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Norwegian Institute of Science and Technology

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PhD Candidate in Hybrid AI-Optimization for Dynamic and Stochastic Transport Operations Norwegian University of Science and Technology in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 16, 2026

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Country

Norway

University

Norwegian Institute of Science and Technology

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Keywords

Computer Science
Machine Learning
Information Technology
Mathematics
Operations Research
Transport
Industrial Engineering
Logistics Management
Stochastic Programming
Job Scheduling
Optimisation
Routing
Decision Support System

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About this position

NTNU (Norwegian University of Science and Technology) is advertising a PhD Candidate position in Hybrid AI-Optimization for Dynamic and Stochastic Transport Operations at the Department of Industrial Economics and Technology Management in Trondheim, Norway.

The project sits at the intersection of artificial intelligence, machine learning, optimization, operations research, transport planning, and logistics. The research aims to develop AI-supported decision methods for routing and scheduling under uncertainty, with real-world validation in public transport and logistics settings. The main application domain is public transport planning with AtB, and additional case studies may involve Posten Bring, Bama, and Oda.

The PhD candidate will work in the Norwegian Centre on AI for Decisions (aiD), alongside NTNU and SINTEF researchers, and will be hosted in the Managerial Economics, Finance and Operations Research (BEDØK) group. The position offers collaboration with academic and industry partners and the possibility of research stays at international universities.

Eligibility highlights: a relevant master’s degree with strong grades; background in operations research, computer science, AI/ML, applied mathematics, or quantitative engineering; documented competence in optimization, operations research, or machine learning. Preferred skills include mixed-integer linear programming, stochastic programming, meta-heuristics, algorithm development, and programming in Python, Julia, or C++.

Funding and terms: this is a salaried PhD employment at NTNU, with a salary of NOK 550,800 per year before tax (code 1017). The appointment lasts 3 years and does not include required teaching duties. Admission to the NTNU PhD programme at the Faculty of Economics and Management is required.

Application deadline: 2026-08-16. Applicants must submit a motivation letter, a one-page research plan, CV, diplomas/certificates, scientific works including the master thesis, and contact details for three references.

Contact persons: Associate Professor Steffen Jaap Skotvoll Bakker, Professor Magnus Stålhane, and Research Manager Torkel Haufmann.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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