IEK-10 focuses on the optimal design and operation of integrated, decentralized energy systems with a high share of renewable energy. Computer simulation and numerical optimization are our essential tools to arrive at efficient, reliable and cost-effective solutions. We contribute both to the development of mathematical models and to the development of improved simulation methods and optimization algorithms. Our methods and software-tools are validated against operating data of real systems. Furthermore, we conduct comprehensive case studies in order to test and further improve the scalability and the performance of our models and algorithms. Specially adapted methods and codes enable us to exploit the potential of high performance computing with the aim of solving particularly large and complex problems.
Scope of the Internship:
To meet the need of advanced simulation capability required by the energy transition, we're developing software that enables parallel simulation of large-scale power systems on high-performance computing (HPC) clusters. Your task will be development of new methods and tools that improves the efficiency of the developed parallel simulation program.
- You are a student with good background in Computer Engineering, Electrical engineering, Mathematics or other related subject
- Good knowledge of and some experience in a programming language, preferably C++ or Python
- Knowledge in parallel programming is a plus
- Fluent in English (spoken and written)
- Interest in developing new and exciting methods
- Highly motivated scientists of different subject areas working together
- Interdisciplinary work combining physics, mathematics, computer science, and engineering
- Intensive supervision by one or more experienced and helpful colleague(s)
- Friendly and welcoming work environment
Forschungszentrum Jülich GmbH
Institut für Energie- und Klimaforschung - Modellierung von Energiesystemen (IEK-10)
E-Mail: [email protected]
More Information about our institute: https://www.fz-juelich.de/iek/iek-10/