Aida Omerovic
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PhD Research Fellow in Systems Engineering – Learning Ecosystem University of South-Eastern Norway in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
Funded PhD research position with salary in accordance with the Norwegian State salary scale for PhD research fellows (position code 1017), NOK 550,800. A four-year appointment with 25 % career-advancing work may be considered. The centre is funded by the Research Council of Norway.
Deadline
Dec 15, 2026
Country
Norway
University
University of South-Eastern Norway
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University of South-Eastern Norway
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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...
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About this position
This PhD research fellow position is based at the Department of Science and Industry Systems, University of South-Eastern Norway, campus Kongsberg. The project sits within SFI CELECT – the Centre for Effective Engineering and Learning in Complex Systems – and links the candidate to a wider doctoral and research network across USN, NTNU, and the University of Agder. The fellow will also be part of the Industrial Research School in Complex Systems (INRESCOS) and the Norwegian Industrial Systems Engineering Research Group (NISE).
The doctoral project focuses on how Norwegian industry can build and develop competencies for systems engineering, AI, and business innovation. The aim is to develop and validate a competency framework and translate it into work-integrated learning for industry. The student will work with CELECT partner companies and academic collaborators to explore competency gaps, effective learning formats for engineers, and ways universities and companies can co-develop learning that has lasting impact.
The research is strongly applied and collaborative. The successful candidate will work closely with companies through interviews, surveys, workshops, and pilot courses, and will help shape the final research questions together with the supervisory team and industry partners. The project is embedded in a technology-rich environment at Kongsberg, with connections to major industrial sectors including maritime, defence, aerospace, energy, and subsea technology.
The position is part of a larger centre effort that aims to feed results directly into training for engineers across partner organisations. The candidate will contribute to research outputs, participate in common workshops and learning events, and engage in international activities such as conferences and research stays abroad.
The project therefore combines systems engineering with competence development, learning design, and industry engagement in a setting where research and practice are intended to inform each other closely.
Funding details
Funded PhD research position with salary in accordance with the Norwegian State salary scale for PhD research fellows (position code 1017), NOK 550,800. A four-year appointment with 25 % career-advancing work may be considered. The centre is funded by the Research Council of Norway.
What's required
Applicants must have a master's degree (120 ECTS) within Systems Engineering, an engineering discipline, industrial economics and technology management, computer science, or a closely related field. They must have documented knowledge of relevant methodologies at master's level, a weighted average grade of B or higher on the master's degree and thesis, and the master’s thesis must have been submitted for assessment by the application deadline and approved before starting. Applicants should preferably have knowledge of systems engineering and/or business model innovation, competency frameworks, engineering education, workplace learning or learning analytics, and AI in engineering, as well as industrial experience from Norwegian industry and/or teaching. Excellent written and oral English is required; proficiency in a Scandinavian language or Norwegian at level B2 is preferred. Applicants must also meet the formal requirements for admission to USN’s doctoral programmes within three months after starting, and must meet requirements for authorization for restricted/export licence and security clearance. A motivation letter is required, and the application must include diplomas, approval documentation from HK-dir if relevant, language documentation if relevant, publications, references, and a passport copy.
How to apply
Apply electronically through Jobbnorge via the application link. Upload certified bachelor’s and master’s diplomas, HK-dir approval if applicable, grading explanation if relevant, a motivation letter, language proof if relevant, publication list, references, and a passport copy. Submit before the deadline and ensure your application clearly addresses the competence requirements.
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Professors
Professor at University of South-Eastern Norway
Norway
Research Interests
Management
Renewable Energy Systems
Information Technology
Industrial Engineering
Computer Science
Professor at University of South-Eastern Norway
Norway
Research Interests
Artificial Intelligence
Renewable Energy Systems
Systems Engineering
Computer Science
Information Technology
Professor at University of South-Eastern Norway
Norway
Research Interests
Industrial-organizational Psychology
Organizational Behavior
Systems Engineering
Petri Net
Continuous Improvement
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
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