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Field
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This self-funded PhD research project aims to develop smart sensors based on low-frequency resonance accelerometers for condition monitoring of ultra-speed bearings. The developed smart sensors will
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cannot capture the dynamic chemical changes in the gut. There is therefore a critical unmet need for a real-time, chronic gut monitoring tool to unravel neuroendocrine gut–brain pathways and guide therapy
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embrittlement, leakage, and long-term material degradation raise critical reliability concerns for flight certification. Structural Health Monitoring (SHM) and Digital Twinning (DT) technologies can address the
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hardware demonstrator tested under real environmental conditions, contributing to smarter, more sustainable ecosystem management and supporting statutory obligations for innovative environmental monitoring
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field studies, and innovative design strategies will be developed that incorporate corrosion-resistant materials, optimised configurations, and embedded Internet of Things (IoT) sensors to monitor
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evolved physiologies and carbonate secretion mechanisms specifically adapted to these chemical conditions [1, 2]. Understanding the environmental variability of these ions will help to better predict
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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natural conditions in the laboratory. Marine phytoplankton, which act as the base of the marine food web and contribute to major global biogeochemical cycles, will be used as a model to understand
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Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 16 Nov 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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of discomfort. At Swansea University we can monitor a range of perceptual, physiological and temperature parameters, alongside an array of other physiological monitoring tools to measure energy expenditure, and