Publisher
source

University of Oslo

PhD Research Fellow in Computer Science / AI for Energy Informatics University of Oslo in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded full-time PhD Research Fellow position for 3 years, with possible extension up to 4 years depending on candidate and teaching needs. Salary is NOK 550,800–595,000 depending on competence and experience.

Deadline

Expired

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Country

Norway

University

University of Oslo

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Keywords

Computer Science
Machine Learning
Environmental Science
Electrical Engineering
Information Technology
Mathematics
Artificial Intelligence
Game Theory
Explainable Ai
Optimisation
Renewable Energy Systems

About this position

PhD Research Fellow position in computer science / AI for energy informatics at the Department of Informatics (IFI), University of Oslo, within the Energy Informatics / ND Networks and Distributed Systems group.

The project is part of the Norwegian National AI Centre on AI for Decisions (aiD) and focuses on edge intelligence, multi-agent AI, game-theoretic decision making, optimization, explainable AI, privacy-preserving and computation-efficient methods, and compliance-by-design AI for energy systems. Application areas include demand response, transactive energy / peer-to-peer trading, renewable integration, and distribution grid resilience.

This is a fully funded full-time PhD position for 3 years, with a possible extension up to 4 years depending on candidate profile and teaching needs. The salary range is NOK 550,800–595,000. The work location is Oslo, Norway.

Eligibility highlights: Master’s degree in Electrical Engineering, Communication Engineering, Computer Science, or another relevant discipline; a Master’s thesis; strong mathematical foundations in optimization and game theory; AI/ML background; knowledge of energy systems / energy informatics / edge intelligence; strong programming skills in Python, Java, C/C++, or equivalent; fluent English. Strong grades are expected, and the master’s thesis should normally be B or better in the Norwegian grading system.

How to apply: Submit a cover letter, CV, diplomas and transcripts, three recommendation letters, three references, English proficiency documentation if needed, and a publication list through Jobbnorge. Foreign applicants should include an official explanation of their grading system and use Vitnemålsportalen if available.

Deadline: 15 August 2026.

Funding details

Fully funded full-time PhD Research Fellow position for 3 years, with possible extension up to 4 years depending on candidate and teaching needs. Salary is NOK 550,800–595,000 depending on competence and experience.

What's required

Applicants need a Master’s degree (or foreign equivalent) in Electrical Engineering, Communication Engineering, Computer Science, or another relevant discipline, with a Master’s thesis. Candidates should have solid mathematical foundations in optimization, game theory, and AI/ML, with explainable AI considered valuable. Background or knowledge in energy systems, energy informatics, and edge intelligence is required, along with strong data analytics and machine learning skills, especially distributed ML. Very good programming competence in Python, Java, C/C++, or equivalent is required, as well as fluent oral and written English. The post also prefers publications, excellent presentation skills, and experience in cross-disciplinary or international teams. Grade expectations are high, with strong bachelor’s and master’s results and a master’s thesis grade of B or better in the Norwegian system.

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