Category: Stage

L’équipe de recherche IMAGE du Laboratoire CNRS GREYC (https://www.greyc.fr) lance un appel à candidatures pour un stage de 6 mois sur l’interprétabilité des modèles de génération de textes. Ce stage sera réalisé en collaboration avec les Universités de Porto et de la Beira Interior au Portugal.

Le Laboratoire GREYC mène des activités de recherche dans le domaine des sciences du numérique couvrant plusieurs aspects de l’informatique dont le traitement automatique du langage naturel, le traitement de l’image, la fouille de données, l’intelligence artificielle. Il regroupe plus de 200 membres et se situe à Caen, Normandie, France.

Le.a candidat.e retenu.e doit suivre des études de Master ou équivalent en Science des données, Informatique ou Mathématique appliquée. Une solide expérience en apprentissage automatique (statistique, profond) est requise ainsi que des connaissances en programmation logique.

Si vous êtes intéressé par ce poste, veuillez envoyer les informations suivantes à Gaël Dias (gael.dias@unicaen.fr) :

– CV détaillé
– Relevés de notes des diplômes de Licence et de Master
– Lettres de recommandation (au moins une)

Les candidatures seront étudiées jusqu’à ce que le poste soit pourvu ou avant le 1er mars 2023.

Pour plus d’informations, vous pouvez contacter directement Gaël Dias (gael.dias@unicaen.fr).

The SteelSeries France R&D team (former Nahimic R&D team) is glad to open 4
research internship positions for 2023.

The selected candidates will be working on one of the following topics
(more details in attached):

• Real time speaker separation
• Personalized speech enhancement
• Advanced Selective Mutal Learning for audio source separation
• Audio detection for gaming

Please reply/apply to nathan.souviraa-labastie@steelseries.com.

SteelSeries is a Danish manufacturer of gaming peripherals and accessories,
including headsets, keyboards, mice, controllers, and mousepads.
SteelSeries was acquired by GN Store Nord in 2021.
Open Roles
 
Machine Learning / Audio Signal Processing Intern
<https://www.karkidi.com/job-details/37356-machine-learning-audio-signal-processing-intern-job>
 
Lille, France
 
Machine Learning / Audio Signal Processing Intern
<https://www.karkidi.com/job-details/37355-machine-learning-audio-signal-processing-intern-job>
 
Lille, France
 
Machine Learning / Audio Signal Processing Intern
<https://www.karkidi.com/job-details/37354-machine-learning-audio-signal-processing-intern-job>
 
Lille, France
 
Machine Learning / Audio Signal Processing Intern
<https://www.karkidi.com/job-details/37353-machine-learning-audio-signal-processing-intern-job>
 
Lille, France

In the MERLE (Multimodal Effective Representation Learning of Evolution of
birds) project, we are interested in the learning of visual and multimodal
representation that can help biologists in the phylogenetic classification
and modeling evolution of birds. Currently paleontologists use ad hoc
features of bird appearance (color, feather, bones, …) to model evolution
and classify clades. We want to explore how deep learning architectures can
help to automatically extract relevant features for these biological
investigations. We are currently recruiting two master trainees with the
following planned missions:

• data pre-processing (e.g. based on the ‘birds of the world’ database (for
  biologists))
• study of representation learning architectures (VAE or equivalent)
  regarding the features extracted and how to constraint them
• fusion of multiple modalities (sound and image)

The ideal candidate will have a master’s degree in artificial
intelligence/machine learning (or equivalent), previous experience in deep
learning, good teamwork and interest in multidisciplinary research.

The internships will start in February 2023 (flexible date) for 5-6 months
in LIRIS and LGL laboratories (Lyon, France). The gratification is around
550€/month.

To apply, please send a mail to mathieu.lefort@liris.cnrs.fr and
stefan.duffner@liris.cnrs.fr with your CV, cover letter, academic
transcript and any other document you deem relevant.