Your Job:
1. Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids
2. Apply machine learning/AI or surrogate modeling (, neural networks, graph neural networks, physics-informed ML) to approximate PF results
3. Train models using simulation results generated from conventional power flow solvers
4. Evaluate AI-based approximators in terms of accuracy, generalization, and computational speed
5. Integrate models with the existing synthetic grid package
6. Optionally contribute to writing a scientific paper on AI-enhanced grid simulations
Your Profile:
Required Qualifications:
7. Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field
8. Very good knowledge of Machine Learning and AI algorithms
9. Solid programming skills in Python and familiarity with machine learning libraries (, scikit-learn, TensorFlow, PyTorch)
10. Experience working with geospatial data (, geopandas, rasterio, shapely).
11. Understanding of electrical power systems, especially power flow basics
12. Experience or interest in applying machine learning to engineering simulations
13. Strong analytical skills, ability to communicate and document research results clearly in English (B2)
Desirable Qualifications:
14. Experience with GIS tools and libraries (QGIS, GDAL), power system simulation tools (, PyPSA, pandapower, etc)
15. Knowledge of surrogate modeling, GNNs or Physics-Informed ML
16. Experience with academic writing or contributions to scientific papers
17. High level of independence, motivation, and a structured, reliable work approach
18. Good team skills and willingness to engage in interdisciplinary collaboration
Please feel free to apply for the position even if you do not have all the required and desirable skills and knowledge.
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:
19. MEANINGFUL TASKS: Your thesis deals with a future-oriented, socially relevant topic with direct practical relevance in an international environment
20. PRACTICAL RELEVANCE: With us, you will gain valuable practical experience alongside your studies and actively participate in interdisciplinary projects
21. SCIENTIFIC ENVIRONMENT: You can expect excellent scientific equipment, modern technologies, and qualified support from experienced colleagues
22. ONBOARDING & TEAMWORK: You can look forward to working in a dedicated, international, and collegial team. It is important to us that you quickly settle into the team and are given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide:
23. WORK-LIFE BALANCE: We offer flexible working hours, possible 100% home office, to help you balance your professional and personal life. You also have the option of flexible working (in terms of location), which is generally possible after consultation and in line with upcoming tasks and (on-site) appointments
24. FLEXIBILITY: Flexible working hours make it easier for you to balance work and study
25. FAIR REMUNERATION: We will pay you a reasonable remuneration for your thesis
26. FIXED-TERM: The position is initially for a fixed term of 6 months
In addition to exciting tasks and a collegial working environment, we offer you much more: