PhD Studentship: Digital twin models for aerospace design

Supervisory Team: Prof. Ali Elham

PhD Supervisor: Ali Elham

Project description:

We invite applications for a PhD position focused on the development of advanced digital twin models for aerospace design. This cutting-edge research will explore the integration of real-time data, physics-based simulations, and machine learning techniques to create dynamic, predictive models of aerospace systems. The successful candidate will work on the development of digital twin frameworks to optimise aircraft performance, enhance reliability, and reduce life cycle costs. This project offers the opportunity to contribute to the future of aerospace engineering by driving innovation in virtual design and predictive maintenance processes.

We are particularly looking for UK national students, either having or expecting to achieve a first-class degree in aerospace engineering.  The ideal candidate should have a strong background in aerospace engineering, computational modelling, or a related field. Proficiency in programming (Python) and a passion for digital technology applications in engineering are required. The PhD candidate will work within a multidisciplinary team and have access to state-of-the-art research facilities, as well as collaboration opportunities with industry partners. If you're eager to advance your career in aerospace and develop transformative digital twin technologies, 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.  

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.

If you wish to discuss any details of the project informally, please contact Prof. Ali Elham Research Group Computational Engineering and Design, Email: a.elham@soton.ac.uk, Tel: +44 (0) 2380 59 6044.

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

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