755 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at National University of Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
want to be part of a team that drives meaningful impact, we’d love to hear from you! Join us and be a part of shaping the future of finance at NUS! Website: https://www.nus.edu.sg/finance LinkedIn: https
-
Job Description Apply now Job Title: AI Engineer (AIEH) for AI Singapore (Innovation) Posting Start Date: 28/11/2025 Job Description: Job Description AI Singapore (AISG) is a national AI programme
-
and groom future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https://bschool.nus.edu.sg/ Job Description Oversee and fulfil
-
Job Description Apply now Job Title: Manager (Centre for Teaching, Learning and Technology) Posting Start Date: 14/11/2025 Duties and Responsibilities The successful candidate will be expected
-
shaping the future. https://nusit.nus.edu.sg/ Job Purpose We’re looking for someone who’s passionate about technology and enjoys making a real impact. In this role, you’ll be responsible for delivering IT
-
Category: Research Staff Location_ONB: Kent Ridge Campus Posting Start Date: 19/01/2026 Job Description Our research group (https://neuronsignalinglab.org/) is looking for a Research Assistant to serve as
-
) Programme is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and ophthalmological disorders. The laboratory
-
. For more details on what we do, do visit https://medicine.nus.edu.sg/circ/ . The mission of CIRC is to provide a shared state-of-the-art national resource for translational molecular imaging research
-
of technology or AI-enhanced solutions to address specific pedagogical needs. Work with the AICET ScholAIstic (https://scholaistic.com ) team and other product teams to support development and testing of AI
-
science, GIS, computer science or other relevant disciplines • Good background knowledge and overall interest in design technology • Proficient in statistical and programming skills, like Python