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co-supervised by both academic and industry experts, gaining valuable skills at the interface of hydrogeology, environmental engineering, and computational modeling. Research Objectives Understanding
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current legislation for non-deterministic AI systems. (2) Create new compliance testing procedures and processes for agricultural AI machine learning systems. These are essential for manufacturers
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Start date: 29/09/2025 This is an exciting opportunity to study for a PhD funded by the EPSRC-funded EnerHy CDT and Sustainable Plastics Solutions. Offering an annual tax-free stipend of £20,780
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can be adjusted upon agreement with the successful candidate). Project Overview The drive for net-zero and sustainable manufacturing is reshaping the future of advanced materials. Traditional composite
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-field methods) Multiscale mechanics and microstructure-property relationships Python/C++/Matlab-based simulation and data analysis Industry-facing research and technology transfer You will also benefit
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Intelligent Reconfigurable Manufacturing Systems. This is 3-year fully funded studentship and is only open to UK home students. The successful applicant will receive a generous tax-free annual stipend
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Research/Industry Experience: Split your time between advanced laboratories at The University of Sheffield and John Crane’s Research Centre in Manchester and Manufacturing site in Slough. Project Overview
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launch industry. R2T2 PhD programmes are already underway at nine UK universities, and the programme overall is centred on the Westcott facility where it co-locates with the UK Race2Space programme. Each
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. This exciting role offers the opportunity to contribute to cutting-edge research with real-world impact, collaborating closely with industry partners and supporting the transition to more sustainable healthcare
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-on experience with real-world SCADA data, industry collaboration with RES Group, and training in high-fidelity simulation environments (OpenFAST, Digital Twin technology). This opportunity is ideal for those