Applications are now open for the Assistant/Associate Professor in AI for Medical Education position at Duke-NUS Medical School in Singapore. This is an excellent full-time academic opportunity for professionals with expertise in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Biomedical Informatics, and Medical Education who wish to contribute to the future of AI-powered healthcare education.
The successful candidate will join the Office of Education at Duke-NUS Medical School and work closely with curriculum leaders, faculty members, clinicians, researchers, and students to develop AI-driven educational tools, conduct research, and design AI literacy programs for future healthcare professionals.
Position Summary
- Host Country: Singapore
- Institution: Duke-NUS Medical School
- Department: Office of Education
- Position: Assistant/Associate Professor in AI for Medical Education
- Job Type: Full-Time
- Employment Category: Academic Position
- Location: Outram Campus, Singapore
- Eligible Nationalities: All Nationalities
- Application Mode: Online
Position Level
The opportunity is available at:
Assistant Professor
Associate Professor
The final academic rank will depend on the applicant's qualifications, achievements, and experience.
Fields of Expertise
Applicants should have expertise in one or more of the following areas:
Artificial Intelligence
Machine Learning
Computer Science
Biomedical Informatics
Data Science
Educational Technology
Medical Education
Natural Language Processing
Computer Vision
Learning Analytics
Digital Health
Healthcare Data Science
Employment Benefits
Successful candidates may receive:
Competitive salary package
Faculty appointment at Duke-NUS Medical School
Opportunities to conduct internationally recognized research
Access to state-of-the-art research facilities
Collaboration with SingHealth Duke-NUS Academic Medical Centre
Research funding opportunities through internal and external grants
Opportunities to publish in leading academic journals
Support for attending international conferences
Professional development and career advancement
Opportunity to mentor medical students, researchers, and faculty members
Eligibility Criteria
Applicants should meet the following requirements:
Hold a doctoral degree in Computer Science, Artificial Intelligence, Biomedical Informatics, Data Science, Educational Technology, Machine Learning, or a closely related discipline.
Postdoctoral training or previous faculty experience is desirable but not mandatory.
Have strong expertise in Artificial Intelligence and Machine Learning.
Demonstrate experience in developing AI or Machine Learning applications.
Possess strong programming skills in Python, R, or similar languages.
Have experience using modern AI frameworks and development tools.
Be familiar with Natural Language Processing, Computer Vision, or multimodal AI.
Have knowledge of learning analytics and educational data management.
Demonstrate a strong research and publication record.
Have excellent communication and teamwork skills.
Be committed to ethical AI practices, including fairness, privacy, and responsible AI.
Required Experience
Applicants should preferably have:
At least three years of professional experience developing AI or Machine Learning applications.
Experience in higher education, healthcare, or medical education environments.
Experience conducting funded research.
Peer-reviewed research publications.
Experience mentoring students or academic researchers.
Job Responsibilities
The selected candidate will:
Develop AI-powered educational tools for medical education.
Design adaptive learning platforms and intelligent tutoring systems.
Build AI-driven assessment and feedback systems.
Conduct research on Artificial Intelligence in medical education.
Publish research findings in international journals.
Apply for research grants.
Deliver AI literacy training for medical students.
Conduct workshops for faculty members.
Mentor students and researchers.
Collaborate with education, IT, and healthcare teams.
Support curriculum development and innovation.
Participate in academic and administrative activities.
Required Documents
Applicants should prepare:
Online application
Letter of interest
Curriculum Vitae (CV)
Additional supporting documents may be requested during the recruitment process.
How to Apply
Interested candidates should follow these steps:
Visit the official Duke-NUS careers portal.
Complete the online application form.
Upload your letter of interest.
Upload your updated Curriculum Vitae.
Review all submitted information.
Submit the application online.
Application Deadline
The official job advertisement does not specify an application deadline. Applicants are encouraged to submit their applications as early as possible because recruitment may close once the position is filled.
Official Call: https://careers.nus.edu.sg/job/AssistantAssociate-Professor-in-AI-for-Medical-Education/31785-en_GB
