University of Birmingham

Assistant or Associate Professor (Research and Education) in Sport Data Science - School of Sport, Exercise and Rehabilitation Sciences - 107404 - Grade 8 or 9

Birmingham
£47.3k – £88k/yr
Posted 26 days ago

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Assistant or Associate Professor (Research and Education) in Sport Data Science - School of Sport, Exercise and Rehabilitation Sciences - 107404 - Grade 8 or 9

Position Details

School of Sport, Exercise and Rehabilitation Sciences

Location: University of Birmingham, Edgbaston, Birmingham UK 

Full time starting salary is normally in the range £47,389 to £56,535 with potential progression once in post to £63,606

Full time starting salary is normally in the range £58,225 to £67,468 with potential progression once in post to £87,974

Grade: 8 or 9

Full Time, Permanent

Closing date: 4th June 2026

Interviews Scheduled:11th June 2026

Background

The School of Sport, Exercise and Rehabilitation Sciences at the University of Birmingham, UK, is a world-leading department that combines innovative and translational research with evidence-based professional practice to promote lifelong engagement in physical activity, optimising health, wellbeing, and performance for everyone. Consistently ranked in the top 10 of the QS World University Rankings by Subject and top 5 in the latest UK’s Research Excellence Framework, our research addresses societal challenges through multidisciplinary perspectives and enriches our degree programmes.

We are seeking to appoint a full-time Assistant or Associate Professor in Sports Data Science who will contribute to research, education, and administration. The role holder will be expected to demonstrate excellent academic citizenship, through constructive, collaborative, and supportive working relationships with colleagues and students.

As part of our efforts to enhance student professional development and employability, we welcome applications from individuals with expertise in data science, with applications in sports data analytics and related areas. We particularly welcome applicants with a strong research profile, including publications in leading conferences and journals in machine learning, artificial intelligence, data mining, and large-scale data analytics, with applications in sports data science considered essential. Applicants should also demonstrate strong potential to secure external funding and be able to articulate how their research and scholarly activity informs and shapes their teaching.

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You will join a thriving multidisciplinary academic community within the School, working closely with colleagues in Computer Science, and with access to excellent research and teaching facilities. We work closely with sporting organisations, technology partners, and clinical centres of excellence, and have a strong focus on extending our research and impact to the communities we serve.

Role Summary

The role holder will be based in Edgbaston. The key duties and responsibilities will include but not be limited to: giving lectures and seminars and supervising undergraduate / post-graduate students, course development and innovation, taking an active part in examinations, carrying out innovative research and writing papers on topics relevant to the specialist subject area (this will include journals, books and other material), and obtaining research grant funding.

The successful applicant will have a PhD in a relevant specialist subject area, as well as postdoctoral experience. We are looking for candidates who will actively contribute to our portfolio and community, through pursuit of research that will bring new opportunities, synergies, and interdisciplinary collaboration. The successful candidate will also have a track record in teaching at a higher education institution.

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Appointments will be made at either an Assistant Professor or Associate Professor level please specify which role you are applying for in the application

To download the full job description please click here:

Grade 8 [https://www.download.bham.ac.uk/vacancies/attachment/1074048.pdf]

Grade 9 [https://www.download.bham.ac.uk/vacancies/attachment/1074049.pdf]

Informal enquiries to Gareth Wallis, email: g.a.wallis@bham.ac.uk [g.a.wallis@bham.ac.uk

We believe there is no such thing as a 'typical' member of University of Birmingham staff and that diversity in its many forms is a strength that underpins the exchange of ideas, innovation and debate at the heart of University life. We are committed to proactively addressing the barriers experienced by some groups in our community and are proud to hold Athena SWAN, Race Equality Charter and Disability Confident accreditations. We have an Equality Diversity and Inclusion Centre that focuses on continuously improving the University as a fair and inclusive place to work where everyone has the opportunity to succeed. We are also committed to sustainability, which is a key part of our strategy. You can find out more about our work to create a fairer university for everyone on our website [https://www.birmingham.ac.uk/about/equality-diversity-inclusion].

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Skills

Sports Data Science
Machine Learning
Artificial Intelligence
Data Mining
Large-scale Data Analytics
Academic Citizenship
Research Grant Funding
University Teaching
Course Development
Student Supervision
Sports Data Analytics