CSIRO & AIS Sports Data Science PhD Scholarship
Value
- Stipend of $41,650 (pa). This is tax free.
- Training budget: $5,000 (total) over the period of full candidature.
- Travel budget: $5,000 (total) over the period of full candidature. (although students are able to apply for additional UTS postgraduate travel and research funding).
- Thesis allowance: $850;
- 6-month industry partner placement.
- Integrated training led by the CSIRO on AI and Emerging Technology.
The CSIRO Sports Data Science and AI Consortium also offers the ability for each of these three students to tap into expertise within other consortium projects across other university partners, including QUT, UNSW and LaTrobe University, and the travel budget supplied can be used to work face-to-face with consortium members (both students and supervisory staff).
Duration
3.5 years
Status
Closed
Opens
12/01/2024Closes
08/02/2024Overview
to undertake a Doctor of Philosophy at the Faculty of Health, UTS in Sports Data Science with AIS.
CSIRO Sports Data Science and AI Consortium
As part of the Australian Government’s Digital Economy Strategy and Artificial Intelligence Action Plan, the CSIRO, has developed the Next Generation Artificial Intelligence (AI) and Emerging Technologies (ET) graduates’ program. As a part of these initiatives CSIRO has constructed the “Sports Data Science and AI Consortium.” This consortium aims to train a cohort of future sports data scientists. PhD candidates in this consortium will receive the opportunity to undertake an 11-week coursework program - developed, led, and managed by CSIRO Data61 - allowing students from a diverse range of backgrounds to learn from each other developing foundational skills required for a career in data. Students will also connect with partner institutions during their candidature, allowing them to gain experience in the practical implications of their work.
The Project
UTS has partnered with the Australian Institute of Sport (AIS) in Canberra with a project focused on integrating state of the art quantitative methods for managing complex athlete monitoring data, into decision support systems and capability for applied sports biomechanists and sport scientists. Access to data for tracking athletes and their performance progressions over time is easier than ever, with the complexity in data types growing more and more. This PhD will be focused on applying and integrating contemporary and statistical and data-science approaches for making sense of this information, building it into visually intuitive decision support systems to improve athlete performance and promote the health of the athlete.
Successful applicants will be supervised by and interdisciplinary team with expertise across both sport and data-science.
Who is eligible?
- To be eligible for this scholarship, applicants must be domestic students as per the Higher Education Support Act at the time of award. Under this act, domestic students include:
- Australian citizens,
- Australian permanent residents,
- a person entitled to stay in Australia, or to enter and stay in Australia, without any limitation as to time; or
- a New Zealand citizen.
Selection process
We welcome applicants from a broad range of backgrounds. A background in mathematics, statistics, computer science or engineering lends itself strongly to this project, but we strongly encourage anyone to apply who has undertaken any type of formal or informal training in data analysis, programming and computation, or can demonstrate the potential to grow these skills within the program.
A candidate with a passion and interest in sport, and an interest in delivering highly-applied partner-focused outcomes is also highly valued.
Applicants will be assessed on the basis of academic merit, previous research experience, research outputs, and alignment with the University's research priorities.
In addition to ensuring you are eligible for admission to UTS, students should contact Dr John Warmenhoven to discuss suitability before submitting an Expression of Interest (EOI).
Need more information? Contact...
To discuss the research project and or EOI process, please contact Dr John Warmenhoven (john.warmenhoven@uts.edu.au)
To discuss application requirements, please contact FOH.HDR.Enquiry@uts.edu.au
Other information
To be eligible for a scholarship, applicants are expected to have a record of excellent academic performance and, preferably, additional relevant research experience and/or peer-reviewed research activity, awards and/or prizes.
Scholarship holders will have the opportunity to undertake industry placements with industry partner(s) of the program within which the student enrols.
Students will complete the coursework component of the Next Generation Graduates Program within the first 12 months of receipt of a scholarship (so that skills from this program can be integrated into their doctoral work).
In addition to ensuring you are eligible for scholarship and admission to UTS, students must submit an Expression of Interest (EOI) to Dr John Warmenhoven (by email: john.warmenhoven@uts.edu.au). EOI submission deadline is 8 February 2024, but if a successful candidate is found earlier recruitment will be suspended.
Your EOI should include:
- A Cover letter to include a personal statement (750 words maximum) outlining your suitability for undertaking this project, what you hope to achieve by doing this project and your research experience to date.
- Academic curriculum vitae including your qualifications, work and research experience, including:
- Evidence of research output (peer-reviewed publications) demonstrating your capacity to undertake independent research (if applicable).
- Evidence of prizes, scholarships, and awards (certificates, statements of award).
- Evidence of degrees completed to date.
Shortlisted candidates should be available for a face-to-face interview between 12th and 20th of February 2024.
