Not specified (assumed to be on-site due to the nature of the research).
Strong reinforcement learning background
First author paper or preprint in rl
Solid undergraduate chemistry training
The National University of Singapore is seeking a Research Assistant with a specialization in machine learning, particularly in reinforcement learning applications within the biomedical field. The ideal candidate will possess a strong background in both chemistry and machine learning, with a focus on developing language models for molecular design
Job Summary
The Research Assistant will conduct fundamental research on reinforcement learning applied to biomedical topics including large language models.
The role involves developing RL techniques to improve the generalization and robustness of models designed for generating molecular sequences and structures.
This position requires a solid chemistry background evidenced by undergraduate training and strong publication history in reinforcement learning.
Matching Summary
Match Score: 85
The National University of Singapore is seeking a Research Assistant with a specialization in machine learning, particularly in reinforcement learning applications within the biomedical field. The ideal candidate will possess a strong background in both chemistry and machine learning, with a focus on developing language models for molecular design.
Skills & Requirements
Must-have
Strong reinforcement learning background
First author paper or preprint in RL
Solid undergraduate chemistry training
Experience with large language models
Knowledge of tokenization and agentic systems
Nice-to-have
Collaboration with biologists
Experience in chemical language modeling
Strong written communication skills
Interest in molecular sequence generation
Key Requirements
Bachelor's degree in related field
First author paper/preprint in reinforcement learning