The Fully Funded PhD Scholarships in Leveraging Big Data & AI/ML for Smart Transport Solutions in Australia is open to all nationals. It 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.

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.

Benefits

The benefits of the Fully Funded PhD Scholarships in Leveraging Big Data & AI/ML for Smart Transport Solutions in Australia are:

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.

Eligibility

The eligibility criteria for the Fully Funded PhD Scholarships in Leveraging Big Data & AI/ML for Smart Transport Solutions in Australia are stated below:

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.