Research Associate/Assistant (AI/ML)

Nanyang Technological University; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

The Institute for Digital Molecular Analytics and Science (IDMxS) at NTU Singapore invites applications for a Research Associate to advance the COSMOS framework. The RA will be embedded at NTU (reporting to Duane at NUS) to engage with data-generating groups while collaborating with the COSMOS team at NUS.

You will adapt COSMOS to new datasets, help interpret motifs, and develop reusable pipelines across domains.

Qualifications

• MSc in AI for Science preferred; BSc in Science or Engineering.
• Experience with unsupervised and self-supervised learning on datasets from scientific instrumentation.
• Strong ML programming with PyTorch and HPC experience.

Responsibilities

• Apply and adapt COSMOS to new datasets.
• Work with domain experts to interpret discovered motifs.
• Co-develop mechanistic hypotheses.

Skills

Unsupervised learning

Self-supervised learning

Scientific programming

Education

MSc degree in AI for Science (preferred)

Bachelor's degree in Science or Engineering

Tools

Pytorch

HPC environment

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.
• 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 A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

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