Tuesday, March 1, 2022

[DMANET] PhD/Postdoc Position: Combinatorial Image Analysis at TU Dresden

At the Faculty of Computer Science of TU Dresden, the Chair of Machine
Learning for Computer Vision offers a position as

Research Associate / PhD Student / Postdoc "Combinatorial Image
Analysis" (m/f/x)
(subject to personal qualification employees are remunerated according
to salary group TV-L E13, 100%)

starting at the earliest possible date. The position is limited for
three years with the option of extension. The position is generally
suitable for candidates seeking part-time employment. Please indicate
your request in your application.

- curiosity-driven basic research of fundamental mathematical
optimization problems in the field of image analysis
- design and analysis of algorithms for solving these problems, exactly
or approximatively
- implementation, empirical analysis and comparison of these algorithms
with respect to real data
- publication of findings and insights in internationally leading
conferences and journals
- strong contributions to teaching in English in the Masters' Program
Computational Modeling and Simulation, esp. by the design and
co-supervision of exercise groups and tutorials and, for postdocs with
sufficient teaching experience, by own lectures.

- very good university degree and, if applicable, PhD degree in
mathematics or computer science or a related discipline
- comprehensive education in mathematics, especially in discrete
mathematics and one area of mathematical optimization (e.g. discrete
optimization, convex optimization)
- curiosity and strong interest in rigorous mathematics
- teaching experience
- very good programming skills in C or C++
- very good scientific writing skills in English.
- Knowledge of German is not required for this position.

Applications from women are particularly welcome. The same applies to
people with disabilities.

Call: https://mlcv.inf.tu-dresden.de/job-offer-mlcv-en.pdf
Deadline: March 18th, 2022
Further information: https://mlcv.inf.tu-dresden.de/
Contact: mlcv@tu-dresden.de
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