Research Fellow, AI (School of Computing)

National University of Singapore; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

The National University of Singapore invites applications for a Research Fellow in the Department of Computer Science, School of Computing. The role centers on AI for Science and computational biology, developing advanced machine learning methods for biomolecular structure prediction and molecular design.

You will work on multimodal and graph-based representation learning, foundation models, and generative AI, collaborating with researchers from diverse disciplines and publishing results in

Qualifications

• PhD in a relevant field with strong ML/DL background.
• Proven expertise in ML/DL, including graph neural networks, transformers, and generative models.
• Proficiency in Python and modern deep-learning frameworks.
• Strong analytical, problem-solving, and communication skills for interdisciplinary work.

Responsibilities

• Develop and evaluate new ML algorithms for biomolecular structure prediction and molecular design.
• Conduct large-scale computational experiments and analyze results.
• Collaborate with interdisciplinary researchers and publish findings.
• Advance multimodal and graph-based representation learning in AI for science.

Skills

Machine learning

Deep learning

Graph neural networks

Transformers

Optimization

Generative models

Python

Analytical skills

Communication skills

Interdisciplinary research

Education

PhD in Machine Learning, Artificial Intelligence, Computer Science, Applied Mathematics, or a closely related field

Job description

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The candidate will conduct research in AI for Science and computational biology, with a focus on developing advanced machine learning methods for biomolecular structure prediction and molecular design. The research will involve multimodal and graph-based representation learning, foundation models, and generative AI for integrating sequence, structural, geometric, and physical information across proteins, nucleic acids, and small molecules. The Research Fellow will develop and evaluate new algorithms, conduct large-scale computational experiments, collaborate with interdisciplinary researchers, and publish research findings in leading journals and conferences.

Qualifications

PhD in Machine Learning, Artificial Intelligence, Computer Science, Applied Mathematics, or a closely related field. Strong background in machine learning and deep learning, with experience in areas such as graph neural networks, multi-view learning, representation learning, transformers, optimization, or generative models. Strong programming skills in Python and experience with modern deep-learning frameworks are required. The candidate should demonstrate strong analytical and problem-solving abilities, research independence, good communication skills, and the ability to work effectively in an interdisciplinary research environment. Prior experience in computational biology is desirable but not essential.