About the positions
University of New England (UNE) Scholarship 2026
The University of New England (UNE), in partnership with Cogninet Australia, is offering a fully funded doctoral research scholarship for outstanding candidates interested in applying
Artificial Intelligence and Machine Learning in healthcare and education.
This prestigious opportunity is open to both domestic and international students who wish to pursue a PhD at UNE’s School of Science and Technology. The project will focus on building research-based models for data analytics in the domains of medical and educational datasets, providing valuable experience in both academic and industry-focused environments.
Scholarship Overview
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Scholarship type: Full tuition fee cover
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Stipend value: $36,862 per year (tax-free, 2025 rate), paid in fortnightly instalments
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Other supports: Professional training and industry collaboration opportunities
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Health insurance: Single Overseas Health Cover (OSHC) for international candidates
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Study Level: PhD (Doctoral degree)
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Study Course: Computer Science, Artificial Intelligence, Machine Learning, Data Analytics (medical and educational focus)
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Citizen type: Domestic and International students
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Number of positions: Limited (one fully funded PhD position)
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Duration: Up to 3 years and 6 months (full-time doctoral research)
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Deadline: Not specified (applications will close once a suitable candidate is appointed)
Eligibility Criteria
To be eligible for this scholarship, applicants are expected to:
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Hold an academic background in Computer Science or a related discipline
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Demonstrate proficiency in Python programming
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Show readiness to collaborate with industry partners and participate in professional training
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Preference will be given to candidates who can study on campus at UNE, though online study options may be considered
Selection Criteria
The selection will be based on academic merit and demonstrated potential for research. Considerations include:
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Strong academic record in relevant fields
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Demonstrated programming and research skills (especially in Python and Machine Learning)
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Quality of cover letter and CV submitted
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Alignment of the applicant’s experience with the project goals (healthcare and educational data analytics)
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Capacity for independent research and collaboration with industry
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Recommendations and professional experience (if applicable)
How to Apply
To apply, interested and qualified candidates should:
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Apply and secure admission into the PhD program at the University of New England.
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Prepare a single PDF file containing:
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Submit the application via email directly to:
Who To Contact
For further inquiries, applicants may contact:
📌 Associate Professor Subrata Chakraborty
Email: schakrab@une.edu.au
School of Science and Technology
University of New England, Australia
Visit the University Website to apply and for further details on this scholarship.
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