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University of New South Wales
Top university
2 months ago
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UNSW HDR Scholarship
PhD in Impact of Maternal RSV Vaccination on Child Respiratory Health University of New South Wales in Australia
Degree Level
PhD
Field of study
Epidemiology
Funding
Scholarship of $40,000 per annum for 3.5 to 4 years.
Deadline
Sep 15, 2026
Country
Australia
University
University of New South Wales
Ongoing programNSW RNA Research and Training Network HDR Scholarship
by NSW RNA Research and Training Network
The NSW RNA Research and Training Network HDR Scholarship supports PhD research projects in RNA-related fields in New South Wales, Australia. Opportunities are aimed at high-calibre research students, with some projects specifically open to domestic applicants.
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About this position
PhD opportunity at the University of New South Wales on Impact of Maternal RSV Vaccination on Child Respiratory Health.
This project focuses on respiratory syncytial virus (RSV), maternal vaccination, infant and child respiratory outcomes, and vaccine effectiveness in diverse real-world populations. The PhD candidate will analyse large, routinely collected linked health datasets and apply advanced epidemiological and statistical methods to study short- and long-term respiratory outcomes, confounding, bias, missing data, and differences across population groups.
The opportunity is based in the School of Clinical Medicine at UNSW Canberra, Australia. It is suited to a highly motivated candidate with strong quantitative skills and an interest in epidemiology, biostatistics, public health, data science, medicine, or health sciences.
Funding is listed as a scholarship of $40,000 per annum for 3.5 to 4 years. The opportunity is open to domestic and international PhD applicants.
To apply, email Dr Fekede Kumsa with a CV and academic transcripts by 15 September 2026.
Funding details
Scholarship of $40,000 per annum for 3.5 to 4 years.
What's required
A relevant Master's degree, Honours degree, or equivalent qualification in epidemiology, biostatistics, public health, data science, medicine, health sciences, or a related discipline. The ideal candidate should be highly motivated with strong advanced quantitative skills and an interest in infant and child health research.
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Prepare your application
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Make your next move.
Prepare your application
Review drafts and confirm requirements with the provider.