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Research Associate / Assistant (AI/ ML)

Research AssociateLaboratory & Life Sciences
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Quick Summary

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.

Requirements Summary

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).

Technical Tools
Research AssociateLaboratory & Life Sciences

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

Location & Eligibility

Where is the job
Singapore
On-site within the country
Who can apply
SG

About this job

Who can apply
Singapore
Posted
Today
Employer
has 733 open jobs on Jobera.

Listing Details

First seen
October 18, 2026
Last seen
October 18, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
49%
Scored at
October 18, 2026

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Research Associate / Assistant (AI/ ML)