PhD in medical AI · Adelaide, Australia
A PhD in medical AI, in Adelaide
Do a PhD in machine learning for medicine at the Australian Institute for Machine Learning, Adelaide University. The lab is co-led by a cardiologist and a computer vision researcher, our PhD students publish as first authors at NeurIPS, ICML, CVPR and ICCV, and our systems run in South Australia's public hospitals.
What you could work on
- Multimodal AI and vision-language models for medical imaging
- Explainable AI that clinicians can interrogate
- Generalisation across hospitals and scanners
- Learning from small, noisy clinical data, including generative flow networks
- Causality, hallucination and trustworthy AI
- Deployment in real health services: RAPIDx AI, AUScribe, AutoMedic
Scholarships
PhD places are funded with a full stipend and tuition through Adelaide University's graduate research scholarship rounds. The rounds close well before intake, so contact us early.
Clinicians are welcome without a coding background: several of our projects started with a clinical question and no model.
Where lab alumni are now
Mayo Clinic
Dr Townim Faisal Chowdhury, postdoctoral fellow, after a PhD in the lab (2023–2025).
Dr Vu Minh Hieu Phan, after a postdoc in the lab.
La Trobe University
Dr Yang Zhao, now an academic at La Trobe.
Studying in Adelaide as an international student
- After graduating, the Temporary Graduate visa (subclass 485) lets you stay and work in Australia.
- Cost of living in Adelaide from StudyAdelaide.
- Why Adelaide: one statewide health service, a major health precinct next to AIML, and one of the world's most liveable cities.
How to apply
Email johan.verjans[at]adelaide.edu.au with:
- Your CV and academic transcript.
- One paragraph on why this group, specifically.
- One paper of ours you have read, and what you would do differently.