The University of Rostock offers a diverse, varied and demanding job in a tradition-conscious, yet innovative, modern and family-friendly university in a lively city by the sea.
At the Faculty of Computer Science and Electrical Engineering, Institute for Visual and Analytic Computing, Chair of Intelligent Data Analytics, subject to allocation of funds, we are filling the following position at the earliest possible date on a temporary basis for the duration of the project "THEMIS" ending on 31.08.2025:
at the earliest possible date
full-time with 40 hours/week
pay group 13 TV-L
limited until 31.08.2025
HR department:
Mrs Elisa Lehmann
Phone number: 0381/498-1282
E-mail: elisa.lehmann@uni-rostock.de
Chair of Intelligent Data Analytics:
Mr Prof. Dr. Martin Becker
Phone number: 0381/498-7420
E-mail: martin.becker@uni-rostock.de
The Becker Lab represents the Chair of Intelligent Data Analytics at the Institute for Visual and Analytic Computing and the Faculty of Computer Science and Electrical Engineering. You will be part of a machine learning research group in a beautiful seaside city with a strong global network, including Stanford University, UC San Diego, or UNC Chapel Hill, and a variety of national and local contacts. This gives you direct access and collaborations with leading experts in machine learning, (bio)medicine, and marine ecology worldwide. You will have the unique opportunity to work, shape, and lead within a collaborative and team-oriented group that aims to solve highly relevant, practical problems by developing cutting-edge machine learning. You will have the opportunity to manage and co-lead the BMBF AI research group THEMIS on “Using background knowledge for modeling and understanding complex systems”. In addition, we will strongly support you in developing and pushing your own independent research agenda, including acquiring your own funding and personnel in order to kickstart your career as an independent researcher and leader.
Equal opportunities are important to us. We welcome applications from suitable severely disabled people or people with equal opportunities. We aim to increase the proportion of women in research and teaching and therefore encourage suitably qualified women to apply. We welcome applications from people of other nationalities or with a migration background.