Quantum topology optimisation for aerospace design University of Southampton in United Kingdom

This project is part of the EPSRC Center for Doctoral Training in Quantum Technology Engineering at the University of Southampton https://qte.ac.uk/ ). In addition to the research project outlined below you will receive substantial training in scientific, technical, and commercial skills.

Project description

This project investigates the development of quantum algorithms to enable large-scale topology optimization in aerospace. The goal is to overcome computational barriers in designing energy-efficient, sustainable aircraft configurations by leveraging quantum methods, advancing beyond the limits of conventional optimization for practical aerospace applications.

Topology optimization is a transformative engineering tool capable of designing optimal geometries/structures from the ground up. Its applications span diverse fields, but its potential in aerospace, particularly in aircraft configuration design, is yet to be fully realized. Despite a century of aviation advancements, we still lack an optimal configuration for energy-efficient flying vehicles.

Our lab has pioneered a topology optimization approach tailored for the aerodynamic design of low-speed micro-air vehicles. However, scaling this method to practical, full-scale aerospace applications presents a massive computational challenge. Realistic designs require billions of design variables and the integration of multi-physics solvers, including fluid-structure interaction—a level of complexity beyond current computational capabilities.

Emerging quantum optimization algorithms offer a promising path forward, showing the potential to accelerate high-dimensional, complex optimization tasks. This PhD project will focus on developing quantum optimization algorithms specifically for large-scale topology optimization in aerospace design. The successful candidate will contribute to creating a new paradigm in sustainable aerospace configurations, addressing real-world design constraints such as energy efficiency and emission reduction.

We invite motivated applicants with a background in computational science, optimization, aerospace engineering, or related fields to join us in this cutting-edge research journey.

Supervisory team : Dr. Ali Elham

For more information, please contact the supervisor: Dr. Ali Elham, [email protected]

Entry Requirements

Undergraduate degree (at least UK 2:1 honours degree, or international equivalent).

Closing date

Applications are accepted throughout the year for a start date in September 2025. Overseas students requiring funding must apply before 31 March 2025.

Funding

Funding on a competitive basis. For UK students, tuition fees and a stipend at the UKRI rate tax-free for 4 years. EU and Horizon Europe students are eligible for scholarships. Overseas students who have secured or are seeking external funding are welcome to apply.

How to apply

Apply online here : Select programme type “Research”, “Faculty of Engineering and Physical Sciences”, next page select “PhD Quantum Tech Eng”. In Section 2 of the application form insert the name of the supervisor.

Applications should include

Applications should include (further details on https://qte.ac.uk/phd-opportunities/ ): Personal statement; Curriculum Vitae; Contacts of two referees; Degree Transcripts/Certificates to date.

We are committed to promoting equality, diversity, and inclusivity and give full consideration to applicants seeking part-time study. The University of Southampton takes personal circumstances into account, has onsite childcare facilities, is committed to sustainability and has been awarded the Platinum EcoAward.