INESC TEC is looking for a PhD holder to work within the Power and Energy / Power and Energy Systems cluster.
Tasks will include: develop machine learning models with high interpretability and the ability for natural language processing; formulate data-based optimization problems (using supervised techniques and reinforcement learning); apply innovative data-drive techniques to use cases related to electricity markets and grid operation under emergency condition; dissemination of work in international journals.
The candidate is required to have a PhD degree in electrical engineering or similar.
The minimum requirements for the profile are a doctorate, and two publications in Magazines Q1 or Q2 of the area sustainable energy systems.
Preference will be given to candidates who have: Experience with machine learning models; Advanced knowledge in electrical power systems Knowledge in Python programming Knowledge of metaheuristics for optimization.
Scientific advisor: Ricardo Jorge Bessa.
Application period: 20 July – 30 August 2021.