Energy Management
Work description
1) Development of workflows and algorithms to complement datasets of connected data spaces, to improve analysis results (forecasting, analysis of financial tools, predictive maintenance and optimization of the operation) 2) Conducting analysis on models related to energy storage and developing prediction models to show, against a baseline, the improvement of the evaluated tools by integrating third-party data (from connected data spaces or other federated digital learning platforms). 3) Validate the developed methodologies on real data and real demonstration sites, in particular the existing use cases that are part of the ATE project using the developed AI tools, optimization and energy efficiency models (including Gen AI). 4) Dissemination of the work in international journals and/or conferences
Academic Qualifications
Academic background in data science, engineering, computer science, mathematics, informatics or similar.
Minimum profile required
- Programming knowledge in Python/others- Fluent in English
Preference factors
- Past experience (or academic training) with energy data analysis and optimization - Experience with simulation techniques, energy efficiency models, large-scale energy consumption data, machine learning techniques and interpretation (unsupervised) - Education, experience and research orientation
Application Period
Since 05 Sep 2025 to 18 Sep 2025
Centre
Power and Energy Systems