Snabbfakta
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- London
Ansök senast: 2024-06-29
Demoquas Research Assistant / Associate in Turbomachinery, Machine Learning and UQ
We have an exciting opportunity to join a strong collaborative project between Imperial College and several EU partners, Demoquas, on the development of new UQ methods for Aircraft Engines.
The project will involve a close collaboration with Rolls-Royce in UK and all other partners.
To enable next generation of aircraft engines, electric or using hydrogen, requires new and efficient Uncertainty Quantification models able to handle complex simulations, with multifidelity and multiscale methods.
The post will require travel and close collaboration with other members of the project.
You are expected to:
Those appointed at Research Associate level
Hold a PhD in Engineering, Turbomachinery, Machine Learning, UQ or CFD or a closely related discipline, or equivalent research, industrial or commercial experience
Those appointed at Research Assistant level
A first / masters degree (or equivalent) in Engineering, Turbomachinery, Machine Learning or CFD, or equivalent research, industrial or commercial experience or a closely related discipline.
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.
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