About this role
About the role:
Funded by a European Research Council Starting Grant, you would be working on the project "Defect-Tolerant Materials for Energy" at the interface of Materials Chemistry and Artificial Intelligence (AI). The project will focus on the use of computational chemistry and data-driven approaches to accelerate the discovery of inorganic materials for energy applications, including photovoltaics, transparent conductors, and thermoelectrics. This is an exciting opportunity to design and implement novel AI approaches for materials design and discovery. You will be part of a larger team of Research Associates and PhD students, consisting of computational chemists and computer scientists specialising in AI.
You will develop methods for extending machine learning force fields and training defect foundation models, using both software tools you develop and data collected by the larger team. You may also explore the potential for generative AI to accelerate the search for defect-tolerant materials. The broader research environment also includes the EPSRC-funded AI hub for Chemistry (AIchemy), for which Dr Ganose is a co-investigator.
What we are looking for
The post is ideal for individuals interested in working creatively at the intersection of AI and energy materials.
What we can offer you:
The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity. Grow your career: gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression. Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes). Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.
Further Information
A start date from 01 February 2026 or thereafter is available.
You will be based at White City Campus, some travel to South Kensington Campus will be required.
This is a full-time post (35 hours per week) and fixed term for 24 months.
Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant.
If you require any further details about the role, please contact: Dr. Alex Ganose, [email protected]