PhD student or Postdoc in DFG project at Humboldt-Universität zu Berlin

The Chair of Statistics (Prof. Dr. Sonja Greven) at the Humboldt-Universität zu Berlin is looking for a Research fellow (m/f/d) with expected 75 % employment - E 13 TV-L HU (third party funding limited to 3 years) within the project 'Flexible density regression methods' funded by the German Research Foundation. The position is limited to three years. There is the possibility to do a PhD. Postdoctoral researchers can be employed at 100 % for 2 years.

Job description:
  • Scientific research in the third-party funded project 'Flexible density regression methods'
  • Assignments for the own scientific qualification (PhD)
  • Completed academic degree in statistics, mathematics or a related field with statistical methodological focus
  • interest in the development of statistical methods as well as in interdisciplinary cooperation
  • good communication skills
  • very good command of written and spoken English
  • programming experience (preferably in the statistical software package R)
We offer
integration into a lively and interdisciplinary team, family-friendly working hours and an excellent research environment. We support career development through opportunities for further training and mentoring.

More information on the project can be found at

Please send your application (including a letter of motivation, a curriculum vitae, copies of relevant certificates and grades as well as contact details for an academic reference), quoting the reference number DR/044/23 and the subject „ Application for Density Regression position “ until May 31, 2023, to: Humboldt-Universität zu Berlin, School of Business and Economics, Prof. Dr. Sonja Greven, Unter den Linden 6, 10099 Berlin, or preferably by email in one pdf file (not larger than 10 MB) to Further enquiries can also be addressed to her.

The Humboldt-Universität zu Berlin is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration background are specifically encouraged to apply. Since we will not return your documents, please submit copies in the application only.

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