Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : L3i
Durée : 12 mois
Contact : mickael.coustaty@univ-lr.fr
Date limite de publication : 2021-02-01

Contexte :
The work carried out by the candidate will be a part of the LabCom IDEAS. IDEAS is co-funded by the French National Research Agency (ANR) and the Nouvelle-Aquitaine Region, and brings together the Yooz company and the L3i laboratory. The objective is to imagine, invent, design, develop, optimise and train the best algorithms for processing automatically business documents. The goal is to offer services, based on artificial intelligence, that are capable of automatically analysing and understanding various types of business documents.

Sujet :
The work of the postdoc fellow will fall within the area “Document fraud detection”. The aim is to develop new methods for fraud detection in document images (image forensics) without a priori knowledge. The candidate, who holds a Ph.D. in the fields of computer science, computer engineering, signal processing, or applied mathematics, must have a significant research experience in the domain of image or signal processing and analysis.

Profil du candidat :
Candidates for this position should send a CV and a cover letter (names and reference details would be appreciated) to:
– petra.gomez [at] univ-lr.fr
– mickael.coustaty [at] univ-lr.fr
– nicolas.sidere [at] univ-lr.fr
– Vincent.PoulaindAndecy [at] getyooz.com
– Saddok.Kebairi [at] getyooz.com

Formation et compétences requises :
Phd

Adresse d’emploi :
L3i laboratory – La Rochelle, France

Document attaché : 202012100928_PostDoc2021 – Fraud Detection.pdf