Open Position in Machine Learning

A PhD/postdoctoral position is available starting in 2012 at the Machine
Learning Laboratory, Department of Computer Science, ETH Zurich. We
seek a creative candidate who will develop information theoretic model
validation tools. An ideal candidate would be interested in the
theoretical foundations of learning, in particular with respect to
smoothed analysis of algorithms. The candidate should have a strong
theoretical and algorithmic background, and be excited about solving
real world problems. Relevant expertise includes:

  - Background in mathematics, statistics or computer science

  - Knowledge of information theory and model validation

  - Experience in theoretical analysis of algorithms

The Machine Learning Laboratory currently studies statistical models
for data clustering, dynamical systems for biology and medicine, and
graphical models in computer vision. In addition, we have several
industrial collaborations in computational science and engineering. A
major effort of our algorithmic and modeling work is devoted to
quantifying the robustness of the learned structures, i.e., to provide
the data analyst with uncertainty estimates of models and methods. In
collaboration with other experts, we solve problems in computer vision,
computational biology, biomedical analysis, and computational
neuroscience. More details about our research can be found on our
research page:

http://www.ml.inf.ethz.ch/research/index

Review of applicants will start immediately and continue until the
position is filled. The application package should contain a copy of
their CV along with contact information for 3 referees, and a cover
letter describing previous research experiences with emphasis on the
relevance to above topics. The documents in PDF format should be sent
to:rita.klute@inf.ethz.ch.