Senior Lecturer or Reader in Statistics and Data Science

  • The University of Manchester
  • Manchester M13, UK
  • 22/07/2022
Full time Data Science Big Data Statistics DevOps

Job Description

Job details

£53,348 - £63,668 a year
Job type

Full Job Description

Applications are invited for the above post, to start in January 2023 or at a mutually agreed alternative date. We are looking for statisticians of outstanding ability, who are seeking a friendly, supportive and collegial environment in which to develop as world-class researchers and teachers, and who will contribute to the continued development of the Data Science provision within the Department of Mathematics, in the School of Natural Sciences.

This appointment is part of an initiative that is specifically aimed at data science and its interface with statistics. This post forms part of the larger recruitment of ten data science posts across the University during 2021-23 to grow the existing vibrant staff team.

Applicants are sought in any area of statistics and data science that complements or extends existing expertise in the Department. Current research themes include computational statistics, uncertainty quantification, design of experiments. Bayesian learning, high-dimensional inference, biostatistics, modelling for longitudinal data and survival data, analysis of epidemiological, medical, and genomic data, the interface between statistics and machine learning, advanced regression models and foundations of deep learning (see ).

Applicants should have an outstanding track record of research in statistics and data science (with allowance made for career breaks) and a genuine commitment to, and enthusiasm for, teaching, research and the development of others. There are many opportunities for statisticians to engage with other researchers at the University across a wide range of disciplines and there exists a strong data science community ( ). We are also a University Partner of the Alan Turing Institute (the UK national institute for data science).

The Department and University are committed to the well-being and work-life balance of all staff. We have a package of family-friendly policies covering flexible working, career breaks and entitlement to paid maternity, paternity and adoption leave. For more details on these and other benefits see The Department is fully committed to Athena SWAN principles to promote women in science and is a supporter of the LMS Good Practice Scheme; for more details of our activities relating to Social Responsibility see This is a full time post but applications from individuals seeking part time, job share or flexible working arrangements are welcome.

Our University is positive about flexible working – you can find out more here

Blended working arrangements may be considered

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:

Name: Professor Korbinian Strimmer


General enquiries:


Technical support:

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.