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Monash University Malaysia

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Global Excellence and Mobility Scholarship (GEMS)

PhD in Explainable AI for Early-Onset Heart Failure Risk Stratification (GEMS 2026) Monash University Malaysia in Malaysia

Degree Level

PhD

Field of study

Computer Science

Funding

Competitive funded PhD project under the Global Excellence and Mobility Scholarship (GEMS 2026). The post indicates scholarship support but does not specify stipend amount, tuition coverage, or other financial details.

Deadline

Oct 31, 2026

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Country

Malaysia

University

Monash University Malaysia

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Keywords

Computer Science
Data Science
Epidemiology
Information Technology
Cardiology
Biology
Artificial Intelligence
Medical Statistics
Heart Failure
Medical Science
Clinical Informatics
Salud Pública
Risk Stratification
Explainable Ai
Clinical Prediction
Statistics
ML

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About this position

PhD opportunity under the Global Excellence and Mobility Scholarship (GEMS 2026) at Monash University Malaysia in Subang Jaya, Malaysia.

The project is titled Explainable AI for Early-Onset Heart Failure Risk Stratification and sits at the intersection of Artificial Intelligence, Machine Learning, Cardiology, Medical Statistics, Data Science, Epidemiology, Health Informatics, and Statistics. The research will use de-identified longitudinal electronic medical record data from adults with early-onset heart failure or cardiomyopathy receiving care at Institut Jantung Negara.

The project aims to build and validate clinically interpretable risk-prediction models for outcomes such as disease progression, hospital readmission, major adverse cardiovascular events, and mortality. Methods will be benchmarked against standard regression approaches including logistic regression and Cox proportional hazards models, with evaluation of discrimination, calibration, clinical utility, and transportability. A strong emphasis is placed on explainability, missing-data handling, and fairness across sex, age, and Malaysian ethnic groups.

The successful candidate will work with clinicians to identify actionable predictors and co-design a prototype risk-stratification framework suitable for future evaluation in IJN workflows. The post is suitable for students interested in AI for healthcare, predictive modeling, and clinically oriented data science.

Eligibility: applicants must hold at least First Class Honours (H1) or an equivalent qualification recognised by Monash Malaysia. The scholarship is competitive.

How to apply: apply for admission to your preferred degree program and select the scholarship type during the application. No separate scholarship application is required. Before applying, contact the main supervisor and share your academic background and achievements for suitability assessment.

Supervisor: Dr Syafiq Asnawi Zainal Abidin (main supervisor), with associate supervisors in Malaysia, Australia, and an external clinical collaborator at Institut Jantung Negara.

Deadline: 31 October 2026.

Funding details

Competitive funded PhD project under the Global Excellence and Mobility Scholarship (GEMS 2026). The post indicates scholarship support but does not specify stipend amount, tuition coverage, or other financial details.

What's required

Applicants must have a minimum academic qualification of First Class Honours (H1) or its equivalent (H1E) recognised by Monash Malaysia. The project is competitive, and applicants are advised to contact the main supervisor first with details of their academic background and achievements so suitability can be assessed.

How to apply

Apply for admission into the preferred degree program and select the scholarship type during the application. No separate scholarship application is required. Before applying, contact the main supervisor with your academic background and achievements to assess suitability.

More information can be found here

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