Master Thesis – Data-Driven System Identification for Dynamic Modeling of rSOC-Systems

Shaping change: this is what drives us at Forschungs­zentrum Jülich. As a member of the Helmholtz Association with some 7,600 employees, we conduct interdisciplinary research into a digitalized society, a climatefriendly energy system, and a sustainable economy. We focus on the natural, life, and engineering sciences in the fields of information, energy, and bioeconomy. We combine this with expertise in high‑performance computing and artificial intelligence using unique scientific infrastructures. A promising technology investigated at the Institute of Energy Technologies - Fundamental Electrochemistry (IET-1) is the reversible Solid Oxide Cell (rSOC), which enables the efficient conversion of electrical energy into hydrogen and vice versa. Coupled with renewable energy sources such as solar and wind power, rSOC systems play an important role in future sustainable energy infrastructures. However, the fluctuating nature of renewable generation subjects these systems to dynamic operating conditions, creating significant challenges for control, efficiency, and longterm durability. Join our team Master Thesis – Data-Driven System Identification for

---