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Flinders University

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Flinders PhD Enterprise Scholarship

PhD Scholarship in AI and Data Science for Performance Analytics in Elite AFL Flinders University in Australia

Degree Level

PhD

Field of study

Computer Science

Funding

Stipend valued at $42,000 per year for 3.5 years. Includes a Research Training Program Fee Offset Scholarship covering tuition fees for Australian citizens, New Zealand citizens, and permanent residents. Also includes a minimum 60 FTE day (3-month equivalent) research internship with Port Adelaide Football Club.

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Australia

University

Flinders University

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Keywords

Computer Science
Data Science
Sports Science
Mathematics
Artificial Intelligence
Forecasting
Sports Analytics
Biomechanic
Statistics
Statistical Modelling
ML

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About this position

Flinders University is advertising a PhD Scholarship in AI and Data Science for Performance Analytics in Elite AFL, in partnership with the Port Adelaide Football Club. The project is based in Adelaide, South Australia, with an industry component at PAFC in Alberton.

The research focuses on performance metrics, key performance indicators, opposition and team analysis, play-style categorisation, influential statistical indicators, player categorisation, rating models, and forecasting models to support team performance evaluation, competition benchmarking, coaching, recruitment, and strategic decision-making in elite Australian rules football.

Supervision is by Dr Asara Senaratne, Associate Professor David Hobbs, Associate Professor Maarten Immink, and Dr Dylan Hicks.

Funding: stipend of $42,000 per year for 3.5 years, plus a Research Training Program Fee Offset Scholarship covering tuition fees for eligible Australian citizens, New Zealand citizens, and permanent residents. The scholarship also includes a minimum 60 FTE day research internship with Port Adelaide Football Club.

Eligibility: applicants should have a background in Sport and Exercise Science, Biomechanics, Data Science, Mathematics/Statistics, or Engineering, with applied coding and analytical skills in Python, R, SQL, or MATLAB. Experience or interest in statistical modelling, machine learning, or computational analysis in a sporting/performance context is preferred. Applicants must be Australian citizens, New Zealand citizens, or permanent residents, and meet PhD admission requirements including an Honours Class 1 or 2A (or equivalent AQF Level 8) with a research component, or equivalent research experience.

How to apply: contact the project lead, Dr Asara Senaratne, by email before applying to discuss interest and eligibility. If invited, submit a CV and covering letter. The advert notes that applications will be shortlisted and interviews held after the close of applications.

Funding details

Stipend valued at $42,000 per year for 3.5 years. Includes a Research Training Program Fee Offset Scholarship covering tuition fees for Australian citizens, New Zealand citizens, and permanent residents. Also includes a minimum 60 FTE day (3-month equivalent) research internship with Port Adelaide Football Club.

What's required

Applicants should have a background in Sport and Exercise Science, Biomechanics, Data Science, Mathematics/Statistics, or Engineering, and demonstrate applied coding and analytical skills such as Python, R, SQL, or MATLAB. Interest or experience in statistical modelling, machine learning, or computational analysis in a sporting or performance context is preferred. Eligibility requires Australian citizenship, New Zealand citizenship, or permanent residency, plus PhD admission requirements including an Australian Honours degree Class 1 or 2A or equivalent AQF Level 8 qualification with a research component of at least 6 months full-time study achieving Distinction (75%), or equivalent research experience such as a substantial first-author refereed publication or competitive grant involvement. The student must be available to commence full-time at Flinders University in semester 1, 2027 or earlier.

How to apply

Contact the project lead, Dr Asara Senaratne, by email to discuss interest and eligibility before applying. If invited, submit a CV and covering letter outlining qualifications, experience, research experience, and reasons for applying. Shortlisted applicants will be interviewed after applications close.

More information can be found here

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