tenured full/chaired professorship (W3) position in data & business analytics.
We are seeking qualified applicants for teaching and research in the
area of data & business analytics. The position is to be filled at the
earliest possible date. Applicants should work on business/economic
issues that create a data-driven foundation for operational and
strategic decisions in companies, organizations and markets. They will
further enhance the quantitative orientation of the School and will
have demonstrated their expertise through publications in highly
ranked business or economics journals. Applicants will have strong
methodological expertise in the application or further development of
machine learning approaches and/or statistical and econometric methods
in the fields of predictive or prescriptive analytics. Possible
specializations may include fields such as causal inference or deep
learning. Content-related applications can come from all areas of
business and economics.
The successful applicant will be expected to advance the strategic
initiatives of both the School and the University, including the
acquisition of third-party funding. In addition to providing teaching
to students of business administration and business administration and
engineering, the candidate will be expected to engage in new
interdisciplinary teaching programs, e.g. in the areas of business
mathematics or business informatics/information systems.
The requirements include a doctoral degree and additional research
experience, such as a habilitation (post-doctoral lecturing
qualification) or equivalent achievements gained as a university
researcher or professor or in a research position outside academia.
Ability in and commitment to teaching are essential. The application
should include supporting documents regarding success in teaching.
German is not necessary to begin but will be expected as a teaching
language within the first 5 years.
Applicants are also required to provide an approximately 2-page
description of their intended profile relating to how they propose to
connect to and further develop the teaching and research initiatives
of both the School and RWTH Aachen University. We kindly draw your
attention to the fact that the School of Business and Economics is
currently also
seeking a W3 professor in the field of Hybrid Intelligence in Organizations.
The German opening contains a little more info:
https://www.rwth-aachen.de/global/show_document.asp?id=aaaaaaaabfpyohw
Feel free to contact me for any informal inquiries.
--
Prof. Dr. Marco Lübbecke
RWTH Aachen University
Chair of Operations Research
Kackertstrasse 7
D-52072 Aachen
Germany
fon / fax: +49 241 80-93362 / 92369
marco.luebbecke@rwth-aachen.de
www.or.rwth-aachen.de/luebbecke
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