Applications are invited for several 1-year or 2-year postdoctoral
positions within the joint INRIA/CNRS/Ecole Normale Superieure
computer science laboratory in downtown Paris, working with Francis
Bach. The position is funded by the European Research Council and is
part of the SIERRA project on sparse methods for machine learning.
The goals of this project are to explore sparse structured methods for
machine learning, with applications in computer vision and audio
processing. The project is expected to make contributions to all
aspects of machine learning, from learning theory to convex
optimization (see relevant publications at
http://www.di.ens.fr/~fbach/sierra/). Therefore candidates with
diverse backgrounds are expected.
The Sierra project is carried out within the INRIA Willow project-team
and the postdoc will have the opportunity to interact with the rest of
the team, which has a diverse and interdisciplinary expertise in
machine learning and computer vision (see
Candidates must have a PhD in machine learning or related field, with
expertise in at least two of the following areas: sparse methods,
kernel methods, convex optimization, computer vision, audio
processing, signal processing.
Candidates should send a detailed CV, a statement of research
interests, and the names and full contact details (including e-mail
addresses) of at least two referees to Francis Bach
(francis.bach (at) ens.fr).