At a Glance
- Tasks: Teach and research in Sport Data Science, shaping future leaders in the field.
- Company: Join a top-ranked university known for innovation and excellence in sport sciences.
- Benefits: Competitive salary, career progression, and a supportive academic environment.
- Other info: Diverse and inclusive workplace with a commitment to sustainability.
- Why this job: Make a real impact in sport data science while inspiring the next generation.
- Qualifications: PhD in a relevant field and strong research background in data science.
The predicted salary is between 47389 - 56535 € per year.
Position Details
School of Sport, Exercise and Rehabilitation Sciences
Location: University of Birmingham, Edgbaston, Birmingham, UK
Salary: Full‑time starting salary normally in the range £47,389 to £56,535 with potential progression once in post to £63,606. Full‑time starting salary normally in the range £58,225 to £67,468 with potential progression once in post to £87,974.
Grade: 8 or 9
Employment Status: Full Time, Permanent
Closing Date: 4th June 2026
Interview Date: 24th 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 Sport 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.
Responsibilities
- Teaching: giving lectures and seminars, supervising undergraduate and postgraduate students, course development and innovation, taking an active part in examinations.
- Research: carrying out innovative research and writing papers on topics relevant to the specialist subject area (including journals, books and other material) and obtaining research grant funding.
Qualifications
The successful applicant will have a PhD in a relevant specialist subject area, as well as postdoctoral experience. A strong research profile is required, with publications in leading conferences and journals in machine learning, artificial intelligence, data mining, and large‑scale data analytics, with applications in sport 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. They should have a track record in teaching at a higher education institution.
Appointments
Appointments will be made at either an Assistant Professor or Associate Professor level. Please specify which role you are applying for in the application.
Informal Enquiries
Informal enquiries to Sang-Hoon Yeo, email: s.yeo@bham.ac.uk
Equality, Diversity and Inclusion
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.
Assistant or Associate Professor (Research and Education) in Sport Data Science - School of Spo[...] employer: University of Birmingham
The University of Birmingham offers an exceptional work environment for those passionate about sport data science, fostering a culture of collaboration and innovation. With competitive salaries and clear pathways for career progression, employees benefit from a supportive atmosphere that values diversity and inclusion. Located in Edgbaston, Birmingham, the university is committed to addressing societal challenges through cutting-edge research and provides ample opportunities for professional development in a world-leading academic setting.
StudySmarter Expert Advice🤫
We think this is how you could land Assistant or Associate Professor (Research and Education) in Sport Data Science - School of Spo[...]
✨Tip Number 1
Network like a pro! Reach out to current staff or alumni from the University of Birmingham. A friendly chat can give you insider info about the department and might even lead to a recommendation.
✨Tip Number 2
Prepare for your interview by diving deep into the latest research in sport data science. Show us that you're not just knowledgeable but also passionate about how your work can impact the field.
✨Tip Number 3
Practice your teaching demo! We want to see how you engage students and make complex topics accessible. Make it interactive and fun – show us your teaching style!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who follow the process closely.
We think you need these skills to ace Assistant or Associate Professor (Research and Education) in Sport Data Science - School of Spo[...]
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight how your experience and skills align with the role of Assistant or Associate Professor in Sport Data Science. We want to see how you can contribute to our innovative research and teaching!
Show Off Your Research:Don’t hold back on showcasing your research achievements! Include details about your publications, grants, and any innovative projects you've been involved in. This is your chance to shine and demonstrate your expertise in machine learning and data analytics.
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential contributions.
Apply Through Our Website:Remember to submit your application through our official website. It’s the best way to ensure your application gets to us directly and is considered promptly. We’re excited to hear from you!
How to prepare for a job interview at University of Birmingham
✨Know Your Research Inside Out
Make sure you can discuss your research in detail, especially how it relates to sport data science. Be prepared to explain your methodologies, findings, and how they can contribute to the School's goals.
✨Showcase Your Teaching Experience
Prepare examples of your teaching methods and how you've engaged students in the past. Highlight any innovative course developments or successful student projects that demonstrate your ability to inspire and educate.
✨Demonstrate Collaborative Spirit
Since the role requires excellent academic citizenship, think of examples where you've worked collaboratively with colleagues or contributed to a team project. This will show that you're a team player who values constructive relationships.
✨Prepare for Funding Discussions
Be ready to talk about your experience with securing research funding. Have specific examples of grants you've applied for or received, and articulate how you plan to pursue funding opportunities in the future.
