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ECU School of Nursing & Midwifery PhD Scholarship - Artificial Intelligence in Cancer Survivorship

Artificial intelligence (AI)-enhanced technologies, including machine learning, conversational agents, and chatbot-based systems, are increasingly being integrated into healthcare to analyse health-related data, identify patterns, and support clinical and self-management decision-making. These technologies show promising potential to improve the delivery of supportive care and enhance patient-centred healthcare experiences. Cancer survivors commonly experience a range of physical and psychological symptoms throughout the cancer journey, which may significantly affect their quality of life and long-term wellbeing. This program, Artificial Intelligence in Cancer Survivorship, aims to develop and pilot an evidence-based AI-enhanced supportive care program designed to support cancer survivors. The program will explore how AI technologies can be used to provide accessible, personalised, and timely support to improve survivorship care and patient outcomes.

Important dates

Opens: 25-05-2026 Closes: 30-06-2026

Applies to

Domestic International Postgraduate Research Coursework

At a glance

Research structure:
Year 1: Conduct relevant systematic/scoping reviews to consolidate the existing evidence base and identify research gaps; develop and refine the PhD research proposal for candidature confirmation; prepare and obtain ethics approvals.
Year 2: Implement the study and undertake participant recruitment and data collection.
Year 3: Complete data analysis, thesis writing, publication preparation (can cover the entire PhD study process), and thesis submission.

Eligibility Guidelines

To be eligible for this scholarship you must:

  • Meet the entry requirements for a PhD in the School of Nursing and Midwifery at ECU.

Selection criteria

  • Have completed a Honours degree first class with research component or a master’s degree by research in disciplines like Nursing, Public Health, Epidemiology, or a closely related health science, with relevant research publications.
  • Demonstrated experience in quantitative research with a strong interest and background in health research. Ideally, the candidate would also have some published work in this area.
  • Excellent written and verbal communication skills in English; Evidence of English language proficiency (only relevant for applicants whose previous studies were not in English).

Terms and conditions

All scholarships are awarded at ECU’s discretion.

How to apply

Interested applicants are required to send expressions of interest to Dr Alison Wang at alison.wang@ecu.edu.au.

Expression of interest should include the following:

  • A brief description of how your skill set will contribute to the project, addressing the selection criteria and describing your interest in the field;
  • An up-to-date CV containing your contact details, your education background, your research outputs (e.g., journal papers, book chapters, conferences);
  • Academic transcripts (bachelor's and master's);
  • Relevant supporting documents of prior research (e.g., a copy of your best publication), and:
  • Evidence of English language proficiency (only relevant for applicants whose previous studies were not in English).

After reviewing your EOIs, you will be advised on how to proceed to the next steps.

Further information

Questions about this scholarship can be directed to alison.wang@ecu.edu.au.

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