Data Scientist with background in electrical engineering

Your function

The position is part of an ongoing research and development project at the Innovation, which aims to reduce the rising redispatch costs in the grid (CF. €4.2 billion in Germany in 2022). The project investigates the possibility of using fast load flow solvers and optimization techniques to find topological actions.
You will have the opportunity to be part of an innovative, exciting project and make a significant contribution to further development with your ideas and suggestions.

Responsibilities

Prepare and optimize the grid data for load flow computations
Optimize existing grid analysis computations on massively parallel hardware.
Work on new methods to accelerate network load flow calculations
Work with network data to ensure the applicability of these methods in practice
Optimization of existing grid analysis calculations on GPUs
Develop and work in the topology optimizer product as a developer with electrical engineering expertise.
Carrying out benchmarks to identify bottlenecks and for quantitative evaluation. (Optional) scientific publication of the knowledge gained.

Requirements

Good Electrical engineering knowledge focus load flow computations
Knowledge of parallel programming patterns and massively-parallel hardware (GPUs)
Strong knowledge on Python, optional: Jax
Experience in one of the tools using Pandapower, Powsybl
Min 5 years Experience in modelling energy systems
Experience with porting algorithms
Strong academic background in electrical engineering BSc or MSc in Computer Science, engineering, informatics, or similar is a plus
Fluent in English. Additional language skills in German, Dutch or French is a plus
Good communication skills