PhD Fellow: Railway Resilience & Decision Support

Rajnish Calay; Narvik; On-site; NOK 580,000 - 615,000; Full time

Benefits offered by this job

Flexible working hours

State collective pay agreement

Pension scheme with state fund

Job summary

UiT The Arctic University of Norway in Narvik is seeking a PhD candidate to join the BEaM research group focusing on railway resilience under environmental stress. The position spans four years with a teaching component in the final year, and admission to the PhD programme is required for employment.

The project links infrastructure robustness, environmental vulnerability, and operational decision-making, and involves collaboration with railway stakeholders to deliver both scientific and

Qualifications

• Master’s degree (or equivalent) in civil engineering, industrial engineering, transport/railway engineering, mechanical engineering, systems engineering, or other relevant disciplines.
• Strong academic record and demonstrated ability for independent research and analytical work.
• Solid foundation in quantitative methods (e.g. statistics, modelling, optimisation, or system analysis).
• Background in infrastructure/transport systems, risk, reliability, or resilience analysis, data analysis and computational modelling / programming (Python, MATLAB, R) and modelling of complex systems.

Responsibilities

• Submit a short proposal (max 2 pages) describing understanding of the problem and proposed solution.
• Carry out research in hazard-driven vulnerability, exposure mapping, and risk-informed decision support for railway systems.
• Collaborate with stakeholders in the railway sector and validate results in an operational setting.

Skills

Quantitative methods

Independent research

Statistics

Modelling

Python

MATLAB

R

Complex-systems analysis

Education

Master’s degree in civil/industrial/transport engineering

Tools

Python

MATLAB

R

Job description

UiT The Arctic University of Norway in Narvik is seeking a PhD candidate to join the BEaM research group focusing on railway resilience under environmental stress. The position spans four years with a teaching component in the final year, and admission to the PhD programme is required for employment.

The project links infrastructure robustness, environmental vulnerability, and operational decision-making, and involves collaboration with railway stakeholders to deliver both scientific and