UK: PhD studentship in Scientific Computing
Applications are invited for a PhD studentship joint between UCL CCMI CDT and STFC ALC commencing in September 2026: "Hybrid Parallel-in-Time and Machine Learning Approaches to Accelerate Simulations for Many-Body Quantum Systems"
Understanding multi-body quantum systems is both of independent interest but also crucial for interpretation of experiments conducted to investigate material properties. The mathematical models underpinning the simulations require the solution of integro-differential equations. However, solving these equations accurately is extremely computationally demanding due to the presence of a memory term which adds a global aspect to otherwise local computations. By combining physics knowledge with modern computational techniques, this project will enable larger systems to be accurately studied over longer time horizons, expanding applicability of state-of-the-art methods to study advanced quantum materials and phenomena. This PhD project will combine two cutting-edge approaches: parallel-in-time computing and machine learning. Parallel-in-time methods break the simulation into smaller time segments that can be solved simultaneously, dramatically reducing computation time. Machine learning could be used to improve the efficiency of these simulations by learning simplified models of the system's behaviour, allowing fast inference and/or improved accuracy of the simulations by providing a framework for combining with data from other sources.
CCMI is an EPSRC Centre for Doctoral Training joint between UCL and Imperial College. The Science and Technology Facilities Council (STFC) operate world class national science facilities including the Central Laser Facility and ISIS Muon Neutron Source. The Scientific Computing department and Ada Lovelace Centre at STFC work to maximise the scientific impact of these national facilities through expertise in scientific software.
The successful applicant will be working with Marta Betcke (UCL), Tyrone Rees (Computational Maths, STFC), and Paolo Trevisanutto (Physics, STFC), will be participating in all CCMI CDT activities, and will spend 50% of their working (in person and hybrid) at STFC collaborating with the teams in Maths and Physics.
To apply, please complete the application to the CCMI CDT by 12th January 2026 at 17:00 (GMT). At this stage, you will not be asked to choose the project, but please indicate your interest in this position in the additional information section at the bottom of the application form.
More information is available at https://ccmi-cdt.org/apply.html