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Research Opportunities
Power Systems
Work description
1) Development of methodologies to explain the results of power grid optimization problems, combining operations research and artificial intelligence.
2) Develop methodologies that combine physical models with data-driven machine learning methods.
3) Validate the developed methodologies using real data.
4) Disseminate the work in international journals and/or conferences.
Minimum profile required
Previous academic background in or electrical engineering or applied mathematics or computer science or informatics or similar.
Preference factors
Past experience (or academic background) with machine learning. Academic background in energy systems. Programming knowledge in Python.
Maintenance stipend: € 1040.98 or 1309.64, according to the table of monthly maintenance stipend for FCT grants , paid via bank transfer. Grant holders may be awarded potential supplements, according to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC
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