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Research Opportunity
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Research Opportunity

Artificial Inteliggence


Work description

Description of the work to be carried out: The digitization of the energy sector requires the development of data-based techniques for forecasting and optimization of distributed energy resources. The research fellow will work on the development of data-driven optimization and decision-aid algorithms, based on machine learning techniques.

Academic Qualifications

Master Degree in Phisics, Computer Science, Mathematics, Electrical Engineering or similar

Minimum profile required

Background on artificial intelligence techniques;Fluency in English (spoken and written);Good programming skills (e.g, Matlab, Python).

Preference factors

Experience in the application of machine learning methods to engineering areas; Experience in the development of control algorithms.

Application Period

Since 24 Oct 2019 to 12 Nov 2019


Cluster / Centre

Power and Energy / Power and Energy Systems

Scientific Advisor

Ricardo Jorge Bessa