Computer science, Saarland University, Germany.
We are seeking 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.
We 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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