We are an academic research group focussed on discovering new solid-state materials with useful properties including magnetism, electronic/ionic conduction and phase transitions. We combine experimental synthesis, physical characterisation and data-driven (machine learning) approaches. Our current interests include mixed anion materials and the relationship between atomic structure and physical properties.
UK IC Postdoctoral Research Fellowship
If you're an early career researcher (ECR) looking for a postdoctoral fellowship, and are interested in machine-driven materials discovery and/or synthesis please get in touch as we would love to work with you! More details available on the RAEng website; deadline 19th April.
A new year, new group members
We're delighted to welcome two new members to the group this year! Ruizhi joins us as a PDRA from Queen Mary, University of London and will be working on developing new ways of describing crystal structures for use in machine learning. Ellie joins us for her final year Chemical Physics project looking at the effect of oxide doping on the electronic properties of niobium oxyfuorides. Welcome to them both!
We're hiring a postdoctoral researcher! If you are interested in combining machine learning with crystallography in order to discover new materials, please apply for our PDRA position funded by the AI3SD network. Closing date 3rd August 2020.