Early Career Research Group at the Cluster “Machine Learning”

On November 1, 2020, Nicole Ludwig has started as head of the first Early Career Research Group.

Dr. Nicole Ludwig's Early Career Research Group "Machine Learning in Sustainable Energy Systems" is located at the Cluster of Excellence "Machine Learning" at the University of Tübingen. Through Early Career Research Groups, the Cluster specifically supports outstanding female scientists at a very early stage of their scientific career, towards the end of their PhD or shortly after.

The long-term goal of Ludwig’s research group is to develop machine learning algorithms that help build a sustainable energy system of the future.

Ludwig studied computer science in Freiburg. She has written her PhD thesis on data-driven methods for demand-side flexibility in energy systems, supervised by Veit Hagenmeyer at Karlsruhe Institute of Technology. Before coming to Tübingen, Nicole Ludwig has been part of the DFG Research Training Group on "Energystatusdata" (2016 - 2019) and worked at the Institute for Automation and Applied Informatics (2019 - 2020), both at Karlsruhe Institute of Technology.

For further information please visit "Machine Learning in Sustainable Energy Systems"