PhD in Multimarket Bidding Decision Support in Nordic Power Markets in NTNU Norwegian University of Science and Technology – Norway

Summary

NTNU Norwegian University of Science and Technology is seeking a highly motivated PhD candidate for a full-time, 3-year position in Multimarket Bidding Decision Support in Nordic Power Markets. The project is part of the Norwegian Centre on AI for Decisions (aiD) and focuses on developing trustworthy AI-supported methods for sequential bidding decisions under uncertainty in power markets, integrating wind power and battery storage. The role involves high-quality research, academic training, publications, and participation in international activities. Applicants should have a relevant Master's degree with a strong academic background (B grade or better) and English language proficiency at B2 level. The gross annual salary is NOK 580,000. The application deadline is October 12, 2026.

Key Facts

Department	Department of Electric Energy
Position Type	PhD Candidate
Discipline	Computer science
Research Area	Multimarket Bidding Decision Support in Nordic Power Markets
Degree Required	Master's degree in electrical power engineering, control engineering, managerial economics with strong quantitative skills, or physics or mathematics with a specialization in operations research
Experience	Work and/or research experience in electricity and power markets, imbalance forecasting, reinforcement learning, and operations research or optimization; excellent programming and modeling skills
Salary	NOK 580,000 per annum
Contract Duration	3 years, with the possibility of an additional 3 to 12 months for career-enhancing activities
Language	English
Deadline	2026-10-12

About the Project

The PhD project, part of the Norwegian Centre on AI for Decisions (aiD), aims to develop trustworthy AI-supported methods for multimarket bidding and decision support in Nordic power markets. It addresses the complexities arising from integrating wind power and battery storage, requiring coordinated decisions across various electricity markets under uncertainty. The research will combine AI and mathematical optimization to support sequential bidding decisions, focusing on incorporating probabilistic forecasts, market-state information, and the future value of battery flexibility. A key scientific question is to determine the optimal division of tasks between data-driven learning and structured optimization. The candidate will develop and validate methods based on deep reinforcement learning, stochastic optimization, and hybrid approaches, initially testing them for coordinated day-ahead and mFRR market participation.

Key Responsibilities

• Carry out high-quality research within the project framework
• Participate in activities of the EMESP research group
• Complete academic training (minimum 30 ECTS coursework)
• Contribute to publications in relevant journals and popular science dissemination
• Participate in international activities such as conferences and/or research stays
• Be prepared for changes to work duties after employment

Required Skills

• Relevant Master's degree in electrical power engineering, control engineering, managerial economics (with strong quantitative skills), or physics/mathematics (with specialization in operations research)
• Strong academic background from previous studies (average grade B or better from Master's degree)
• English language skills (written and spoken) corresponding to B2 CEFR
• Strong motivation, curiosity, and a learning-oriented mindset
• Ability to work independently, take initiative, and maintain good structure and discipline
• Effective communication and collaboration skills with supervisors and peers
• Resilience and constructive work ethic when facing challenges
• Integrity and strong sense of responsibility in research conduct

Who Should Apply

This position is suitable for individuals with a Master's degree in electrical power engineering, control engineering, managerial economics (with strong quantitative skills), or physics/mathematics (with a specialization in operations research). Ideal candidates will have a strong academic record (B grade or better), English language proficiency (B2 CEFR), and an interest in energy systems, markets, AI, and mathematical optimization. Work or research experience in electricity markets, imbalance forecasting, reinforcement learning, or optimization, along with strong programming skills, are preferred.

Benefits

• Exciting job with an important mission in society
• Developing tasks in a strong and international professional environment
• Career guidance and follow-up during the PhD period
• Open and inclusive working environment with committed colleagues
• Social activities organized by PhD Students
• Weekly social gathering on Fridays (Friday coffee)
• Working capital for project implementation
• Mentor programme for new employees at NTNU
• Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK)
• Free Norwegian language training at a basic level (A2)
• Access to employee benefits

About the Employer

NTNU is a broad-based university with a technical-scientific profile, focusing on professional education. It is located in three cities, with its headquarters in Trondheim. The university has 9,000 employees and 43,000 students, working to create knowledge for a better world. It values diversity and aims to be an employer that reflects societal diversity, striving for an equal, diverse, and gender-balanced organization.

Frequently Asked Questions

What is the duration of the PhD position?

The employment period is 3 years, with a possibility of an additional 3 to 12 months for career-enhancing activities.

What is the required academic background for this position?

Applicants must have a relevant Master's degree in electrical power engineering, control engineering, managerial economics (with strong quantitative skills), or physics/mathematics (with a specialization in operations research), with an average grade of B or better from their Master's degree.

What is the salary for the PhD Candidate position?

The gross salary will normally be NOK 580,000 per annum, with a 2% statutory contribution to the State Pension Fund deducted.

Is English language proficiency required?

Yes, applicants must have English language skills, both written and spoken, corresponding to the B2 level in the Common European Framework of Reference for Languages (CEFR).

What kind of research will the PhD project involve?

The project will develop trustworthy AI-supported methods for multimarket bidding and decision support in Nordic power markets, focusing on combining AI and mathematical optimization for sequential bidding decisions under uncertainty, particularly for wind power operators with battery storage.

Are there opportunities for career development during the PhD?

Yes, the position offers valuable experience for a career in higher education and research, and career-enhancing work such as teaching contributions, supervision, and examination work may be offered to motivated candidates.