Data Science and Machine Learning Applied to the Discovery of Solid Lithium Ion Conductors

Materials Innovation Factory at the University of Liverpool

New inorganic materials are needed to advance technologies such as batteries for electric vehicles and grid storage, and to develop basic science. This PhD project is an exciting opportunity for the development and application of methods taken from data science and machine learning to the discovery of new inorganic materials which will function as the electrolyte within an all solid state lithium ion battery. The student will be part of a wider project addressing the Faraday Challenge “Batteries for Britain”, and based in the newly-opened Materials Innovation Factory at the University of Liverpool.

As well as obtaining knowledge and experience in data science, machine learning and inorganic material discovery, the student will develop skills in teamwork and scientific communication as computational and experimental researchers within the team work closely together. Applications are welcomed from candidates with a strong undergraduate interest and/or background in data science, machine learning, computational materials discovery or related fields.

The studentship will be jointly supervised by Dr Matthew S Dyer (Department of Chemistry) and Dr Vitaliy Kurlin (Department of Computer Science).

The successful candidate should have, or expect to have, at least a 2:1 degree or equivalent in Computer Science, Mathematics, Chemistry, Physics or Materials Science. Please apply by completing the online postgraduate research application form.  Applications should be made as soon as possible.  Informal enquiries should be addressed to Dr Dyer (

Funding Notes

The funding for this position will be either a University of Liverpool GTA or an EPSRC DTP studentship. The eligibility details of both are below.

EPSRC eligibility - Applications from candidates meeting the eligibility requirements of the EPSRC are welcome – please refer to the EPSRC website . The award will pay full tuition fees and a maintenance grant for 3.5 years. The maintenance grant will be £14,553 pa for 2017-18.

GTA eligibility (EU and non-EU students) - Depending on the successful applicant (EU or non-EU) this studentship would include a commitment to work up to 144 hours per academic year to help with teaching-related activities in modules currently taught in the Department of Chemistry, as assigned by the Head of Department or his representative. The award will pay full home/EU tuition fees and a maintenance grant for 3.5 years. Non-EU applicants may have to contribute to the higher non-EU overseas fee.