Postdoctoral Fellows
in AI and Computational Biology — National University of Singapore
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
(zhang@nus.edu.sg) 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.
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