I would like to invite applications for postdoctoral positions
funded by the ANR-FNS French-Swiss grant PAIL (PIs : Florent
Krzakala ENS-Paris, Nicolas Macris EPFL-Lausanne)
in my group
in Ecole Normale
in Paris. The appointments are intended to start anytime from
now to in the fall of 2019 and will be for 2 years.
This project on Phase diagrams and Algorithms for Inference and
Learning aims at developing a better theoretical understanding of
the recent advances in machine learning and high-dimensional
statistics that have had a tremendous impact but call for more
principled, if not rigorous, justifications. This goal will be
pursued in this project by building on the fruitful interplay
between statistical mechanics of disordered systems, discrete
mathematics and computer science that has produced a number of
important results in the related fields of constraint satisfaction
problems and probabilistic inference.
The project is developed with Guilhem Semerjian and in collaboration with Marc Mezard (Ecole Normale Superieure), Lenka Zdeborova (CEA Saclay) and many groups in the Parisian region.
The project is developed with Guilhem Semerjian and in collaboration with Marc Mezard (Ecole Normale Superieure), Lenka Zdeborova (CEA Saclay) and many groups in the Parisian region.
This project places an emphasis on interdisciplinarity, and aims
to achieve progress by bringing together postdocs with different
scientific backgrounds. More specifically, the candidates can
come from different areas (Statistics and probability, signal
processing, applied mathematics, statistical physics, information
theory, machine learning and neural networks) and are expected to
bring their expertise. Successful candidates will thus conduct a
vigorous research program within the scope of the project, and are
expected to show independence and team working attitude at the
same time.
Keywords: Probability and statistics, Machine Learning,
Signal processing, information theory, graphical models, Bayesian
inference, compressed sensing, error correcting codes, spatial
coupling, Belief Propagation, Message Passing, Tomography.
Statistical physics - glasses, spin glasses, random optimization
problems, cavity method, replica method - c, c++, matlab, julia,
python.
To apply, and for further information: florent.krzakala@ens.fr. The candidates should send their detailed cv (including list of publication, presentations, citations etc.), and 1 page letter of motivation explaining why they want to work on this subject, what is their related experience, and present a short project. Preselected candidates should be ready to provide two letters of recommendation at a later stage.
The members of the group also keep close contacts with other researchers
of the Ecole Normale Superieure, of the University Paris-Sud and of
the CEA Saclay, all of them based closed by. The ENS is
conveniently located in the
very center of Paris. The positions are endowed with
travel and computing resources.
No Deadline for applying: apply as soon as you can! (before end of 2018 preferred)
To apply, and for further information: florent.krzakala@ens.fr. The candidates should send their detailed cv (including list of publication, presentations, citations etc.), and 1 page letter of motivation explaining why they want to work on this subject, what is their related experience, and present a short project. Preselected candidates should be ready to provide two letters of recommendation at a later stage.