Prof. Dr Johannes Margraf took over the professorship for Physical Chemistry V: Theory and Machine Learning at the University of Bayreuth on 1 September. He specialises in the border area of machine learning (ML) and physical chemistry.
Johannes Margraf studied molecular sciences in Erlangen. After completing his doctorate there, he went to the University of Florida to work as a post-doctoral researcher. He worked as a group leader at the Technical University of Munich before moving to the Fritz Haber Institute of the Max Planck Society in Berlin. From there, he has now come to the University of Bayreuth.
"I chose the University of Bayreuth because it is home to many research institutions in the fields of artificial intelligence, energy and materials," says Prof Dr Johannes Margraf. "I am therefore hoping for many good opportunities for collaboration."
Prof Margraf sees his future in the development of ML methods for chemistry, in particular to better understand functional energy materials and predict their properties. He will also start teaching in January. Prof. Margraf has taken up a professorship from the Hightech Agenda Bayern AI competition and is based at the Bavarian Centre for Battery Technology (BayBatt) in Weihererstraße at the University of Bayreuth.
Prof. Dr Johannes Margraf will give his inaugural lecture on 18 January 2024 at 5 p.m. in H14 (NWI).
University of Bayreuth
Phone: +49 (0)921 - 55 5893 57
Mail: jennifer.opel@uni-bayreuth.de
