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Junior Professor of Data Science

vor 3 Monaten


Bayreuth, Bayern, Deutschland Universität Bayreuth Vollzeit
The University of Bayreuth is a research-oriented university with internationally competitive, interdisciplinary focus areas in research and teaching. The Faculty of Law, Business & Economics at the University of Bayreuth is currently seeking to appoint a

Junior Professor of Data

Science (salary grade:
W1) with

tenure track to W3
who will also play a

leading role in the Fraunhofer Institute for Applied Information Technology FIT (branch Business & Information Systems Engineering)

to commence as soon as possible as a fixed-term civil service position.

The University of Bayreuth is a research-oriented university with internationally competitive, interdisciplinary focus areas in research and teaching.

Fraunhofer FIT is shaping the future by linking knowledge from information technology with questions from other areas of life with the aim of developing tailor-made solutions that support people in their work processes and help them in their leisure time.


The University of Bayreuth's Faculty of Law, Business & Economics and Fraunhofer FIT – in particular, its branch Business & Information Systems Engineering (FIT-WI) – work together in the field of Information Systems.

The combination of the professorship with a leading role at Fraunhofer FIT is based on the expectation that a significant contribution will be made to the inter-university cooperation of the University of Bayreuth with the Fraunhofer FIT, in particular FIT-WI.

In addition, the professorship will assume a leadership role in the FIM Research Institute for Information Management at the University of Bayreuth.


We are looking for a dynamic and creative scholar with the ability to work independently and with a high potential for development in research, teaching, and transfer.

A clear research profile with a focus on data science is expected, i.e., on the development and application of modern methods, processes, and systems of data acquisition, data processing, and data analysis in a business context.

A focus on design-oriented and analytical-quantitative methods would be an asset.

Initial publication successes in renowned scientific journals are expected as well as initial experience with both publicly and industry-funded projects and the ambition to establish and lead a research group in a dynamic environment.

The position therefore requires very good teamwork skills and initial experience working in highly connected, interdisciplinary teams.

The successful candidate will be involved in research and teaching as well as in third-party funded projects. This requires intensive and proactive collaboration with public funding bodies and cooperation partners from industry. An active role in the faculty's bachelor's and master's courses (e.g. in Business Administration, Information Systems, Finance & Information Management, and Health Economics), in both German and English, is desired, as is the willingness to work together with employees at all Fraunhofer FIT locations on an interdisciplinary basis.

You can expect a wide range of projects with a high degree of practical relevance, a great deal of creative freedom in research, and an environment that actively promotes young talent and offers attractive development opportunities.


The complete vacancy notice including further information on the formal employment requirements can be found at (University / Work at the University /
Job Vacancies).


Applications (CV, outlining education and academic career, list of publications, list of courses taught, experience obtaining external funding, as well as copies of diplomas and certificates) are to be submitted electronically to the Dean of the Faculty of Law, Business & Economics, Prof.

Dr.

André Meyer, via
https:
//uni-
by
30 September 2024. Applicants are welcome to direct questions and requests for further information to the Dean at
. Application documents will be forwarded to Fraunhofer FIT in compliance with data protection regulations; information on the collection of personal data in application procedures overseen by the Fraunhofer-Gesellschaft can be found at
. After the conclusion of the appointment process, application documents will be permanently disposed of in accordance with data protection law.