International PhD Scholarships in Big Data & AI for Smart Transport at QUT, Australia

Queensland University of Technology (QUT)
Queensland University of Technology (QUT)

Looking to transform the future of transportation? Queensland University of Technology (QUT) invites applications for its prestigious International PhD Scholarships in Leveraging Big Data and AI/ML for Smart Transport Solutions for the academic session 2024/2025. This scholarship is designed to advance knowledge and innovation in transportation engineering by utilizing big traffic and mobility data alongside AI/ML algorithms to create groundbreaking solutions for safer and more efficient road networks.

Located in Brisbane, Australia, Queensland University of Technology (QUT) is renowned for its innovative and practical approach to education. Offering diverse programs in business, science, engineering, health, and creative industries, QUT boasts state-of-the-art facilities and a dynamic campus community, providing students with valuable hands-on experience and real-world connections.

Brief Description

  • University or Organization: Queensland University of Technology (QUT) – A leading institution known for its innovative approach to education.
  • Department: Not specified.
  • Course Level: Research and PhD – Designed for advanced academic study.
  • Award: A stipend scholarship offering $32,192 per annum, available for a maximum of 3.5 years.
  • Access Mode: Online – Applications can be submitted online.
  • Number of Awards: Not specified.
  • Nationality: Open to both Australian/New Zealand and international students.
  • The award can be taken in: Australia – Scholarships are available for study within Australia.


  • Eligible Countries: Open to all nationalities
  • Acceptable Course or Subjects: Scholarship applicable to any subject offered by QUT
  • Admissible Criteria:
  • Candidates must meet the entry requirements for a QUT Doctor of Philosophy program, including any English language proficiency requirements.
  • Must enroll as a full-time, internal student and commence studies by 31 July 2025.
  • Hold a master’s degree in data science, computer science, operational research, transport engineering, or related disciplines.
  • Proficiency in programming languages such as Python, R, or similar, for data manipulation, analysis, and modeling.
  • Strong analytical and problem-solving skills, with the ability to derive meaningful insights from complex datasets.
  • Excellent communication skills, both written and verbal, for presenting research findings and collaborating with interdisciplinary teams.
  • Ability to work independently and as part of a team, managing multiple tasks and priorities effectively.
  • Demonstrated publication record (or potential) in peer-reviewed conferences or journals is advantageous.

How to Apply

Interested candidates should apply for this scholarship concurrently with their application for admission to a QUT Doctor of Philosophy program. The application process involves: Apply for this scholarship at the same time you apply for admission to a QUT Doctor of Philosophy.

  1. Emailing Professor Ashish Bhaskar detailing academic and research background, motivation for research in the field, and interest in the scholarship. Include CV and contact details of two academic referees.
  2. If supported to apply, submit an Expression of Interest (EOI) following the guidelines provided on the QUT website.
  3. In the EOI, nominate Professor Ashish Bhaskar as the proposed principal supervisor and include the link to the scholarship website in the financial details section.


You’ll receive:

  • a stipend scholarship of $32,192 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) if approved for your candidature. This is the full-time, tax-exempt rate which will index annually
  • a tuition fee offset/sponsorship, covering the cost of your tuition fees for the first 4 full-time equivalent years of your doctoral studies
  • the opportunity to work with a team of leading researchers, to undertake your own innovative research in and across the field.

Application Deadline

Applications close on 15 July 2024.

Written by Team Educads

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