At the Institute of Energy and Climate Research – Juelich Systems Analysis (ICE-2), the ICE-2 team "Integrated Infrastructure – Distribution Infrastructure" develops synthetic, geo-referenced distribution grids for electricity, gas, and hydrogen. These efforts support the planning of robust, climate-neutral infrastructure systems by analyzing load profiles, technology placement, and sector integration. By joining us, you`ll contribute to Germany`s energy transition and digital transformation through cutting-edge research.
Your Job:
- Research and extract industrial and commercial buildings across Germany using open-source geospatial data (e.g. OpenStreetMap, CORINE Land Cover, Sentinel, etc)
- Apply machine learning/AI and/or statistical algorithms to classify building and land-use types relevant to electrical consumption
- Label and prepare training data for AI models; develop automated pipelines for classification
- Integrate findings into the existing package synthetic grid tool for generating realistic medium-voltage distribution grids
- Collaborate with domain experts from energy modeling, geoinformatics, and data science
- Prepare scientific documentation of your methodology and results
- Contribute to writing scientific papers for internal reporting and possible publication
Table of Content
Summary
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Benefits
- MEANINGFUL TASKS: Your thesis deals with a future-oriented, socially relevant topic with direct practical relevance in an international environment
- PRACTICAL RELEVANCE: With us, you will gain valuable practical experience alongside your studies and actively participate in interdisciplinary projects
- SCIENTIFIC ENVIRONMENT: You can expect excellent scientific equipment, modern technologies, and qualified support from experienced colleagues
- 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: https://go.fzj.de/welcome
- 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)
- FLEXIBILITY: Flexible working hours make it easier for you to balance work and study
- FAIR REMUNERATION: We will pay you a reasonable remuneration for your thesis
- FIXED-TERM: The position is initially for a fixed term of 6 months
Requirements
- Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field
- Solid programming skills in Python and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
- Experience working with geospatial data (e.g., geopandas, rasterio, shapely)
- Interest in AI and energy systems modeling
- Ability to communicate and document research results clearly in English (B2)
Desirable Qualifications:
- GIS experience (QGIS, GDAL), basic understanding of distribution grid concepts and tools like PyPSA
- Experience with academic writing or contributions to scientific papers
- High level of independence, motivation, and a structured, reliable work approach
- 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.
Application Deadline
Not SpecifiedHow To Apply
Are you qualified and interested in this opportunity? Kindly go to
Forschungszentrum Jülich on www.fz-juelich.de to apply
For more information, kndly visit FZ Julich webpage.
