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Shikha Anirban

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3 days ago

Research Training Program (RTP) Scholarship

PhD Scholarship in Artificial Intelligence, Machine Learning, and Graph Databases at Murdoch University Murdoch University in Australia

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 30, 2026

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Country

Australia

University

Murdoch University

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Keywords

Computer Science
Data Science
Machine Learning
Information Technology
Mathematics
Artificial Intelligence
Statistics
Large Language Models

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About this position

Murdoch University is inviting expressions of interest for a PhD Scholarship under the 2027 Research Training Program (RTP) round.

The opportunity is aimed at motivated, high-achieving candidates interested in research in Artificial Intelligence, Machine Learning, Large Language Models, and Graph Databases. The post highlights a strong fit for applicants with a solid academic background and prior research experience.

Eligibility highlights: applicants should have a First Class Honours degree, H2A (or equivalent), or a Master’s degree with a substantial thesis/research component (1 year or more). A valid English proficiency test result is required, and the post also asks for research experience plus one or more publications in high-quality journals/venues.

Deadline: 30 September 2026 for international candidates and 31 October 2026 for domestic candidates.

How to apply: interested candidates should email Shikha Anirban at [email protected] with a CV, academic transcripts, and a brief summary of research interests.

Institution: Murdoch University, Australia.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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