PhD Candidate: AI for Nordic Power Markets

Norges teknisk-naturvitenskapelige universitet (NTNU); Trondheim; On-site; NOK 522,000 - 638,000; Full time

Benefits offered by this job

Mentor programme

Favourable pension terms

Free Norwegian language training

Job summary

NTNU's Department of Electric Energy invites applications for a full-time PhD position in aiD at NTNU's EMESP research group. The project focuses on AI-enabled decision support for Nordic power markets, with an emphasis on trustworthy AI and optimization in day-ahead and balancing markets.

The PhD candidate will train under a structured doctoral program, publish results, and collaborate with international partners. The role offers an engaging, inclusive environment and strong career development.

Qualifications

• Master's degree in electrical power engineering, control engineering, or related field with 120 credits at master's level.
• Must have completed or be on track to complete a five-year Norwegian course by autumn 2026.
• English language skills at CEFR B2 or higher.

Responsibilities

• Carry out research of high quality within the framework described above
• Participate in activities of the EMESP research group
• Complete academic training consisting of coursework corresponding to a minimum 30 ECTS
• Contribute to publications in relevant journals and to popular science dissemination
• Participate in international activities such as conferences and/or research stays at foreign educational institutions

Skills

English language skills (B2)

Python

Julia

Education

Master's degree in Electrical Power Engineering / Control Engineering / related field

Master's degree with 120 credits (5-year Norwegian course)

Tools

Python

Julia

Job description

NTNU's Department of Electric Energy invites applications for a full-time PhD position in aiD at NTNU's EMESP research group. The project focuses on AI-enabled decision support for Nordic power markets, with an emphasis on trustworthy AI and optimization in day-ahead and balancing markets.

The PhD candidate will train under a structured doctoral program, publish results, and collaborate with international partners. The role offers an engaging, inclusive environment and strong career development.