Artificial Intelligence to accelerate Materials Discovery

New advanced materials are required to fuel innovations in clean energy, transport, electronics, engineering and health care sectors.

A postgraduate research opportunity is available to carry out innovative and cutting edge research to develop novel artificial intelligence computing tools to perform machine and deep learning of the complex relationships of materials-structure-processing-properties in order to accelerate the discovery of new nanostructured materials with unique properties that respond to environmental stimuli, such as self-maintenance, self-repair, self-replication, self-diagnosis for smart devices. The findings will be validated experimentally.

This exciting three-year project aims to discover and design scientific and technologically important new materials and optimise them for the next generation of low cost, eco-friendly and high performance devices at the UCL Institute for Materials Discovery.

This postgraduate research opportunity would suit candidate with a minimum of an upper second class degree in Materials Science/Engineering, Chemistry, Physics, Computer Science and/or a broad range of relevant backgrounds with a keen interest in new materials development and technological applications.

The successful candidate will conduct research in the state-of-the-art Materials Discovery laboratory (http://www.ucl.ac.uk/institute-for-materials-discovery) with a well-funded consumables budget. This highly interdisciplinary research will involve many national and international academic and industrial collaborations.

The position will be available until a suitable candidate is found.

For informal enquiries about the position, please contact Prof. Kwang-Leong Choy ([Email Address Removed]).

If you have any queries regarding the vacancy or the application process, please contact Randalle Roberts: [Email Address Removed].