Research Fellow – Probabilistic Machine Learning & GenAI

About the role

The Department of Computer Science at Nanyang Technological University seeks a Research Fellow to advance probabilistic machine learning and generative AI. You will design innovative sequence models, explore continual learning, and develop Bayesian approaches for uncertainty quantification.

Key responsibilities

• Conduct cutting‑edge research in probabilistic ML and scalable sequence network architectures.
• Publish research papers and file patent applications.
• Contribute to annual reports and present findings.
• Collaborate with faculty, research staff, and graduate students on AI and robotics projects.
• Engage with industry and academic partners to explore collaborative opportunities.

Required profile

• PhD in Computer Science, Statistics, Electronics Engineering or a related field.
• Independent, highly analytical, proactive, and able to work in a team.
• Strong verbal and written communication skills.
• Demonstrated ability to formulate hypotheses and design effective experiments.
• Willingness to work flexible hours and adapt to novel research directions.

Required skills

• Probabilistic machine learning
• Sequence model design and auto‑regressive modeling
• Continual learning
• Recurrent memory architectures
• Bayesian modelling
• Uncertainty quantification
• Machine learning systems development