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International PhD Scholarships in Leveraging Big Data and AI/ML for Smart Transport Solutions, Australia

Queensland University of Technology (QUT) is offering International PhD Scholarships in Leveraging Big Data and AI/ML for Smart Transport Solutions. The university is accepting application for the academic session 2024/2025.

This esteemed scholarship program is crafted with a singular purpose to propel forward the frontiers of knowledge and innovation in the field of transportation engineering. By harnessing the potential of big traffic and mobility data alongside cutting-edge AI/ML algorithms, the program aims to foster the development of innovative solutions that revolutionize the efficiency and safety of road networks.

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Queensland University of Technology (QUT) is a leading educational institution located in Brisbane, Australia. Known for its commitment to innovation and practical learning, QUT offers a diverse range of programs across various disciplines, including business, science, engineering, health, and creative industries. With state-of-the-art facilities and a vibrant campus community, QUT provides students with opportunities for hands-on experience and real-world connections.

Application Deadline: Applications close on 15 July 2024.

Brief Description

  • University or Organization: Queensland University of Technology (QUT)
  • Department: NA
  • Course Level: Research and PhD
  • Award: Stipend scholarship of $32,192 per annum for a maximum duration of 3.5 years
  • Access Mode: Online
  • Number of Awards: NA
  • Nationality: Australian or New Zealand and International
  • The award can be taken in: Australia

Eligibility

  • 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.

Benefits

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.

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