We are seeking a highly motivated Research Associate in NLP, Mechanistic Interpretability and Trustworthy Generative AI to contribute to AIRIS: Mechanism‑Informed Generative AI for Causal and Dynamical Modelling in Multimodal Biomedical Research, a Horizon Europe project. The post holder will be based in the Department of Computer Science and the National Centre for Text Mining. We welcome candidates who bring diverse perspectives, experiences, and approaches to their work.

Responsibilities

• Develop biomedical NLP methods for mechanism extraction.
• Design and implement methods for extracting biomedical entities, events, relations, causal claims and mechanistic pathways from scientific literature.
• Build pipelines that link textual evidence to biomedical ontologies, knowledge graphs, causal models and semantic representations.
• Develop methods to assess AI‑generated hypotheses for plausibility, novelty, evid...