University of Oslo
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PhD Research Fellow in Control Theory and Optimization for Edge Computing University of Oslo in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
Three-year PhD fellowship, with a possible fourth year including 25% career-promoting work such as teaching, supervision, or research assistance. Salary is NOK 550,800–595,000 depending on competence and experience, with statutory pension contributions deducted.
Deadline
Nov 17, 2026
Country
Norway
University
University of Oslo
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About this position
PhD Research Fellow in Control Theory and Optimization for Edge Computing at the University of Oslo, Department of Technology Systems, Campus Kjeller, Norway.
This is a PhD opening in a project focused on real-time edge computing for control and AI in the maritime domain. The position is linked to the newly established Norwegian Maritime AI Centre and involves collaboration with other PhD candidates, researchers, and industry partners. The research environment emphasizes control theory, real-time optimization, autonomous systems, and applied AI/ML methods for physical systems.
Research interests/keywords: control theory, optimization, edge computing, machine learning, neural networks, reinforcement learning, maritime technology, autonomous systems, real-time systems.
Eligibility highlights: applicants should have a master’s degree or equivalent in applied mathematics, engineering, computer science, or control theory; strong English skills are required; and candidates must be in the upper segment of their class. Desired backgrounds include marine technology and AI, or transferable experience such as aerospace engineering, plus knowledge of optimization, control, and machine learning methods.
Academic requirements: bachelor’s average grade of C or better, master’s average grade of B or better, and master’s thesis grade of B or better in the Norwegian grading system. If the master’s degree is not yet completed, all requirements must be finished by 31 December 2026.
Funding: the fellowship runs for three years, with a possible fourth year including 25% career-promoting work such as teaching, supervision, or research assistance. Salary is NOK 550,800–595,000 depending on competence and experience.
Location: Department of Technology Systems, Campus Kjeller, near Oslo, Norway.
How to apply: apply via Jobbnorge and include a cover letter, CV, diplomas and transcripts, proof of English proficiency if applicable, a publication/work list, and 2–3 references. Foreign applicants must include an explanation of their grading system, and education results should be retrieved from Vitnemålsportalen if available.
Deadline: 17 November 2026.
Funding details
Three-year PhD fellowship, with a possible fourth year including 25% career-promoting work such as teaching, supervision, or research assistance. Salary is NOK 550,800–595,000 depending on competence and experience, with statutory pension contributions deducted.
What's required
Master’s degree or equivalent in applied mathematics, engineering, computer science, or control theory, with a foreign completed degree corresponding to at least four years in the Norwegian educational system. Applicants must have fluent oral and written English. Candidates who have not yet completed the master’s degree must finish all requirements by 31.12.2026. Desired qualifications include relevant experience in marine technology and AI or a transferable domain such as aerospace engineering, knowledge of control theory and optimization, and knowledge of machine learning methods such as neural networks and reinforcement learning. Applicants are expected to be in the upper segment of their class, with average grades of C or better at bachelor level, B or better at master level, and a master’s thesis grade of B or better.
How to apply
Apply through the Jobbnorge recruitment system by clicking “Apply for this job.” Submit a cover letter, CV, degree diplomas and transcripts, English proficiency documentation if applicable, a publication/work list, and contact details for 2–3 references. Foreign applicants should also attach an official explanation of their university’s grading system, and education results should be retrieved from Vitnemålsportalen if available.
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Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.