Research Associate: COSMOS & Scientific ML for Complex Biology

Nanyang Technological University Singapore; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

Nanyang Technological University Singapore is seeking a Research Associate to expand COSMOS within IDMxS. This role involves collaboration with domain experts and interpretation of data to develop hypotheses.

The ideal candidate will have an MSc in AI for Science and experience in unsupervised learning workflows, specifically with scientific instruments like microscopy and spectroscopy. A solid programming background in machine learning using tools like Pytorch is essential.

Qualifications

• MSc degree in AI for Science or Bachelor’s in Physics/Biology/Engineering.
• Practical experience with scientific datasets and instrumentation.
• Strong scientific programming skills using ML techniques.

Responsibilities

• Apply and adapt COSMOS to new datasets.
• Interpret discovered motifs and develop hypotheses.
• Contribute to experimental planning and data structuring.

Skills

Unsupervised learning

Self-supervised learning

MSc in AI for Science

Scientific programming in ML stack

Experience with HPC environments

Education

MSc in AI for Science

Bachelor’s in Science/Engineering

Tools

Pytorch

Microscopy

Spectroscopy

Time-series analysis

Job description

The Institute for Digital Molecular Analytics and Science (IDMxS), officially launched on 1 December 2022, is a Research Centre of Excellence (RCE) supported by a total investment of around S$160 million over 10 years. IDMxS’ overarching approach is to go beyond the neat simplicity of intermolecular interactions in dilute media and embrace the inherent complexity of biological interactions and dense heterogeneity of their environments. For more details, please view https://idmxs.org/.

We are looking for a Research Associate (RA) who will drive the expansion of COSMOS across IDMxS. The RA will be primarily embedded at NTU (with reporting to Duane at NUS) to facilitate direct interaction with data-generating groups, while maintaining regular engagement with the COSMOS development team at NUS. This co-embedding model ensures both access to domain-specific data and continuous development of the underlying framework.

Key Responsibilities

• Responsible for applying and adapting COSMOS to new datasets,
• Working closely with domain experts to interpret discovered motifs, and co-developing mechanistic hypotheses.
• Help guide data structuring and labeling strategies, contribute to experimental planning by identifying what data is needed to test hypotheses, develop reusable pipelines that can be deployed across multiple domains.
  
  

Requirements

• MSc degree in AI for Science (preferred), with a Bachelor’s degree in Science (e.g., Physics or Biology) or Engineering (e.g., Electrical, Computational).
• Practical experience with unsupervised and self-supervised learning workflows on datasets from scientific instrumentation (e.g., microscopy, spectroscopy, time-series)
• Strong scientific programming background in ML stack (i.e., Pytorch) and experienced in HPC environment.
  
  

We regret to inform that only shortlisted candidates will be notified.


Hiring Institution: NTU