[Fully funded for UK, EU, and International applicants: full university fees, £20,780 tax-free stipend (UKRI rate for 2025/26), and research training budget.]

Project Overview: This fully funded PhD studentship at the University of Warwick focuses on developing advanced machine learning models to simulate and predict fracture behavior in materials under extreme environments. The project, supervised by Professor James Kermode, aims to understand the transition from ductile to brittle behavior in tungsten, a key material for fusion reactors, as temperature changes. You will integrate quantum mechanics, molecular dynamics, and deep learning to create AI-driven simulations at the atomic scale, contributing to the design of future fusion technologies and advancing the field of AI-for-materials.

Research Environment: You will join the HetSys Centre for Doctoral Training in Modelling of Heterogeneous Systems, an interdisciplinary program that brings together expertise from physics, engineering, computer science, and mathematics. The HetSys community offers collaborative opportunities with leading researchers at Warwick and the Max Planck Institute for Sustainable Materials, fostering a vibrant and supportive environment for tackling real-world scientific challenges.

Training and Development: HetSys provides comprehensive interdisciplinary training in scientific machine learning, uncertainty quantification, and high-performance computing. Students gain versatile skills in modelling, simulation, and data science, preparing them for impactful careers in academia, industry, and technology sectors. The program emphasizes creativity, collaboration, and curiosity, equipping graduates to address global challenges in energy, climate, and advanced materials.

Funding and Eligibility: The studentship covers full university fees for UK, EU, and international applicants, a tax-free stipend of £20,780 (UKRI rate for 2025/26), and a research training budget. Applicants should have a strong background in physics, mathematics, materials science, engineering, or computer science, with experience in coding and simulation highly desirable. International candidates may need to provide proof of English language proficiency.

Application Process: Applications are open until 28 January 2026. Interested candidates should apply via the HetSys application portal, submitting a CV, academic transcripts, and a personal statement. For further details and to apply, visit the project webpage.