Research fellow (m/f/d) at the Chair of Statistics with expected full-time employment

E 13 TV-L HU (third-party funding limited to 3 years)

The Chair of Statistics at Humboldt-Universität zu Berlin is looking for a research fellow within the project "Flexible regression methods for curve and shape data" funded by the German Research Foundation (2nd funding period). This project in the field of functional data analysis develops statistical methods for curve and shape-valued observations.

Job description:

• scientific service in research in the third-party funded project "Flexible regression methods for curve and shape data"
• development of statistical methods in the field of functional data analysis
• scientific dissemination of the project results
• tasks for personal scientific qualification

Requirements:

• completed scientific university education in statistics, mathematics, data science or a related field with statistical methodological focus, PhD desirable
• very good command of written and spoken English (min. B2)
• solid command of programming languages (preferably R and Python)
• ability to develop statistical methods and engage in interdisciplinary collaboration
• strong teamwork and communication skills

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. Please send your application (including cover letter, CV, relevant certificates and grades as well as contact details of two academic references) within 4 weeks, referencing the job ID DR/192/25 to Humboldt-Universität zu Berlin, Faculty of Economics and Business Administration, Prof. Dr. Sonja Greven (located: Spandauer Straße 1), Unter den Linden 6, 10099 Berlin or preferably in electronic form as a single PDF file (max. 10 MB) to stat@wiwi.hu-berlin.de with CC to sonja.greven@hu-berlin.de. For further information please contact Prof. Sonja Greven.

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 history are specifically encouraged to apply. Since we will not return your documents, please submit copies in the application only. 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.