Open position as a research fellow in Statistics at the Humboldt University of Berlin

At the earliest possible date, the working group of Applied Statistics at
the School of Busi-ness and Economics at Humboldt University Berlin is
seeking for

a research fellow (PhD or Postdoc level)

to contribute to the development and application of statistically informed
models at the interface between Bayesian (nonparametric) methods and machine

Job description:
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. Depending on the candidate’s
academic level the position is initially fixed for 24 months with intended
extension by further 12 months at a 2/3 part-time employment (at a PhD
level) or a 12 months full-time position with intended extension by further
6 months (at a Postdoc level). Opportunities for own scientific
qualification (PhD)/career development are provided, see
e=en for an overview and further links.

Job requirements:
Completed Master or PhD in Statistics, Biostatistics, Mathematics
(specialisation in Statistics/Data science), Computer Science
(specialisation in Statistics/Data Science), 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.

We offer a vibrant, interdisciplinary environment of ambitious (young)
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:

Please send your application (including a motivation letter, an academic
curriculum vitae and two reference letters) no later than 27/05/2019, via
Email as a single pdf file (no larger than 10 MB) to Prof. Dr. Nadja Klein, 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.

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