[Opt-Net] PhD/Postdoc Position: Combinatorial Image Analysis at TU Dresden

[Bjoern Andres]

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.

Tasks:
- 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.

Requirements:
- 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 at tu-dresden.de