Professor (University of Düsseldorf) & Scientific Director of Knowledge Technologies for the Social Sciences (GESIS)
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University of Potsdam
Dr. rer. nat. (PhD), Computer Science
January 1, 2002 – January 1, 2004
Berufsakademie Heidenheim (Germany) & The Open University (UK)
Dipl. Wirtschaftsinformatiker (BA), BA (hons), Business Information Systems
January 1, 1998 – January 1, 2001
University of Düsseldorf
Professor
July 1, 2018 – Present
GESIS - Leibniz Institute for the Social Sciences
Scientific Director of Knowledge Technologies for the Social Sciences
July 1, 2018 – Present
Cologne
L3S Research Center
Group Leader - Data Science, Web Mining, Artificial Intelligence
June 1, 2011 – Present
Hannover-Braunschweig-Göttingen-Wolfsburg Region
The Open University
Senior Research Fellow (Knowledge Media Institute, KMI)
June 1, 2006 – May 1, 2011
Milton Keynes, England, United Kingdom
Fraunhofer-Gesellschaft
Research Associate
January 1, 2001 – April 1, 2006
Berlin Metropolitan Area
I-D Media AG
Software Developer
March 1, 1999 – October 1, 2000
Berlin Germany
SoftM Stuttgart GmbH (now Innovabee GmbH)
Software Developer
October 1, 1998 – March 1, 1999
Stuttgart Region
Cultural Fit Analysis
The candidate's career path is heavily weighted towards academia and research, culminating in a 'Professor' role. While this aligns perfectly with the 'targetRole' of Professor, the diversity of projects and breadth of skills outside of a purely academic context are not explicitly detailed. The candidate's experience is highly specialized within research institutions, which may indicate a strong fit for a research-intensive academic culture but less so for a fast-paced, product-driven corporate environment, if that were the target. Given the target role is Professor, the cultural fit is strong for an academic setting.
Soft Skills & Operational Fit
The candidate's extensive experience in academic leadership roles suggests strong communication, mentorship, and strategic planning skills. The roles as Scientific Director and Group Leader imply experience in managing teams and projects, which are crucial for operational fit. However, specific details on collaboration styles or stress handling are not available from the provided data.