We invite applications for a Master by Research scholarship to develop a breath‑based diagnostic platform using pattern recognition and machine learning for non‑invasive disease monitoring (e.g., diabetes, kidney disease, asthma). The project focuses on biomedical instrumentation and computational classification of exhaled volatile organic compounds.
Applicants with backgrounds in biomedical engineering, electronics, or data science are encouraged to apply. The scholarship covers tuition fees and provides a living stipend for up to two years.
$35,886
25 May 2026
31 December 2027
1
Open to domestic and international applicants with a Bachelor's degree (Honours Class I or IIA preferred) or equivalent in Biomedical Engineering, Electrical Engineering, Computer Science, or a related discipline.
Candidates must meet university English language proficiency requirements and be available for full-time enrolment. Prior research experience or demonstrated interest in gas sensing, machine learning, or medical devices is highly desirable.
Please apply through the How to Apply page.

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