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AI-Based Acceleration of Computational Fluid Dynamics for Automotive Applications

   Department of Aeronautical and Automotive Engineering

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  Prof G Page, Dr Eve Zhang, Dr M Martínez  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

CFD is at the core of the design process for aerospace and automotive as it is used to reduce drag and hence CO2 emissions.

However, CFD prediction of industrial applications require large amounts of computational resource and is both time-consuming and expensive. Acceleration of this part of the design process would allow designs to be produced more quickly and with greater exploration of the design space.

This project will develop a technique using AI/ML and Reduced Order Models to predict flows based on the vehicle prior to carrying out full CFD calculations. This will involve developing techniques to encode geometrical information and evaluating the best Artificial Neural Networks or other techniques such as Reduced Order Models to reproduce the flow field and important performance parameters.

By limiting the scope to automotive shapes, the geometry and flows will have similar structures and can be relatively easily parameterised/characterised.


Primary supervisor: Prof. Gary Page

Secondary supervisor: Dr. Eve Zhang and Dr Miguel Martínez García

Entry requirements for United Kingdom

A good first (undergraduate) degree in Engineering, Maths, Physics or Computer Science (or equivalent to UK upper second class).

English language requirements

Applicants must meet the minimum English language requirements. Further details are available on the International website.

Find out more about research degree funding

How to apply

All applications should be made online and must include a research proposal. Under the programme name, select 'Aeronautical and Automotive Engineering'. Please quote the advertised reference number AACME-23-029 in your application.

To avoid delays in processing your application, please ensure that you submit the minimum supporting documents.

Apply now

Funding Notes

The AACME Studentship competition offers the chance for UK and International applicants who are interested in undertaking a PhD to have their full-time studies paid for.
Applicants could receive full or partial funding for 3-years, including a tax-free stipend of £17,668 (2022/23 rate) per annum, and/or a tuition fee waiver.
Studentships will be awarded on a competitive basis to applicants who have applied to advertised projects within AACME with the reference ‘AACME-23-XXX’ with the end changing depending on the project number allocated. Successful candidates will be notified by the end of March 2023.
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