Applications are invited for the above post, to start in January 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 Statistics as well as the 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 statistics, computational statistics and machine learning, foundations of data science and AI, high-dimensional data analysis, mathematical epidemiology, and uncertainty quantification.
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 Statistics as well as an ability to lecture a range of courses in Statistics and related areas at both undergraduate and postgraduate level.
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.
In their application, candidates should describe how they meet the essential and desirable criteria outlined in the person specification for the post.
What you will get in return:
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Our University is positive about flexible working – you can find out more here
Hybrid working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk.
Any CV’s submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting and interviews:
Name: Korbinian Strimmer
Email: korbinian.strimmer@manchester.ac.uk
General enquiries:
Email: People.recruitment@manchester.ac.uk
Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home
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.
