University of New England PhD Scholarship 2026 AI and Machine Learning Australia

AustraliaUniversity of New England PhD
AustraliaScholarshipFully FundedRolling deadlinephd
3 min readOpportunity Station

Program details

Key facts at a glance

Host country
Australia
Region
Oceania
Institution
University of New England PhD
Study level
PhD
Funding
Fully Funded

Program overview

Full description, requirements, and what to expect

This PhD program in Australia offers fully funded. The application deadline is Open until the position is filled.

KEY DETAILS - Location: Australia - Program level: PhD - Funding: Fully Funded - Deadline: Open until the position is filled

ELIGIBILITY - 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).

Official reference

Requirements & preparation

Review eligibility, benefits, and documents before you apply

Eligibility criteria

7 requirements to review

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 & funding

5 perks included · Fully Funded

  • 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).

Important dates

Deadlines and listing updates

  • Application deadlineRolling — applications accepted on an ongoing basis
  • Published on Opportunity StationNov 4, 2025
  • Last updatedJul 8, 2026

Participating location

Where this opportunity takes place

Australia · Oceania

scholarshipaufully-funded
Next step

Ready to apply?

Use the official application website to submit your application directly to the program organizer. The link opens in a new tab so you can keep this guide open.

https://glorno.com/index.php/2025/11/05/university-of-new-england-phd-scholarship-2026-ai-and-machine-learning-australia-fully-funded/

Apply Here