CareerPlan

Research Associate / Assistant (AI/ ML)

NTU Main Campus, SingaporeFull-time2026-10-20 → 2026-11-10

Core

Apply and adapt the COSMOS framework to new biological datasets, interpret discovered motifs, and co-develop mechanistic hypotheses with domain experts.

Role type

Research Associate (AI/ML for Science)

Builds

Reusable ML pipelines deployed across multiple scientific domains

Domain

Digital Molecular Analytics and Science (Biology/Chemistry + AI)

Deliverable

production ML models

Required skills

unsupervised and self-supervised learning, scientific programming in PyTorch, HPC environment experience, data structuring and labeling strategies, experimental planning

Preferred skills

MSc in AI for Science