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Professorship in Machine Learning / Data Mining / Artificial Intelligence with Applications in Natural or Social Sciences
Published(280 days ago)
Deadline for applications(260 days ago)
University of KonstanzKonstanz
The University of Konstanz has been successful in the German Excellence Initiative since 2007.
The Department of Computer and Information Science of the Faculty of Sciences seeks to fill the position of a
Professor in Machine Learning / Data Mining / Artificial Intelligence with Applications in Natural or Social Sciences (temporary appointment until March 2020) (f/m)
The open position is the replacement for the Professorship Bioinformatics and Information Mining held by Prof. Dr. Michael Berthold, who is on leave during the corresponding time period.
Applicants should be internationally recognized with a research and teaching focus on one or more of the fields Machine Learning, Data Mining, and Artificial Intelligence. The position offers great potential for collaboration with the Department's focal area of "Analysis, Exploration, and Visualization of Large Data Spaces" and with the recently funded excellence cluster "Collective Behaviour" across disciplines such as biology, psychology, and social science. Candidates are expected to teach the course Computer Systems and Networks (in German). The Department's teaching languages are German and English.
Minimum qualifications include a doctorate in computer science or closely related subjects, an excellent publication record, and successful teaching experience.
The University of Konstanz is committed to ensuring an environment that is free from discrimination and provides equal opportunities as well as a good balance between university and family life. To find out how the University of Konstanz supports working couples through its dual career programme, please visit: http://www.uni-konstanz.de/dcc.
Persons with disabilities are explicitly encouraged to apply. They will be given preference if appropriately qualified (contact + 49 7531 88-4016).
All application materials (curriculum vitae, publication list, a list of grants and awards, details of teaching experience, as well as statements of current research topics, future research directions and interests) should be sent as one pdf file to email@example.com by 3 December 2018. For further information, please contact Prof. Falk Schreiber, email: Falk.Schreiber@uni-konstanz.de .