Overview
This scholarship supports candidates pursuing a Doctor of Philosophy (PhD) degree at the University of New England (UNE).
Description
This scholarship supports candidates pursuing a Doctor of Philosophy (PhD) degree at the University of New England (UNE).
Eligibility
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.
Additional Information
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
Frequently Asked Questions Faqs
What is the value of the UNE PhD Scholarship 2026? The scholarship provides an annual stipend of AUD $36,862 (tax-free), along with tuition fee coverage and Single Overseas Health Cover for international students.
Who can apply for this scholarship? Both domestic and international students with a background in computer science or related fields are eligible to apply.
What are the key skills required? Applicants should have strong Python programming skills and experience or interest in AI, machine learning, and data analytics.
Is the program available online? While on-campus study is preferred, there may be options for online engagement, depending on the project and supervisor’s approval.
When is the deadline to apply? Applications are open until filled, so early submission is highly encouraged.
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Card
Funding
Fully Funded
Organization
University of New England
Degree
PhD
Subjects
Computer Science, Data Analytics, Artificial Intelligence, Machine Learning, Medical Informatics
Nationality
International Students, Domestic Students
Country
Australia
Source
Information provided by scholarships_ads.