Full Professorship of Data Engineering and Data Analysis

The professorship shall focus both in research and teaching on handling large database systems, heterogeneously structured data, as well as their automatic integration and analysis. Candidates must have an excellent track record in at least one and preferably a combination of multiple of the following research fields:

• Data Mining
• Big Data Analytics
• Information Retrieval
• Data Integration
• Knowledge Discovery
• Data Privacy

Strong candidates follow a research strategy that includes well-founded basic research, ideally in combination with convincing application cases with reference to practical implementations. The university expects interest in the collaboration with other professorships at the department. Cooperation with the life, environmental, or social sciences, or the jurisprudence is desirable, and also with one of the existing or newly granted clusters of excellence.

Prerequisites for the employment of Professors are a university degree, an outstanding dissertation and an excellent publication record. Substantial achievements and experience in academic research and teaching, at the level of a Habilitation according to the German academic system, are expected.

The following application documents are to be submitted:

• Curriculum vitae, certificates of degrees and academic qualifications
• Complete list of papers and invited lectures, specifying the 5 most important publications; an existing Google Scholar Profile should be free from errors
• Research profile and research statement about the planned scientific work
• Record of classes taught and a teaching statement
• Record of projects acquired; the funding amount attributed to the own group/ own person should be clearly indicated

Shortlisted applicants will have to present a teaching skills portfolio prior to their interview (http://www.zuv.uni-freiburg.de/formulare/lehrkompetenzportfolio-formblatt-en.doc).