Research Fellow (Computer Engineering/Computer Science/Applied Mathematics) - Choa Chu Kang

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.

We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow.

Key Responsibilities:

• Conduct research on the design and analysis of scalable machine learning systems using convex/nonconvex optimization and federated learning methods.
• Develop algorithms and prototypes for decentralized or on-device learning tailored to healthcare data constraints (e.g., privacy, intermittency, heterogeneity).
• Collaborate with clinicians and researchers from local hospitals (e.g., TTSH) on real-world deployment in ambient intelligence and clinical informatics.
• Publish in top-tier conferences and journals (e.g., NeurIPS, ICML, MLSys, IEEE TPAMI, JBHI).

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Applied Mathematics or equivalent.
• Strong background in machine learning, convex optimization, or distributed systems.
• Prior experience in federated learning, edge computing, or healthcare applications is highly desirable.
• Proficient in Python and ML frameworks such as PyTorch or TensorFlow.
• 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.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Demonstrated ability to formulate hypothesis and design effective experimental plans.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.