Publisher
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Swinburne University of Technology Sarawak Campus

Fully Funded PhD in AI for Public Health and Tuberculosis Early Detection Swinburne University of Technology Sarawak Campus in Malaysia

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD with full tuition waiver, RM1,900 monthly stipend, and RM3,000 research fund. Project duration is 3 years.

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Country

Malaysia

University

Swinburne University of Technology Sarawak Campus

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Keywords

Computer Science
Biomedical Engineering
Information Technology
Biology
Artificial Intelligence
Medical Technology
Mobile Health
Medical Science
Salud Pública
Tuberculosi
ML

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About this position

Fully funded PhD opportunity in AI, Public Health, Tuberculosis, Machine Learning, Mobile Health, and Health Technology at Swinburne University of Technology Sarawak Campus.

The project focuses on developing an AI-powered, mobile-based early detection tool for tuberculosis (TB) in rural Sarawak. The research combines data collection, AI model development, mobile app design, and community collaboration, making it a strong fit for candidates interested in applied AI with real-world social impact.

Funding: full tuition waiver, RM1,900 monthly stipend, and RM3,000 research fund. The project duration is 3 years.

Eligibility highlights: CGPA ≥ 3.5 or a strong Master's track record; genuine passion for AI and healthcare; ability to commit full-time; and readiness to start immediately.

How to apply: Contact the listed academics by email to express interest and discuss the role. Include your academic background, research interests, and evidence that you can start ASAP.

Funding details

Fully funded PhD with full tuition waiver, RM1,900 monthly stipend, and RM3,000 research fund. Project duration is 3 years.

What's required

Applicants should have CGPA ≥ 3.5 or a strong Master's track record, genuine passion for AI and healthcare, and be able to commit full-time and start immediately. The post emphasizes readiness to begin ASAP and interest in AI for social good and community-facing research.

How to apply

Reach out directly to the listed contacts by email to express interest and discuss the opportunity. Prepare to highlight your CGPA or Master's record, AI/healthcare motivation, and ability to start immediately.

More information can be found here

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