Atthe School of Information Technology (SIT) at Murdoch University, research is a core focus of our work. Our staff are actively engaged in a wide range of IT research areas, collaborating with industry, government, and community partners both within Australia and internationally.

 We are seeking a highly motivated PhD student to work on an exciting project at the intersection of causal learning, inference, and deep learning, leveraging Graph Neural Networks (GNNs) and Large Language Models (LLMs). The successful candidate will explore how GNNs can model causal structures and how LLMs can enhance causal reasoning through knowledge integration. The project offers the opportunity to contribute to cutting-edge AI research, publish in top-tier conferences, and collaborate with leading experts in the field. Applicants should have a strong background in machine learning, graph-based methods, and an interest in causal learning. Scholarships are awarded based on academic excellence, research experience, and potential for future contributions to the field.