2 PhD positions in Bielefeld, Germany

Please consider the following job opening:

The Faculty of Economics offers
*two part-time research positions*
starting as soon as possible (E13 TV-L, non-permanent position)

Your Tasks

The goal of the Chair of Data Science is to extract knowledge from data
in order to make it useful for medicine, the environment and society. To
this end, we represent the field of Data Science in research and
teaching. We are looking for two new members to strengthen and
complement our chair, especially for tasks in teaching and in the
context of the projects “Uncertainty Quantification" and "Kinbiotics",
which are funded by the Helmholtz Association and the German Federal
Ministry of Health.

The tasks mainly comprise:
- research in the areas of stochastic modeling and statistical
inference, for example, stochastic processes, uncertainty quantification
and machine learning, scientific analysis and development of research
software, collaboration in third-party funded research projects of the
chair, as well as data analysis with applications in medicine (60 %)
- teaching in the field of statistics and data science (depending on the
final assignment of tasks to the extent of up to 4 LVS), including
assistance with examinations and supervision of seminar papers and
theses (25 %)
- project management, organization of events and workshops (possibly in
cooperation with other institutions involved in the project) as well as
collaboration in academic self-administration (15 %)


We expect
- completed university studies (Master's degree or equivalent) in the
field of statistics, data science, mathematics or related subjects
- very good knowledge in the field of statistics or stochastics
- very good command of written and spoken English
- interest in interdisciplinary collaboration, especially in the field
of medicine/natural sciences
- independent working style and organizational skills
- ability to work in a team

Preferable qualifications
- research experience in the field of statistics and in contributing to
- good knowledge in the development of research software (especially in
the programming language R)
- experience in teaching statistics
- experience in interdisciplinary collaboration
- good knowledge of German
- international experience in higher education


Salary will be paid according to Remuneration level 13 of the Wage
Agreement for Public Service in the Federal States (TV-L). As stipulated
in § 2 (1) sentences 1 of the WissZeitVG (fixed-term employment), the
contract will end after three years. In accordance with the provisions
of the WissZeitVG and the Agreement on Satisfactory Conditions of
Employment, the length of contract may differ in individual cases. The
employment is designed to encourage further academic qualification. The
position is advertised as 65 % part-time job. In individual cases, this
percentage may be reduced on request, as long as this does not conflict
with official needs.

Bielefeld University is particularly committed to equal opportunities
and the career development of its employees. It offers attractive
internal and external training and further training programmes.
Employees have the opportunity to use a variety of health, counselling,
and prevention programmes. Bielefeld University places great importance
on a work-family balance for all its employees.

Application Procedure

For full consideration, your complete application (incl. curriculum
vitae, certificates and diplomas, two references (contact details) as
well as letter of motivation with detailed explanation of how the
necessary and desirable qualifications, knowledge and skills are met)
should be received via either post (see postal address below) or email
(a single PDF document) sent to by
March 3rd, 2021. Please mark your application with the identification
code: wiss21022. Please do not use application portfolios and send only
photocopies of original documents because all application materials will
be destroyed at the end of the selection procedure. Further information
on Bielefeld University can be found on our homepage at Please note that the possibility of privacy
breaches and unauthorized access by third parties cannot be excluded
when communicating via unencrypted e-mail. Information on the processing
of personal data is available

Postal Address

Universität Bielefeld
Fakultät für Wirtschaftswissenschaften
Frau Prof. Dr. Christiane Fuchs
P.O. Box: 10 01 31
33501 Bielefeld

Name: Prof. Dr. Christiane Fuchs
Phone: +49 521 106-2576

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