Assistant Professor in Statistics

Department of Statistics

LSE is committed to building a diverse, equitable and truly inclusive university. As an equal opportunities employer strongly committed to equity, diversity and inclusion, we encourage applications from women and people from ethnic minority backgrounds as they are currently under-represented at this level in this area. All appointments will be made on merit or skill and experience relative to the role.

Applications for this new post are invited from outstanding candidates in the field of data science and statistics. Successful candidates will join an established and successful department and contribute to its research and teaching in data science and statistics. The post is tenable from 1 September 2027.

You should have expertise and research interests in statistics, data science, or machine learning. You will have a track record or trajectory of internationally excellent publications, proven ability, as evidenced by existing publications, or potential to publish in top conferences or journals. You will also have a clear, well-developed and viable strategy for future outstanding research that has the potential to result in world-leading publications.

You must have a completed PhD, or close to obtaining a PhD in statistics or related areas such as computer science or mathematics by the post start date.

The other criteria that will be used when shortlisting for this post can be found on the person specification, which is attached to this vacancy on the LSE’s online recruitment system.

We welcome applications from candidates who are keen to collaborate with colleagues with complementary research interests, both from within the Department and from other departments in the School. The Department has research expertise across different areas, including data science, probability in finance and insurance, social statistics, and time series and statistical learning. The School provides opportunities for research collaboration through the new Global Institute for Technology and Society, and other institutes.

In addition to a competitive salary the benefits that come with this job include:

• occupational pension scheme
• research grants policy with personal reward options
• generous research leave (sabbatical) entitlement
• a collegial faculty environment
• excellent support, training and development opportunities

The closing date for receipt of applications is Sunday 13 December 2026 (23.59 UK time). We are unable to accept any late applications.