The award is primarily available to students resident in the UK/EU and will pay full tuition fees and a maintenance grant for 3.5years (£14,777 pa in 2018/19). Non-EU nationals are not eligible for this position and applications from non-EU candidates will not be considered unless you have your own funding.
Holistic computational structure screening of more than 12 000 candidates for solid lithium-ion conductor materials. Energy Environ. Sci., 10, 306-320 (2017); http://dx.doi.org/10.1039/C6EE02697D
Machine learning modelling of superconducting critical temperature. arXiv:1709.02727 [cond-mat.supr-con] https://arxiv.org/abs/1709.02727
Perspective: Web-based machine learning models for real-time screening of thermoelectric materials properties. APL Mater. 4, 053213 (2016); http://dx.doi.org/10.1063/1.4952607