Assistant/Associate Professor in AI for Medical Education

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. The role applies Artificial Intelligence technologies and approaches to support and enhance educational delivery, assessment, and learning experiences, and contributes to curriculum development that prepares future physicians for an AI‑enhanced healthcare environment. 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 the MD curriculum, conduct research on AI applications in medical education, and design and deliver an AI literacy curriculum. The position offers faculty appointment at the Assistant Professor or Associate Professor level; rank will be commensurate with experience, achievement and recognition. Roles and Responsibilities Partner with curriculum teams to design, implement and evaluate AI‑powered educational tools such as intelligent tutoring systems, adaptive learning platforms and virtual patient simulations. Develop AI applications for personalised 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 the reporting officer. Develop strong working relationships with collaborators within Duke‑NUS and the wider SingHealth Duke‑NUS Academic Medical Centre. Qualifications Doctoral degree in Computer Science, Biomedical Informatics, Data Science, Artificial Intelligence, Machine Learning, Educational Technology, or a closely related field. Post‑doctoral training or previous faculty appointment in Artificial Intelligence, Medical Education, Educational Technology or another relevant area (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 Language Processing, Computer Vision and/or multimodal learning. Familiarity with learning analytics, data management and educational/healthcare data environments. Understanding of learning management systems or digital learning platforms is advantageous. Experience Minimum three years of experience in the development and practical use of AI/ML applications in educational contexts, healthcare settings or other relevant domains. Experience with learning analytics and educational data mining. Experience with human‑centred design and user experience research. Demonstrable commitment to research and scholarship, including research productivity, grant‑funded research as Principal Investigator or lead, peer‑reviewed publications and other evidence of scholarly activities. Competencies Knowledge of ethical considerations in AI, including bias, fairness and privacy. Exceptional time management and organisational skills, with the ability to work on multiple projects simultaneously and meet deadlines. Accessible, calm, flexible and mature individual with superlative interpersonal skills, capable of working independently as well as in a team environment. Commitment to maintain confidentiality and exercise discretion in the sharing of information. Excellent written and verbal communication and presentation skills, capable of explaining technical concepts to non‑technical audiences. Ability to translate Artificial Intelligence / Machine Learning techniques and data analytics approaches to medical education and practice. Ability to mentor students and faculty in scholarship within the domain of Artificial Intelligence for medical education. More Information All applications, including a letter of interest and a curriculum vitae, should be submitted online. Informal enquiries are welcome and should be directed to Prof Fernando Bello at View email address on click.appcast.io‑nus.edu.sg. We regret that only shortlisted candidates will be notified. #J-18808-Ljbffr