Research Fellow – Probabilistic Machine Learning

About the role

NTU’s College of Computing and Data Science is seeking a Research Fellow to advance probabilistic machine learning, causal discovery and generative AI. The role focuses on designing novel architectures for latent dynamic modelling and collaborating with industry and open‑source communities.

Key responsibilities

• Conduct research in AI/ML, especially probabilistic ML and scalable sequence network architectures.
• Produce academic publications, including research papers and patent applications.
• Contribute to annual reports and present findings.
• Collaborate with faculty, research staff, and students on robotics and AI projects, supporting graduate student supervision.
• Engage with industry or academic partners to explore collaborative opportunities and deliver project outcomes.

Required profile

• PhD in Computer Science, Statistics, Electronics Engineering or a related field.
• Independent, highly analytical, proactive and a strong team player.
• Excellent verbal and written communication skills.
• In‑depth knowledge of the project domain and demonstrated capability to conduct innovative research.
• Ability to formulate hypotheses, design effective experiments and implement new experimental methods.
• Willingness to work flexible hours and oversee project progress.