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🎓 Computational Physics PhDs

Single-turbine scale quantification of wake turbulence
Loughborough University Prof Chris Keylock, Dr Yi Li, Prof Michele Guala 🎓 Aerospace Engineering 🎓 Applied Mathematics

This PhD quantifies single-turbine wake turbulence to improve understanding of flow physics, aerodynamic interactions, and impacts on downwind turbines, combining numerical simulation, data analysis, and model developme…

Right Ventricular Remodelling Following Pulmonary Valve Implantation in Patients with Surgically Corrected Tetralogy of Fallot (Ref: FP-SK-2025)
Loughborough University Prof Sotiris Korossis 🎓 Bioengineering 🎓 Biomechanics Deadline: 31 Mar 2026

This PhD develops patient-specific multiphysics computational models to study the anatomy, biomechanics, haemodynamics, and electrophysiology of the right heart before and after pulmonary valve replacement in patients w…

Modelling and design of sustainable fibre composites
University of Strathclyde Dr K Johnston 🎓 Chemical Engineering 🎓 Chemical Physics Deadline: 31 Mar 2026

Fibre composites are widely used in aerospace and wind turbines due to their light weight and high strength. This project will use coarse-grained modelling and molecular dynamics simulations to simulate network formatio…

On-chip topological photonics
University of Southampton Dr Dongyang Wang 🎓 Applied Mathematics 🎓 Computational Physics

Funded PhD at University of Southampton developing on-chip topological photonic crystals on silicon for applications in imaging, sensing, and computing. Combines theoretical modelling, simulation, and cleanroom fabricat…

Non-Hermitian topological physics
University of Southampton Dr Dongyang Wang 🎓 Applied Mathematics 🎓 Computational Physics

Funded PhD at University of Southampton focusing on non-Hermitian topological physics, including exceptional points, skin effects, and topological phase transitions, combining theoretical modelling with electrical circu…

Topological photonic quasicrystals
University of Southampton Dr Dongyang Wang 🎓 Applied Mathematics 🎓 Computational Physics

Fully funded PhD at University of Southampton exploring topological photonic quasicrystals. Combines theory, numerical simulation, and experimental fabrication to design novel optical materials with robust, topology-pro…

The Self-Driving Microscope: Predicting Stochastic Failure in Solid-State Batteries using Physics-Informed AI (Ref: M34Impact-MSE2)
University of Greenwich London, United Kingdom Dr James Le Houx, Dr Andrew Kao, Dr Mikhail Poluektov 🎓 Computational Mathematics 🎓 Computational Physics Deadline: 17 Apr 2026

Funded PhD at the University of Greenwich developing physics-informed AI to predict failure in solid-state batteries using X-ray imaging, simulations, and generative models.

Developing charge-aware machine learning potential for electrochemical applications
Imperial College London Dr Jing Yang 🎓 Artificial Intelligence 🎓 Computational Chemistry Deadline: 31 Mar 2026

This PhD focuses on developing charge-aware machine learning interatomic potentials for electrochemical applications, enabling accurate modelling of electrocatalytic systems with long-range electrostatic interactions.