Research fellow with expected 2/3 part-time employment - E 13 TV-L HU

ArbeitsortBerlin, Berlin, Deutschland


Humboldt-Universität zu Berlin - Abteilung für Personal und Personalentwicklung

Research fellow with expected 2/3 part-time employment (with a doctoral degree, expected full-time employment) - E 13 TV-L HU (third-party funding, limited until presumably 30.06.2021 with possible further extension)

S chool of Business and Economics

Scientific research, teaching and the acquisition of third party funding at the working group of Applied Statistics. The prospective candidate will develop statistical methods that build a bridge between machine learning (e.g. deep learning) techniques and advanced Bayesian approaches. Further tasks include teaching responsibilities. Opportunities for own scientific qualification (PhD)/career development are provided (see ?" target="_blank" rel="nofollow"> ademic-career/academic-career?set_l anguage=en for an overview and further links)

Completed Master or PhD in Statistics, Mathematics, Computer Science (specialisation in Statistics/Mathematics), Econometrics or a related field of research required. Furthermore, advanced knowledge in at least one of machine or statistical learning, computational methods, Bayesian statistics and flexible regression models is necessary. Good mathematical skills and experience in scientific programming with Matlab, R, C/C++, Python or similar required. The prospective candidate is expected to have high interest in the development of statistical methodology and its application in various applied areas. Good mathematical understanding required. We expect good communication skills and proficiency in written and spoken English.


We offer a vibrant, interdisciplinary environment of ambitious researchers and a strong international network, including established collaborations in Singapore and Australia. The position offers potential to closely work with several applied sciences. Information about the research profile and further contact details can be found through the following link: ?" target="_blank" rel="nofollow"> ofessuren/vwl/statistik/team/kleinadj

Please send your application (including a motivation letter, an academic curriculum vitae and contact information for two academic references) by June 26th, quoting reference number DR/110/19 to the Humboldt-Universität zu Berlin, School of Business and Economics, Prof. Dr. Nadja Klein, Unter den Linden 6, 10099 Berlin or preferably as a PDF file (no larger than 10 MB) to nadja.klein [at] hu-berlin[.]de . Further enquiries can also be addressed to her.

HU 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.

Please visit our website ?" target="_blank" rel="nofollow">, which gives you access to the legally binding German version.


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