Power Systems
Work description
The researcher's work is framed within the activities of applying artificial intelligence (AI) to support the energy transition in critical infrastructures (e.g., the power grid). The activities will focus on the control and prediction of the operation of power grids and energy communities, considering aspects such as interpretability, robustness, and resilience of AI-based systems. Another objective is to develop new approaches for cooperation between humans and AI, exploring paradigms such as supervised and reinforcement learning.
Academic Qualifications
Master in electrical and computer engineering; informatics; computer science; applied mathematics; other related
Minimum profile required
- Basic knowledge of machine learning;- Advanced knowledge of a programming language applied to data science (e.g., Python, R).
Preference factors
- Advanced knowledge of electrical power systems; - Experience in developing algorithms based on reinforcement learning; - Fluency in English (spoken and written)
Application Period
Since 11 Jul 2024 to 11 Aug 2024
Centre
Power and Energy Systems