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
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
Experience in Python programming language Fluency in English (spoken and written)
Since 09 Jun 2020 to 25 Jun 2020
Cluster / Centre
Power and Energy / Power and Energy Systems