[Opt-Net] Research Assistant Position (f/m/d) in Optimization (Ref. 22/40) at WIAS, Berlin, Germany
Heike Sill
sill at wias-berlin.de
Tue Nov 8 11:22:11 CET 2022
WIAS invites applications for a
Research Assistant Position (f/m/d)
(Ref. 22/40)
in the Research Group
”Nonsmooth Variational Problems and Operator Equations”
(Head: Prof. Dr. M. Hintermüller) to be filled at the earliest possible
date.
Field of work: Optimization with partial differential equations and
variational inequalities. The holder of the position is qualified in a
modern field of optimization with partial differential equations. Of
particular interest are non-smooth coupled systems and data-driven (e.g.
machine learning) approaches to modeling and optimization, variational
problems in mathematical image processing or nonlinear inverse problems.
In addition to analytical considerations, the development and
implementation of numerical solution methods are of central importance.
Wanted: A motivated, outstanding researcher with a very good degree and
excellent doctorate in mathematics as well as previous experience in the
fields mentioned above with the willingness to take on responsibility
for interdisciplinary projects. Further experience within the framework
of independent research in a postdoctoral phase is desired as well as
very good knowledge in one or more of the areas
- Optimal control with partial differential equations,
- (Quasi-)Variational inequalities and their optimal control,
- Non-smooth variational problems with applications in image processing
including experience in the computer-aided realization of the associated
numerical solution methods. This position is associated with the
production of publications in international peer-reviewed journals,
presentation of the results at international conferences and co-support
of students working at WIAS in this field as bachelors, masters or
doctoral students.
What we offer:
1. Close mentorship: the postdoc candidate will receive responsible and
careful mentorship. We emphasize fostering a healthy mentor-mentee
relationship.
2. WIAS Berlin is a premier research institution known for its strength
in optimization, optimal control, dynamical systems, and applied
mathematics in general. It has hosted flagship conferences in
mathematical optimization such as ICCOPT 2019.
3. A certified (Audit berufundfamilie) family-friendly work environment.
4. Berlin is one of the most culture-rich and diverse international
cities in the world. It offers endless opportunities to enjoy life
outside work, while being very affordable compared to other major
cities. Neither the job nor living in Berlin requires German
language (although WIAS offers free German courses). We highly
welcome international applications. Scientifically, Berlin offers a
rich landscape with numerous opportunities for research, as well as
job prospects in academia and industry.
Technical queries should be directed to Prof. Dr. Michael Hintermüller
(Michael.Hintermueller at wias-berlin.de
<mailto:Michael.Hintermueller at wias-berlin.de>). The position is
remunerated according to TVöD Bund and is initially limited to two
years, while a long-term perspective is envisioned.
The Weierstraß Institute is an equal opportunity employer. We explicitly
encourage female researchers to apply for the offered position. Among
equally qualified applicants, disabled candidates will be given preference.
How to apply:
Please upload your complete application documents (motivation letter,
detailed CV, certificates, list of MSc courses and grades, copy of the
master thesis, reference letters, etc.) via our applicant portal
<https://short.sg/j/24675731>(https://short.sg/j/24675731) by November
27, 2022using the button “Apply online <https://short.sg/a/24675731>”.
We are looking forward to your application!
See here for more information:https://short.sg/j/24675731
<https://short.sg/j/24675731>
--
Administration
Weierstrass Institute for Applied Analysis and Stochastics
Mohrenstrasse 39
10117 Berlin, Germany
Phone: +49 (0)30 20372 557
Fax: +49 (0)30 20372 329
URL:http://www.wias-berlin.de/~sill/?lang=1
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