Industry Funded Research Project with Good Shepherd

Fully funded PhD scholarship for 3.5 years including tuition fee waiver and living stipend of Approximately $35,836 per annum (will increase annually subject to indexation)

What We Offer:

  • A generous PhD scholarship package including a stipend and tuition fee waiver (subject to eligibility).
  • Supervision by leading researchers in accounting, public financial management and data analytics.
  • Structured engagement with Good Shepherd, including industry placement, co-design workshops, data access, and strategic mentoring.
  • A supportive, interdisciplinary research environment within one of Australia's most engaged and impact-driven universities.

$35,886 per annum

Applications are now open.

31/08/2025

1 (one)

H1 Equivalent Honours or Master by Research

To express your interest, please submit the following documents with your application:

  • A cover letter outlining your motivation and suitability for this PhD project.
  • A detailed CV including academic achievements & research experience.
  • Academic certificates and transcripts 
  • A 2-page research statement demonstrating your understanding of the PhD project and your proposed approach.
  • Names and contact details of two academic referees.

Please Note: All shortlisted applicants will undergo a selection process, including a final interview with RMIT University and Good Shepherd. This ensures alignment with the mission, values, and expectations of our industry partner and maximises the potential for meaningful community impact. You can submit an application via the How to Apply page here: https://www.rmit.edu.au/research/research-degrees/how-to-apply

Candidate ProfileWe are seeking applicants who demonstrate:

  • A strong academic background in accounting, business, data analytics, information systems, economics, or computer science discipline.
  • Evidence of research capability (e.g., 1st Class Honours, Master by Research, M.Phil.).
  • Interest in financial resilience, inclusion, social justice, or communitybased innovation.
  • Familiarity with AI and data-driven technologies in social or financial contexts is desirable but not essential.
  • Excellent written and interpersonal communication skills.
  • A commitment to ethical, inclusive, and participatory research practices.
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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.

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