The main focus of our group is threefold: 

• understanding complex systems by extracting novel insights into their underlying processes, 

• modeling complex systems by integrating existing domain knowledge into machine learning methods, and 

• developing methods for knowledge management, representation, and interaction. 

Our approaches range from multimodal learning, network analysis, and model mining to Bayesian modeling, deep learning, representation learning, explainable AI, security, and privacy through human-computer interaction, targeting top venues of research publication. Join us! We are looking for talented and self-motivated research assistants to work on groundbreaking, real-world problems in the context of high-impact applications like agriculture, healthcare, and environmental change.