Postdoctoral Researcher in Human-Centered Interpretable Machine Learning

This postdoctoral position focuses on developing theory and algorithms for human-centered interpretable machine learning, particularly methods that incorporate background knowledge and expert feedback into model learning and selection. The role involves fundamental research, collaboration with domain experts (especially in healthcare), publishing in leading venues, and co-supervising students. The position is embedded in the Explanatory Data Analysis (EDA) group at the Leiden Institute of Advanced Computer Science (LIACS), which advances algorithms and theory to help people discover meaningful patterns in complex data, understand causality, and make trustworthy decisions.