Lecturer in Applied Mathematics

Vacancy terms: Full-time or job share, permanent

About the role

This role offers an opportunity to contribute to the School’s established strengths in applied statistics, artificial intelligence, machine learning and data science. You will drive forward research at the interface of mathematics, statistics and computer science, developing new methodologies for interpreting complex data and strengthening the theoretical foundations of modern AI and data driven approaches. The role provides excellent potential for interdisciplinary collaboration, including engagement with partners in health and life sciences, space research and environmental science, and you will be expected to publish high quality research, present at conferences and apply for external funding to support your work.

You will also contribute to a broad range of undergraduate and postgraduate programmes, delivering research informed teaching in applied statistics, data science and machine learning. You will support students through lectures, tutorials and project supervision, and play an active role in designing, enhancing and delivering modules that equip graduates with strong analytical and computational skills. The role involves contributing to assessment activities, quality assurance processes and the wider academic life of the School, helping to ensure an excellent student experience across all levels.

About you

You will hold a relevant PhD and post doctoral research experience in applied statistics, artificial intelligence, machine learning or data science, along with a strong record of high quality publications. You will be able to teach specialist topics in these areas at both undergraduate and master’s level, and you will communicate complex ideas clearly and effectively.

You will be an organised and collaborative academic with strong interpersonal skills and the ability to manage your research, teaching and administrative responsibilities effectively. You will have a solution focused approach, a willingness to contribute to academic leadership when required and the ability to work with colleagues across disciplines. 

Additional information

For informal enquiries, please contact Prof. Ruslan Davidchack at r.davidchack@le.ac.uk

We anticipate that interviews will take place during the week of 30 March 2026. 

The University of Leicester has been changing the world, and changing people’s lives, for 100 years. When you join us, you’ll become part of a community of Citizens of Change, which includes not only our staff and our current students but also thousands of Leicester graduates around the world.

As a diverse and forward-thinking employer, we embed the principles of equity, diversity and inclusion into everything we do. That includes not just our core missions of teaching and research, but also our support for staff, students and our local community through our values of Inspiring, Impactful and Inclusive.

We’re committed to the wellbeing of all our staff and to the sustainability of our environment, on our campus and beyond. We offer a competitive salary package, excellent pension scheme and a generous annual leave allowance, along with opportunities to develop your career in a supportive and collaborative environment.