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PhD in AI in Healthcare and Cardiac Rehabilitation at National University of Singapore National University of Singapore in Singapore
Degree Level
PhD
Field of study
Computer Science
Funding
The candidate may apply for an NUS Research Scholarship, subject to eligibility and selection processes. The post does not specify stipend amount, tuition coverage, or other funding details.
Deadline
Nov 15, 2026
Country
Singapore
University
National University of Singapore
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About this position
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.
Funding details
The candidate may apply for an NUS Research Scholarship, subject to eligibility and selection processes. The post does not specify stipend amount, tuition coverage, or other funding details.
What's required
Applicants should have a good honours degree, preferably at least 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 are required, along with experience using Stata, R, SAS, SPSS, or similar platforms. Interest in cardiac rehabilitation, AI in healthcare, digital health, health economics, or implementation science is preferred. Good written and verbal communication skills and the ability to work independently and collaboratively are expected. Experience with clinical trials, economic evaluation, mixed-methods research, or digital health research would be an advantage. The post is specifically seeking a Singaporean candidate.
How to apply
Prepare and submit a PhD application by 15 November 2026 for the August 2027 intake. Contact the announcer for an informal discussion if interested. Share the opportunity with suitable Singaporean candidates.
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Review drafts and confirm requirements with the university.
Professors
Professor
Singapore
Research Interests
Statistics
Epidemiology
Economics
Patient-reported Outcome
Clinical Examination
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.