2026 University of New England Machine Learning Postgraduate Scholarship in Australia

Location: Australia

Program: Postgraduate (PhD Program)

Eligibility: Domestic and International Students

Duration: 3.5 years

Deadline: Not Specified

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The University of New England (UNE) Machine Learning PhD Scholarship is a fully funded doctoral research scholarship jointly funded by Cogninet Australia and the School of Science and Technology at UNE. This exciting research opportunity focuses on developing AI and machine learning models for analysing medical data (including imaging, video, and text-based reports) and educational data to improve teaching, learning, and student engagement.

Established in 1938, the University of New England was the first Australian university outside a capital city and has built a global reputation for excellence in science, technology, agriculture, education, and health. Located in Armidale, New South Wales, UNE is a leading Australian public university renowned for its strong focus on research, innovation, and flexible learning. The university provides world-class research facilities and a supportive environment for doctoral candidates.

Benefits of the Scholarship

This scholarship provides comprehensive support including:

Tax-free annual stipend of AUD $36,862, paid fortnightly for living expenses
Full tuition fee coverage for the duration of the PhD program
Single Overseas Health Cover (OSHC) for international students
Industry partner engagement through collaboration with Cogninet Australia
Internship opportunity as part of the doctoral journey
Access to world-class research facilities at UNE’s School of Science and Technology
Supervision from distinguished faculty members
Professional development opportunities
Research training and support
Access to university libraries and computing resources
Networking opportunities with industry partners and academic researchers

The scholarship funds can be used to cover:

Living expenses
Accommodation
Food and daily necessities
Books and research materials
Personal expenses
Research-related costs
Other benefits

Also Check:

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Eligibility Criteria

To be eligible for this scholarship, applicants must:

Be domestic (Australian citizens and permanent residents) or international students from all countries
Have a strong background in Computer Science or related fields
Possess strong Python programming skills
Have experience or strong interest in AI, machine learning, and data analytics
Meet UNE’s admission requirements for PhD programs, typically requiring:
- A bachelor’s degree with first-class honours, OR
- A master’s degree with a substantial research component, OR
- Equivalent qualifications deemed appropriate by the university
Be able to commence PhD studies at UNE

Experience with machine learning frameworks and tools
Background in medical data analysis or educational data analytics
Experience with imaging, video, or text data processing
Research experience in artificial intelligence applications

Study Mode:

On-campus study is preferred at UNE’s Armidale campus
Online engagement options may be available depending on the project and supervisor’s approval

Note: Kindly check the official website for full and detailed requirements.

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Selection Criteria

The selection committee conducts a comprehensive evaluation that emphasizes academic excellence and readiness for doctoral research, demonstrated technical proficiency in Python and familiarity with AI and machine learning, proven research potential through prior projects or publications, and a solid academic background in computer science or related disciplines. Candidates are further assessed on the alignment of their research interests with the application of machine learning to medical and educational data, their motivation and commitment to advanced AI research, and their ability to communicate complex ideas effectively—culminating in a holistic appraisal of their overall suitability for the PhD project and UNE’s research environment.