PhD Studentship - Artificial Intelligence/Machine Learning for Aeronautics

Imperial College London - Department of Aeronautics

Uncertainty Quantification Laboratory

Industrially Funded PhD Studentship

The PhD program of work will involve the development and application of machine learning methods for aeronautics with a focus in computational fluid dynamics. The key objective of the activities is the investigation of Artificial Intelligence methods, using virtual numerical experiments. The project is industrially sponsored, more details will be given to the applicants (informal enquiries to The PhD student will work in the Uncertainty Quantification Laboratory, with already a strong presence in AI, with a RAEng Fellow in Machine Learning and an Airbus PhD student in UQ and Machine Learning.

Applications are invited from candidates with a first or upper second class degree or equivalent in Engineering, Mathematics, Physics or other relevant subject.
Applicants should have an interest in modelling and should possess good analytical skills. Applications are invited from candidates with (or who expect to gain) a good upper-second or first-class honours degree in a Computational or related Engineering areas.

Funding is available for UK citizens and EU citizens (even not resident in UK). The studentship is for 3.5 years starting as soon as possible and will provide full coverage of tuition fees and a tax-free stipend.”

Applications will be assessed as received and all applicants should follow the standard College ( Informal enquiries and request for additional information can be made at the address below. Informal enquiries and requests for additional information for this post can be made to Francesco:,

Should you have any queries regarding the application process please contact: Ms Lisa Kelly by e-mail: phone on +44 (0)20 7594 5056. Committed to equality and valuing diversity. We are also an Athena Bronze SWAN Award winner, a Stonewall Diversity Champion and a Two Tick Employer.

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