PhD Scholarship: Transfer Learning for Bayesian Optimisation in Fluid Dynamics

Fully-funded PhD scholarship on transfer learning for Bayesian Optimisation in Fluid Dynamics at University of Manchester. Apply by December 5, 2025.

A fully-funded PhD scholarship is available for research on applying transfer learning to Bayesian Optimization in Computational Fluid Dynamics at the University of Manchester.

Supervisors: Saleh Rezaeiravesh and Manuel López-Ibáñez

• Fully funded AI UKRI CDT 4-year program
• PhD degree from a top university (top 10 in Europe, top 50 in the World)
• Home tuition fees paid by the scholarship
• Competitive tax-free stipend of at least £20,780/year

The project aims to expand transfer learning capabilities in CFD by researching efficient transfer techniques, deciding when active learning is beneficial, and extending techniques to ensembles of trained models.

Apply now before December 5, 2025.

Tags: PhD Scholarship, Transfer Learning, Bayesian Optimisation, Fluid Dynamics, University of Manchester, AI UKRI CDT, Computational Fluid Dynamics