Missions

This position is part of the HYPERLINK project, which is funded by BPI in collaboration with CEA, NOKIA, and MC2 Technologies.

Our goal is to study the use of artificial intelligence for improving the reliability of communication networks.
The selected candidate will be required to:
- Conduct research on the use of AI for modeling telecommunication channels in various meteorological contexts.

The selected candidate will lead tasks in collaboration with project partners.

Activités

Activities
- Design and train models on a database collected by the partners.
- Test the performance of the developed model.
- Model the reliability of the models based on noise characteristics.

Compétences

Skills
- Expertise in Machine Learning.
- Proficiency in one of the major development frameworks (PyTorch, TensorFlow, etc.).
- Basics in the field of communication and signal processing.
- Strong interpersonal and writing skills.

Contexte de travail

The candidate will work at the IEMN laboratory (Institut d'Electronique, Micro-électronique et Nanotechnologie, https://www.iemn.fr/), specifically in the department located at the Mont-Houy Valenciennes Campus in an international environment (https://www.youtube.com/watch?v=kVG_AcGBxvk&ab_channel=UPHFOfficiel).

CNRS and the University of Polytechnique Hauts-de-France (UPHF) provide an excellent research environment with recognized teams in various fields of Intelligent Systems.

The position falls within a sector related to the protection of scientific and technical potential (PPST), and therefore, in accordance with regulations, your arrival must be authorized by the competent authority of the MESR.

Le poste se situe dans un secteur relevant de la protection du potentiel scientifique et technique (PPST), et nécessite donc, conformément à la réglementation, que votre arrivée soit autorisée par l'autorité compétente du MESR.

Contraintes et risques

None