The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Project Officer for Agentic Science. This position supports the development of AI-driven workflows for curating, augmenting, and analyzing scientific literature data. The role focuses on designing rule- and agent-based approaches to assess data completeness, infer missing experimental parameters, standardize heterogeneous formats and units, and extract analytical insights from published research articles across chemistry-related domains.
The Project Officer will take on a significant role in developing proof-of-concept demonstrations of data augmentation agents, conducting statistical analyses of curated literature datasets, and supporting integration with external scientific databases and online resources.
Key Responsibilities:
Develop and implement AI-driven data augmentation agents for scientific literature curation
Apply expert-defined rubrics to assess completeness and quality of extracted experimental parameters
Design and execute Python-based scripts to infer derived parameters and standardize units and formats
Integrate external databases and online resources to enrich curated datasets
Conduct statistical analyses and prepare proof-of-concept demonstrations across selected literature domains
Job Requirements:
Bachelor’s degree in Chemistry, Data Science, Computer Science, or a related field
Proficiency in Python for data processing, analysis, and automation
Good analytical, documentation, and communication skills
Experience with agentic frameworks (e.g. LangChain) is an advantage
We regret that only shortlisted candidates will be notified.
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