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Internship, Bachelor or Master Thesis
vor 2 Monaten
In the Institute of Energy and Climate Research - Energy Systems Engineering (IEK-10) we focus 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.
**Your Job**:
To meet the need of advanced simulation capability required by the energy transition, we’re developing software that enables large-scale parallel simulation of power systems on with the aid of cutting-edge technologies such as the supercomputers of the Jülich Research Centre and high-performance computing (HPC) clusters with newest GPU and FPGA based accelerators.
Your tasks will be the:
- Support in the development of new parallel simulation methods and tools for energy systems
- Study of optimization methods for simulations based on GPU and FPGA
**Your Profile**:
- Experience or good knowledge in parallel programming
- Fluent in English (spoken and written)
**Our Offer**:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change We support you in your work with:
- 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
- An interesting and socially relevant topic for your thesis with future-oriented themes
- Excellent technical equipment and the newest technology
- The chance to independently prepare and work on your tasks
- Flexible working hours as well as a reasonable remuneration
- A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work
- Flexible work (location) arrangements, e.g. remote work
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