Das ist der Job
The Control Solutions department develops methods and algorithms for controlling energy systems and their components.
Darum lohnt es sich
Your Job
The increasing digitalization of modern energy systems, together with the large-scale integration of renewable energy sources and distributed energy resources, is generating unprecedented volumes of heterogeneous operational data.
PhD Position - Generative AI for Smart Grids and Energy Systems
At the Institute of Climate and Energy Systems - Energy Systems Engineering (ICE-1), we develop advanced models, algorithms, and control solutions for simulating, optimizing, and operating future integrated energy systems.
We address the challenges arising from the increasing integration of renewable energy, sector coupling, decentralization, and growing energy infrastructure complexity. We focus on application-oriented methods that can operate in real time and are suitable for operating decentralized systems.
We aim to enable the reliable, cost-efficient, resilient, and sustainable operation of future energy networks by combining our knowledge of energy systems with cutting-edge developments in machine learning, generative AI, and digital infrastructures.
However, limited availability, privacy constraints, and the variable quality of real-world datasets continue to hinder the development of reliable AI solutions for energy system monitoring and control. In this context, generative AI and foundation models offer promising approa
