The Kirby Institute at the University of New South Wales (UNSW Sydney) is offering a PhD opportunity within its Infection Analytics Program. This program is dedicated to eliminating infectious diseases globally through advanced research in infection and immunity. The PhD position focuses on applying mathematical modelling, data analysis, and evidence synthesis to address major challenges in infectious diseases, immunity, and health. Research projects span a variety of pathogens, including SARS-CoV-2, HPV, RSV, influenza, and malaria, and are highly data-driven, utilizing experimental, clinical, and literature-derived data.

Students will receive interdisciplinary training, with a strong emphasis on quantitative methods to better understand infection and immunity. The program is led by a team of renowned supervisors, including Professor Miles Davenport, Professor Deborah Cromer, Dr. Eva Stadler, and Dr. David Khoury, all affiliated with UNSW Sydney. The research environment is collaborative and supportive, offering opportunities to contribute to impactful scientific discovery in the field of infectious diseases.

Applicants should have a strong background in mathematics, statistics, or a related quantitative discipline, and a keen interest in applying these skills to biological and medical problems. Experience in data analysis, mathematical modelling, or evidence synthesis is highly desirable. While specific funding details are not provided, prospective candidates are encouraged to contact Dr. Eva Stadler for further information regarding financial support and to discuss their research interests.

The application deadline for candidates wishing to commence in Term 2 (from 1 June 2026) is 1 April 2026. Interested applicants should review the program details on the Kirby Institute website and reach out to Dr. Eva Stadler at [email protected] to discuss the opportunity and their suitability. This PhD position is ideal for students passionate about quantitative research in infection analytics and eager to make a global impact on health.