Scholarship details

Study levels


Student type

Future students and Current students

Study area

Science, technology and engineering and mathematics

Eligibility criteria

Struggling financially

Application dates

Applications close
31 December 2022

What you'll receive

You'll receive a scholarship, tax exempt and indexed annually, of $28,597 per annum for a period of three years with a possible 6 month extension, subject to satisfactory progress.

If you're an international student, you will also receive either:

  • an Australian Government Research Training Program (RTP) fees offset (International), or,
  • a QUT research degree (HDR) tuition fee scholarship.


To apply for this scholarship, you must meet the entry requirements for a Doctor of Philosophy (PhD) at QUT, including any English language requirements for international students.

Applicants must be able to commit to full-time, internal enrolment.

How to apply

To express your interest in this scholarship opportunity, please E-Mail Dr Xiaomeng Li.

Please ensure you attach:

  • A CV
  • your academic transcripts.

What happens next?

The successful applicant will be invited to submit a formal application. We are seeking to fill this scholarship as quickly as possible.

Please contact with Dr Xiaomeng Li any questions.


The conditions for retaining the scholarship are set out in the rules of the QUT Postgraduate Research Award (Domestic) or QUT Postgraduate Research Award (International).

About the scholarship

CARRS-Q has developed a strong expertise in AV and ADAS, and operate an Automated Vehicle for its research on test track and open roads

We have collected more than 12,000km of sensor data in various Australian conditions, and we are progressing quickly to a broader understanding of safe operation of AV technologies on our roads. We are looking for PhD candidates to progress further on these topics. PhD positions are available for highly motivated domestic and/or international students to work on a project that aims to improve the interpretability of Automated Vehicle decisions to human users.

Automated Vehicles are developing rapidly and promise to improve road safety. These vehicles are equipped with advanced Artificial Intelligence (AI) techniques to perceive, learn, decide and act. However, the ability of the AI algorithms to explain their decisions to humans is critically poor.

This project seeks an innovative approach to develop a human-centric eXplainable Automated Vehicle Framework to improve user comprehension of the rationale underlying vehicle decisions. This project will involve a multidisciplinary research program that generates knowledge in the fields of cognitive psychology, computer science and human-computer-interaction. You will conduct lab and field experimental research under the supervision of the project chief investigators. Research activity will include:

  • field tests with real-world automated driving
  • advanced driving simulator studies
  • in-vehicle human-machine-interface design
  • development of explainable deep learning models
  • qualitative (e.g. interviews) and quantitative (e.g. vehicle dynamics, human behaviours) data collection and analysis.

This project is funded by the Australian Research Council as part of the Discovery Program. It will be primarily based in the Centre for Accident Research and Road Safety-Queensland (CARRS-Q) at the Kelvin Grove campus of Queensland University of Technology in collaboration with Gustave Eiffel University (France). CARRS-Q provides a highly collaborative environment with state-of-the-art research equipment and the opportunity to work with a vibrant community of students and research fellows.

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