Fully Funded PhD Studentship: Physics-Informed Artificial Intelligence for Predicting Corrosion and Material Degradation in Critical Infrastructure

This is a fully funded, three-year PhD studentship focused on developing physics-informed artificial intelligence methods to predict corrosion and material degradation in critical infrastructure. The research integrates machine learning techniques with physical principles like electrochemical kinetics and thermodynamics to create accurate predictive models for industrial applications. The role involves working primarily at TWI Wales in Port Talbot with access to university facilities and supervision from both academic and industry experts.