| 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-2026-011 |
About the project:
Generative AI-enabled Molecular Design for Optoelectronic Applications
Supervisor: Dr Zsuzsanna Koczor-Benda, University of Warwick
Molecular optoelectronic devices have a high potential in ultrasensitive detection, nanoscale electronics, and medical imaging, but finding promising molecules for these applications is challenging because exceptional optical and electronic performance needs to be balanced with stability and ease of synthesis.
Current AI tools can explore vast chemical spaces but often suggest molecules that are unstable or hard to make. This project develops a generative AI framework that utilizes machine learning predictions and quantum chemistry simulations to design stable, synthesizable, high-performance molecules.
The framework will integrate multi-objective optimisation and multi-fidelity active learning, creating a practical route to discovering new molecules for optoelectronic devices.
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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