The School of Science at Monash University Malaysia is inviting expressions of interest for multiple PhD positions in quantitative health research. These positions focus on developing advanced mathematical models and data-driven analyses for complex biomedical systems, integrating applied mathematics, statistics, data analysis, machine learning, artificial intelligence, and public health. The research aims to provide deep insights into disease mechanisms and optimize healthcare delivery, with a strong emphasis on AI and predictive analytics to address global health challenges.

Successful candidates will work on multidisciplinary projects that transform large-scale health datasets into actionable evidence, using advanced statistical frameworks to model disease transmission, patient outcomes, or healthcare logistics. The collaborative environment at Monash University Malaysia brings together data scientists and public health experts, ensuring research is both technically rigorous and relevant to current health policies. Scholars will have the opportunity to develop innovative computational tools that enhance biomedical interventions across the region and beyond.

Applicants should have a strong background in mathematics, data analysis, statistics, applied mathematics, machine learning, AI, public health, or related fields. A strong academic record with at least one Q1 ranked journal publication (Scopus indexed) as first or corresponding author is required. Candidates must meet Monash University eligibility criteria and pass a successful interview. Fee waiver and monthly allowance are available for eligible candidates. Interested applicants should submit an updated CV and a formal expression of interest to Dr. Md Zobaer Hasan or Dr. Zeeshan Ali. Before applying, confirm your doctoral admission eligibility through the Monash University portal. Only shortlisted candidates will be contacted.