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Nanyang Technological University

Research Associate / Assistant (AI/ ML)

Reposted 3 Days Ago
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In-Office
Singapore, SGP
Junior
In-Office
Singapore, SGP
Junior
Apply and adapt the COSMOS framework to new scientific datasets, collaborate with domain experts to interpret discovered motifs and co-develop mechanistic hypotheses, guide data structuring and labeling, advise experimental planning, and build reusable ML pipelines for deployment across domains.
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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
HQ

Nanyang Technological University Singapore, Singapore, SGP Office

Singapore, Singapore

Nanyang Technological University Singapore Office

Singapore

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