Job
In this role, you will implement a WLS algorithm in pandapower, test it using synthetic networks, and validate its performance against real measurement data and scenarios.
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Job technologies
Your role in the team
- Implementation of a WLS-based algorithm in pandapower.
- Testing the algorithm with exemplary synthetic networks.
- Performance evaluation under various scenarios, settings, and measurement configurations.
- Validation of the algorithm based on real networks and measurement data.
- Refinement and documentation of the algorithm.
Our expectations of you
Education
- Ongoing studies in computer science, electrical engineering, physics, or comparable fields.
Qualifications
- Interest in power grids, digitalization, and energy transition.
- Independent, structured, and meticulous working style.
- Excellent German or English language skills.
Experience
- Experience in software development with Python.
What we offer
- Insight into application-oriented research in the energy sector with direct relevance for industry and society.
- Access to expert networks in the energy industry and research.
- Option for continued employment (e.g., as a research assistant or for a PhD).
- Flexible and customizable working hours tailored to lecture and exam schedules, with the option to work from home or in the modern institute building featuring a New Work concept in a central location.
Benefits
Health, fitness & fun
Work-Life-Integration
Topics you will work on
Job locations
About your employer
The Fraunhofer Society is the largest organization for applied research in Europe. We align our research fields with people's needs: health, safety, communication, mobility, energy and the environment. We are creative and design technology. We design products, improve processes and open up new avenues.
- 250+ Employees
- Established Company
- Onsite, Hybrid, Full Remote
- Science, Research
Employer reviews
- Engineering
- 2.9
- Career growth
- 3.8
- Team culture
- 3.5
- Working conditions
- 4.2
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