Mandatory Internship – Data Science and Deep Learning for Energy Systems
Erlangen - - Germany
Munich - - Germany
EUR 30K-34K (estimate) Entry-level Internship
Tasks
- Analyze covariate relevance model robustness and interpretability
- Build and compare multivariate forecasting frameworks
- Conduct literature review on forecasting methods for energy systems
- Design and execute experiments to evaluate forecasting accuracy
- Implement and benchmark time series foundation models
- Integrate heterogeneous covariates into forecasting models
Perks/Benefits
Skills/Tech-stack
Data Modeling | Deep learning | Forecasting | Machine Learning | PyTorch | Python | Time Series | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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