Professor of Digital HR Management and Analytics

Darmstadt University of Technology School of Management


Professor of Digital HR Management and Analytics

The Technical University of Munich (TUM) invites applications for the position of Professor of »Digital HR Management & Analytics« to begin in winter semester 2020/21, or earlier/later by mutual agreement. While we are particularly looking to hire young, international talents as tenure track assistant professors (W2 fixed term position with tenure track to a tenured W3 position), we may also consider exceptional applications for a tenured W3 position as associate or full professor. The professorship is endowed by the Dieter Schwarz Foundation and will be located in Munich/Garching.

Scientific environment

The professorship belongs to the TUM School of Management. The school is currently listed one of the strongest German business school for research. We aim to create real impact through our research contributing to solving humanity’s greatest challenges. Existing members of the business school publish in top business, economics and general science journals. The professors of the School have access to an experimental lab, a subject pool as well as to major databases for research. The School has close ties to industry.


The responsibilities include research and teaching as well as the promotion of early-career scientists. We seek to appoint an expert in the research area of (digital) HR management/HR analytics. The teaching load includes courses in the university’s bachelor’s and master’s programs. We expect the successful candidate to successfully attract third-party funding.


We are looking for candidates with research and teaching experience at the highest international standards, according to the relevant career level. A university degree and an outstanding doctoral degree as well as pedagogical aptitude, including the ability to teach in English, are also prerequisites. We further expect substantial research experience outside of Germany, and the ability to gain and to lead cooperative research projects. The candidates should have demonstrated proficiency through top tier publications in HR related research fields. Candidates with an HR analytics focus or a focus on other aspects of digital HRM such as selection or performance management are preferred, but candidates from other relevant or related subfields are also encouraged to apply.

Our Offer

Based on best international standards and transparent performance criteria, TUM offers a merit-based academic career option for tenure track faculty from Assistant Professor through a permanent position as Associate Professor, and on to Full Professor. The regulations of TUM Faculty Recruitment and Career System apply. TUM provides excellent working conditions in a lively scientific community, embedded in the vibrant research environment of the Greater Munich Area. The TUM Munich Dual Career Office (MDCO) provides tailored career consulting to the partners of newly appointed professors. MDCO also provides assistance with relocation and integration of new professors, their partners and accompanying family members.

Your Application

TUM is an equal opportunity employer. As such, we explicitly encourage applications from women. Applications from disabled persons with essentially the same qualifications will be given preference.

Application documents should be presented in accordance with TUM’s application guidelines for professors. These guidelines and detailed information about the TUM Appointment and Career System are available on Here, you will also find TUM’s information on collecting and processing personal data as part of the application process. As long as the international travel restrictions due to the Corona pandemic are in force, the lectures and interviews will be conducted digitally/virtually as needed.

Please send your application no later than June 28, 2020 to the Dean of the TUM School of Management, Prof. Gunther Friedl, Technical University of Munich, Arcisstrasse 21, 80333 Munich, Email address for applications:


In your application, please refer to


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