PhD Researcher: Resilient Transport Optimization

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

Benefits offered by this job

International academic environment

Opportunities for research stays

Good pension scheme

Language courses

Job summary

NTNU Norwegian University of Science and Technology invites applications for a PhD position in the Department of Industrial Economics and Technology Management, Trondheim. The project aims to develop optimization methods for resilient multimodal transport systems, integrating dynamic models and machine learning under uncertainty.

You will collaborate with partners like Bane NOR, Statens vegvesen, and FFI, balancing efficiency, redundancy, and societal needs while pursuing high-quality research

Qualifications

• Master’s degree in a relevant field with strong academic results (B or better).
• Backgrounds include: Operations research/optimization, Applied mathematics, Industrial engineering, Transport or logistics, Engineering with quantitative content.
• Competence in mathematical optimization and related quantitative methods.
• Excellent English oral and writing skills.

Responsibilities

• Conduct original scientific research related to the project topic.
• Develop optimization models and decision-support methods for resilient transport systems.
• Publish research results in leading international journals and conferences.
• Collaborate with academic and industry partners.
• Integrate dynamic transport models and ML surrogates into optimization methods.
• Complete the required coursework as part of the PhD programme.
• Contribute to dissemination and communication of research results.

Skills

Operations research

Optimization

Industrial engineering

Transport/logistics

Quantitative methods

English proficiency

Education

Master's degree in a relevant field

Tools

Python

Julia

C++

Job description

NTNU Norwegian University of Science and Technology invites applications for a PhD position in the Department of Industrial Economics and Technology Management, Trondheim. The project aims to develop optimization methods for resilient multimodal transport systems, integrating dynamic models and machine learning under uncertainty.

You will collaborate with partners like Bane NOR, Statens vegvesen, and FFI, balancing efficiency, redundancy, and societal needs while pursuing high-quality research