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Postdoc Positions, Lab for Information & Inference Systems, EPFL

The Laboratory for Information and Inference Systems
(http://lions.epfl.ch/) at Ecole Polytechnique Federale de Lausanne
(EPFL) has multiple openings for energetic postdoctoral fellows in the
broad fields of Applied Mathematics, Theoretical Computer Science, and
Statistics as part of Prof. Volkan Cevher's 5-year European Research
Council project.

Topics of interest include, but are not limited to Analysis and design
of advanced convex and non-convex optimization methods with
applications to inverse problems; Analysis and design of advanced
discrete optimization methods with particular emphasis on sublinear,
submodular, and approximation algorithms; Learning theory and methods
for non-parametric, sparse additive models; Encoder design for
compressive and adaptive measurement schemes, including information
extractors (e.g., polar codes) and expanders; Advanced linear algebra
methods for optimized information extraction from very large
dimensional datasets; Analysis and applications of non-iid
probabilistic models.

Applicants are expected to have finished, or are about to finish their
Ph.D. degrees. They must have an exceptional background at least in
one of the following topics: numerical convex optimization,
combinatorial optimization, statistics, coding theory, and
algorithms. A track record of relevant publications at top applied
mathematics, theoretical computer science, statistics, or engineering
journals or conferences is essential.  The working language at EPFL is
English.

Starting date: available immediately

For informal enquiries, please contact Gosia Baltaian
gosia.baltaian@epfl.ch

The application letter including a curriculum vitae with a list of
publications, statement of research, contact details for 3 references
should be sent via email to Gosia Baltaian gosia.baltaian@epfl.ch

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