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Research Opportunity
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Research Opportunity

Computer Science

[Closed]

Work description

Enlarge the knowledge in the machine learning/artificial intelligence state-of-the-art Develop the R&D capacity through the application of machine learning methods Apply innovative techniques to smart grid related problems

Academic Qualifications

Studies in computer science or applied mathematics or informatics or electrical engineering The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions.

Minimum profile required

Knowledge in one programming languageBasic knowledge in machine learning algorithms

Preference factors

Experience in Python programming language Fluency in English (spoken and written)

Application Period

Since 09 Jun 2020 to 25 Jun 2020

[Closed]

Cluster / Centre

Power and Energy / Power and Energy Systems

Scientific Advisor

Ricardo Jorge Bessa