Scholarship details

Study levels

PhD

Student type

Future students and Current students

Study area

Data science, 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'll receive a stipend of $41,600 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD.  The duration includes an extension of up to six months (PhD). This is the full-time, tax exempt rate which will index annually.
  • You will receive a tuition fee offset/sponsorship, covering the cost of your tuition fees for the first four full-time equivalent years of your doctoral studies.
  • 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.
  • PhD students will receive $20,840 in allowances (training, travel, thesis).

Eligibility

  • You need to meet the entry requirements for a QUT Doctor 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

Themes

Personalised performance and team performance

Sports research objective/question

Video machine learning for tracking athletic throw events – can we profile an athlete's throwing mechanics from video and determine how/where the throw velocity is generated?

  • Developing high precision models to auto track throwing implements from a fixed video camera.
  • How to apply outputs from computer vision to support coaches.

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