Job Description

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 #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.

College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow . Our lab advances the mathematical foundations, algorithms, and real-world applications of epistemic uncertainty in machine learning, with a strong focus on imprecise probabilities, uncertainty representation and quantification, explainability, and decision-making under uncertainty. We aim to push the boundaries of theory and practice in these areas, developing principled methods that address fundamental and applied challenges.

Key Responsibilities:

As an early-career researcher developing your academic profile, you will be expected to:

• Conduct cutting-edge research in areas aligned with the group's research agenda.
• Demonstrate research independence and produce original work that advances the state of knowledge in the field.
• Mentor and support junior researchers and students within the group.

Job Requirements:

• Preferably PhD in Mathematics, Statistics, Computer Science, Physics, Engineering or equivalent.
• 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.
• Ability to initiate collaboration research in multidisciplinary team.

We regret that only shortlisted candidates will be notified.