Power Systems - Artificial Intelligence
Work description
1) Development of workflows and methods enabling AI-powered decision assistants to support full human operator control under risk and model uncertainty and considering human-AI co-learning. 2) Validate the developed methodologies on real data and open-source simulators for power network use cases. Develop/improve AI-friendly digital environments. 3) Dissemination of the work in international journals and/or conferences
Minimum profile required
- Previous academic background in applied mathematics or computer science or informatics or electrical engineering or similar.
Preference factors
- Advance knowledge in electric power systems - Past experience (or academic background) with supervised and reinforcement learning - Academic background in operations research - Programming knowledge in Python
Application Period
Since 29 Apr 2024 to 29 May 2024
Centre
Power and Energy Systems
Scientific Advisor
Ricardo Jorge Bessa