[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.