A PhD studentship at the Department of Mathematics and Computer science, Saarland University, Germany

Department of Mathematics and Computer science, Saarland University, Germany seeks fор a qualified PhD student for the project "Nonlinear eigenproblems for high-dimensional data analysis" funded by the German Research Foundation (DFG).

Project overview:
The computation of eigenvectors and eigenvalues in the linear eigenproblem is well studied and a large portfolio of methods taking into account different kinds of structure of the corresponding matrices exists.
However, a large number of problems in machine learning and statistics and other domains can naturally be formulated as nonlinear eigenproblems. In order to use the rich structure of nonlinear eigenproblems in applications, similar to the ease of linear eigenproblems, the goal of this research project is the development of a general framework for the computation of nonlinear eigenvectors and the application of this framework for different problems in data analysis.

They are looking for a motivated student with a master/diploma in mathematics, computer science or physics. A strong analytic background as well as programming skills (C/Matlab) are required.
In particular, knowledge in at least one of the following fields is mandatory: convex optimization, functional analysis, machine learning/statistics.

The duration of the project will be 3 years with a salary of 75% TV-L E13. The deadline for application is September 30, 2011.

Please send your application (preferably per email) to

Prof. Dr. Matthias Hein
Machine Learning Group: www.ml.uni-saarland.de
Department of Mathematics and Computer Science, Campus E 1.1
66041 Saarbruecken, Germany
E-mail: hein@cs.uni-sb.de

or

Dr. Simon Setzer
Mathematical Image Analysis Group: www.mia.uni-saarland.de
Department of Mathematics and Computer Science, Campus E 1.1
66041 Saarbruecken, Germany
E-mail: setzer@mia.uni-saarland.de




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