UiT The Arctic University of Norway
1 week ago
PhD Fellow in AI-Automated Voltage Control for Future Distribution Networks UiT The Arctic University of Norway in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
Three-year PhD position with salary normally 580,000 NOK/year plus a 3% yearly increase. Includes state collective pay agreement, pension scheme through the Norwegian Public Service Pension Fund, and employee health-care coverage via the National Insurance Scheme. The position is fixed-term and full-time.
Deadline
Sep 30, 2026
Country
Norway
University
UiT The Arctic University of Norway
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About this position
PhD Fellow in AI-Automated Voltage Control for Future Distribution Networks at UiT The Arctic University of Norway (Faculty of Engineering Science and Technology, Department of Electrical Engineering).
This PhD project focuses on electrical engineering, smart grids, distribution networks, machine learning, reinforcement learning, optimization, and control theory. The research aims to develop advanced AI-based, automated fast-control strategies for voltage control in future distribution grids with high uncertainty, distributed energy resources, electric vehicles, and flexible loads.
The project will explore scalable control structures for multiple voltage-regulating devices and DERs, combining rapid local decision-making with supervisory control. Validation will include offline simulations, real-time digital simulators, hardware-in-the-loop experiments, and cyber-physical co-simulation.
Eligibility: applicants need a relevant master’s degree or equivalent in electrical/power systems fields, or be near completion. Admission to the PhD programme is required. English proficiency must be documented; Norwegian or Scandinavian language skills are beneficial.
Funding: full-time, three-year PhD fellowship with a salary normally of 580,000 NOK/year plus annual increase, and standard public pension/benefits.
Application: deadline is 2026-09-30. Apply via Jobbnorge and include a cover letter, CV, diplomas/transcripts, proof of language proficiency, references, master’s thesis, and a 4-page project description.
Work location: UiT in Narvik, Norway.
Funding details
Three-year PhD position with salary normally 580,000 NOK/year plus a 3% yearly increase. Includes state collective pay agreement, pension scheme through the Norwegian Public Service Pension Fund, and employee health-care coverage via the National Insurance Scheme. The position is fixed-term and full-time.
What's required
Applicants must have a master’s degree or equivalent in Electrical Engineering, Electrical Power Engineering, Electrical Power Systems, Electrical Energy Systems, Electrical Power and Smart Grids, Smart Grids, or Power and Energy Systems, or be near completion of the degree. Admission to the PhD programme is required, including a bachelor’s degree of 180 ECTS and a master’s degree of 120 ECTS or an integrated master’s degree of 300 ECTS, with a master’s thesis of at least 30 ECTS (or 20 ECTS for an integrated degree). Applicants must document fluency in English; Nordic applicants may document this with a high school diploma. Working knowledge of Norwegian or another Scandinavian language is beneficial. Desirable experience includes power system analysis and distribution networks, MATLAB/Simulink, DIgSILENT PowerFactory, OpenDSS, Python, optimization, control theory, machine learning or reinforcement learning, real-time simulation, hardware-in-the-loop testing, or cyber-physical systems. Applicants should also show motivation, collaboration skills, communication skills, and suitability for research training.
How to apply
Apply through Jobbnorge by the deadline and include all required documents in English or a Scandinavian language. Submit a cover letter, CV, diplomas and transcripts, translations if needed, grading explanation for foreign education, proof of English proficiency, optional Norwegian/Scandinavian proof, references, master’s thesis, any academic works, and a project description of max 4 pages. The application is assessed only on submitted materials.
More information can be found here
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