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Organisation Cranfield University Faculty or Department Research and Innovation Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally worked Monday to Friday
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Research offers an opportunity to explore AI-powered embedded systems, avionics, electrification, robotics, manufacturing, and healthcare applications. Students will specialise in either embedding AI
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applied research with global impact. The project is co-supervised by Dr Francis Hassard (Drinking Water & Biological Treatment) and Dr Michael Chipps (Thames Water, Research and Innovation Scientist
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. By integrating artificial intelligence (AI), multi-sensor fusion, and cognitive systems, the research will pioneer robust navigation architectures. These improvements are key to making future transport
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the impacts of intermittent discharges, such as sewage overflow (SO) spills on our natural watercourses. This cutting-edge research will look at how to engineer these green technologies to maximise
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diagnostics, novel thermodynamic cycle performance, etc., which have been built up over the last half century. This provides a unique capability to assist researchers and engineers in new power plant designs
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to £41,478 per annum. An exciting opportunity for an established researcher or a recently completed PhD researcher with experience in malacology, epidemiology, data mapping and/or schistosomiasis modelling and
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This PhD opportunity at Cranfield University invites candidates to pioneer research in embedding AI into electronic hardware to enhance security and trustworthiness in safety-critical systems
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IVHM Centre and supported by partners including Boeing, Rolls-Royce, Thales, and UKRI, the research provides a unique opportunity to advance next-generation embedded AI systems with enhanced longevity
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collaborations with industry giants including Boeing, Rolls-Royce, Thales, and UKRI, this research offers a unique platform to contribute to the advancement of intelligent assurance methodologies in sectors like