Synergizing Transport Resilience, Infrastructure and Defense in Extremes (STRIDE) - 4 PhD Candidate positions

NTNU - Norwegian University of Science and Technology Institutt for bygg- og miljøteknikk Trondheim, Norway

About the position

Synergizing Transport Resilience, Infrastructure and Defense in Extremes (STRIDE)

4 PhD Candidate positions within

This is NTNU

NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.

At NTNU, 8,6000 employees and 44,000 students work to create knowledge for a better world.

You will find more information about working at NTNU and the application process here.

A More Resilient Society

How do we build a society that is resilient to crises, attacks, and unexpected shocks? A More Resilient Society is a major strategic initiative at NTNU that requires interdisciplinarity and innovative thinking to address complex and socially relevant challenges. A total of 16 PhD candidates will work across faculties and academic communities within the fields of critical societal infrastructure and health preparedness. The aim is to support research that challenges established assumptions and contributes to a safer and more resilient society.

Synergizing Transport Resilience, Infrastructure and Defense in Extremes

STRIDE (Synergizing Transport Resilience, Infrastructure and Defense in Extremes) is one of the projects under the More Resilient Society initiative. STRIDE is a multidisciplinary research project developing a dynamic, multi-risk modeling framework to enhance the resilience of Norway's transport infrastructure against converging climate-driven hazards, such as severe floods and landslides, and geopolitical threats, including targeted sabotage. Moving beyond traditional, brittle "fail-safe" design paradigms, STRIDE operationalizes a "safe-to-fail" approach focused on maintaining critical transport functionality through graceful degradation and rapid recovery across the entire disaster management cycle. As a PhD candidate, you will work within a collaborative, cross-faculty team spanning civil engineering, artificial intelligence, operations research, and science and technology studies.

The project consists of four PhD projects:

1. PhD Candidate on Impacts of Interdependent Multi-Hazards on Transport Systems

2. PhD Candidate in Machine Learning for Temporal and Spatiotemporal Data

3. PhD Candidate in Optimization and Decision Support for Resilient Transport Systems

4. PhD Research Fellow in Science and Technology Studies (STS)

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