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University of New England AI and Machine Learning Scholarship 2026 in Australia | Fully Funded

Australia

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Application opens on the official site (www.une.edu.au). Scholarship Union does not collect applications.

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Scholarship Summary
Country
 Australia
Study Level
 PhD
Benefits
 Fully Funded
Deadline
 Varies

University of New England AI and Machine Learning Scholarship 2026 is now open for applications, offering a fully funded PhD opportunity in Australia. This prestigious program focuses on advanced machine learning modeling to analyze complex medical and educational data. Jointly supported by Cogninet Australia and UNE’s School of Science and Technology, the scholarship welcomes both domestic and international candidates with strong computer science backgrounds and a passion for artificial intelligence (AI), data analytics, and applied machine learning research.

Located in Armidale, New South Wales, the University of New England (UNE) is one of Australia’s most respected public universities, celebrated for its excellence in research, innovation, and flexible learning. Established in 1938 as the first Australian university outside a metropolitan area, UNE has built a strong reputation across diverse fields such as science, technology, agriculture, education, and health—making it an ideal destination for aspiring AI and machine learning researchers.

Benefits of University of New England AI and Machine Learning Scholarship 2026

  • 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).

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Eligibility Criteria for the University of New England AI and Machine Learning Scholarship 2026

  • 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.

How to Apply for the University of New England AI and Machine Learning Scholarship 2026

  • Visit the official website: University of New England Scholarship Portal
  • Review the eligibility requirements carefully before applying.
  • Prepare your academic transcripts, research proposal, and CV.
  • Complete the online application form through UNE’s Higher Degree Research (HDR) portal.
  • Upload all required supporting documents.
  • Submit your application before the official deadline.

Frequently Asked Questions (FAQs)

This University of New England AI and Machine Learning Scholarship 2026 is open to domestic and international applicants with computer science skills keen to use AI/ML in health or education data. It offers tuition, a tax-free stipend of AUD $36,862/yr, full-time study for 3.5 years, and requires strong Python skills and industry engagement.

What is the purpose of the University of New England AI and Machine Learning Scholarship 2026?

The scholarship supports a PhD project focused on creating AI and machine-learning models that analyse medical and educational data—such as imaging, video, and text reports—aimed at improving patient care, diagnosis and educational student engagement.

Who is eligible to apply for University of New England AI and Machine Learning Scholarship 2026?

Applicants may be domestic or international students pursuing or beginning a doctoral degree with full-time enrolment in the School of Science and Technology.

What level of study is required for applicants?

Candidates must be enrolled (or eligible to enrol) in a doctoral (PhD) degree program and must carry out full-time study.

What academic background or skills are expected from applicants?

You should have a background in computer science (or a related field), strong Python programming skills, and be willing to engage with industry partners and undertake an internship as part of the research.

Is tuition covered by the scholarship and what is the stipend amount?

Yes, tuition fees are covered and the scholarship offers an annual tax-free stipend of AUD $36,862 (2025 rate) paid fortnightly. International students also receive Single Overseas Health Cover.

What is the duration of the University of New England AI and Machine Learning Scholarship 2026?

The scholarship is tenable for 3.5 years (full-time) for the doctoral degree.

Does it matter whether I study on-campus or online?

The preference is for study on-campus, though online engagement may be possible depending on the project. Full-time enrolment is required.

When is the application deadline of University of New England AI and Machine Learning Scholarship 2026?

The scholarship application is open until a suitable candidate is appointed—so there is no fixed deadline but early submission is advisable.

What is required to apply?

Before applying for the scholarship, you must first be offered admission into the doctoral degree at the university. Typically you submit an expression of interest (cover letter + CV) as a single PDF to the project supervisor.

Are international students eligible for the scholarship?

Yes. Both domestic (Australian) and international students are eligible, with international candidates having full tuition covered and health insurance included.


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Mahbub Hasan Shamim is an experienced Editor and Content Strategist with over 7 years of experience in the education and scholarship industry. He has a strong background in academic research, scholarship analysis, and student guidance, gained through years of dedicated work in publishing scholarship news and educational resources. Shamim holds a Bachelor’s degree in Business Studies and is a certified Digital Content Specialist. His work includes hundreds of articles published on global funding opportunities, student mobility, and higher education trends. He has also collaborated with educational institutions and non-profit organizations to improve student access to scholarship information. Shamim is passionate about empowering students through accurate, up-to-date scholarship content and enjoys helping readers make informed decisions by curating high-quality opportunities that match their academic and career goals.

Joined May 17, 2025
Published
Updated Nov 5, 2025
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