PhD in AI in Healthcare and Cardiac Rehabilitation at National University of Singapore
PhD opportunity in AI in healthcare and cardiac rehabilitation at the National University of Singapore.
The project, AI-CRESTAL, focuses on an AI-driven, home-based cardiac rehabilitation programme for patients recovering from myocardial infarction. The research will examine clinical effectiveness, cost-effectiveness, implementation, and health services impact.
The successful candidate will work with a multidisciplinary team including Professor Wenru Wang, Ling Jie Cheng, collaborators from NUS Computing, and clinicians from local hospitals. The project involves clinical evaluation of AI-enabled cardiac rehabilitation, health economic evaluation (including QALYs and ICERs), patient-reported outcomes, quality of life, cardiac self-efficacy, quantitative analysis of trial and health services data, implementation evaluation of digital health interventions, and translation into clinical practice and policy.
Applicants should have a good honours degree (preferably Second Upper Honours or equivalent) and/or a relevant master's degree in nursing, public health, health economics, epidemiology, biostatistics, or a related discipline. Strong quantitative analytical skills and experience with Stata, R, SAS, SPSS, or similar tools are expected. Interest in cardiac rehabilitation, AI in healthcare, digital health, health economics, or implementation science is desirable. Experience with clinical trials, economic evaluation, mixed-methods research, or digital health research would be an advantage.
The candidate may also apply for an NUS Research Scholarship, subject to eligibility and selection processes. The post specifically seeks a Singaporean candidate. The application deadline is 15 November 2026 for the August 2027 intake.
