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PhD Studentship in Aeronautics: How offshore wind farms and clouds interact: Maximising performance with scientific machine learning (AE0078v2) Start: Between 1 October 2026 and 1 July 2027
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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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: Prof. Oliver Buxton, o.buxton@imperial.ac.uk For queries regarding the application process, email Lisa Kelly, PhD Administrator, l.kelly@imperial.ac.uk You can also learn more about Imperial at
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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
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@imperial.ac.uk For queries regarding the application process, email Lisa Kelly, PhD Administrator, l.kelly@imperial.ac.uk You can also learn more about Imperial at www.imperial.ac.uk/study/pg Equality, Diversity
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the application process should be directed to Briony Webb at b.webb@imperial.ac.uk . We are an equal opportunity employer and welcome applications from all backgrounds and disabilities. We will ensure
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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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, their application remains narrow and computationally restrictive. The primary goal of this project is to include flutter constraints early in the aircraft design process. To achieve this, the research
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process and interpret simulation data, develop the implementation of optimisation techniques and modelling approaches, and help identify the most receptive forcing modes in turbulent channel flow. Working