Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

• Research and explore new learning challenges/problems that students will face using Generative AI
• Research challenges/difficulties/concerns educators face when using Generative AI for teaching and learning
• Develop ideas to overcome challenges with teaching/learning using Generative AI - either in the form of learning activities or assessments
• Test run experimental learning activities/assessments with students to collect feedback and insights
• Propose novel ways of collecting data and insights from AI-based learning activities and assessments, and help to analyse data from the test runs
• Develop training resources and materials to educate the NUS community on the use of AI in education and research
• Conduct and/or facilitate sharing sessions on teaching and learning with AI with the NUS community.
• Design focus group and survey questions, lead the studies, and evaluate the results to help AICET better understand the needs of the community.
• Run data analytics of the AICET website and its upcoming online resources to evaluate the efficacy/engagement of the resources and provide strategic insights on how best to deliver them to the NUS community.

Qualifications

• Masters degree in Computer Science, Information Technology, or any other disciplines relevant to the scope of pedagogical work (e.g. a Master of Arts is sufficient for pedagogy work relevant to supporting education in the humanities and social sciences)
• At least 2 years of teaching experience
• Has a track record for innovation
• Good communication skills (English: written and spoken).
• Strong inter-personal, time management and organisational skills.

Only shortlisted candidates will be notified.