Department of Pattern Recognition

PostDoc position: Multivariate statistics and statistical pattern recognition

The candidate will work on the development of innovative methods for multidimensional probabilistic model-based visual information analysis and modeling, visual quality criteria, bidirectional texture function modeling and applications.

Results are expected to be of high scientific quality and publishable in high level conference publications and journals.

Qualifications:

The ideal candidate should have a Ph.D. with a strong background in probability theory or mathematical statistics and proven experience in

• computer vision and pattern recognition;
• programming skills in Matlab, C/C++.

The postdoc position is opened for 24 months (starting as soon as possible), in Prague (Czech Republic) with possibility to move to the tenure track in the institute.

If you are interested, please send your detailed CV, list of publications, and the application letter to: prof. Michal Haindl, Head of the Pattern Recognition department.