The successful candidate should have a solid track record in the area of Knowledge Graphs and complement the research focus “Mastering Large and Complex Data in Business and Society” of the Institute of Computer Science and Information Systems as well as the Data Science research at the University of Mannheim in general. We expect outstanding, internationally recognized research achievements in the field of knowledge graphs, particularly in at least one of the fields:
- Knowledge Extraction from semi-structured and unstructured sources
- Knowledge Graph Embedding methods
- Knowledge Matching and Integration
- Machine learning with Knowledge Graphs and Neurosymbolic AI
- Applications of Knowledge Graphs in various domains
We expect the successful candidate to raise third-party funds and to participate in the university's self-administration. Furthermore, we expect interdisciplinary cooperation with economics and social sciences in the context of the university's Data Science activities. Moreover, the successful candidate is expected to actively take part in shaping the teaching offerings of the Data and Web Science group, in particular by teaching courses in the following areas:
- Data Mining
- Knowledge Graphs
- Databases for Data Scientists
Appointment requirements are based on § 47 of the State University Law (LHG) of Baden-Württemberg. Appointment requirements are a completed university degree, pedagogical aptitude, and a completed doctorate. Early-career researchers are explicitly encouraged to apply.
The University of Mannheim puts great emphasis on intensive student support and therefore expects a pronounced presence at the university from the teaching staff. In order to strengthen the integration of the university into the regional environment, it is further assumed that the person to be appointed is willing to place his/
Please send your application with the usual documents (curriculum vitae, list of publications, information on previous teaching and research activities, course evaluations, your three most important publications, as well as copies of your certificates and diplomas) with the keyword “Substitute Professor in Data Science” via e-mail to Prof. Dr. Heiko Paulheim, e-mail: heiko(dot)paulheim(at)uni-mannheim(dot)de, by May 12th, 2024 .
Please note that threats to confidentiality and unauthorized access by third parties cannot be excluded when communicating via unencrypted e-mail.