Teaching Assistant (Department of Information Systems & Analytics)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Teaching-Assistant-%28Department-of-Information-Systems-&-Analytics%29/33144-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Department of Information Systems and Analytics is recruiting full-time Teaching Assistants for Semester 2 of Academic Year 2025/2026!

A Teaching Assistantship is an excellent starting point for a career in academic teaching. Teaching Assistants gain teaching experience during graduate studies, which is welcomed by future employers in academia and beyond. A limited number of positions are available for both current Teaching Assistants wishing re-appointment, and new appointments.

Some information about TA position:

• Duties: conduct tutorial/laboratory/recitation sessions, assist the lecturer with grading and other course administration tasks, exam/test invigilation etc.
• Able to teach and/or support at least 3-4 BT/IS-coded courses, with at least 1-2 foundational courses at levels 1000 and 2000. See here for a list of SoC courses.
• The workload is expected to be around 16 hrs/week, of which up to 10 can be contact hours.
• The starting date will be July 2026.

For PhD students, note that being appointed as a full-time TA means that you will have to convert your student status to be part-time.

Who may apply?

• Senior PhD students who are doing well in research and who have good part-time teaching records may apply for new appointments.
• PhD students should discuss with their supervisors before applying. 
• Undergraduate and Master’s students who plan to continue their studies at SoC as a PhD student with the Department, and have obtained a Honors (Highest Distinction) or Honors (Distinction) may also apply.  
• We accept any computing-related degree (e.g. Business Analytics, Information Systems, Computer Science, etc).