Tag: internship

Internship on the analysis of tensor-based methods for machine learning

Internship on the analysis of tensor-based methods for machine learning

Posted on by henrique.goulart

We are looking for strongly motivated M2 students with a solid background on probability, statistics and optimization for a (5- or) 6-month internship in 2023, focused on the analysis of tensor decomposition methods for machine learning in the large-data regime. The student will be co-supervised by myself and Xiaoyi Mai, Assistant Professor at the University of Toulouse and member of the Institut de Mathématiques de Toulouse (IMT).

A detailed description can be found here.

M2 Internship on random tensor models

M2 Internship on random tensor models

Posted on by henrique.goulart

We are offering a Master 2 Internship position at IRIT (Team SC) starting on Spring 2021. Here are some details about this offer:

  • The intern will work on the estimation of large-dimensional tensor models from noisy observations, an exciting subject which has received a lot of attention recently.
  • He or she will be supervised by myself at the ENSEEIHT site of IRIT, in remote collaboration with Romain Couillet and Pierre Comon, both from Gipsa-lab in Grenoble.
  • The internship duration shall be of 5 to 6 months.
  • It will be funded by the Artificial and Natural Intelligence Toulouse Institute (3IA ANITI, http://aniti.univ-toulouse.fr), as part of the AI Research Chair lead by N.~Dobigeon (thanks Nicolas!).

Please refer to this document for more details.

Update 25/01/2021 : We are no longer receiving applications, as this internship position has already been filled.