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Humboldt-Universität zu Berlin | School of Business and Economics | Statistics | News | Junior Professorship in "Applied Statistics and Data Science" offered

Junior Professorship in "Applied Statistics and Data Science" offered



Reference number: JP/005/23
Location: School of Business and Economics, Chair of Statistics, Spandauer Strasse 1, 10178 Berlin, Germany 
Application deadline: 28 December 23

The School of Business and Economics is looking to fill a 

Junior Professorship in “Applied Statistics and Data Science”

starting 1 October 2025.

This is a tenure track position, with an initial level W1 and with the possibility of a promotion to level W3. In order to verify whether the individual performance meets the requirements of permanent employment, an evaluation process will be opened not later than after five years of service. Tenure track professors at the HU Berlin are expected to carry out research and teaching duties, as well as be active on various university committees, in the promotion of young scientists and acquire leadership and management skills. The actual requirements as outlined in the framework catalogue [https://hu.berlin/tenuretrack_katalog] will be specified in the course of the appointment process.

The professorship is to support the faculty in teaching and research in the field of its denomination. In teaching, participation in the bachelor's, master's and doctoral programs of the faculty as well as in the Berlin-wide joint master's program in statistics is expected. In particular, the teaching curriculum of the faculty is to be strengthened by new offers at the interface of statistics and machine learning.

In research, the professorship is to conduct research that develops and applies methods in the field of statistics and data science. Desirable are, for example, methodological research foci in the area of Statistical and Machine Learning, Causal Inference, Statistical Inference for Machine Learning Methods, or Probabilistic Machine Learning or related areas. The research results should be published in the relevant international journals and be presented at relevant international conferences.

It is expected that the professorship will work closely with members of the faculty within joint research projects. In particular, cooperation with the current DFG-funded collaborative research networks, the AI research unit "Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data" and the Transregios "Accounting for Transparency" and "Rationality & Competition" is explicitly desired.

The applicants must meet the legal requirements for professorial appointments in conjunction with § 102c combined with § 102a of the ‘Berliner Hochschulgesetz’.

HU is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Researchers from abroad are welcome to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration history are specifically encouraged to apply.

Application to
 

Please send your application including your CV, a letter of motivation, a research exposé, your job market paper (or other scientific work) as well as two reference letters, quoting the reference number JP/005/23 to: Humboldt-Universität zu Berlin, Dean of the School of Business and Economics, Prof. Dr. Daniel Klapper, Unter den Linden 6, 10099 Berlin only in electronic form in one pdf file to: dekanat.wiwi@hu-berlin.de.

For further information, please contact Professor Sonja Greven (sonja.greven@hu-berlin.de) and Professor Stefan Lessmann (stefan.lessmann@hu-berlin.de).

Data protection information on the processing of your personal data in the context of the tender and selection procedure can be found on the homepage of Humboldt-Universität zu Berlin: https://hu.berlin/DSGVO.

Please visit our website www.hu-berlin.de/stellenangebote, which gives you access to the legally binding German version.