Postdoctoral Researcher in Artificial Intelligence and Machine Learning for Materials Design and Discovery Grade 7

An opportunity to lead work on materials design and discovery for an exceptional researcher with experience in developing and applying Artificial Intelligence and Machine Learning tools to materials science. This position forms part of an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional Materials Design. An example of such pathway to discover new experimental structures is demonstrated in a recent paper (*Science*, **2024**, *383*, 739) in which ML tools were used to prioritise the target chemistry for synthesis.

As we work closely with experts in chemistry and computer science, the environment that this creates is central to all of the group¿s work. You must therefore be able to interact effectively with colleagues with complementary skills (e.g. structure prediction or measurement physics specialists).

The post is available for up to 36 months.

Any applicants who are still awaiting their PhD to be awarded should be aware that if successful, they will be appointed at grade 6, spine point 30.  Upon written confirmation that they have been successful in being awarded their PhD, they will be moved onto grade 7, spine point 31 from the date of their award. 

The University has the right to close the vacancy early if it is deemed that there have been enough applications received.