Postdoc offer

The DANTE team at ENS de Lyon, France is seeking highly qualified candidates for a postdoctoral position on the algorithmic and mathematical foundations of resource-efficient machine learning, in the context of the ACADEMICS project (Machine Learning & Data Science for Complex and Dynamical Models) funded by the IDEXLyon.

Sample research topics include (download pdf version of the offer here): Expressivity and Robustness of Sparse Deep Networks; Provable Algorithms for Sparse Deep Learning; Random Sketches for Efficient Manifold & Graph-based Learning.

Starting date and duration: early 2020, one year – renewable

Location :

Scientific Contact: Rémi Gribonval (

To apply: Applicants are requested to send a detailed CV, a list of publications and a brief statement of research interests. This material, together with two letters of reference, shall be sent to Rémi Gribonval

Talk @ 4TU Meeting on Mathematics of Deepl Learning, Delft, Nov 5

Talk @ GDR ISIS Day “Théorie du deep learning”, Oct 17th 2019, CNAM Paris

link to the program of the day

Panel session @ GRETSI2019 on Signal Processing & AI

Plenary Talk @SampTA 2019, Bordeaux, July 8-12 2019

Talk @ Sparsity4PSL Summer School, Paris, June 27th

Talk @ workshop “Mathematics of Data”, Alan Turing Institute, London, May 29-31 2019

Talk @ LightOn Workshop #3: The Future of Random Matrices

see also on Nuit Blanche

Talk @ mini-symposium @ SMAI2019, Guidel, May 13 2019

Mini-symposium: s’affranchir du maillage : résoudre les EDP par le deep learning

Talk @ Lab-STICC seminar of the TOMS team, April 8th 2019

Compressive Statistical Learning