in order to estimate non-measurable health parameters of major gas path components, including compressors