PhD Top-Up Scholarships
The Centre for Big Data Research in Health (CBDRH) is excited to launch Top-Up Scholarships for high-achieving domestic and international candidates seeking to start a PhD in 2025.
About CBDRH
Established in 2014 at the UNSW Faculty of Medicine and Health, CBDRH is Australia's first research centre dedicated to health research utilising large-scale electronic data across biomedical, clinical, health services, and public health domains. The Centre engages with government, industry, healthcare providers, communities and consumers through codesign and coproduction methods to ensure the effective translation and implementation of research findings into health policy, services, and programmes.
About the Scholarships
Expressions of interest are invited from potential candidates who are seeking to undertake a nominated research project in the Centre. Top-up scholarships of $10,000 per annum will be available for a period of 3 years, with the possibility of a 6-month extension depending on progress.
It is expected that candidates will apply for a full scholarship in the September UNSW Scholarships round, to commence study in 2025. More Information about scholarships can be found at Postgraduate Research Scholarships.
All potential candidates must meet the eligibility requirements for entry to a research higher degree program at UNSW, including the English language, qualifications and residency requirements.
See below for full details on the research projects eligible for a top-up scholarship. Top-up scholarships are not currently available for other projects. Any questions about the research projects should be emailed to: cbdrh@unsw.edu.au
How to apply
If you are interested in submitting an EOI for one of the eligible research projects, please complete the online form below by COB 2 August 2024.
Once your EOI is received it will be assessed by the supervisory team and you will be contacted to discuss the project and your EOI.
Research projects eligible for a top-up scholarship
- Development of a digital twin of the female metabolic system to enhance women’s health across menopausal stages
- Using population-wide Australian data to understand the role of infectious diseases in the aetiology of dementia
- Under the bonnet of digital health interventions: Validating quality and safety with objective data tools
- Real-world evidence on devices and therapies to treat heart failure patients in Australia
- Using linked data to advance our understanding of benefits and costs of medical technologies for cardiovascular diseases in Australia
- Understanding the impact of informal caregiving on the health trajectory of carers in Australia
- AI-Driven Automated Methods for Summarization of Electronic Medical Records
- Automated Clinical Coding Using AI Techniques