PhD Position — Dynamic Simulation of Energy Grids on Supercomputing Infrastructures

Design scalable algorithms for large dynamic energy-grid systems, improve simulation accuracy/stability and optimise execution on CPU/GPU architectures. Validate methods in simulation tools, study security/resilience scenarios, mentor students and disseminate results. The Jülich doctoral appointment is 3.5 years, including a first six-month orientation/probation period, paid at 75% of TVöD-Bund grade 13.

Master’s in electrical engineering or a related field; strong mathematical/algorithmic background, Python/C++ or comparable programming, and familiarity with MPI/CUDA or other parallel frameworks. English at least B2, analytical independence and cooperative teamwork.