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

About Flinders University

Flinders University is a public university in Adelaide, South Australia. Founded in 1966, it was named in honour of navigator Matthew Flinders, who explored and surveyed the South Australian coastline in the early 19th century. Flinders is a verdant university[citation needed] and a member of the Innovative Research Universities (IRU) Group and ranks in the 10-16 bracket in Australia and 36th in the world of those established less than 50 years. Academically, the university pioneered a cross-disciplinary approach to education, and its faculties of medicine and the humanities are ranked amon... continue reading

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