At the Institute of Climate and Energy Systems - Energy Systems Engineering (ICE-1) 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:
As part of this master’s thesis, the agent-based energy market simulation ASSUME should be expanded to include the local neighborhood. The goal is to further develop the existing simulation environment so that issues at the interface between the electricity markets, end customer supply, and decentralized energy systems can be investigated. To this end, suitable models and methods are to be identified, designed, and integrated into ASSUME.
One focus of the thesis is on linking different levels of analysis within the simulation. On this basis, various tariff and bidding approaches are to be investigated in suitable scenarios and evaluated with regard to selected energy-related and system-related parameters.
This results in the following work packages in particular:
Your Profile:
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:
In addition to exciting tasks and a collegial working environment, we offer you much more:
We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.
The following links provide further information on diversity and equal opportunities: and on specific support options:
We look forward to receiving your application. The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible.
#J-18808-LjbffrVeröffentlichungsdatum:
05 Apr 2026Standort:
WorkFromHomeEinsatzort:
Helmholtz Information & Data Science Academy, Jülich, GermanyTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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