Flinders University 2025 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.

• Table of Content
• About Flinders University
• Cancer Epidemiology, Machine Learning & Data Sharing
• Aim and Benefits of Cancer Epidemiology, Machine Learning & Data Sharing
• Requirements for Cancer Epidemiology, Machine Learning & Data Sharing Qualification
• Application Deadline
• How to Apply

Cancer Epidemiology, Machine Learning & Data Sharing

Aim and Benefits of Cancer Epidemiology, Machine Learning & Data Sharing

• 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

Requirements for Cancer Epidemiology, Machine Learning & Data Sharing Qualification

They 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

Application Deadline

How to Apply

Please submit the following by 31 May 2025 to: [email protected]

• Cover letter (1 page) outlining your interest in the project, suitability, and career goals
• Curriculum Vitae (max 5 pages), including academic qualifications, GPA, publications (if any), and referees
• Academic transcript (PDF format)

Subject line: PhD Application – Cancer Data & Machine Learning

Filename format: e.g., CV_YourName, CoverLetter_YourName, Transcript_YourName
For more details, visit Flinders University scholarrship webpage