
Fully Funded PhD in Addiction Treatment Innovation
1 week ago
Unlock the Future of Addiction Recovery
We are excited to announce a groundbreaking opportunity for a PhD candidate to join a fully funded research program that is revolutionizing addiction treatment in Australia.
This innovative project aims to co-design and deploy a next-generation Cognitive Bias Modification (CBM) platform and smartphone app, developed in collaboration with consumers and clinicians from across Australia.
The project will harness cutting-edge AI technologies to personalize CBM training, enhance patient outcomes, and unlock deeper insights into treatment effectiveness and user experience.
As a PhD candidate, you will work within a dynamic, interdisciplinary team to develop and implement a clinician-friendly infrastructure for delivering CBM during inpatient care, and a seamless app-based experience for continued training post-discharge.
Key Highlights:
- AI-powered personalization of cognitive training
- Human-centered design of digital health tools
- Real-world impact on addiction recovery
- Collaborative research environment across clinical and tech domains
This applied PhD is hosted by Monash University's Eastern Health Clinical School, in partnership with a national leader in addiction treatment and research.
Supervision will be provided by leading experts in addiction science, implementation science, and human-centered design.
Eligibility: Open to Australian and New Zealand citizens or permanent residents.
Funding: Generously supported by the Ramsay Health Research Foundation and the CSIRO Next Generation AI Graduate Program.
This is more than a scholarship; it's a launchpad for shaping the future of addiction care.
What's on offer:
- $43,333 AUD/year tax-free stipend (for 3.5 years, indexed annually)
- $5,000 AUD international travel allowance
- $840 AUD thesis allowance
- $5,000 AUD cost-of-living allowance ($2,000 at enrolment, $3,000 at confirmation)
- 6-month industry placement (or equivalent)
- Expert supervision from leaders in addiction science, AI, and human-computer interaction
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