Postdoctoral Research Fellow in Graph Data Mining

2 weeks ago


North Ryde, Australia Macquarie University Full time

PRIMARY DETAIL
- Work with leading academics
- Build your academic networks
- Competitive salary and benefits

THE ROLE

About Us

You will be joining a growing

School of Computing

with a fast-rising reputation (top 130, in 2024 QS World University Rankings). The School is currently the home of 42 academic staff and more than 100 research students, and an ever-growing cohort of undergraduates and postgraduate coursework students. The School offers a broad range of cutting edge undergraduate and postgraduate courses and is home to a dedicated computing precinct with state of the art computer and specialised teaching labs.

For more information about the Faculty, please visit


How to Apply

Essential Criteria- A PhD in Computing or a closely related discipline;- Demonstrated publications in top-tier peer reviewed conferences and/or journals, such as KDD, ICDM, WSDM, SDM, IJCAI, AAAI, CIKM, NeurIPS, TKDE, TCYB, TNNLS, TPAMI, TKDD, etc;- Proven ability to interact effectively with students, staff and the community;- Solid experience of graph data mining, such as graph neural networks, graph embedding, graph classification, etc; or- Extensive experience of graph-level learning, such as graph learning on the entire graph, distinguished from the novel-level and edge-level learning approaches.

Salary Package: Level A Step 6 (PhD) from $97,621 - $104,622 p.a., plus 17% employer’s superannuation and annual leave loading.

Appointment Type: Full-time, fixed term for 1.5 years.

Enquiries: Dr. Jia Wu, School of Computing at

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Applications Close:
30/09/2023 11:59 PM

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