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digital construction technologies, including VR, IoT, machine learning, and physiological and behavioural data analytics. Experience with wearable sensors & physiological data (e.g., EEG, ECG, eye tracking
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
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, data analytics, and co-designed interventions. This is an exciting opportunity to contribute to applied research that informs urban policy and planning, particularly around air quality monitoring and
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advanced analytics to benefit every patient interaction, clinical trial, and biomedical discovery and to enhance public health. This PhD is funded as part of the HDR UK Inflammation and Immunity Driver
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Birmingham City Council to start in October 2025. This PhD project aims to investigate how changes in travel modes can contribute to achieving net-zero emissions in urban transport. Specifically, it will
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This PhD project aims to reduce—by approximately an order of magnitude—the time and computational effort required to evaluate point-defect energetics in technologically important mixed-anion
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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characteristics might explain these differences? MS is a complex disease, with damage to the brain and nervous system that varies widely between individuals. This PhD project offers an opportunity to investigate
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Information This is a fully funded PhD studentship which covers tuition fees at Home-fee rate and an annual maintenance stipend (starting at £22,480 in the first year) for four years.
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(nathan.einbinder@plymouth.ac.uk ) Applications are invited for a four-year PhD studentship and will start, 1st January 2026. The project is funded from Centre of Research excellence in Intelligent and Sustainable