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Research Opportunity
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Research Opportunity

Power Systems - Smart Grids


Work description

- Extend the knowledge about the state-of-the-art in the application of machine learning techniques to energy systems; - Identify and select use cases for combining artificial intelligence and renewable energy forecasting; - Develop research skills in machine learning and data-driven optimization; - Training a critical spirit in the evaluation of the research process and the obtained results.

Academic Qualifications

MSc degree in electrical engineering or computer science or similar;

Minimum profile required

Average grade on the degree and on o MSc of 14 out of 20;

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 18 Aug 2020 to 27 Sep 2020


Cluster / Centre

Power and Energy / Power and Energy Systems

Scientific Advisor

Ricardo Jorge Bessa