PhD Candidate: AI-Powered Hydropower Scheduling

Ntnu

Trondheim

Hybrid

NOK 522,000 - 638,000

Full time

5 days ago

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Benefits offered by this job

Open and inclusive working environment

Free Norwegian language training (A2)

Job summary

NTNU seeks a PhD Candidate in AI-Supported Long-Term Hydropower Scheduling to join the Electricity Markets and Energy Systems Planning group. The candidate will pursue doctoral studies while developing AI-enhanced optimization for hydro resources, reservoirs, and energy markets in a Nordic context.

The project is hosted within AID, a national AI centre led by NTNU and SINTEF, emphasizing trust and decision-support in power systems. Supervisors include several renowned experts in the field.

Qualifications

Master's degree completed by autumn 2026 or earlier with strong quantitative background.
Excellent academic record with a solid foundation for PhD study.
Experience with optimization modeling and solver tools is valued.
Proficiency in English at B2 level or higher.

Responsibilities

Conduct high-quality research within the project framework.
Participate in EMESP group activities and training.
Complete coursework equivalent to at least 30 ECTS.
Contribute to publications and scientific dissemination.
Engage in international conferences or research stays.

Skills

Optimization modelling

Numerical optimization

English (B2)

Research mindset

Education

Master's degree in electrical power engineering / CS / control engineering / physics / maths with OR

Tools

Julia

Python

JuMP

Pyomo

Gurobi

CPLEX

HiGHS

Job description

The project is hosted within AID, a national AI centre led by NTNU and SINTEF, emphasizing trust and decision-support in power systems. Supervisors include several renowned experts in the field.

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