PhD opening in statistics at TUM

The Technical University Munich invites applications for a

PhD opening

at the Professorship Applied Mathematical Statistics within the
Department of Mathematics.

Our work areas:

The successful candidate will join and participate in research and
teaching activities.

Our research interests are in the area of statistical dependence
modeling (
and their application to challenging problems in engineering and life
Current projects involve

1. Copula based flight safety analyses (CopFly) within TUM’s
International Graduate School
of Science and Engineering (IGSSE) using non-linear state space models

2. Modeling time/space dependence structures using vine copulas

3. Development of efficient Bayesian methods involving vine copula based

The teaching includes for example the leading of exercise classes and
seminars as well as
help in the supervision of student theses. Since teaching in our Master
is conducted in English, it is possible to satisfy these duties using
excellent English
communication skills. German language skills are however very useful.

Our requirements:

You have graduated with high success from a Master (or equivalent)
program in statistics or
mathematics. You have excellent communication skills in English or German.
You are motivated by challenging questions in applied statistics and
your solid computing skills
include programming in C++ etc, parallel computing and statistical
software like R.

We offer a full time position (13 TV-L) with 5 hours of teaching duties
per week,
which can be extended for maximal 4 years in a very active research group
for copula based modeling.

The Technical University of Munich aims to increase the number of women
on its faculty,
and therefore specifically invites applications from women.

We like to point out that the application of qualified persons with
disabilities are welcome.

To receive full consideration, applications must include vita,
transcripts, at least one letter of reference.

Applications must be received before March 1, 2020 and should be
submitted via email to

For further information please contact Prof. PhD Claudia Czado at the
given email

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