Applications are being accepted for a fully funded PhD scholarship in machine learning modeling to analyze medical and educational data from the University of New England (UNE) in Australia. Cogninet Australia and the School of Science and Technology at UNE are collaborating to support this outstanding research opportunity. Candidates from both domestic and foreign countries who have a solid foundation in computer science and a keen interest in data analytics, applied machine learning research, and artificial intelligence (AI) are welcome to apply.
The University of New England, a renowned public university known for its excellence in research, innovation, and flexible learning, is situated in Armidale, New South Wales. UNE was the first Australian university to be built outside of a metropolitan city, having been established in 1938. It has gained a reputation for academic distinction in fields including science, technology, agriculture, education, and health over the years.
UNE draws students from more than 80 nations across the world with its dynamic on-campus experience and extensive online learning choices. With its strong emphasis on student success, innovative research, and regional development, the institution creates a welcoming, inclusive, and intellectually exciting atmosphere that equips graduates to become knowledgeable, moral, and globally involved professionals.
Host Country: Australia
University: University of New England
Opportunity Type: PhD
Subject: Machine Learning, Artificial Intelligence, Data Analytics, Computer Science
Eligibility Country: International Students, Domestic Students
Financial Coverage: Fully Funded
Eligibility Criteria:
- Eligibility: Both domestic and foreign applications are welcome.
- Enrollment Status: Must be a University of New England (UNE) PhD student, either new or ongoing.
- Program Requirement: Must be enrolled in or eligible to enroll in the School of Science and Technology’s doctoral program.
- Study Mode: Full-time study is necessary; on-campus study is highly recommended.
- Academic Requirement: Must possess a bachelor’s or master’s degree in data science, computer science, artificial intelligence, or a closely related field.
- Technical Skills: Proven ability to program in Python is a must.
- Research Interest: Must genuinely be passionate about studying data analytics, artificial intelligence, and machine learning.
- Industry Collaboration: As part of the research program, participants must be open to participating in industry-based activities and internships with Cogninet Australia.
Benefits:
- Stipend each year: AUD $36,862 (tax-free, 2025 rate).
- Time frame: three and a half years of full-time PhD education.
- Study Mode: Full-time enrollment, with an emphasis on on-campus learning at UNE’s Armidale Campus.
- Tuition Support: For the length of the program, all tuition fees are waived.
- Health Coverage: For overseas students, this includes Single Overseas Student Health Coverage (OSHC).
Deadline: Open until the position is filled.
