Postdoc Trustworthy Graph Machine Learning

This postdoctoral position focuses on developing trustworthy graph machine learning techniques for analyzing population-scale networks, with a dual emphasis on model explainability and privacy-preserving learning. The researcher will work on creating interpretability methods for graph models while mitigating privacy risks in sensitive network data. Collaboration with the principal investigator and an interdisciplinary team within the Macroscope research infrastructure is a key component of the role.