Posted:
12/11/2025, 9:06:54 AM
Location(s):
Singapore, Singapore
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
AI & Machine Learning
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 Computer Science by US News Best Global Universities; and #5 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.
We are seeking to hire a Research Fellow to support research and development in Generative AI, Statistical machine learning, Large Language Models, Stochastic optimization, Transfer & Evolutionary optimization, Bayesian optimization for complex design in material and engineering.
Key Responsibilities:
Collect relevant datasets, and conduct experiments to gain insights on project-related research questions
Presenting research results to collaborators at scientific meetings or producing reports/ publications
Job Requirements:
Preferably PhD in Computer Science / Engineering or related disciplines.
Independent, highly analytical, proactive and a team player
Excellent teamwork and verbal, written communication skills
In-depth knowledge relevant to the project domain.
Demonstrated capability to conduct innovative research.
Demonstrated strong leadership quality
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTUWebsite: https://ntu.edu.sg/
Headquarter Location: Singapore, Central Region, Singapore
Year Founded: 1991
Last Funding Type: Grant
Industries: Education ⋅ Information Technology ⋅ Universities