Climate AI Nordics

Climate AI Nordics

Nordic network for collaborations around tackling climate change using AI and machine learning.

Postdoc in Modelling, Operation, and Control of Energy Systems – DTU Compute

The Section for Dynamical Systems at DTU Compute is looking for a postdoctoral researcher to join projects in the domain of energy. The projects aim to provide innovative and sustainable solutions for energy systems modelling, forecasting, state estimation, and optimization of energy production, distribution, and consumption. This work will improve energy performance in buildings, support renewable energy resources, and add value to demand-side management through new opportunities for flexibility.

The role involves engaging in international projects across the EU, with significant dissemination activities to ensure the success and sustainability of project outcomes. The primary responsibility will be to contribute to project tasks requiring an understanding of electrical or thermal energy system operation and dynamics, forecasting, modelling approaches, and optimization methods. The position is based at DTU’s facilities in Denmark.

Key Qualifications:

  • Design and develop solutions for the modelling, operation, and control of energy systems.
  • Develop advanced forecasting methods for energy consumption and production.
  • Contribute to developing state estimation methods for distribution grids.
  • Possess a strong background in AI-driven optimization frameworks, meta-heuristic and hybrid algorithms, machine learning, and deep learning.
  • Hold a PhD degree or equivalent.

Deadline: May 21st, 2026

Apply through the official recruitment system

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