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Scholarship

Generative Graph Modelling for Anomaly Detection

Macquarie University

Australia

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ScholarshipCloses in 50 days

Macquarie University

Application deadlineOct 31, 2026

Opportunity details

The important facts at a glance

Study levelDoctoral / PhD
Funding coverageFully funded
Award value or coverage detailsEach scholarship provides a tuition-fee offset and an indexed living allowance of AUD 40,900 per year for three years.

Who can apply

Review the official criteria before applying

International candidates, including Ugandan citizens, are explicitly eligible. Applicants must qualify for direct-entry PhD admission and should have strong foundations in graph-based mining and machine learning, solid mathematical training and hands-on research experience.

About this opportunity

Program overview and application information

Macquarie University is offering two international PhD scholarships on generative graph modelling for anomaly detection through an Australian Research Council-funded project. The research targets advanced methods for detecting rare and evolving anomalies in complex graph-structured data.

Benefits
Each scholarship provides a tuition-fee offset and an indexed living allowance of AUD 40,900 per year for three years.

Requirements
The initial expression of interest must include a detailed CV with full educational history and publication list, official Master\'s academic transcript, Master\'s thesis report and evaluation result or grade and official English-language test results. Candidates must subsequently meet Macquarie University\'s formal PhD admission requirements.

How to apply
First submit the required expression of interest to the project supervisor using the contact details on the official scholarship page. Candidates supported to proceed must then complete Macquarie University\'s formal PhD and scholarship application with all required documents before 2026-10-31.
Ready to continue?Always confirm final requirements and dates on the official website.
Visit official application page
Source checked Aug 29, 2026