Junior Professorship in “Applied Statistics and Data Science”

Humboldt-Universität zu Berlin - School of Business and Economics The School of Business and Economics is looking to fill a Junior Professorship in \"Applied Statistics and Data Science” starting 1 October 2026. This is a tenure track position, with an initial level W1 and with the possibility of a promotion to level W3. No later than 15 months before the end of the junior professorship, an evaluation procedure is initiated with the aim of determining whether the performance requirements for a lifetime appointment have been met. Tenure-track professors at HU Berlin are expected to perform in the areas of research, academic teaching, participation in academic self-administration, promotion of doctoral and postdoctoral students and the acquisition of personnel management skills. The specific performance requirements are determined from the framework catalogue in the course of the appointment procedure. Junior Professorship in \"Applied Statistics and Data Science” Working field: 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. Requirements: 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’. How to apply: 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. 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 until August 8, 2025, quoting the Job ID JP/004/25 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 https://haushalt-und-personal.hu-berlin.de/de/personal/stellenausschreibungen/jp00425 , which gives you access to the legally binding German version.