PhD Candidate: Multi-Hazard Transport Resilience & ML

NTNU Norwegian University of Science and Technology; Norway; On-site; NOK 522,000 - 638,000; Full time

Benefits offered by this job

Free Norwegian language training

Job summary

NTNU Norwegian University of Science and Technology invites applications for a PhD Candidate position within the STRIDE initiative. The project focuses on hybrid multi-hazard frameworks bridging physics-based simulations with data-driven methods to quantify how climate-related hazards affect transport networks.

The successful candidate will pursue a doctoral degree over four years, conduct high-quality research, publish findings, and engage in teaching and supervision activities as part of the

Qualifications

• Master’s degree in civil engineering or equivalent with a major independent project (minimum 30 ECTS) equivalent to a master’s thesis.
• Master students may apply, but the master’s degree must be obtained and documented before starting and no later than August 2027.
• Strong/adequate academic background with grade equal to B or better compared to NTNU grading scale; if no letter grades, document equally good academic foundation.
• Good written and oral communication skills in English.

Responsibilities

• Complete the doctoral education until obtaining a doctorate.
• Carry out research of good quality within the described framework.
• Publish academically and disseminate popular science.
• Participate in international activities such as conferences or research stays at foreign institutions.
• Teaching duties amounting to 25% of time during a 4-year period.
• Contribute to supervision activities if required.

Skills

English proficiency

Independent work

Structured work habits

Communication skills

Education

Master’s degree in civil engineering

Master’s degree earned by Aug 2027

Tools

GIS

Scientific programming

Numerical modeling

Job description

NTNU Norwegian University of Science and Technology invites applications for a PhD Candidate position within the STRIDE initiative. The project focuses on hybrid multi-hazard frameworks bridging physics-based simulations with data-driven methods to quantify how climate-related hazards affect transport networks.

The successful candidate will pursue a doctoral degree over four years, conduct high-quality research, publish findings, and engage in teaching and supervision activities as part of the