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Professor openings in Machine Learning at Saarland University

Country : Germany

Website :


We are seeking both an Associate (W2) and a Full (W3) Professor in Machine Learning at Saarland University
The Faculty of Mathematics and Computer Science invites applications for the following positions which should be filled as soon as possible:
- Full Professor (W3) for Mathematics and Computer Science in the area of Machine Learning (Ref. No. W1320)
- Associate Professor (W2) for Computer Science in the area of Machine Learning (Ref. No. W1321)
Saarland University seeks applications from outstanding individuals who have a proven international record of excellent research following an outstanding PhD degree. Profound experience in the application of machine learning in different domains is explicitly welcome. The Department of Mathematics and Computer Science at Saarland University combines excellent student training with excellence in research and development. It is regularly found among the best departments esp. in computer science rankings. The Department of Computer Science collaborates closely with a number of internationally renowned state-of-the-art research institutes in informatics: the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, the CISPA - Helmholtz Center i.G., the German Research Center for Artificial Intelligence, the Saarbrücken Graduate School of Computer Science, the Cluster of Excellence Multimodal Computing and Interaction, and the Center for Bioinformatics. All of these institutes are within short
distance of each other on campus.
Candidates should submit their application (curriculum vitae, research statement, teaching statement, publication list, and a list of five references) as well as their business and private address (phone number and e-mail address) with the reference number until 20.03.2018 to Dekan der Fakultät für Mathematik und Informatik, Universität des Saarlandes -Dekanat MI, Campus E2 4, R. 110, D-66123 Saarbrücken. Please send your application additionally as a single PDF file to
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Last modified: 2018-03-02 09:52:38