PhD Studentship: Machine Learning Accelerated Inverse Design of Graphene Nanoribbons for Green Energy
University of Warwick
About the project: Machine learning accelerated Inverse Design of Graphene Nanoribbons for Green Energy Supervisor: Dr Sara Sangtarash, University of Warwick Thermoelectric materials convert heat into electrical energy, crucial for sustainable power and waste heat recovery. Their efficiency is measured by the figure of merit, ZT. Achieving high ZT requires a delicate balance: high electrical conductance (G) and Seebeck coefficient (S) with low thermal conductance (k). Graphene Nanoribbons (GNRs) are promising bu...
About the project: Machine learning accelerated Inverse Design of Graphene Nanoribbons for Green Energy Supervisor: Dr Sara Sangtarash, University of Warwick Thermoelectric materials convert heat into electrical energy, crucial for sustainable power and waste heat recovery. Their efficiency is measured by the figure of merit, ZT. Achieving high ZT requires a delicate balance: high electrical conductance (G) and Seebeck coefficient (S) with low thermal conductance (k). Graphene Nanoribbons (GNRs) are promising bu...
Opportunity details
About the project: Machine learning accelerated Inverse Design of Graphene Nanoribbons for Green Energy Supervisor: Dr Sara Sangtarash, University of Warwick Thermoelectric materials convert heat into electrical energy, crucial for sustainable power and waste heat recovery. Their efficiency is measured by the figure of merit, ZT. Achieving high ZT requires a delicate balance: high electrical conductance (G) and Seebeck coefficient (S) with low thermal conductance (k). Graphene Nanoribbons (GNRs) are promising but currently, designing high-ZT GNRs is a slow, trial-and-error process, as the inverse problem is computationally intractable. This project uses an AI-guided inverse design loop. A goal-directed AI proposes novel GNR architectures, which a fast machine learning model rapidly evaluates, accelerating the discovery of next-generation thermoelectrics. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys (Centre for Doctoral Training in Modelling of Heterogeneous Systems) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Big Questions, Real Impact – From climate modelling and sustainable energy to advanced materials and biomedical systems, HetSys projects apply cutting‑edge computational and mathematical techniques to problems with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both academia and industry. Collaborative Environment – Work alongside leading researchers and industry partners in a supportive, vibrant community that valu...
Eligibility
Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both academia and industry. Future‑Focused Careers – HetSys graduates are equipped with highly sought‑after skills in modelling, simulation, and data science, preparing them for impactful careers in research, technology, and beyond.
Requirements
Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both academia and industry. Future‑Focused Careers – HetSys graduates are equipped with highly sought‑after skills in modelling, simulation, and data science, preparing them for impactful careers in research, technology, and beyond.
Funding and benefits
Funding eligibility: UK Students. Funding amount: Awards for UK applicants cover full University fees, give a research training budget and a tax-free stipend to cover living costs (standard UKRI rate £21,805 in 26/27 - equivalent to national living wage).
How to apply
Big Questions, Real Impact – From climate modelling and sustainable energy to advanced materials and biomedical systems, HetSys projects apply cutting‑edge computational and mathematical techniques to problems with global significance.
Open the official application information
Verify the deadline and final conditions on the official provider page before submitting an application.
Benefits
Funding eligibility: UK Students. Funding amount: Awards for UK applicants cover full University fees, give a research training budget and a tax-free stipend to cover living costs (standard UKRI rate £21,805 in 26/27 - equivalent to national living wage).
Eligibility summary
Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both academia and industry. Future‑Focused Careers – HetSys graduates are equipped with highly sought‑after skills in modelling, simulation, and data science, preparing them for impactful careers in research, technology, and beyond.
Requirements
Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both academia and industry. Future‑Focused Careers – HetSys graduates are equipped with highly sought‑after skills in modelling, simulation, and data science, preparing them for impactful careers in research, technology, and beyond.
Documents required
Language/test requirements
Listing-board disclaimer
Prime Scholarship Alerts is a listing board only and does not provide application procedures or guarantee scholarship awards. Verify all requirements, deadlines, fees, and application instructions through the provider before applying.