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Scholarship

University of New England (UNE) – Cogninet Australia PhD Scholarship 2027

Key information

Organization
University of New England
Location
Australia
Opportunity type
scholarship
Deadline
October 26, 2026
Published
September 11, 2026

Deadline in 3 days

Deadline: October 26, 2026

Quick summary

The University of New England (UNE) invites applications for a PhD scholarship in the School of Science and Technology, open to both Domestic and International candidates. This joint funding with Cogninet Australia focuses on developing research-based models for data analytics utilising AI and machine learning, specifically in medical and educational data analytics. Application Deadline Open until filled (applications close once a suitable candidate is appointed). Tell Me About The Scholarship The UNE–Cogninet Australia PhD Scholarship is a fully funded Higher Degree Research (HDR) opportunity in data analytics, AI, and machine learning.

Eligibility: Hold a relevant Bachelor’s degree (Honours or equivalent). Meet UNE’s PhD entry requirements. Demonstrate English proficiency (no IELTS required if other criteria met). Be available for industry partner engagements and internship. Preference given to on‑campus candidates (online may be considered).

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Overview

The University of New England (UNE) invites applications for a PhD scholarship in the School of Science and Technology, open to both Domestic and International candidates. This joint funding with Cogninet Australia focuses on developing research-based models for data analytics utilising AI and machine learning, specifically in medical and educational data analytics.

Application Deadline

Open until filled (applications close once a suitable candidate is appointed).

Tell Me About The Scholarship

The UNE–Cogninet Australia PhD Scholarship is a fully funded Higher Degree Research (HDR) opportunity in data analytics, AI, and machine learning. The project focuses on developing models for medical and educational data analytics, supporting healthcare professionals with decision‑support tools and improving student engagement in higher education.

Which Fields are Eligible

Computer Science

Artificial Intelligence

Machine Learning

Data Analytics

Applicants should have strong Python programming skills and be available for industry collaboration and internship.

Type

PhD Scholarship | Fully Funded | Australia

Who Can Apply

Applicants must

Hold a relevant Bachelor’s degree (Honours or equivalent).

Meet UNE’s PhD entry requirements.

Demonstrate English proficiency (no IELTS required if other criteria met).

Be available for industry partner engagements and internship.

Preference given to on‑campus candidates (online may be considered).

How Are Scholars Selected

Based on academic background, programming skills, and research potential.

Candidates must secure admission into UNE’s doctoral programme before scholarship eligibility.

Which Countries are Eligible

Global – open to domestic and international applicants.

Where Will the Scholarship Be Taken

University of New England, Australia.

How Many Scholars

One PhD candidate sought for this project.

What is the Benefit of the Scholarship

Annual stipend: A$36,862 (2025 rate, tax‑free, paid fortnightly).

Duration: 3.5 years full‑time.

Tuition fees covered.

Single Overseas Health Cover (OSHC) for international candidates.

How Long Will the Scholarship Last

3.5 years full‑time.

Required Documents

One‑page cover letter.

CV.

Academic transcripts.

Proof of English proficiency (if required).

Admission application to UNE doctoral programme.

How to Apply

Apply for admission to UNE’s doctoral programme.

Prepare a single PDF with cover letter + CV.

Email application to Associate Professor Subrata Chakraborty at: [email protected].

Applications remain open until a suitable candidate is appointed.

🌐 Visit the application webpage for details

Eligibility

Hold a relevant Bachelor’s degree (Honours or equivalent). Meet UNE’s PhD entry requirements. Demonstrate English proficiency (no IELTS required if other criteria met). Be available for industry partner engagements and internship. Preference given to on‑campus candidates (online may be considered).

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