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About this position

Funding details

A range of funding opportunities are available for both UK and international students, including bursaries and scholarships. Several studentships are offered and funding is awarded on a rolling basis. Applicants are encouraged to apply early for the best chance. Details on funding can be found via the Doctoral College scholarships and bursaries information page.

What's required

Applicants must hold a UK 2:1 honours degree or its international equivalent in engineering, mathematics, or computer science. Essential skills include experience with computer aided design (e.g., Solidworks, NX, Catia), computational fluid dynamics (e.g., Fluent, Star, OpenFOAM), and programming (e.g., Matlab, Python, C/C++). Desirable skills include experience in gas turbine design and machine/deep learning tools (e.g., PyTorch, TensorFlow).

How to apply

Apply online by selecting the PhD in Engineering (Research, 2025/26, Faculty of Engineering and Physical Sciences), choosing full-time or part-time, and naming the supervisor in section 2. Submit a personal statement, CV, two academic references, and degree transcripts. For questions, email the doctoral college or Dr David Toal.

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