Jürgen Hackl

Jürgen Hackl is an Assistant Professor at Princeton University in the Department of Civil and Environmental Engineering. He previously held academic positions at the University of Liverpool (2020) and the University of Cambridge (2022), and was a senior researcher at the University of Zürich’s Department of Computer Science (2019–2022). His work bridges formal network science methods with computational modeling for infrastructure systems.

• PhD in Civil Engineering Science (2019), ETH Zürich
• CAS in Risk and Safety (2015), ETH Zürich
• MSc in Structural Engineering (2013) and Construction Management (2012), TU Graz
• BSc in Civil Engineering Science (2011), TU Graz

Dr. Hackl’s research focuses on complex urban systems, emphasizing network analysis, risk and reliability, and digital twins. He develops scalable data analytics and machine learning techniques for spatial-temporal networks, aiming to model systemic risks in socio-technical systems and integrate physics-based models with data-driven approaches.

He is the lead developer of pathpy, a Python package for higher-order network analysis, and maintains tools like tikz-network for LaTeX visualization. His work spans natural hazard modeling, infrastructure deterioration, and urban resilience under climate change.

Current openings for PhD and postdoc positions focus on network dynamics, graph machine learning, and probabilistic modeling. Funding covers tuition, stipend, and conference travel.