
Research Assistant
7 days ago
About The Team
Your New Role
As a Research Officer, you will support a research project, “Exploring Causal Learning through Graph Neural Networks (GNN) and Large Language Models (LLM)”, funded by
School of Information Technology Seed grants for Early Career Research (ECR) scheme.
In this role, you will collaborate with the project team to support literature research, conduct experiments, manage data, undertake data analysis, draft research papers and other documentation and tasks associated with the project “Exploring Causal Learning through Graph Neural Networks (GNN) and Large Language Models (LLM)”.
Your Key responsibilities will include
- Conduct literature reviews, identify research gaps, and assist in hypothesis development and experimental design
- Source and prepare datasets, develop and test GNN and LLM models, and analyse results using Python-based tools
- Supporting academic writing, prepare technical reports and presentations, and maintain organised records of project progress
Please refer to the
Position Description
for further details.
What We Offer You
This casual role attracts a competitive casual rate of $57.13 p/hr - $61.73 p/hr inclusive of 25% casual loading plus 12% employer superannuation contributions.
You’ll join a dynamic and talented team where diversity and innovation thrive. Our Silver-tier status in the Australian Workplace Equality Index (AWEI), awarded in 2025, reflects our commitment to LGBTIQA+ inclusion, equity, and creating a safe, welcoming environment for all. We strive to be the university of choice for First Nations peoples, honouring Indigenous knowledge. Sustainability is central to our community and guided by clear, confident leadership, we are working toward an ambitious future with goals of net zero emissions and zero waste by 2030.
As well as the flexibility to maintain a work life balance, our staff enjoy a vibrant, natural campus with world-class facilities, along with a variety of benefits, including:
- Periodic wage increases between 1 January 2026 to 1 July 2026 totalling an 4% increase
- Employee Assistance Program
- On-campus services and facilities, such as a Childcare Centre, Gym, Vet Hospital, and Chiropractic Clinic
For further information, check out our
benefits and services page
Join us
- A cover letter including a statement addressing the selection criteria (with reference to the Position Description)
- Your most recent resume (CV)
What you’ll bring to the role:
- Currently enrolled in or recently completed a Masters or higher degree in Computer Science, Data Science, Artificial Intelligence, or a related discipline.
- Demonstrated experience in Python programming, including use of libraries such as PyTorch, TensorFlow, and/or HuggingFace Transformers.
- Solid understanding of core machine learning principles.
- Basic understanding of graph neural network concepts.
Please note visa sponsorship is not available for this position. Applicants are expected to have current and valid work rights in Australia
Contact Us
For enquiries about the opportunity on offer please reach out to Shikha Anirban, Lecturer in Information Technology,
and quote JR104213 as the reference.
Applications Close on 05/08/2025 (11:59pm AWST)
The University reserves the right to withdraw this advertisement at any time.
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