Research Associate in Large Language Models for Biodiversity Data Extraction

The University of Cambridge is seeking a Research Associate to develop advanced large language model (LLM) approaches for biodiversity forecasting. This role is part of a major research programme aimed at transforming biodiversity prediction by integrating various data types within a unified modelling framework. The successful candidate will work on AI workflows to extract and validate biodiversity information from scientific literature, contributing to the development of next-generation biodiversity forecasting models. Candidates should have a PhD in relevant fields and experience with large language models and machine learning. The position offers a unique opportunity to work at the intersection of AI and environmental science.