Remi GRIBONVAL

Author's posts

(closed) Postdoc on Compressive Statistical Learning @ Inria Rennes

The PANAMA team @ Inria, Rennes, France is seeking highly qualified post-doctoral candidates  to contribute to the development of a general theoretic and algorithmic framework for compressive statistical learning, by leveraging concepts from compressive sensing and graph signal processing. Candidates should hold a Ph.D. in applied mathematics, statistics, theoretical computer science, or mathematical signal processing. …

Continue reading

(filled) R&D position on large-scale sparse signal processing & learning

Scientific computing on large-scale data for signal processing and machine learning. Details of the research engineer position at  http://team.inria.fr/panama/job-offers/

New paper unifying ideas from compressive sensing and signal processing on graphs

http://arxiv.org/abs/1511.05118

Quang-Khanh-Ngoc Duong, ancien doctorant Panama/Metiss, suit les rebonds du son

http://bit.ly/1NTMBBW

(closed) Postdoc positions in Graph Signal Processing / Dimension Reduction / Compressive Learning at Inria Rennes

The PANAMA team (Parsimony and New Algorithms for Audio & Signal Modeling) at Inria, Rennes, France is seeking highly qualified candidates for postdoctoral positions funded by the ERC (European Research Council) in the context of the project PLEASE (Projection, Learning and Sparsity for Efficient data processing). Appointments are intended to start at the beginning of …

Continue reading

Srdan Kitic wins #lvaica CONEXANT award for best student paper on audio signal processing! http://amca.cz/lva2015/index.php/award

(filled) Joint EPFL/Inria postdoc proposal: Fast Transforms on Graphs (applications until the end of April 2015)

In the context of a new EPFL/Inria lab, the PANAMA team at Inria Rennes and the LTS lab at EPFL propose a joint one year postdoc fellowship. Contacts: Remi Gribonval and Pierre Vandergheynst by mail. Deadline: April 2015. Click to access the detailed offer.

(filled) Postdoc position on Sparse Learning for Multi-Sensor Source Detection in Brain Imaging

Keywords:  Signal and Image Analysis, Sparse Representation, Machine Learning, Inverse problem, Super resolution, Non linear estimation, Real-Time fMRI, EEG, Medical Imaging Description:Inria is seeking a highly qualified young researcher with strong background in applied mathematics, machine learning and image processing for a post-doctoral research project around inverse problems in neuro-imaging. Objectives of the project:The post-doc …

Continue reading

(filled) Ph.D. position: Multi-layer Models for Autofocus Acoustic Sensing

A Ph.D. offer is opened in the PANAMA group on Multi-layer Models for Autofocus Acoustic Sensing. Details and application process here

(filled) R&D position on large-scale sparse signal processing & acoustics

Details of the research engineer position at  http://team.inria.fr/panama/job-offers/