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.
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).
Experience in the application of machine learning methods to engineering areas; Experience in the development of control algorithms.
Since 24 Oct 2019 to 12 Nov 2019
Cluster / Centre
Power and Energy / Power and Energy Systems