Launch week offerEnds in00h00m00s

Publisher
source

National University of Singapore

Closing soon

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 flag

Country

Singapore

University

National University of Singapore

Apply for this position

Free with an ApplyKite account: the application link, the deadline in your tracker and a check of your fit.

Keywords

Computer Science
Epidemiology
Nursing
Psychology
Biostatistics
Biology
Quantitative Analysis
Health Economics
Digital Health
Medical Science
Salud Pública
Clinical Examination
Cardiac Rehabilitation
Economics
Statistics
Patient-reported Outcome

Suggested positions

Publisher
source

Karolinska Institutet

Country flag

Sweden

Postdoctoral researcher in liver disease epidemiology and biostatistics at Karolinska Institutet (Department of Medicine, Huddinge; location: Flemingsberg/Huddinge, Sweden). The Hagström research group is seeking one postdoc to lead a project on the bidirectional cardio-hepatic relationship , with a focus on liver disease epidemiology , biostatistics , and metabolic dysfunction-associated steatotic liver disease (MASLD) . The work uses unique clinical cohort data and nationwide registers to impr...

Epidemiology
Biostatistics
Biology
+3 more

3 weeks ago

Publisher
source

University of Oxford

Country flag

United Kingdom

University of Oxford (Nuffield Department of Population Health) is advertising a funded PhD/DPhil project on estimating the family and wider societal health-economic impacts of genomic therapeutics . The project examines how genome-targeted therapies such as antisense oligonucleotides (ASOs) and CRISPR-based therapies can be evaluated beyond narrow cost-effectiveness measures, with a focus on family spillover effects affecting caregivers, siblings, and other relatives. The research combines revi...

Psychology
Biology
Gene Therapy
+6 more

1 month ago

Publisher
source

Ylva Trolle Lagerros

Karolinska Institutet

Country flag

Sweden

This postdoctoral position is based at Karolinska Institutet and sits within a collaborative research environment focused on health, lifestyle, obesity, physical activity, and digital solutions . The successful candidate will join a dedicated team working on a major research project with both national and international collaboration, contributing to a study that explores how AI-based support can be used to promote healthy lifestyle habits. The project involves coordinating and evaluating an inte...

Computer Science
Epidemiology
Psychology
+9 more

1 week ago

Publisher
source

Ludwig-Maximilians-Universität München

Country flag

Germany

The PhD programme in Medical Research: Epidemiology and Public Health at Ludwig-Maximilians-Universität München is an international and interdisciplinary doctoral programme embedded in the Pettenkofer School of Public Health and the Munich Medical Research School . Doctoral candidates can develop their research within a broad range of topics spanning clinical, molecular and genetic epidemiology , clinical trials and translational medicine , genomic and molecular medicine , digital health , clini...

Epidemiology
Environmental Science
Biology
+9 more

6 days ago

Publisher
source

Rutgers University

Country flag

United States

Rutgers University is advertising a Post Doctoral Associate position in the Institute for Nicotine and Tobacco Studies (Rutgers Biomedical and Health Sciences), located in New Brunswick, New Jersey, United States . The postdoctoral researcher will work under Dr. Jamie Tam on simulation modeling research related to tobacco and lung cancer prevention and control . The role is embedded in a multidisciplinary environment that includes modelers, epidemiologists, and economists, with opportunities to ...

Computer Science
Epidemiology
Biology
+9 more

3 weeks ago

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.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.

Professors

Professor

University Name
Country flag

Singapore

Research Interests

Statistics

Epidemiology

Economics

Patient-reported Outcome

Clinical Examination