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Bioinformatician
Postdoctoral Fellows in AI and Computational Biology Full-time NEW
The Yang Zhang Lab at the National University of Singapore (NUS) is recruiting two postdoctoral fellows in artificial intelligence and computational biology. The lab is jointly based in the School of Computing, the Yong Loo Lin School of Medicine, and the Cancer Science Institute of Singapore, and operates at the interface of computer science, structural biology, and biomedical research. This recruitment reflects the ongoing expansion of the lab’s AI-for-Science research program.
These positions target the development of next-generation AI methods for biomolecular modeling and AI-driven drug discovery, with a focus on protein and RNA folding, structure prediction, and sequence design. The research centers on building foundation-model architectures that integrate sequence, structural, and physical information to model functionally relevant biomolecular states and interactions. The work is explicitly method-driven, emphasizing original algorithm and model development that advances the state of the art, rather than the application of existing tools or pipelines to standard benchmarks.
The Zhang Lab provides a research environment designed to support large-scale, method-driven AI development in molecular and biomedical science. Postdoctoral fellows will work in a computationally intensive setting with access to large-scale HPC systems, including hybrid NVIDIA GPU/CPU clusters, and are expected to carry projects from algorithmic conception through large-scale training and rigorous evaluation. The lab is embedded in a strong interdisciplinary ecosystem at NUS, with close proximity to experimental and clinical collaborators when scientifically relevant. Positions are based in Singapore, an international, English-speaking research hub offering excellent connectivity, stability, and quality of life. The lab provides an internationally competitive salary and benefits package, together with strong logistical and research support.
Applicants should hold, or be close to completing, a PhD in computer science, machine learning, biophysics, or a closely related field. We seek candidates with solid programming skills and the ability to develop new models or methods. As postdoctoral fellows are expected to independently lead research projects, candidates should demonstrate the ability to define research directions, take ownership of their projects, and drive them to completion. A strong publication record in relevant venues is expected. Experience in structural bioinformatics or large-scale deep learning is a plus, but the primary criterion remains methodological depth and research creativity.
To apply, please submit a single PDF to Prof. Yang Zhang ([Please click the Apply button for the link or address]) containing a curriculum vitae with a full publication list, a concise research statement outlining prior work and future research plans, and contact information for three referees. Review of applications will begin immediately and continue until the positions are filled. Start dates are flexible. More information about the Zhang Lab and Prof. Yang Zhang’s research can be found at https://zhanggroup.org and https://scholar.google.com/citations?user=MtBs-kMAAAAJ.