Your career at CRIM

At CRIM, you will be introduced to passionate people that will work in concert with you to fully realize your projects.

Discover all the advantages of working at CRIM

10 good reasons to work at CRIM

Would you like to be a member of CRIM’s team? Are you interested in one of our job offers? Would you like to get to know us a little better? Here are 10 good reasons for joining CRIM’s team.

  • Reap the benefits of an outstanding work atmosphere, characterized by mutual support and good humour 
  • Work alongside passionate people in a collaborative setting 
  • Help carry out a range of exciting projects, increasingly on a matrix-based inter-team basis
  • Expand your knowledge, expertise and people skills 
  • Work in the fascinating environment of IT
  • Take on exciting challenges, regardless of your level of expertise 
  • Increase your individual potential and our collective potential
  • Exercise your creativity 
  • Benefit from various attractive working conditions
  • Maintain work/family balance and quality of life 

Openings

Description of available jobs

Annotateurs/Transcription

Montreal - Temporary

Annotateurs/Transcription
Poste temporaire – Temps partiel

Gestionnaire de projets de R-D en TI

Montreal - Permanent

Gestionnaire de projets de R-D en TI
Poste régulier – Temps plein

Join CRIM’s team!

Would you like to become a member of CRIM’s team? Are you interested in one
of our job offers?

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Upcoming event

  • Montréal A.I. Symposium 2018
    28 August 2018 8:00
    Pavillon Wirth de l'Université McGill
    CRIM will be part of the Montreal A.I. Symposium 2018 to be held on August 28th, 2018 at McGill University.
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  • ID MTL RT @ID_MTL: .#Québec investit près de 3,9 M$ pour soutenir 43 projets de maturation et de validation #technologiques | @univalor @AligoInno…
  • Le CRIM est fier de son large réseau de #membres qui contribuent à l’essor des #TI au Québec! #stats1718 … https://t.co/d1AwDXV7jh

Recent Publications

  • Towards Automatic Feature Extraction for Activity Recognition from Wearable Sensors: A Deep Learning Approach

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  • État des lieux des technologies web

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