Scholarship details

Study levels

Postgraduate, Research and Honours

Student type

Future students and Current students

Study area

Data science, Health, Mathematics, Science, Science, technology and engineering and mathematics

Eligibility criteria

Indigenous Australian, Academic performance, Struggling financially, From regional, rural or remote areas, Sporting excellence, Women and From a non-English speaking background

Citizenship

Australian or New Zealand

Application dates

Applications close
30 September 2024

What you'll receive

  • You will receive a scholarship of $10,000 for one year, usually paid over two semesters.
  • As the scholarship recipient, you will have the opportunity to work with a team of leading researchers, to undertake your own innovative research in and across the field.
  • Honours/master degree students will receive $5,000 in allowances (training, travel, thesis).

Eligibility

  • You need to meet the entry requirements for a QUT degree in either an honours course or a Master of Philosophy, including any English language requirements.
  • Enrol as a full-time, internal student (unless approval for part-time and/or external study is obtained).
  • You must be an Australian or New Zealand citizen, Australian permanent resident, or a person entitled to stay in Australia, or enter and stay in Australia, without any limitation as to time.

How to apply

If you are (will be) a graduate (recently or otherwise) from any discipline, complete an expression of interest (EOI).  The steps are:

  1. Complete the EOI available at Next Generation Graduates Program (NGGP): Sports Data Science & AI - Centre for Data Science (qut.edu.au)
  2. Peruse the projects on offer at Next Generation Graduates Program (NGGP): Our Projects - Centre for Data Science (qut.edu.au).  Those that have already been awarded have a student name listed against them.
  3. Email your top three project preferences, along with your CV and academic record, to admin.sportsdata@qut.edu.au.  We will be in touch with next steps.

About the scholarship

Theme

AI for holistic athlete performance and wellbeing

Sports research objectives/questions

Does athlete mental health correlate with the athlete's unique biological/physiological makeup throughout the season?

  • Quantify phenotype using AI to predict personalised markers of stress and correlate them to validated tool in mental health (pre-season, start, mid, end of season).
  • Collaborating with other phenotype and genetic assessments to provide deeper insights.

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