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Research Opportunity
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Research Opportunity

Electric power systems

[Closed]

Work description

The technological revolution in the energy sector is producing large volumes of data with valuable impact in the business and functional processes of system operators, generation companies and grid users. The research fellow will develop innovative data-driven techniques (e.g., machine learning) for optimization (e.g., energy efficiency) and forecasting problems. It will join a multidisciplinary team referenced internationally for its high expertise in energy analytics, within the context of smart grids.

Academic Qualifications

Master degree in Electrical Engineering or Mathematics or similar

Minimum profile required

Advance knowledge in machine learningAdvance knowledge in programming (e.g., Python)Fluent in English (spoken and written)

Preference factors

Experience with energy systems related problems Experience with time series forecasting problems

Application Period

Since 18 Nov 2019 to 29 Nov 2019

[Closed]

Cluster / Centre

Power and Energy / Power and Energy Systems

Scientific Advisor

Ricardo Jorge Bessa