Job Description
A Research Fellow position is available in the group of Professor A. I. Cooper FRS. You will focus on developing state-of-the-art strategies to discover photocatalytic materials using a combination of predictive computational chemistry methods and robotic platforms and bring specialist expertise to strengthen our research in photocatalytic materials. You should have a PhD. in Chemistry, Physics or Materials Science, and excellent research skills in materials research are essential as well as the ability to take responsibility in research planning and organisation. You should have expertise in organic materials synthesis and/or materials characterisation, with a particular emphasis on photocatalysis. Additional expertise or an interest in applying their expertise in the areas of automation technologies, robotics, high-throughput methods or machine learning would be advantageous.
This position forms part of an interdisciplinary team working with computer scientists on the E.P.S.R.C Programme Grant ¿Digital Navigation of Chemical Space for Function¿ to develop a new approach to materials design and discovery exploiting both machine learning and symbolic AI, demonstrated by the realisation of new functional materials. The project combines experimental and computational approaches. We welcome applications from ambitious researchers with the skills to contribute to the project goal across chemistry, physics and materials science. The post is available for 3 years.
The University has the right to close the vacancy early if it is deemed that there have been enough applications received.
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