PhD in Theoretical Condensed Matter Physics

Predicting how defects such as dislocations and grain boundaries move in complex, disordered metallic systems remains a central open problem in materials science./nThis PhD project aims to develop a rigorous, predictive framework for defect mobility in disordered alloys based on non equilibrium quantum statistical mechanics, using the Keldysh Green function formalism. You will work at the interface between fundamental theory and large scale computation in Birmingham. Key research directions include theoretical development of equations of motion for defects, machine learning integration to extract reduced dynamical descriptions, and multiscale numerical implementation linking density functional theory and classical atomistic simulations to effective medium and embedding theories.