PhD Position in AI-Supported Resilience Assessment of Climate-Neutral Transport Infrastructure

Developing AI-supported surrogate models for infrastructure stress testing Linking surrogate models with agent-based and network-based simulations Assessing infrastructure interdependencies and recovery constraints Supporting resilience assessment across asset, corridor, and network scales Contributing to cost-benefit and decision-support analysis Addressing uncertainty, reliability, and explainability Integrating results with digital-twin and monitoring data Collaborating with the European project consortium

The Chair of Infrastructure Management, led by Professor Dr. Bryan T. Adey within the Institute of Construction and Infrastructure Management of the Department of Civil, Environmental, and Geomatic Engineering, has an opening for a PhD student in transport infrastructure resilience. The position is part of the EU Horizon project SHIFTIN, which aims to accelerate the transition towards climate-neutral, resilient, and biodiversity-friendly transport infrastructure by 2050.

• A Master’s degree in civil engineering, transport engineering, infrastructure systems, environmental engineering, computational engineering, data science, or a closely related field

• Strong quantitative and programming skills, preferably in Python, with experience in machine learning, statistical modelling, simulation, optimisation, data analysis, or geospatial/network analysis

• Excellent written and spoken English skills

• Knowledge of German or another European language is an asset but not required