Cancer Epidemiology, Machine Learning & Data Sharing

Help shape the future of cancer care through better data. This PhD scholarship offers the opportunity to work with a leading research team using clinical trials and real-world data to build machine-learning models, improve the prediction of treatment outcomes, and promote responsible data sharing.

The successful applicant will join a supportive and collaborative team based at Flinders University, working closely with data scientists, oncologists, and international collaborators. The research will inform real-world decisions in oncology and contribute to tools that improve patient care.

We’re looking for candidates excited by research with real impact and keen to develop advanced skills in data analysis and health research.

• Tax-free stipend of $33,990 to $50,000 AUD per annum, depending on experience and eligibility
• Up to 3.5 years of full-time support
• Tuition fee waiver support available for eligible candidates
• The team is well-funded to support research training, conference travel, and necessary computing resources

We welcome applicants who:

• Australian citizens
• Hold an Honours or Master’s degree in epidemiology, biostatistics, computer science, public health, pharmacy, or a related field
• Are passionate about improving the health outcomes of patients with cancer
• Possess excellent written and verbal communication skills
• Can work collaboratively in a multidisciplinary team