20 beste Stellen als python in eschweiler, nw – aktuell auf Personalsuche

The Fraunhofer-Gesellschaft (www.fraunhofer.com) is one of the world's leading organizations for application-oriented research. 74 institutes develop pioneering technologies for our economy and society – more precisely: 30 000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference. For themselves, for us and for the markets of today and tomorrow.

The Fraunhofer IEG conducts research in the fields of integrated energy infrastructures, geothermal energy, and sector coupling to support a successful energy transition. Our research institution performs applied research, develops innovative technologies for public and industrial clients, and transfers these into market-ready products and processes.

As part of the research project V2Xplore, this master’s thesis aims to develop a methodology for deriving representative distribution grid models (“typical grids”) for Germany based on publicly available data from medium- and low-voltage power networks. The objective is to reduce the computational effort of grid simulations while enabling meaningful analyses of the impacts of Vehicle-to-X (V2X) applications on a national scale. The thesis offers the opportunity to work on independent modeling tasks while being integrated into an interdisciplinary research team.

The position is based at the Aachen site, with the option to work remotely within Germany.

Be part of change

Analysis of publicly available data in the context of electrical energy systems
Development of a methodology to derive typical grids for Germany, e.g., using clustering approaches
Execution of forward-looking distribution grid analyses, considering the expansion of renewable energy sources and the market ramp-up of electric vehicles
Derivation and evaluation of the impacts of V2X applications based on the developed grid models and analyses

What you contribute

Ongoing university studies in Electrical Engineering/Information Technology, Industrial Engineering, Computer Science, or a related field
Knowledge of electrical energy systems or willingness to familiarize yourself with this field
Interest in data analysis and processing, as well as in combining heterogeneous data sources
Good German and very good English language skills (written and spoken)
Solid programming skills in Python
Structured, independent, and reliable way of working

What we offer

Opportunity to contribute your own ideas and actively shape research topics
Scientific supervision and individual support by experienced researchers
Integration into ongoing research projects and current research questions
Workplace at the Aachen site with the option for remote work within Germany

We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.

For further information about the position, please contact:

Dr.-Ing. Judith Stute

per Mail

For questions regarding the application process, please contact: :

Herr Philipp Steinborn

Phone: +49 355 35540 172

per Mail

Fraunhofer Research Institution for Energy Infrastructures and Geotechnologies IEG

Requisition Number: 83949 Application Deadline:

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