G-Research Funded PhD Scholarship in ML & Optimisation at UCL

A fully funded PhD Scholarship in ML & Optimisation is available at UCL, supported by G-Research. Apply by 5 January 2026.

A PhD Scholarship is available at University College London (UCL) for a highly motivated student to join the LASP Lab. The lab focuses on machine learning, optimisation, and scientific modelling.

The four-year position is supported by a G-Research scholarship and candidates should be interested in:

• Building new agents for black-box optimisation/Reinforcement Learning for complex decision-making.
• Generative models for graphs, including diffusion and connections to fluid dynamics.

The project will be supervised by Dr. Laura Toni. For more information on the lab, visit https://lasp-ucl.github.io/.

The ideal candidate should have a strong background in optimization, mathematics, statistics, and Machine Learning, with proficiency in Python. Interested candidates should contact Dr. Laura Toni, explaining how their background aligns with the focus areas.

This fully funded scholarship covers tuition fees and provides a competitive stipend, along with professional development opportunities. The application deadline is 5 January 2026. For full details and application guidance, visit https://www.ucl.ac.uk/engineering/electronic-electrical-engineering/vacancies/g-research-ucl-phd-scholarship-ai-systems.

Tags: PhD Scholarship, Machine Learning, Optimisation, UCL, G-Research, LASP Lab, AI Research