University of Stavanger
Just Landed
2 days ago
PhD Fellowship in Energy Systems and Artificial Intelligence University of Stavanger in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
Three-year PhD fellowship with pure research training. Salary is in accordance with the State Salary Scale, code 1017, NOK 580,000 gross per year, with salary progression during the employment period. A statutory 2% contribution is deducted for membership in the Norwegian Public Service Pension Fund. Includes pension and insurance schemes, free Norwegian language courses, relocation support, health services, parental leave arrangements, and other welfare benefits.
Deadline
Nov 15, 2026
Country
Norway
University
University of Stavanger
How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
University of Stavanger is advertising a PhD Fellowship in Energy Systems and Artificial Intelligence at the Faculty of Science and Technology, Department of Energy and Petroleum Engineering.
The project sits at the intersection of energy systems, artificial intelligence, machine learning, forecasting, optimization and control, and digital twins, with shallow geothermal energy as a central research area. The successful candidate will work in an applied research environment using the university’s Energy Central living laboratory, including geothermal boreholes, large-scale heat pumps, thermal storage, boilers, and advanced monitoring infrastructure.
This is a three-year PhD position leading to a doctoral degree. The work is primarily carried out at the University of Stavanger in Norway, and the candidate must be able to reside locally and participate regularly in the academic environment.
Eligibility highlights: applicants need a five-year master’s degree or equivalent in a relevant field such as mechanical engineering, energy engineering, thermal engineering, process engineering, or computer science with energy applications. A strong academic record is required, including a master’s thesis grade and weighted average corresponding to B or better. The post also asks for strong knowledge of energy systems, AI/ML, mathematical modeling, programming, software development, analytical skills, and excellent English.
Funding and benefits: salary follows the Norwegian State Salary Scale, code 1017, at NOK 580,000 gross per year with progression during employment. The position includes pension membership, insurance schemes, free Norwegian language courses, relocation support, health services, parental leave, and other welfare benefits.
Application materials: a preliminary project proposal is required, along with CV, diploma/transcripts, grade conversion documentation if needed, English language proof if required, publications, and references. Applications must be submitted through Jobbnorge before the deadline.
Deadline: 15 November 2026.
Funding details
Three-year PhD fellowship with pure research training. Salary is in accordance with the State Salary Scale, code 1017, NOK 580,000 gross per year, with salary progression during the employment period. A statutory 2% contribution is deducted for membership in the Norwegian Public Service Pension Fund. Includes pension and insurance schemes, free Norwegian language courses, relocation support, health services, parental leave arrangements, and other welfare benefits.
What's required
Applicants must hold a five-year master's degree or equivalent in a relevant field, preferably recently completed. Relevant backgrounds include mechanical engineering, energy engineering, thermal engineering, process engineering, computer science with a focus on energy applications, or closely related disciplines. The master's thesis grade and weighted average must both correspond to B or better. Required qualifications include strong knowledge of energy systems and energy technologies, solid understanding of AI/ML and data-driven modeling, documented experience in mathematical modeling, programming and software development, strong analytical and problem-solving skills, and excellent written and oral English. Experience with AI-based optimization and control, digital twins, forecasting, energy market analysis, techno-economic assessment, or real-world energy projects is an advantage. English proficiency is required unless an exemption applies.
How to apply
Apply through the Jobbnorge portal by clicking the application button on the posting. Register your education, work experience, and language skills, and upload the required documents including a project proposal, CV, diploma/transcripts, grade conversion documentation if needed, English test proof if needed, publications, and references. Submit everything in English or a Scandinavian language before the deadline.
More information can be found here
Ask ApplyKite AI
How do I apply for this?
Sign in for free to reveal details, requirements, and source links.