I am a full Professor at the Technical University of Denmark (DTU), Department of Wind and Energy Systems (in short DTU Wind). I am currently heading the section "Energy Markets and Analytics" (EMA) with 10+ research staff. I am also the head of studies for the MSc program "Sustainable Energy Systems", one of DTU’s flagship and most sought-after programs. Additionally, I am the founder and current co-organizer of the DTU PES (Power and Energy Systems) Summer School, which annually attracts numerous PhD students from around the world to DTU. I also serve as an Associate Editor for Operations Research.
My main research interest is to develop market-oriented and data-driven approaches for the operation of modern power systems with renewables, also in coordination with other energy systems including hydrogen, natural gas, and district heating. My research focus is at the intersection of multiple fields, including optimization, game theory, control, and machine learning for energy applications.
Hopefully, my research will facilitate the development of efficient market designs, services, and coordination mechanisms for market/system operators, that go beyond the state of the art and improve the overall efficiency of the integrated energy system. My research is also going to help stakeholders make more informed business, trading, and operational decisions, owing to a wealth of available data.
We will soon announce two PhD positions in the Energy Markets and Analytics Section atDTU Wind and Energy Systems. The job advertisements may be posted before or after the New Year, with application deadlines set for the end of January.
The first PhD project, led by my colleagueLicio Romao, focuses on the cyber-physical resiliency of power systems using advanced control, optimization, and statistics. The candidate will have the opportunity to collaborate with Henrik Sandberg and spend 6-9 months at KTH in Stockholm.
The second PhD project, led by my colleaguesFarzaneh PourahmadiandLesia Mitridati, is centered on smart grid optimization, specifically developing privacy-preserving models for coordinating active flexible loads. The candidate will collaborate with Anna Scaglione and have the chance to visit Cornell Tech in New York for 6-9 months.
For both positions, we are seeking candidates with a well-suited background in control systems, computer science, operations research, or power systems.
Meanwhile, if you are interested in either of the positions, please feel free to contact us ({jalal, licro, farpour, lemitri}@dtu.dk). However, please kindly note that we may not be able to respond to all emails, as we typically receive 100+ applications. Alternatively, you may wait for the official job advertisements.
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