PhD Studentship: Machine Learning for Aerospace Design

Supervisory Team: Prof. Ali Elham

PhD Supervisor: Ali Elham

Project description:

We are seeking a motivated PhD candidate to join our research team in the application of machine learning techniques to revolutionize aerospace design. This position will focus on developing intelligent algorithms to optimise various aspects of aerospace systems, including aerodynamic performance, structural efficiency, and system-level integration. The research will involve leveraging big data, advanced computational methods, and AI to streamline the design process, enabling faster, more efficient, and innovative aerospace solutions.

We are particularly looking for UK national students, either having or expecting to achieve a first-class degree in aerospace engineering. Applicants should have a strong academic background in aerospace engineering, or a closely related discipline, with experience in machine learning, data analytics, or optimisation techniques. Programming skills and familiarity with aerospace design principles will be advantageous. The successful candidate will work in a collaborative, interdisciplinary environment, gaining exposure to cutting-edge research and industry collaborations. If you’re passionate about using AI to solve complex engineering challenges and shape the future of aerospace, we encourage you to apply.

You will join a leading Engineering Faculty with an excellent record of collaborative research with industry and academic institutions in the UK and abroad. In September 2013, the School of Engineering received an Athena SWAN Bronze award in recognition of our continued commitment to improving women's equality in science and engineering.

The Faculty offers exceptional research facilities in fluids, structures, and their interactions, including a new world-class fluid dynamics facilities complex in the Boldrewood Engineering Campus, complete with a 138m towing tank.

If you wish to discuss any details of the project informally, please contact:

Prof. Ali Elham at a.elham@soton.ac.uk or +44 (0) 238059 6044.

At the University of Southampton, we value diversity and equality.  The University recognises that employees may wish to have working patterns that fit their caring responsibilities or work-life balance.  Due consideration will also be given to applicants who have had career breaks for reasons including maternity, paternity or adoption leave, disability or illness.  Both the University of Southampton and Chemistry are proud to hold the Athena Swan Silver Awards.

Entry Requirements

A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent).

Closing date: 31 March 2025.

Applications will be considered in the order that they are received, the position will be considered filled when a suitable candidate has been identified.

Funding: We offer a range of funding opportunities for both UK and international students, including Bursaries and Scholarships.  For more information please visit PhD Scholarships | Doctoral College | University of Southampton  Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered.

How To Apply

Apply onlineby clicking the 'Apply' button, above.

Select programme type (Research), 2025/26, Faculty of Engineering and Physical Sciences, next page select “PhD Engineering & Environment (Full time)”.

In Section 2 of the application form you should insert the name of the supervisor Ali Elham

Applications should include:

• Curriculum Vitae
• Two reference letters
• Degree Transcripts/Certificates to date

For further information please contact: feps-pgr-apply@soton.ac.uk

Advert information