Roadmap Options for Melanoma Screening in Australia (Melanoma - ROSA)

Project opportunity

This Earmarked Scholarship project is aligned with a recently awarded Category 1 research grant. It offers you the opportunity to work with leading researchers and contribute to large projects of national significance.

We have 3 full-time PhD opportunities available focusing on melanoma early detection in the following areas: teledermatology, artificial intelligence, dermatology & imaging informatics, standards development, statistics and public health.  A large focus of our research is implementing innovative digital technologies, such as 3D total-body photography into the skin screening setting. The PhD student will liaise with the project team to develop their own aims and project plan for a sub-project from the Synergy grant.

Dermatology informatics and teledermatology topics could include:

  • Development to expedite 3D total-body photography reporting.
  • Development and evaluation of patient access to own 3D total-body photography avatar.
  • Privacy in dermatology imaging, including review of best practice, guidelines, policy to protect patient privacy.
  • DICOM image capture
  • Develop hanging protocols for 3D total-body photography
  • Apply artificial intelligence solutions to support clinical decision making and investigate how AI tools are best integrated into the clinical workflow

Public Health topics could include:

  • Assess who needs skin screening by improving the precision of melanoma risk-assessment tools
  • Establishing the optimal screening intervals based on risk groups
  • Integrate consumer-led mobile digital technologies into the clinical pathway focusing on acceptance and trust of new technologies in consumers and health practitioners

Scholarship value

As a scholarship recipient, you'll receive: 

  • living stipend of $32,192 per annum tax free (2023 rate), indexed annually
  • tuition fees covered
  • single Overseas Student Health Cover (OSHC)

A top-up of $5,000 per annum is also available.


Professor Monika Janda

Faculty of Medicine


Preferred educational background

Your application will be assessed on a competitive basis.

We take into account your

  • previous academic record
  • publication record
  • honours and awards
  • employment history.

A working knowledge of medical imaging, medical imaging informatics, health informatics, and the Australian health system would be of benefit to someone working on this project.

Latest commencement date

If you are the successful candidate, you must commence by Research Quarter 1, 2025. You should apply at least 3 months prior to the research quarter commencement date.

If you are an international applicant, you may need to apply much earlier for visa requirements.

How to apply

You apply for this project as part of your PhD program application.

View application process