Master Thesis
Vor 5 Tagen
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**: - Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids - Train models using simulation results generated from conventional power flow solvers - Evaluate AI-based approximators in terms of accuracy, generalization, and computational speed - Integrate models with the existing synthetic grid package Optionally contribute to writing a scientific paper on AI-enhanced grid simulations **Your Profile**: Required Qualifications: - Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field - Very good knowledge of Machine Learning and AI algorithms - 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). - Understanding of electrical power systems, especially power flow basics Strong analytical skills, ability to communicate and document research results clearly in English (B2) Desirable Qualifications: - Experience with GIS tools and libraries (QGIS, GDAL), power system simulation tools (e.g., PyPSA, pandapower, etc) - Knowledge of surrogate modeling, GNNs or Physics-Informed ML - 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 **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: - 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 - 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 - 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
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Master Thesis
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Master Thesis
Vor 6 Tagen
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Master Thesis
Vor 6 Tagen
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Master Thesis
vor 2 Wochen
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Master Thesis
Vor 6 Tagen
Jülich, Deutschland Forschungszentrum Jülich VollzeitYour Job:Our Modeling and Simulation Group offers an interdisciplinary and agile research environment within a dynamic and diverse group. The project is an excellent example for research at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit or...