Join Us
We welcome enquiries from people interested in scientific computing, machine learning and the physics of energy and propulsion.
PhD opportunities
Quantum Computing and AI for Nonlinear Dynamics
Physics-informed AI and hybrid quantum–classical methods for nonlinear systems, using hydrogen and ammonia chemical kinetics as test cases.
Start: September 2027
Deadline: 27 January 2027, 16:00 GMT · Ref. SEMS-PHD-738
For eligible Chinese applicants. Queen Mary covers tuition fees; living-cost support is conditional on securing a CSC scholarship.
Dyson Institute
Machine Learning-Driven Thermal Optimisation for High-Power-Density Electric Motors
Computational modelling and machine learning to improve the cooling of compact electric motors, in collaboration with the Dyson Institute.
Expected start: October 2027. Formal advertisement and funding details to follow; expressions of interest are welcome.
ASCEND doctoral positions
AI-accelerated modelling for clean energy and propulsion. Positions across the partner institutions will be listed here when recruitment opens.
Other ways to join
Postdoctoral research
Funded roles are advertised through Queen Mary jobs. For fellowship proposals, contact Amin with a CV and a brief research outline well before the scheme deadline.
Research visits
Visiting researchers with their own funding are welcome to discuss a project linked to our research themes.
Student projects
Queen Mary MSc and undergraduate students: contact Amin before project selection to discuss available topics.
Get in touch: a.paykani@qmul.ac.uk. Please include your CV and a short note on your research interests. For advertised positions, follow the formal application instructions above.