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:
- Complete the EOI available at Next Generation Graduates Program (NGGP): Sports Data Science & AI - Centre for Data Science (qut.edu.au)
- 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.
- 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
Personalised performance and team performance
Sports research objective/question
The proposed research seeks to advance the understanding of Olympic and Paralympic medal-winning performances by employing Artificial Intelligence (AI) and machine learning (ML) techniques. The study aims to develop sophisticated predictive models that consider the diverse categories of sports in the Olympic/Paralympic Games, including racing, judging, and head-to-head sports. By categorising sports based on their inherent characteristics and employing appropriate AI and ML approaches, this research will provide insights into the career progression of successful athletes in various sports and allow for the development of more robust frameworks with which to assess long term athlete development and performance progression.