Professorship (W3) in Statistics
Job description:
We seek an internationally recognized outstanding scientist in the
area of mathematical statistics. Possible research areas include
statistical methods for high dimensional and/or big data,
mathematical-statistical foundations of machine learning, statistics of
complex networks or spatial statistics. The new research group is
expected to contribute to the research focus ‘Stochastic Models’
within the KIT Department of Mathematics and to bridge the gap
between theory and applications, by collaborating with applied
partners (e.g. in the natural sciences, engineering, economics,
computer science) at KIT. As a Research University in the Helmholtz
Association, KIT offers unique collaborative opportunities, facilitated
by the newly founded KIT-Center MathSEE (Mathematics in
Sciences, Engineering and Economics) and by broad interdisciplinary
research communities.
The successful candidate will take part in teaching the broad
spectrum of courses in probability and statistics at the Institute of
Stochastics. In particular, she or he will assume responsibility for the
statistics education of mathematics students and of students in other
departments.
The appointed professor will take part in the collegial governance of
the Institute of Stochastics and the academic self-governance of the
KIT Department of Mathematics. She or he is expected to teach (and
contribute to governance) in German within a reasonable amount of
time.
Qualification: A “Habilitation” degree or equivalent scientific and teaching
qualifications are required. The conditions of employment are
according to § 47 LHG (Law of Baden-Württemberg on Universities
and Colleges).
Institute: Division V - Physics and Mathematics, KIT Department of
Mathematics, Institute of Stochastics
Contract duration: permanent
Starting date: October 1st, 2020
Application up to: October 6th, 2019
Contact person in linemanagement:
For questions concerning the position, Prof. Dr. Nicole Bäuerle can
be contacted, phone: +49-721-608-48152, e-mail:
nicole.baeuerle@kit.edu.
Karlsruher Institut für Technologie
Personalservice (PSE)
Kaiserstraße 12
76131 Karlsruhe
http://www.pse.kit.edu
Application: Applications with the usual resume (including a curriculum vitae, a
summary of teaching and research experiences, a teaching and
research plan and a list of publications with an indication of the five
most important items) should be sent to Dekan der KIT-Fakultät für
Mathematik, Karlsruher Institute für Technologie (KIT), Kaiserstraße
12, 76131 Karlsruhe, Germany, preferably in electronic form to
bewerbungW3@math.kit.edu.
KIT is an equal opportunity employer. Women are especially
encouraged to apply. Applicants with disabilities will be preferentially
considered if equally qualified.
Karlsruher Institute of
Technology
Personalservice
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