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Professorship (W1) with W2 tenure track "Automated machine learning and optimization" - Dortmund, Deutschland - Technische Universität Dortmund
Beschreibung
The Department of Computer Science at TU Dortmund University is offering the following position (starting at the earliest possible date):Professorship (W1) with W2 tenure track Automated machine learning and optimization
The professorship is part of the Lamarr Institute for Machine Learning and Artificial Intelligence
Comprising 17 departments in the natural and engineering sciences as well as the humanities and social sciences, TU Dortmund University is a dynamic university with a strong profile in research, teaching, promotion of young scientists and transfer.
Among similar institutions, it is distinguished by a combination of fundamental research on formal methods with the development of practical applications.
Research focuses on Algorithmics, Data Science, Cyber-Physical Systems and Software and Service Engineering.The Lamarr Institute, as a leading international center for Machine Learning, focuses on the value-based research and development of high-performance, trustworthy, and resource-efficient applications of Machine Learning and Artificial Intelligence (AI).
Along the central research paradigm of »Triangular AI« (AI3), Lamarr scientists are laying the foundations for the next generation of Artificial Intelligence, which uses data, knowledge and context of intelligent systems on an equal footing.
You represent the area of automated machine learning (AutoML) and optimization in research and further develop this with international visibility.
There, you will establish a new expert group on machine learning equipped with two scientific staff positions for both scientific and application-oriented ML research at TU Dortmund University.
You will have obtained an excellent doctorate and already demonstrated initial experience in the dissemination of your research in the field of the professorship through international publications in recognized peerreviewed venues.
Experience in obtaining competitively awarded external funding /participation in research projects is desirable. We offer an excellent academic environment and attractive cooperation opportunities with renowned international, national, and regional partners. Fink
