Postdoctoral Research fellow with expected full-time employment - E 13 TV-L HU (third-party funding, limited for presumably 3 years)

     
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Humboldt-Universität zu Berlin - Abteilung für Personal und Personalentwicklung

Postdoctoral Research fellow with expected full-time employment - E 13 TV-L HU (third-party funding, limited for presumably 3 years)

S chool of Business and Economics

The recently granted Emmy Noether group Regression Models beyond the Mean - A Bayesian Approach to Machine Learning invites applications for a position to contribute to the development and application of statistically informed models at the interface between Bayesian (nonparametric) methods and machine learning. The research position is associated with the working group of Applied Statistics at the School of Business and Economics at Humboldt-Universität Berlin. Opportunities for own scientific qualification (career development) are provided, see ?url=https%3A%2F%2Fwww.wiwi.hu-berlin.de%2Fen%2Facademic-career%2Facademic-career?set_language=en&module=jobs&id=148070" target="_blank" rel="nofollow">https://www.wiwi.hu-berlin.de/en/ac ademic-career/academic-career?set_l anguage=en for an overview and further links. The position funded by the German Research Foundation (DFG) within the Emmy Noether programme.

Completed Master and PhD in Statistics, Mathematics, Computer Science or related field with specialisation in Statistic or Data Science or Mathematics; a strong background in at least one of the following fields: Bayesian statistics, computational methods, machine or statistical learning approaches, advanced regression modelling; good mathematical skills required; substantial experience in scientific programming with Matlab, Python, C/C++, R or similar; strong interest in developing novel statistical methodology and its applications in various fields such as economics or natural and life sciences; a very good communication skills and team experience, proficiency of the written and spoken English language (German is not obligatory)

We offer the unique environment of researchers and leading international experts in the fields. The vibrant international network includes established collaborations in Singapore and Australia. The positions offer potential to closely work with several applied sciences. Information about the research profile of the research group and further contact details can be found through the following link: ?url=https%3A%2F%2Fwww.wiwi.hu-berlin.de%2Fen%2Fprofessuren%2Fvwl%2Fstatistik%2Fteam%2Fkleinadj&module=jobs&id=148070" target="_blank" rel="nofollow">https://www.wiwi.hu-berlin.de/en/pr ofessuren/vwl/statistik/team/kleinadj .

Please send your application (including a CV with list of publications, a motivational statement (at most one page) explaining the applicant’s interest in the position as well as their relevant skills and experience, copies of degrees/university transcripts, names and email addresses of at least two professors that may provide letters of recommendation directly to the hiring committee), quoting reference number DR/134/19 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 single PDF file  to nadja.klein [at] hu-berlin[.]de . Please indicate "Research Position Emmy Noether" and which position applied for in the subject line. For further information please contact the project leader Prof. Dr. Nadja Klein ( nadja.klein [at] hu-berlin[.]de ).

 

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 ?url=www.hu-berlin.de%2Fstellenangebote&module=jobs&id=148070" target="_blank" rel="nofollow">www.hu-berlin.de/stellenangebote , which gives you access to the legally binding German version.

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