Australia University of New England PhD Scholarship 2026 in Machine Learning and AI (Fully Funded)
The University of New England (UNE), Australia, is inviting applications for a fully funded PhD scholarship in Machine Learning Modelling to Analyse Medical and Educational Data. This exciting research opportunity is jointly funded by Cogninet Australia and the School of Science and Technology at UNE. The program is open to both domestic and international students with a strong computer science background and a passion for artificial intelligence (AI), data analytics, and applied machine learning research.
The University of New England (UNE) is a leading Australian public university located in Armidale, New South Wales, renowned for its strong focus on research, innovation, and flexible learning. Established in 1938, UNE was the first Australian university outside a capital city and has built a global reputation for excellence in science, technology, agriculture, education, and health. The university offers a vibrant campus experience along with extensive online study options, attracting students from more than 80 countries. With a commitment to regional development, cutting-edge research, and student success, UNE provides a supportive and inclusive environment that prepares graduates to become skilled, ethical, and impactful global citizens.
Degree Level
This scholarship supports candidates pursuing a Doctor of Philosophy (PhD) degree at the University of New England (UNE).
Available Subjects
- Subject Area: Machine Learning, Artificial Intelligence, Data Analytics
- Research Focus: Developing AI and machine learning models for analysing medical data (e.g., imaging, video, and text-based reports) and educational data (for improving teaching, learning, and student engagement).
- The research aims to build decision support tools that assist healthcare professionals with diagnosis, prognosis, and patient monitoring, as well as to enhance data-driven decision-making in higher education.
Benefits
- Annual Stipend: AUD $36,862 (tax-free, 2025 rate)
- Duration: 3.5 years (full-time doctoral study)
- Mode: Full-time; on-campus preferred (UNE Armidale Campus)
Additional Benefits for International Students:
- Full tuition fee coverage
- Single Overseas Health Cover (OSHC)
Eligible Nationalities
This PhD scholarship is open to both Domestic (Australian citizens and permanent residents) and International students from all countries.
Eligibility Criteria
To be eligible for the UNE Machine Learning PhD Scholarship 2025, applicants must meet the following requirements:
Core Requirements
- Be a domestic or international applicant.
- Be a new or continuing PhD student at UNE.
- Enrolled or eligible for enrolment in a Doctoral degree within the School of Science and Technology.
- Must undertake full-time study (on-campus preferred).
Scholarship-Specific Requirements
- Hold a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline.
- Demonstrate strong Python programming skills.
- Show genuine interest in machine learning, AI, and data analytics research.
- Be willing to participate in industry engagement and internship activities with Cogninet Australia.
Application Procedure
Applicants must first be offered admission into a PhD program at UNE before being eligible for this scholarship.
Step-by-Step Application Guide
Prepare your documents:
- One-page cover letter outlining your interest and suitability for the project.
- Updated Curriculum Vitae (CV).
- Combine into a single PDF file.
Submit your Expression of Interest (EOI) by email to:
- Associate Professor Subrata Chakraborty — Subrata.chakraborty@une.edu.au
- Await feedback or invitation for further discussion/interview.
- Once accepted, apply for admission to the PhD program at the University of New England (UNE).
Closing Date: Open until filled
