University of Warwick
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University of Warwick HetSys PhD Studentship
PhD Studentship in Machine Learning-Accelerated Inverse Design of Graphene Nanoribbons for Green Energy University of Warwick in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 28, 2026
Country
United Kingdom
University
University of Warwick

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About this position
PhD Studentship at the University of Warwick in Machine Learning-Accelerated Inverse Design of Graphene Nanoribbons for Green Energy.
This project is hosted by the Centre for Doctoral Training in the Modelling of Heterogeneous Materials (HetSys), School of Engineering, University of Warwick. It focuses on graphene nanoribbons, thermoelectric materials, green energy, machine learning, and inverse design. The research aims to accelerate discovery of next-generation thermoelectrics by combining AI-guided design with fast ML evaluation of candidate nanoribbon architectures.
Funding: Fully funded for UK applicants. The award covers full University fees, includes a research training budget, and provides a tax-free stipend for living costs at the standard UKRI rate (£21,805 in 26/27).
Eligibility: The advert states this is for UK students. No further entry requirements are listed in the post, but the topic suggests a strong fit for candidates interested in computational materials science, modelling and simulation, data science, physics, and engineering.
Supervisor: Dr Sara Sangtarash, University of Warwick.
Deadline: 28 August 2026.
If you are interested in AI for materials discovery, thermoelectric transport, and sustainable energy applications, this PhD offers interdisciplinary training in science, engineering, mathematics, and data-driven modelling.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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