Gabriele Sosso

[Awards for UK, EU, and International applicants cover full University fees, a research training budget, and a tax-free stipend of £20,780 for 2025/26 (standard UKRI rate).] PhD Studentship – Machine Learning for Organic Materials: From Molecules to Mobility The University of Warwick is offering a fully funded PhD studentship within the HetSys Centre for Doctoral Training in Modelling of Heterogeneous Systems. This interdisciplinary project, supervised by Professor Gabriele Sosso, aims to advance the understanding of gas transport in organic materials such as polymers, with applications ranging from fuel cells to battery technology. The research will focus on developing machine learning models trained on quantum-level data to simulate molecular interactions and ageing processes, bridging the gap between atomistic simulations and continuum models through robust multiscale approaches. Students will work on gas/polymer systems relevant to AWE-NST, a UK stakeholder committed to fundamental science with practical impact. The HetSys programme provides a collaborative and vibrant research environment, bringing together expertise from physics, engineering, computer science, and mathematics. Students will gain interdisciplinary training, develop versatile skills in modelling, simulation, and data science, and engage with leading researchers and industry partners. Funding: The studentship covers full University fees for UK, EU, and International applicants, a research training budget, and a tax-free stipend of £20,780 for 2025/26 (standard UKRI rate). This support ensures students can focus on their research and professional development. Eligibility: Applicants should have or expect to obtain a first-class or upper second-class degree in a relevant discipline such as physics, chemistry, materials science, engineering, mathematics, or computer science. Experience or interest in computational modelling, simulation, or machine learning is highly desirable. International applicants 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 project page, preparing their academic transcripts, CV, and a statement of interest. The HetSys Centre offers guidance and support throughout the application process. This studentship is ideal for candidates passionate about using advanced computational techniques to solve real-world problems in materials science and energy technology. Graduates of HetSys are equipped for impactful careers in research, technology, and industry.

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.