AI‑Assisted Biodiversity Research Assistant

The Lee Kong Chian Natural History Museum is developing an AI‑assisted biodiversity research platform to support taxonomic research. The project aims to help taxonomists organise, extract, annotate, and connect biodiversity information from taxonomic literature, specimen images, trait data, and other research outputs. Current work involves a range of invertebrate taxa, including flatworms, flies, and sponges. As the project spans different taxonomic groups, the role requires broad biodiversity and taxonomic literacy rather than specialist expertise in a single group. The project will involve converting taxonomic literature and specimen image data into structured and reusable formats for AI‑assisted research workflows. Prior experience with AI, programming, ontologies, or knowledge graphs is not required; training will be provided.

The Research Assistant will support an AI‑assisted biodiversity research project through taxonomic lit...