Scholarship details

Study levels

PhD

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'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 6 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 4 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, please complete an Expression of Interest.  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. Please email your top 3 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:

Data-driven technological innovations for health and performance

Sports research objectives/questions:

WearOptimo has developed a wearable sensor to sense the hydration status of individuals. The sensor uses micro-needles to penetrate the skin and sense impedance, which in turn allows hydration state (hydrated/dehydrated) to be estimated. In addition, the device has a temperature sensor and IMU integrated. The device is currently undergoing clinical trials to assess its ability to measure hydration state.

This project would use data from WearOptimo’s hydration sensor and develop novel Bayesian methods to model hydration state.

  • How can hydration state and its change over time be inferred?
  • How can the temporal change of hydration be modelled, considering variations in individuals and environments?

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