The University of Cologne, Germany, invites applications for a faculty position at
Full Professor (W3) level
The University of Cologne is one of the largest universities in Germany. It conducts internationally competitive research and covers a wide range of subjects. With its six Faculties and its inter-Faculty centers, it offers a broad spectrum of academic disciplines and internationally outstanding profile areas.
The position is based in the Faculty of Management, Economics, and Social Sciences, which is consistently ranked among the top European faculties in research and teaching.
The position is part of a hiring initiative that is a result of a successful application of the University of Cologne for the build-up of the Excellence Start-Up Center GATEWAY (ESC GATEWAY) at the University of Cologne. The initiative is funded by the Ministry of Economics, Innovation, Digitalization, and Energy of the State of North Rhine-Westphalia. The University of Cologne aims to foster entrepreneurial thinking and acting in outstanding research areas. The position is available as of April 2021 or based on mutual agreement.
We invite applications from strong candidates in Business Analytics. The candidate should have published in top journals in management, information systems, machine learning, or artificial intelligence. The candidate is expected to integrate her or his work into the collaborative research environment of the faculty. Her or his research should relate to themes that are of relevance for start-ups and spin-offs. The candidate is expected to teach in the master and bachelor programmes. Specifically, that includes taking on the position of Academic Director for the new master programme in “Business Analytics”. The teaching should have a focus on entrepreneurship- and digital innovation-related topics, foster students’ own entrepreneurial behaviour, and promote start-ups from the university. The candidate should possess quantitative analytical skills and have expertise in applied artificial intelligence for business, machine learning, or big data for decision-making. She or he must have technical skillsets in business data analytics and programming. A candidate’s own entrepreneurial experience (e.g., own start-up experience, mentoring or coaching of a university start-up), as well as experience in raising research funds, is appreciated.
The candidate is expected to become an active member of the ESC GATEWAY creating a strong link between the Faculty of Management, Economics, and Social Sciences and ESC GATEWAY. This includes active participation and support of planning and implementation measures to promote entrepreneurship and start-ups at the University of Cologne.
Applicants will be hired in accordance with § 36 of the University Law of the State of North-Rhine Westphalia.
The University of Cologne is committed to equal opportunities and diversity. Women are especially encouraged to apply and will be considered preferentially in accordance with the Equal Opportunities Act of North Rhine-Westphalia (Landesgleichstellungsgesetz – LGG NRW). We also expressly welcome applications from people with disabilities / special needs or of equal status.
The application should consist of the following documents: cover letter, curriculum vitae, a list of publications, a list of research and industry grants, a teaching record, and teaching evaluations. Applications should be submitted via the Academic Job Portal of the University of Cologne (https://professorships.uni-koeln.de/) no later than 19.08.2020 addressing the Dean of the Faculty of Management, Economics and Social Sciences. For further information, please contact Professor Rosenkranz (rosenkranz (a) wiso.uni-koeln.de).Läs mer
|Titel||Professorship (W3) in Business Analytics|
|Employer||University of Cologne|
|Job location||Frangenheimstraße 4, 50931 Cologne|
|Publicerad||maj 28, 2020|
|Sista ansökningsdatum||augusti 19, 2020|
|Ämnen||Verksamhetsstyrning,   Entreprenörskap,   Artificiell intelligens,   Informationssystem (affärsinformatik),   Beteendeekonomi,   Informationssystem,   Ledning,   Big data,   Maskininlärning,   |