Research Associate in Large Language Models for Biodiversity Data Extraction (Fixed Term)
Develop agentic large language model systems to extract and validate biodiversity data from over one million scientific papers, integrating findings into the Climate-Informed Spatial Genomic Models (CISGeMs) framework. Work within an interdisciplinary team to build AI workflows for species distribution, ecological interactions, and environmental associations, supporting next-generation biodiversity forecasting. Contribute to open-source tools, mentor junior researchers, and collaborate on large-scale knowledge extraction across Cambridge.