Power Systems
Work description
1) Development of methodologies to explain the results of power grid optimization problems, combining operations research and artificial intelligence 2) Develop methodologies that combine physical models with data-driven machine learning methods 3) Validate the developed methodologies using real data 4) Disseminate the work in international journals and/or conferences
Minimum profile required
Previous academic background in or electrical engineering or applied mathematics or computer science or informatics or similar
Preference factors
- Past experience (or academic background) with machine learning - Academic background in energy systems - Programming knowledge in Python
Application Period
Since 22 May 2025 to 22 Jun 2025
Centre
Power and Energy Systems