PhD Scholarships in Leveraging Big Data & AI/ML for Smart Transport Solutions in Australia 2024-25| Fully Funded: (Deadline 15 July 2024)
Country:Australia
The Fully Funded PhD Scholarships in Leveraging Big Data & AI/ML for Smart Transport Solutions in Australia are open to applicants from all nationalities for the academic session 2024/2025. These scholarships offer international students the chance to pursue PhD studies focusing on the integration of Big Data and AI/ML technologies to create innovative transport solutions.
Designed to advance the field of transportation engineering, this prestigious scholarship program aims to push the boundaries of knowledge and innovation. By utilizing extensive traffic and mobility data along with advanced AI/ML algorithms, the program seeks to develop groundbreaking methods to enhance the efficiency and safety of road networks.
Queensland University of Technology (QUT), located in Brisbane, Australia, is a renowned institution celebrated for its dedication to innovation and practical education. QUT offers a wide array of programs in disciplines such as business, science, engineering, health, and creative industries. With cutting-edge facilities and a dynamic campus community, QUT ensures that students gain hands-on experience and valuable real-world connections.
Benefits
- 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 for Leveraging Big Data & AI/ML for Smart Transport Solutions
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
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