[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.

[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.

The HetSys Centre for Doctoral Training at the University of Warwick is offering over 10 fully funded 4-year PhD opportunities in computational modelling, with a focus on materials science, quantum, atomistic, and continuum approaches. These positions are ideal for students passionate about using advanced simulations and computational tools to address real-world scientific and engineering challenges. The HetSys CDT fosters a supportive, inclusive, and interdisciplinary environment, welcoming applications from women and under-represented groups to bring fresh perspectives to the field. Students will benefit from state-of-the-art training in computational modelling, sustainable research software engineering, machine learning, and high-performance computing. The structured two-year training programme transitions smoothly into independent research, with close supervision and mentorship from leading academics in physics, chemistry, mathematics, and engineering. The research themes span quantum simulations, atomistic modelling, continuum methods, materials characterisation, and the modelling of biological and biomedical systems. Funding includes full tuition fees (for UK and limited international students), a competitive UKRI stipend, research support, and generous travel funding for conferences and workshops. Applicants should have a strong background in a relevant discipline and a keen interest in interdisciplinary research. The HetSys CDT prepares graduates for diverse careers in academia and industry, including roles as researchers, data scientists, and software engineers. To apply, prospective students should review the available projects on the HetSys CDT website, prepare their academic documents, and submit an application via the University of Warwick portal. The application deadline for the October 2026 cohort is 1 October 2026. For more information or to arrange an informal meeting, contact the HetSys team.