Posted:
10/22/2024, 5:00:00 PM
Location(s):
Singapore, Singapore
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and #6 for Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.
A hot bed of cutting-edge technology and groundbreaking research, the college aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.
CCDS invites applications for multiple positions of Lecturer or Senior Lecturer, each requiring industry and/or academic experience in one or more of the following, or closely related, areas:
Responsibilities:
Requirements:
Candidates should be passionate about teaching and learning, hold a PhD or at least a Master's degree in related disciplines, and have excellent communication skills. The College seeks individuals who have relevant industry experience and demonstrable university-level teaching ability to educate the next-generation leaders in Computing and Data Science.
Review of applications and shortlisting decision will be on an on-going basis until the positions are filled. Interested applicants are invited to submit their applications through the NTU career portal by clicking the “Apply” button. To facilitate the process, please submit the following documents if applicable.
Website: https://ntu.edu.sg/
Headquarter Location: Singapore, Central Region, Singapore
Year Founded: 1991
Last Funding Type: Grant
Industries: Education ⋅ Information Technology ⋅ Universities