Scholarship details
Study levels
Research and PhD
Student type
Future students and Current students
Study area
Data science, Design, Engineering, Health, Health and community, Information technology, Science, technology and engineering and mathematics
Eligibility criteria
Academic performance
Citizenship
Australian, Australian or New Zealand and International
Application dates
- Applications close
- 30 September 2026
What you'll receive
- You'll receive a stipend of $41,555 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD (1.75 years for MPhil). The duration includes an extension of up to 6 months (PhD) or 3 months (MPhil) if approved for your candidature. 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 or the first 2 full-time equivalent years of your masters studies.
- Successful candidates will be part of a world-class research environment that bridges the gap between academia and real-world application. Key benefits include:
- State-of-the-art facilities: opportunities to utilise prototype automated vehicles, new test tracks, and advanced digital twin infrastructure.
- Industry integration: direct collaboration with industry leaders and government stakeholders, enhancing career prospects and providing real-world experience.
- Professional development: mentorship from leading experts and the opportunity to showcase findings in high-impact journals and at international conferences.
Eligibility
- You need to meet the entry requirements for a QUT research degree, including any English language requirements.
- Enrol as a full time, internal student (unless approval for part-time and/or external study is obtained).
Have an Honours or Master’s degree (or equivalent) in one of these areas:
Engineering, Computer Science, Human Factors, Psychology, Data Science, Robotics, or a related policy/business discipline.Have familiarity with empirical research methods, experimental design, or technical modelling relevant to your field. Having a demonstrated publication record or potential in peer-reviewed conferences or journals is highly advantageous.
How to apply
Apply for this scholarship at the same time you apply for admission to a QUT research degree.
- The first step is to view our list of available supervisors and investigators at AVR3's website, selecting a supervisor that aligns with your research area.
- Email your proposed supervisor and copy to avr3@qut.edu.au, detailing your academic and research background, your motivation to research in this field and interest in this scholarship, and include your CV.
- If supported to apply, you will then submit an Expression of Interest (EOI) for admission and scholarship consideration following the advice at How to apply for a research degree.
- In your EOI, enter your proposed supervisor's name in the form, and copy the link to this scholarship website into question 2 of the financial details section.
- Alternatively, you can submit an EOI directly to avr3@qut.edu.au outlining your proposed supervisor, research background, cover letter and CV.
About the scholarship
Headquartered at the Queensland University of Technology (QUT), AVR3 is a pioneering research hub dedicated to advancing automated vehicle (AV) technologies specifically tailored for the unique challenges of rural, regional, and remote Australian roads. AVR3 fosters a collaborative network of experts from multiple academic partners (including QUT, the University of Sydney, UTS, UWA, Deakin, and Swinburne), and industry leaders such as Ford Australia, Seeing Machines, RACQ, The Department of Transport and Main Roads, National Transport Commission, Transport For NSW, and end users in agriculture, mining, and defense.
Our research is organised into four core themes:
- Technology: focuses on engineering challenges such as localisation, navigation, sensing, and digital twin technology for rugged terrains.
- Human Interaction: investigates human factors, driver/operator engagement, community acceptance, and infrastructure adaptation.
- Regulation: addresses policy development, safety assurance
- Business: workforce transition and economic modelling for sectors like agriculture, mining, and emergency services.
Successful candidates will be part of a world-class research environment that bridges the gap between academia and real-world application.