Lecturer (Assistant Professor) in Computational and Data-Driven Chemistry at Newcastle University, UK

Do your expertise and passion lie in developing and applying new data science research techniques in Chemistry? Can you inspire and engage students studying Computational Chemistry and Data Science? If so we would love to hear from you!

Newcastle University is looking to appoint a Lecturer (equivalent to Assistant Professor) in Computational and Data-Driven Chemistry to conduct research and research-led teaching that complements and extends our research strengths in, for example, Medicinal Chemistry and Energy Materials.

You will demonstrate an ability to conduct and sustain an internationally recognised, externally funded, interdisciplinary research programme within the broad topic of Computational and Data Driven Chemistry commensurate with the level of appointment. You will also share our passion for high quality interdisciplinary research-led teaching and be able to contribute to a range of undergraduate and postgraduate teaching in Chemistry.

Newcastle University is committed to being a fully inclusive Global University which actively recruits, supports and retains colleagues from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all our employees and the communities they represent.  We are proud to be an equal opportunities employer and encourage applications from everybody, regardless of race, sex, ethnicity, religion, nationality, sexual orientation, age, disability, gender identity, marital status/civil partnership, pregnancy and maternity, as well as being open to flexible working practices.

Closing Date: 17 August 2022

For further details about the role and to apply, please see:

For further information about Chemistry at Newcastle:

For all informal enquiries please contact any of our Computational Chemistry team:

Professor Tom Penfold
Dr Agnieszka Bronowska
Dr Daniel Cole
Dr James Dawson