Open position as a postdoctoral research fellow in Statistical (Deep) Learning at the Humboldt University of Berlin

* Postdoctoral research fellow with expected full-time employment E 13 TV-L
HU (third-party funding, limited 18 months) *

* Job description:
The working group of Statistics and Data Science at Humboldt-Universität
Berlin invites applications for a position to contribute to the research on
theoretical, mathematical and statistical aspects of Bayesian deep mixture
learning and novel methods towards high-dimensional deep density regression
and clustering models. The research position can be associated with Prof.
Klein’s Emmy Noether group funded by the German Research foundation (DFG).
Opportunities for own scientific qualification (career development) are
provided, see
e=en for an overview and further links. The position is to be filled at the
earliest possible date and funded by the Volkswagenstiftung.

* Requirements:
Completed university degree and PhD (preferably with very good marks) in
Statistics, Mathematics, or related field with specialisation in Statistics,
Data Science or Mathematics; a strong background in at least one of the
following fields: Bayesian computational methods, mixture models and
inference therein, variational inference, deep learning, density regression
and clustering, model selection priors, mathematical statistics.
Furthermore, a thorough mathematical understanding; substantial experience
in scientific programming with R, Matlab, Python, C/C++ or similar; very
good communication skills and team experience, proficiency of the written
and spoken English language (German is not obligatory) are essential.
We offer the unique environment of young researchers and leading
international experts in the fields. The vibrant international network
includes established collaborations in Singapore and Australia. The position
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:

* Please send your application (including a CV with list of publications, a
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
directly to the hiring committee) within 4 weeks, quoting reference number
DR/206/20 to the Humboldt-Universität zu Berlin, School of Business and
Prof. Dr. Nadja Klein, Unter den Linden 6, 10099 Berlin or preferably as a
single PDF file
For further information please contact the project leader Prof. Dr. Nadja

* 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.

* Further details can be found here:

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