Friday, February 25, 2022

[DMANET] 2x Postdoc, University of Bremen, Discrete Optimization, Uncertainty, Parameterized Complexity

Two Postdoc positions at the University of Bremen, Germany
in Discrete Optimization, Parameterized Complexity and/or Optimization
and Uncertainty

for 1 year full-time (TV-L 13)
application deadline: April 1, 2022

Two postdoc researcher positions are available at the University of
Bremen in the Faculty of Mathematics and Computer Science in a joint
project headed by Nicole Megow, Daniel Schmand and Sebastian Siebertz.

The three groups' research areas embrace discrete and combinatorial
optimization, approximation algorithms, optimization under uncertainty
such as online, stochastic and robust optimization as well as
learning-augmented methods, algorithmic game theory, algorithmic graph
structure theory, parameterized complexity and logic in computer science.

The successful applicant is expected to do innovative research in the
joint project aiming at integrating learning-based methods into
algorithm theory and optimization. It is funded by a seed grant of the
research cluster Minds, Media, Machines (http://minds-media-machines.de).

The ideal candidate holds an excellent PhD degree in mathematics,
theoretical computer science or a related area, and should have a strong
publication record in the areas of discrete optimization and algorithm
theory. A background in one or multiple of the mentioned areas is
desirable. In addition, the successful candidate is highly
self-motivated, passionate about her/his work, and has a good ability to
work both independently as well as in a team. Good communication skills
and solid English skills, both oral and in writing, are expected.

The position is a full-time position for 1 year (an extension might be
possible), paid according to the Federal German Payment scale TV-L 13.

Applications will be reviewed starting from April 1st, 2022, until the
position is filled. The intended starting date is August 1, 2022.

Please send your application as a single pdf(!) to
seed-mss@uni-bremen.de. The application should include
- a motivation letter describing your background and reasons for
applying for this position
- a detailed CV with a list of publications
- a 1-page research statement describing research interests and goals
- names and email addresses of two academic references

Questions regarding the position should be directed to
seed-mss@uni-bremen.de (Nicole Megow, Daniel Schmand, Sebastian Siebertz).
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