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: Applications accepted all year round Details Model predictive control (MPC) has long been identified as a leading candidate technique for control in future power networks and smart grids, because of its ability
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planning, Green Infrastructure (GI), environmental modelling, spatial analytics, digital twins for planning and urban sustainability. The project addresses critical challenges in planning for nature and
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for industry including: Life Cycle Analysis (LCA), technoeconomics, business models, policy & regulation, public engagement, plant operation. An international opportunity in Year 2 or 3 of the programme
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of solid-fuel particles and this increasingly relies on engineering computer modelling. This project aims to develop a deeper understanding into the mechanisms of pulverised solid fuel ignition, and to
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). • Eligibility: First degree and Masters in one of engineering and computing fields • Standard departmental requirements: First Class • Experience in physical modelling and machine learning, interest in medical
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facilities, including advanced microscopy, controlled environment growth rooms, genomics, proteomics, and metabolomics platforms. • Opportunities to work across model and crop species, including Arabidopsis
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project will combine mathematical modeling and quantitative analysis of experimental data from collaborations with the Siegert group at the Institute of Science and Technology Austria, experts in high
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), technoeconomics, business models, policy & regulation, public engagement, plant operation. An international opportunity in Year 2 or 3 of the programme, including opportunities to visit a world-leading facility
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Analysis (LCA), technoeconomics, business models, policy & regulation, public engagement, plant operation. An international opportunity in Year 2 or 3 of the programme, including opportunities to visit a
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large research portfolio, it has extensive experimental, computational modelling and prototyping facilities. The candidate will benefit from working within a large, multi-disciplinary research group, and