Kristin Falk
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PhD Research Fellow in Systems Engineering – Changeability and Affordability University of South-Eastern Norway in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
PhD research fellow position with salary according to the Norwegian State salary scale; listed salary is NOK 550,800. Three-year educational position with pure organised research training; a four-year appointment with 25% career-advancing work may be considered.
Deadline
Dec 15, 2026
Country
Norway
University
University of South-Eastern Norway
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University of South-Eastern Norway
Norway
New Today
This PhD research fellow position at the University of South-Eastern Norway is part of SFI CELECT – the Centre for Effective Engineering and Learning in Complex Systems – and the Industrial Research School in Complex Systems (INRESCOS) . The project is based at campus Kongsberg and is embedded in a large collaborative environment linking USN, NTNU and the University of Agder with leading industrial partners in Norway. The doctoral project focuses on developing and validating a competency framewo...
New Today
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University of South-Eastern Norway
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About this position
This PhD Research Fellow position is based in the Department of Science and Industry Systems at the University of South-Eastern Norway, campus Kongsberg, and is embedded in the wider SFI CELECT centre and the Norwegian Industrial Systems Engineering Research Group (NISE). The project focuses on life-cycle perspectives on system qualities, especially how long-living energy, infrastructure, and defence systems can remain changeable and affordable to update over decades.
The research addresses a practical systems problem: early architecture decisions strongly influence how easily a system can be modified later, while information about the built system is often lost across handovers and during operation. The PhD will investigate how lightweight architecting, the digital thread, and AI can connect requirements, architecture, and operation across the life cycle, helping engineers reason about trade-offs between future changeability and life-cycle cost.
The project is positioned in a strong industrial ecosystem. SFI CELECT brings together USN, NTNU, and the University of Agder together with leading industrial partners, and this PhD will use industry as a laboratory through real cases with companies such as TechnipFMC, Glitre Nett, Herøya Industripark, and Forsvarsmateriell. The student will work closely with engineers and systems architects on development projects, and may also have a research stay abroad.
The academic environment combines doctoral training, collaborative research, and cross-institutional activity through CELECT and INRESCOS. The role is structured as organised research training leading toward the doctoral degree, with participation in courses, publications, workshops, and international research activity. The appointment is linked to systems engineering research with strong relevance to long-living technical systems and industrial practice.
Funding details
PhD research fellow position with salary according to the Norwegian State salary scale; listed salary is NOK 550,800. Three-year educational position with pure organised research training; a four-year appointment with 25% career-advancing work may be considered.
What's required
Applicants must hold a master's degree (120 ECTS credits) or equivalent in Systems Engineering, Systems Architecture, mechanical, electrical/energy, industrial or software engineering, or a similarly relevant engineering discipline. A documented knowledge of relevant methodologies at master's level is required, along with a weighted average grade of B or higher on the master’s degree and thesis. The master’s thesis must have been submitted for assessment by the application deadline and approved before starting. Applicants must meet the formal admission requirements for USN’s doctoral programmes and the doctoral programme in Technology (Systems Engineering) within three months of starting. Excellent written and oral English skills are required, with proof via an accepted English test unless exempt. Proficiency in Scandinavian language or Norwegian at B2 level is preferred. Understanding of and interest in AI/ML and data analysis, knowledge of requirements engineering, systems architecting, configuration management, digital thread or asset management, and industrial experience from energy systems, power grids or other long-living infrastructure or products are preferred. The applicant must also meet requirements for authorization for restricted access and for export licence/security clearance.
How to apply
Apply electronically through Jobbnorge using the application page. Upload certified diplomas, recognition documentation if your education is from outside Norway, an explanation of the grading system, a motivation letter, language documentation if relevant, publications, references, and a passport copy. Ensure all documents are submitted before the deadline.
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Professors
Professor at University of South-Eastern Norway
Norway
Research Interests
Artificial Intelligence
Asset Management
Computer Science
Systems Engineering
Information Technology
Professor at University of South-Eastern Norway
Norway
Research Interests
Industrial-organizational Psychology
Energy Engineering
Systems Thinking
Systems Engineering
Conceptual Modeling
Professor at University of South-Eastern Norway
Norway
Research Interests
Statistics
Artificial Intelligence
Systems Engineering
Information Technology
Computer Science
Professor at University of South-Eastern Norway
Norway
Research Interests
Renewable Energy Systems
Asset Management
Computer Science
System Architecture
Systems Engineering
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.