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Overview This position is funded as part of an £8M EPSRC programme grant “Networks of Cardiovascular Digital Twins (CVD-Net) ”, which is jointly held by Imperial College London, the Universities
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Computational Fluid Dynamics modelling of free surface flows over packing materials in a CO2 absorber School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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Machine tool dynamics-based digital twins for real-time monitoring of cutting tool conditions in smart manufacturing School of Electrical and Electronic Engineering PhD Research Project Self Funded
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overcomes the geographic limitations of conventional systems, enabling global scalability and accessibility. Using advanced computational fluid dynamics (CFD) approaches, the project is aimed at advancing
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at the intersection of molecular biology, computational science, and translational oncology, contributing to cutting edge research in the pathology of head and neck cancers. Led by Professor Ali Khurram
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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
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The Japanese Long-Baseline Neutrino Programme (T2K, Super-Kamiokande and Hyper-Kamiokande) School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr S Cartwright, Dr Patrick
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Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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to develop and validate paediatric bone models through a combined computational and experimental approach, in collaboration with clinical partners at the Sheffield Children’s Hospital. The ideal candidate will
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Advanced brain-computer interface School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year round