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"Assistant/Associate Professor in AI for Medical Education"

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Assistant/Associate Professor in AI for Medical Education

Assistant/Associate Professor

April 19, 2026

Location

Singapore

Duke-NUS Medical School

Type

Full-time Academic Faculty

Start Date

February 13, 2026

Required Qualifications

Doctoral degree in Computer Science, Biomedical Informatics, AI, or related
Expertise in AI/ML methods
Strong Python/R programming skills
Experience with AI/ML frameworks and deployment

Research Areas

AI in Medical Education
Intelligent Tutoring Systems
Adaptive Learning Platforms
AI-Driven Assessment
AI Literacy Curriculum
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Assistant/Associate Professor in AI for Medical Education

Posting Start Date: 13/02/2026

Scope of Position

Duke-NUS Medical School invites applications for a full-time Assistant/Associate Professor in AI for Medical Education within the Office of Education. This innovative role will apply Artificial Intelligence technologies and approaches to support and enhance educational delivery, assessment, and learning experiences, while also contributing to curriculum development that prepares future physicians to practice effectively in an AI-enhanced healthcare environment. 
Working in close partnership with MD curriculum leadership, teams, faculty, administrators, and students, the successful applicant will co-lead and support initiatives to develop and integrate AI-powered educational tools across our MD curriculum, conduct research on AI applications in medical education, and design and deliver an AI literacy curriculum. This position represents a unique opportunity to shape the future of medical education at the intersection of technology and healthcare. The successful applicant will be eligible for faculty appointment at the Assistant Professor or Associate Professor level at Duke-NUS; rank will be commensurate with experience, achievement and recognition. The postholder will collaborate with clinician educators and scientists across all health professions and disciplines in the SingHealth Duke-NUS Academic Medical Centre.

Roles and Responsibilities:

  • Partner with curriculum teams to design, implement, and evaluate AI-powered educational tools such as intelligent tutoring systems, adaptive learning platforms, virtual patient simulations, etc
  • Develop AI applications for personalized learning experiences that respond to individual student needs and learning patterns
  • Support the development and deployment of AI-driven assessment systems that provide automated feedback, performance analytics, and competency evaluation
  • Conduct original research on the effectiveness of AI applications in medical education
  • Publish findings in peer-reviewed journals and present at national and international conferences
  • Secure internal and external funding to support AI-driven educational innovation projects
  • Collaborate with Education and IT teams to support learning analytics and educational data management throughout the School
  • Contribute to the development and delivery of AI literacy curriculum for medical students
  • Conduct workshops and training sessions for faculty on both using AI tools and teaching about AI
  • Mentor students, health care educators and investigators interested in Artificial Intelligence for medical education
  • Participate in the general teaching, service and administrative responsibilities of the Office of Education as determined by their Reporting Officer
  • Develop strong working relationships with collaborators both within Duke-NUS and the wider SingHealth Duke-NUS Academic Medical Centre
  • Appropriate duties as assigned by reporting officer

Qualifications

Education:
- Doctoral degree in Computer Science, Biomedical Informatics, Data Science, Artificial Intelligence, Machine Learning, Educational Technology, or closely related field
- Postdoctoral training or previous faculty appointment in Artificial Intelligence, Medical Education, Educational Technology or other relevant area is desirable but not essential

Technical Expertise:
- Demonstrated expertise in Artificial Intelligence and Machine Learning methods and their practical application
- Strong programming skills (Python, R, or similar languages) used in AI and data science development
- Experience developing, training, and deploying AI/ML models using modern frameworks and tools. 
- Knowledge of relevant AI domains such as Natural La

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Frequently Asked Questions

🎓What qualifications are required for the Assistant/Associate Professor in AI for Medical Education?

Candidates need a doctoral degree in Computer Science, Biomedical Informatics, Data Science, Artificial Intelligence, Machine Learning, or Educational Technology. Postdoctoral or prior faculty experience desirable. Technical skills include AI/ML expertise, Python/R programming, and deploying models with modern frameworks. Explore faculty positions for similar roles.

🔬What are the key responsibilities in this AI Medical Education role?

Core duties: Partner on AI-powered tools like tutoring systems and simulations; develop personalized learning; deploy AI assessments; conduct research and publish; secure funding; deliver AI literacy curriculum; mentor and train faculty. See research jobs for related opportunities at Duke-NUS.

📅When does the posting start and what is the application deadline?

Posting start date: February 13, 2026. Application deadline: April 19, 2026. Apply via the provided link in the job post. Check professor jobs deadlines for timely submissions.

📊What research opportunities exist in AI for Medical Education at Duke-NUS?

Conduct original research on AI applications in medical education, publish in journals, present at conferences, and secure funding. Collaborate across SingHealth Duke-NUS. Relevant: SMU AI assessments research highlights Singapore's AI education focus.

🌍Is this a full-time position and what is the location?

Yes, full-time faculty role at Duke-NUS Medical School in Singapore, Office of Education. Rank: Assistant/Associate Professor based on experience. View Singapore faculty jobs for more.

📄How to prepare a strong application for this AI faculty position?

Highlight AI/ML projects in medical education, publications, and programming portfolio. Tailor CV to responsibilities. Resources: How to write a winning academic CV and free resume template.

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