Research Associate in NLP, Mechanistic Interpretability and Trustworthy Generative AI

This role offers an exciting opportunity to contribute to AIRIS: Mechanism-Informed Generative AI for Causal and Dynamical Modelling in Multimodal Biomedical Research. The post holder will be based in the Department of Computer Science and the National Centre for Text Mining, focusing on developing biomedical NLP methods for mechanism extraction, designing and implementing methods for extracting biomedical entities, and assessing AI-generated hypotheses. Essential criteria include a PhD in Computer Science with a focus on AI and NLP, strong programming skills, and experience with mechanistic interpretability. We encourage applications from diverse backgrounds.