Summary
The Department of Electric Energy at the Norwegian University of Science and Technology (NTNU) invites applications for a 3-year full-time PhD position focusing on AI-supported long-term hydropower scheduling. This position forms part of the Norwegian Centre on AI for Decisions (AID) and aims to develop trustworthy AI-supported methods for advanced optimization models in energy systems planning.
Designation
PhD Candidate (Code 1017)
Table of Details
| Employer | NTNU – Norwegian University of Science and Technology |
|---|---|
| Department | Department of Electric Energy |
| Location | Trondheim, Norway (Høgskoleringen 1, 7491 Trondheim) |
| Duration | 3 years (Temporary, full-time) |
| Gross Salary | Normally NOK 580,000 per annum depending on qualifications |
| Last Date to Apply | 19th October 2026 |
Research Area
Electrical Power Engineering, AI for Decision-Making, Operations Research, Stochastic Optimization, and Energy System Planning.
Location
Trondheim, Norway
Eligibility / Qualifications
- A relevant Master’s degree in electrical power engineering, computer science, control engineering, chemistry, managerial economics (with strong quantitative skills), or physics or mathematics with a specialization in operations research. Your course of study must correspond to a five-year Norwegian course, with 120 credits obtained at the master’s level. (Master’s students can apply, but the degree must be obtained no later than autumn 2026).
- A strong academic background with an average grade from your Master’s degree corresponding to B or better compared to NTNU’s grading scale.
- Must meet the requirements for admission to the Faculty’s Doctoral Programme in Electric Power Engineering.
- Experience with optimization modelling and numerical optimization tools (e.g., JuMP, Pyomo, Gurobi, CPLEX, HiGHS) is considered an important qualification.
- English language skills corresponding to at least level B2 in the CEFR scale.
Scholarship Description
As a PhD candidate hosted in the Electricity Markets and Energy Systems Planning (EMESP) group, you will contribute to the Norwegian Centre on AI for Decisions (AID) by developing trustworthy AI-supported methods for long-term hydropower scheduling. The project focuses on combining established stochastic optimization with AI-based learning to represent the future value of stored water more accurately when hydropower production is nonlinear.
Duties include carrying out high-quality research, participating in EMESP research group activities, completing coursework equivalent to at least 30 ECTS, contributing to publications, and participating in international conferences or research stays.
How to Apply
Applications must be submitted electronically via Jobbnorge.no. The application package must include:
- A cover letter explaining personal motivation, summarizing scientific work, and detailing fitness for the role (max 400 words/1 page).
- A project outline containing research questions, theoretical perspectives, methodological design, and a progress plan (max 1500 words/4 pages).
- CV.
- Testimonials of work experience (if applicable).
- Transcripts and diplomas for Bachelor’s and Master’s degrees.
- A copy of the Master’s thesis or a draft/estimated submission date confirmation.
- Publications or relevant research work (if applicable).
- Documentation of English language proficiency.
- Names and contact information of three referees.
Last Date for Apply
19th October 2026
Apply Link
Apply for this job on Jobbnorge
