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Research Opportunity
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Research Opportunity

Power Systems


Work description

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

Academic Qualifications

PhD degree in electrical engineering or similar

Minimum profile required

A minimum of two publications in Magazines Q1 or Q2 of the area sustainable energy systems

Preference factors

Experience with machine learning models; Advanced knowledge in electrical power systems Knowledge in Python programming Knowledge of metaheuristics for optimization

Application Period

Since 20 Jul 2021 to 30 Aug 2021


Cluster / Centre

Power and Energy / Power and Energy Systems

Scientific Advisor

Ricardo Jorge Bessa