PhD Candidate: AI-Driven Hydropower Scheduling

Arbeidsplassen; Trondheim; On-site; NOK 348,000 - 580,000; Full time

Benefits offered by this job

Mentor programme as a new employee

Open and inclusive working environment

Free Norwegian language training (A2)

Job summary

NTNU is inviting applications for a PhD Candidate in AI-supported long-term hydropower scheduling. The project sits within the AID centre, combining stochastic optimization with AI learning to enable safer, more trustworthy decision‑making in Nordic hydropower systems.

You will join the EMESP group in the Department of Electric Energy, under leading professors, and work on long‑term and multi‑reservoir scheduling, market participation, and planning under uncertainty.

Qualifications

• Master's degree in electrical power engineering, computer science, control engineering, chemistry, managerial economics with strong quantitative skills, or physics/mathematics with OR specialization.
• Proven strong academic record with B or better on NTNU scale or equivalent.

Responsibilities

• Carry out high-quality research within the described framework.
• Participate in EMESP research group activities.
• Complete coursework totaling at least 30 ECTS.
• Contribute to publications and science dissemination.

Skills

Optimization modelling

Numerical optimization

Education

Master's degree in relevant field

Tools

JuMP

Pyomo

Gurobi

CPLEX

HiGHS

Job description

NTNU is inviting applications for a PhD Candidate in AI-supported long-term hydropower scheduling. The project sits within the AID centre, combining stochastic optimization with AI learning to enable safer, more trustworthy decision‑making in Nordic hydropower systems.

You will join the EMESP group in the Department of Electric Energy, under leading professors, and work on long‑term and multi‑reservoir scheduling, market participation, and planning under uncertainty.