Senior Lecturer or Reader in Computational Statistics (Teaching & Research)

at  The University of Manchester

Applications are invited for the above post, to start in September 2025 or at a mutually agreed alternative date. We are looking for an academic of outstanding ability, who is seeking a friendly, supportive and collegial environment in which to develop as world-class researcher and teacher.
Applicants should hold a PhD or equivalent in Statistics or a closely related field and be able to demonstrate an outstanding research record in an area of Computational Statistics as well as an ability to lecture a range of courses in Statistics and related areas at both undergraduate and postgraduate level.
The successful candidate will strengthen one or more of the following strategic research areas in the Department: biomedical data analysis, computational statistics and machine learning, foundations of data science and AI, high-dimensional data analysis, and uncertainty quantification.
We expect a genuine commitment to and enthusiasm for both teaching and research and the development of others. The successful candidate will carry out research in Statistics and supervise research (PhD) students. They will teach undergraduate and masters-level courses and to contribute to the ongoing curriculum development. Furthermore, they will provide project supervision to students at undergraduate and masters-level in programmes offered by the Department. They will also perform other usual departmental duties, including examinations and further administrative tasks.
There are many opportunities to engage with other researchers at the University including the Institute for Data Science and Artificial Intelligence (https://www.idsai.manchester.ac.uk/ ). 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
https://www.manchester.ac.uk/connect/jobs/benefits-working-here/. 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
https://www.maths.manchester.ac.uk/connect/social-responsibility/. This is a full time post but applications from individuals seeking part time, job share or flexible working arrangements are welcome.
Candidates should provide a full academic CV, to which they should append:
(i) a 2-page research statement outlining their research record and future plans;
(ii) a 2-page teaching statement outlining their teaching experience, approach and philosophy. This should also include descriptions of up to three dissertation projects (BSc, MSc) that could be offered to students.
(iii) a diversity statement (1-2 paragraphs) that describes their involvement with activities relating to equality, diversity, inclusivity and accessibility.
Please note that only one pdf file can be uploaded so please combine these documents into one file.

Please refer the Job description for details