7 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" PhD scholarships at Imperial College London
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the complex multiscale nonlinear interactions at the origin of such extreme events. In this project, you will develop machine learning-based reduced-order models which can accurately forecast
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and durability of machines. Greases are semi-solid consisting of a fibre network (thickener) and a base fluid. The thickener network acts as a sponge holding the base fluid within. During rubbing
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rate) provided by the EPSRC/Shell IDLA award. EPSRC candidates should fulfil the eligibility criteria for the award. Lubrication is crucial for the efficiency, durability and reliability of machines. We
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essential; applicants should demonstrate strong academic performance, resilience in the face of research challenges, a proactive attitude to learning and a willingness to grow, and ideally an initial
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. Funding: Full coverage of tuition fees and an annual tax-free stipend of £22,780 for Home, EU and International students. Find out more about fee status at: https://www.imperial.ac.uk/study/pg/fees-and
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status at: https://www.imperial.ac.uk/study/pg/fees-and-funding/tuition-fees/fee-status/ . Eligibility: Due to the competitive nature of our studentships, candidates will be expected to achieve/have
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Bruce. Learning opportunities: You will develop an expertise in the aero-thermo-structural simulation and optimisation of hypersonic vehicles. Professional Development: You will have access to engaging