Research Associate / Assistant (AI/ ML)

Nanyang Technological University

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NTU Main Campus, Singapore Until 8/22/2026 First posted June 12, 2026 Last posted June 12, 2026
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

About this role

Summary

Apply machine learning to scientific datasets, collaborate with domain experts, develop reusable data pipelines.

Job title

Research Associate / Assistant (AI/ ML)

Experience level

null

Industry

education

Location requirements

On-site at NTU Singapore, some remote collaboration allowed.

Salary

Not specified

Management role

No

Skills & keywords

Required skills

PytorchHPC environmentunsupervised learningself-supervised learningscientific programming

Preferred skills

biologyphysicsspectroscopymicroscopy

Specializations

AIMLunsupervised learningself-supervised learningscientific programming
Locations

Structured locations inferred from the posting.

Unknown location

On-site