At a Glance
- Tasks: Teach, research, and innovate in Sports Data Science while mentoring students.
- Company: Join the University of Birmingham's top-ranked School of Sport, Exercise and Rehabilitation Sciences.
- Benefits: Competitive salary, career progression, and access to excellent research facilities.
- Other info: Diverse and inclusive environment with strong community focus.
- Why this job: Make a real impact in sports data science and shape future professionals.
- Qualifications: PhD in a relevant field and postdoctoral experience required.
The predicted salary is between 47389 - 67500 £ per year.
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.
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)
- 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.
Appointments will be made at either an Assistant Professor or Associate Professor level; please specify which role you are applying for in the application.
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.
Assistant or Associate Professor (Research and Education) in Sport Data Science - School of Sport, Exercise and Rehabilitation Sciences - 107404 - Grade 8 or 9 in Birmingham employer: The University of Birmingham
Contact Detail:
The University of Birmingham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assistant or Associate Professor (Research and Education) in Sport Data Science - School of Sport, Exercise and Rehabilitation Sciences - 107404 - Grade 8 or 9 in Birmingham
✨Tip Number 1
Network like a pro! Attend conferences, workshops, and seminars related to sport data science. It's a great way to meet potential colleagues and collaborators, and who knows, you might even bump into someone from the University of Birmingham!
✨Tip Number 2
Show off your research! Prepare a portfolio that highlights your publications and projects in machine learning and data analytics. When you get the chance to chat with interviewers, make sure to discuss how your work can contribute to their innovative research.
✨Tip Number 3
Practice your teaching skills! Since you'll be giving lectures and supervising students, consider doing mock presentations or teaching sessions. This will help you feel more confident and showcase your teaching style during interviews.
✨Tip Number 4
Apply through our website! We want to see your application come through directly. It shows you're serious about joining our community and makes it easier for us to keep track of your application.
We think you need these skills to ace Assistant or Associate Professor (Research and Education) in Sport Data Science - School of Sport, Exercise and Rehabilitation Sciences - 107404 - Grade 8 or 9 in Birmingham
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences 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!
Showcase Your Research: Don’t hold back on sharing your research achievements! Include details about your publications, especially in machine learning and data analytics, as this is crucial for us. We love seeing a strong research profile that complements our mission.
Be Clear About Your Role Preference: When applying, specify whether you're aiming for the Assistant or Associate Professor position. This helps us understand where you see yourself fitting into our team and what level of responsibility you’re ready for.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way to ensure your application gets to the right people and shows your enthusiasm for joining our vibrant academic community!
How to prepare for a job interview at The University of Birmingham
✨Know Your Research Inside Out
Make sure you can discuss your research in detail, especially how it relates to sports data science. Be prepared to explain your methodologies, findings, and how they can impact the field. This shows your passion and expertise.
✨Engage with Teaching Philosophy
Think about your teaching style and philosophy. Be ready to share examples of how you've engaged students in the past and how you plan to innovate in course development. This is crucial for a role that combines research and education.
✨Show Collaborative Spirit
Highlight your experience working in multidisciplinary teams. Discuss any collaborations with colleagues from different fields, as this aligns with the department's focus on interdisciplinary research and community engagement.
✨Prepare Questions for Them
Have thoughtful questions ready for the interviewers about their current projects, departmental goals, or student engagement strategies. This demonstrates your genuine interest in the role and helps you assess if it's the right fit for you.