| Qualification Type: | PhD |
|---|---|
| Location: | Coventry, University of Warwick |
| Funding for: | UK Students, EU Students, International Students |
| Funding amount: | £20,780 Stipend + Fees + Training Budget |
| Hours: | Full Time |
| Placed On: | 1st December 2025 |
|---|---|
| Closes: | 28th January 2026 |
| Reference: | HP-2026-013 |
About the project:
Machine learning accelerated electronic transport calculations for complex materials
Supervisor: Prof. Neophytos Neophytou, University of Warwick
Advancements in materials synthesis have allowed the realization of many novel materials and their alloys, which are gradually finding their ways into numerous applications including energy, sustainability, medicine, novel computation, etc.
A major direction of interest is their electronic properties, which are the major driver behind many applications. However, the accurate assessment and prediction of electronic transport is a highly challenging task.
The project uses Machine Learning (ML), in combination with DFT and state-of-the-art Boltzmann transport methods, to predict, accelerate, and scale the computation of electronic properties of complex materials and their alloys. These are materials with multiple bands of different nature in their electronic structures, formed with elements across the periodic table.
The richness of experimental data from literature and project partners will aid towards model validation.
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.
If you’re excited by the idea of using advanced modelling and simulation to solve complex, real‑world problems, HetSys offers the perfect environment to push boundaries and make a difference.
Funding:
Awards for UK, EU, International applicants cover full University fees, give a research training budget and a tax-free stipend to cover living costs (standard UKRI rate £20780 in 25/26 - equivalent to national living wage).
Closing Date: 28/01/2026
Please apply via the ‘Apply’ button above.
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