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Hossein Farahmand

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PhD in AI-Supported Long-Term Hydropower Scheduling at NTNU Norwegian University of Science and Technology in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Oct 19, 2026

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Country

Norway

University

Norwegian Institute of Science and Technology

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Keywords

Computer Science
Environmental Science
Electrical Engineering
Artificial Intelligence
Energy Engineering
Electricity Market
Optimisation
Statistics
Power System
Renewable Energy Systems
ML

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About this position

NTNU’s Department of Electric Energy is advertising a PhD position in AI-Supported Long-Term Hydropower Scheduling within the Electricity Markets and Energy System Planning (EMESP) research group.

The project focuses on how artificial intelligence, machine learning, and advanced optimization methods can improve long-term hydropower scheduling and decision-making in future renewable-dominated power systems. This is a strong fit for candidates interested in the intersection of electrical engineering, computer science, energy systems, electricity markets, and renewable energy.

Supervisor: Hossein Farahmand, Professor at the Department of Electric Energy, NTNU, is the main supervisor for the position.

Eligibility highlights: The post encourages applicants with a solid background in AI, machine learning, optimization, or related fields. The announcement states that qualified applicants from all nationalities and backgrounds are welcome, with emphasis on academic qualifications, motivation, research potential, and strong interest in the topic.

Location: NTNU, Trondheim, Norway.

Deadline: 19 October 2026.

How to apply: Use the official application link to access the full vacancy notice and submit your application through the recruitment portal. You can also review the EMESP research group page for more information about the group and its research focus.

Funding details

Available

What's required

Applicants should have a solid background in AI, machine learning, optimization, or related fields. The post emphasizes academic qualifications, motivation, research potential, and a strong interest in hydropower scheduling, electricity markets, and energy systems. Candidates from all nationalities and backgrounds are welcome.

How to apply

Read the full job announcement via the NTNU/Jobbnorge link and submit an application through the official application page before the deadline. Review the research group information if you want more context before applying.

More information can be found here

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