Research Fellow – AI for Science

About the role

NTU’s College of Computing and Data Science is seeking a Research Fellow to advance AI‑for‑Science systems. You will work on designing efficient deep‑learning pipelines that enable scientific reasoning and discovery.

Key responsibilities

• Conduct research on AI‑for‑Science system design, focusing on foundation models, small language models and parameter‑efficient adaptation techniques such as LoRA.
• Develop software prototypes that automate research workflows, integrating autonomous discovery pipelines with modern deep‑learning architectures while handling data privacy and heterogeneity.
• Collaborate with AI researchers to validate and refine methodologies in real‑world translational applications.
• Publish findings in top‑tier conferences and journals (e.g., NeurIPS, ICML, ACL, ACM KDD, IEEE TKDE).
• Support graduate student supervision and contribute to interdisciplinary group activities.

Required profile

• PhD (or equivalent) in Computer Engineering, Computer Science, Applied Mathematics or a related field.
• Strong academic background in machine learning and convex optimization.
• Experience in software development for machine‑learning systems.
• Independent, analytical, proactive and able to work effectively in a team.
• Excellent verbal and written communication skills.

Required skills

• Python programming
• PyTorch or similar deep‑learning framework