Fully Funded PhD Scholarships in Leveraging Big Data & AI/ML for Smart Transport Solutions in Australia 2024-25

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.

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.

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.