Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
Research Opportunity
Apply now Final Selection Minute View Formal Call
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 19 Jun 2019 to 12 Jul 2019


Cluster / Centre

Power and Energy / Power and Energy Systems

Scientific Advisor

Ricardo Jorge Bessa