Power Systems - Distributed Energy Resources and AI Services (Digitalization)
Work description
1) Development of workflows to complement data sets from connected data spaces, to improve data analytics outcomes (forecasts, financial tool analysis, predictive maintenance and operation optimization) 2) Performing analysis on storage related models and development of forecast models to show against a baseline, the improvement of the assessed tools when integrating third party data (from connected data spaces or other digital federated learning platforms). 3) Validate the developed methodologies on real data and real demonstration sites, in particular the existing use cases part of the ATE project using the developed AI tools (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 background) with energy data analytics - Experience with simulation techniques, AI agents, Foundational model deployment/General AI and LLMs - Academic background experience and research oriented
Application Period
Since 24 Jul 2025 to 24 Aug 2025
Centre
Power and Energy Systems