The Norwegian University of Science and Technology (NTNU) is inviting applications for a fully funded PhD Candidate position in Optimization and Decision Support for Resilient Transport Systems. This doctoral fellowship offers an excellent opportunity to conduct cutting-edge research in operations research, mathematical modeling, and intelligent transportation networks in Norway.
Overview of the Position
| Field | Details |
|---|---|
| Position / Designation | PhD Candidate / Doctoral Research Fellow |
| Host Institution | Norwegian University of Science and Technology (NTNU) |
| Research Area | Optimization, Operations Research, Decision Support Systems, Resilient Transport |
| Location | Trondheim, Norway |
| Employment Type | Full-time, Fixed-term (3 to 4 years) |
| Application Deadline | Check official portal (Jobbnorge ID: 310777) |
Research Area
The research project focuses on the development of advanced mathematical optimization models, algorithms, and decision-support tools tailored for resilient transport systems. Candidates will work on addressing disruptive events, network vulnerabilities, efficiency improvements, and sustainable transport logistics using techniques from operations research, computational optimization, and data analytics.
Scholarship Description and Benefits
As an employed PhD candidate at NTNU, the successful applicant will benefit from Norway’s competitive academic working conditions, which typically include:
- A competitive salary according to the Norwegian state salary scale for PhD research fellows.
- Membership in the Norwegian Public Service Pension Fund (Statens pensjonskasse), offering beneficial pension and loan terms.
- Access to world-class research facilities, mentorship, and international academic collaboration networks.
- Generous employee welfare policies, including paid leave, health coverage, and parental leave.
Eligibility and Qualifications
Applicants are expected to meet the following criteria:
- Academic Degree: A master’s degree (or equivalent 5-year degree) in Industrial Engineering, Operations Research, Applied Mathematics, Computer Science, Transport Engineering, or a closely related discipline with strong academic results.
- Technical Skills: Proven background in mathematical modeling, optimization algorithms, and proficiency in programming languages such as Python, C++, Julia, or specialized solvers (e.g., Gurobi, CPLEX).
- Language Proficiency: Excellent written and spoken English communication skills.
- Analytical Capability: Strong analytical skills, self-motivation, and the ability to work both independently and collaboratively within an interdisciplinary research team.
How to Apply
Applications must be submitted electronically through the Jobbnorge portal. Interested candidates should prepare and upload the following documents:
- A cover letter detailing motivation, research interests, and suitability for the project.
- A comprehensive Curriculum Vitae (CV).
- Certified copies of bachelor’s and master’s degree certificates and official academic transcripts.
- Master’s thesis or other relevant scientific writing samples.
- Contact details of at least two academic referees.
Last Date to Apply
Candidates are encouraged to submit their applications promptly before the closing deadline specified on the recruitment portal. Please review the official listing for updates regarding the final submission date.
Apply Link
For more details and to submit your application online, please visit the official job opening: NTNU Jobbnorge Application Portal.
