Your Job:
The growing demand for energy transformation to counter the effects of climate change and reduce dependence on imported energy sources and raw materials is driving the European energy system towards a dynamic, supply- and demand-driven approach, often organized in local energy communities with a high penetration of renewable resources.
Power grids are critical infrastructure requiring ultra-reliable state estimation and control. With rising renewable energy integration, operators need certifiable performance guarantees to prevent blackouts while optimizing grid efficiency. Current models struggle to quantify uncertainty, risking overconfidence in volatile scenarios.
The goal is to scale and enhance Bayesian Distribution System State Estimation using both simulated and, if necessary, real-world grid data.
Your tasks in detail:
1. Design a framework to distribute a distribution grid
2. Develop a distributed version of an existing Bayesian Distribution System State Estimation algorithm
3. Validate and compare your method on critical scenarios via a Real-Time simulator and or real data
4. Formalize performance guarantees for deployment
Your Profile:
5. Excellent university degree (Bachelor) and ongoing Master studies in the field of Data Science or a comparable field Electrical Engineering, Computer Science/ Engineering, Physics
6. Strong mathematical background
7. Interest in energy systems, power grids and its components
8. Excellent knowledge and experience in programming Python
9. Excellent knowledge and experience in machine learning
10. Experience with git is welcome
11. Excellent ability for cooperative collaboration
12. Very good communication skills in English
13. Prior German knowledge is not strictly required
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:
14. SCIENTIFIC ENVIRONMENT: A highly motivated research group in one of the biggest research centers in Europe
15. PRACTICAL RELEVANCE: With us, you will gain valuable practical experience alongside your studies and actively participate in interdisciplinary projects
16. OUTSTANDING INFRASTRUCTURE: An excellent scientific and technical infrastructure: both necessary conditions for a successful Master thesis
17. ACTIVE INVOLVEMENT: Participation in project meetings and, if necessary, conferences
18. SUPPORT: Strong support and mentoring for setting up a future career in science and/or the industry
19. FLEXIBILITY: The opportunity to work flexibly (in terms of location), partly from home
20. SUPPORT FOR INTERNATIONAL EMPLOYEES: Targeted services for international employees, through our International Advisory Service
21. CONTRACT DURATION: The position is for a flexible term of 0,5 - 1 year.
22. FAIR REMUNERATION: We will pay you a reasonable remuneration for your thesis
In addition to exciting tasks and a collegial working environment, we offer you much more:
We welcome applications from people with diverse backgrounds, 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.
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