Applications are open for a fully funded PhD position in Computational and Machine Learning Modelling of Low Temperature Plasmas at the University of Exeter. This project, supervised by Dr Hussein Rappel and Professor Gavin Tabor (University of Exeter) in collaboration with James Ellis (Oxford Instruments plc), focuses on developing advanced computational and data-driven models to optimise plasma atomic layer deposition equipment for advanced manufacturing. The research will involve physics-based computational modelling, numerical simulation, optimisation, and the application of machine learning techniques to improve the design and control of plasma systems.

The PhD is suitable for candidates with backgrounds in engineering, physics, applied mathematics, computational modelling, or data science. The successful applicant will work on both physics-based and machine learning approaches, contributing to the development of faster and more efficient design and control methods for industrial plasma equipment. The project is co-funded with industry, providing opportunities for industrial collaboration and real-world impact.

This studentship covers full tuition fees (UK and International) and provides a tax-free stipend of at least £21,805 per year. International students are welcome to apply, but must cover their own visa, healthcare surcharge, and relocation costs. The studentship will be awarded based on merit, and the collaboration with the industry partner is subject to contract. Full details of the partner’s involvement will be confirmed at the offer stage.

Applicants must have, or be about to obtain, a First or Upper Second Class UK Honours degree or equivalent in a relevant field. English language proficiency is required for non-native speakers. Application documents must include a CV, letter of application, transcripts, and two academic references. All documents must be in English, and certified translations are required for academic qualifications if not in English. The application deadline is 31 March 2026. For more information and to apply, visit the University of Exeter funding page or contact the PGR Admissions Team at [email protected]. Please quote reference 5824 in your application.