Duke-NUS AI Medical Education Faculty Position 2026

Applications are now open for the Assistant/Associate Professor in AI for Medical Education position at Duke-NUS Medical School in Singapore. This full-time academic opportunity is designed for researchers, educators, and AI professionals who want to contribute to the future of healthcare education through artificial intelligence. The position offers the chance to work at one of Asia’s leading graduate medical schools while collaborating with clinicians, scientists, and education specialists on innovative AI-powered teaching and research projects.

As medical schools around the world continue integrating Artificial Intelligence into teaching, assessment, and clinical training, Duke-NUS is investing in experts who can develop next-generation educational technologies and prepare future healthcare professionals for an AI-driven healthcare system. Whether your background is in Artificial Intelligence, Machine Learning, Biomedical Informatics, Computer Science, Data Science, or Medical Education, this faculty role provides an excellent platform to build an internationally recognized academic career.

Position Overview

The appointment may be offered at either the Assistant Professor or Associate Professor level depending on the applicant’s academic qualifications, teaching experience, research achievements, and publication record.

About Duke-NUS Medical School

Duke-NUS Medical School is a collaboration between the National University of Singapore (NUS) and Duke University in the United States. It is internationally recognized for its research excellence, innovative medical education, and strong partnerships with the SingHealth Duke-NUS Academic Medical Centre.

The Office of Education plays a leading role in modernizing medical education by integrating digital technologies, simulation-based learning, and Artificial Intelligence into healthcare training. Faculty members work closely with clinicians, researchers, curriculum leaders, and students to create evidence-based learning environments that improve both education and patient care.

Areas of Expertise

Applicants should demonstrate expertise in one or more of the following disciplines:

• Artificial Intelligence
• Machine Learning
• Data Science
• Computer Science
• Biomedical Informatics
• Medical Education
• Educational Technology
• Natural Language Processing (NLP)
• Computer Vision
• Learning Analytics
• Digital Health
• Healthcare Data Science

Candidates with interdisciplinary research experience will have an added advantage.

Employment Benefits

Successful applicants can expect a competitive academic package that may include:

• Competitive salary and faculty appointment
• Opportunities to conduct internationally recognized research
• Access to advanced research laboratories and facilities
• Collaboration with SingHealth Duke-NUS Academic Medical Centre
• Internal and external research funding opportunities
• Support for publishing in high-impact academic journals
• Funding to attend international conferences and workshops
• Professional development and academic career advancement
• Opportunities to supervise medical students, researchers, and faculty members
• Participation in innovative AI-driven education initiatives

Eligibility Criteria

Applicants should meet the following requirements:

• Hold a PhD or equivalent doctoral degree in Artificial Intelligence, Computer Science, Machine Learning, Biomedical Informatics, Data Science, Educational Technology, or a closely related discipline.
• Demonstrate strong knowledge of Artificial Intelligence and Machine Learning technologies.
• Have experience developing AI or machine learning applications.
• Possess programming skills in Python, R, or similar programming languages.
• Be familiar with modern AI frameworks and software development tools.
• Have knowledge of Natural Language Processing, Computer Vision, multimodal AI, or learning analytics.
• Demonstrate a strong research profile with peer-reviewed publications.
• Show excellent communication, collaboration, and leadership skills.
• Be committed to ethical AI principles, including fairness, transparency, privacy, and responsible AI development.

Previous postdoctoral training or university teaching experience is desirable but not mandatory.

Preferred Experience

The selection committee will particularly value candidates who have:

• At least three years of professional experience in AI or Machine Learning development.
• Experience working in higher education, healthcare, or medical education.
• Experience securing competitive research grants.
• Published research in internationally recognized journals.
• Experience supervising students, researchers, or academic staff.

Key Responsibilities

The successful faculty member will contribute to both research and education by:

• Designing AI-powered educational technologies for medical training.
• Developing adaptive learning platforms and intelligent tutoring systems.
• Creating AI-based assessment and feedback tools.
• Conducting research in Artificial Intelligence for medical education.
• Publishing research findings in leading international journals.
• Applying for national and international research funding.
• Delivering AI literacy programs for medical students.
• Organizing workshops and faculty development activities.
• Mentoring students, researchers, and junior faculty.
• Collaborating with clinicians, educators, and technology teams.
• Supporting curriculum innovation and academic administration.

Required Documents

Applicants should prepare the following documents before applying:

• Online Application Form
• Letter of Interest
• Updated Curriculum Vitae (CV)

Additional supporting documents or references may be requested during the recruitment process.

How to Apply

Interested applicants should complete the application through the official Duke-NUS recruitment portal by following these steps:

1. Visit the official careers website.
2. Complete the online application form.
3. Upload your Letter of Interest.
4. Attach your updated Curriculum Vitae.
5. Review all information carefully.
6. Submit the application before recruitment closes.

Application Deadline

No official closing date has been announced for this position. Applications will be reviewed on a rolling basis, and the vacancy may close once a suitable candidate has been selected. Early submission is strongly recommended to maximize your chances of consideration.

Why You Should Apply

This position offers far more than a traditional faculty appointment. It provides an opportunity to shape the future of medical education by integrating Artificial Intelligence into teaching, assessment, and curriculum design. Faculty members will collaborate with internationally recognized researchers while contributing to innovative educational technologies that can influence healthcare training worldwide.

For researchers interested in AI, digital health, educational innovation, and academic leadership, Duke-NUS Medical School provides an outstanding environment for long-term career growth and global research collaboration.