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

Job title:

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

Company

University of Manchester

Job description

Job reference: SAE-027186Salary: £58,596 to £69,757 per annum, depending on relevant experience extending to £76,125 for Reader, per annum, depending on relevant experienceFaculty/Organisational Unit: Science and EngineeringLocation: Oxford RoadEmployment type: PermanentDivision/Team: Department of MathematicsHours Per Week: Full timeClosing date (DD/MM/YYYY): 13/02/2025Contract Duration: n/aSchool/Directorate: School of Natural SciencesApplications 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.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.In addition, candidates should make sure to explain how they meet the essential and desirable criteria outlined in the person specification for the post. This information should be provided in the Supporting Information section of Jobtrain by listing each criterion as a paragraph heading and then explaining underneath how that criterion is met.Proposed Interview Dates: 13th or 14th March 2025As 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.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 .Enquiries about the vacancy, shortlisting and interviews:Name: Head of the Probability & Statistics Group within the Department of Mathematics, Professor Korbinian StrimmerEmail:General enquiries:Email:Technical support:This vacancy will close for applications at midnight on the closing date.£58,596 to £69,757 per annum, depending on relevant experience extending to £76,125 for Reader, per annum, depending on relevant experience

Expected salary

£58596 – 69757 per year

Location

Manchester

Job date

Sun, 10 Nov 2024 03:51:49 GMT

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