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

Project Overview: The University of Warwick is offering a fully funded PhD studentship focused on developing machine learning models for 3D fracture simulations in extreme environments. The project, supervised by Professor James Kermode, aims to predict how materials such as tungsten behave at the atomic scale, particularly their transition from ductile to brittle states as temperature changes. This research is crucial for advancing fusion reactor design and understanding material performance under challenging conditions.

Research Focus: Students will integrate quantum mechanics, large-scale molecular dynamics, and deep learning to create AI-driven simulations. The work will involve scientific machine learning, uncertainty quantification, and high-performance computing, providing insights into the fundamental mechanisms of material failure. The project is ideal for candidates with interests in physics, mathematics, materials science, and computer science, offering the opportunity to blend theoretical knowledge with practical impact.

Training & Environment: The studentship is part of the HetSys Centre for Doctoral Training in Modelling of Heterogeneous Systems at Warwick. HetSys provides interdisciplinary training across science, engineering, and mathematics, preparing students for careers in academia, industry, and technology. The programme emphasizes collaboration, creativity, and real-world problem solving, with projects addressing global challenges such as climate modeling, sustainable energy, and advanced materials.

Funding & Eligibility: The award 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 academic background in relevant fields and experience with coding and simulation. International candidates may need to demonstrate English language proficiency.

Application Process: Interested candidates should apply via the provided link, submitting a CV, transcripts, and a personal statement. The deadline for applications is 28 January 2026. For further information, contact the HetSys Centre or visit the project webpage.