Open position as a research fellow in Statistics at the Humboldt University of Berlin
The working group of Applied Statistics at the School of Business 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
learning. Starting date is as soon as possible.
Scientific research and the acquisition of third-party funding at the
working group of Ap-plied Statistics. The prospective candidate will develop
statistical methods that build a bridge between machine learning (e.g. deep
learning) techniques and advanced Bayesian approaches. 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
ge=en for an overview and further links.
Outstanding completed Master or PhD in Statistics, Mathematics, Computer
Science (specialisation in Statistics/Mathematics), Econometrics or a
related field of research re-quired. 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 a high interest in the development of statistical methodology and its
application in various ap-plied areas. We expect good communication skills
and proficiency in written and spoken English.
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. Infor-mation 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, list of publications (for the Postdoc position),
university degrees/transcripts, further certificates and two reference
letters - via Email as a single pdf file (no larger than 10 MB) to Prof. Dr.
Nadja Klein, email@example.com. Further enquiries can also be
ad-dressed to her. The review of applications will begin on the 10th of June
and continue until the position is filled.
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.