Annonce en lien avec l’Action/le Réseau : aucun

Laboratoire/Entreprise : GREYC
Durée : 6 mois
Contact : francois.rioult@unicaen.fr
Date limite de publication : 2018-07-10

Contexte :
The AIMS project consists of building an integrated system for monitoring offshore human activities to assess the impact of these activities on marine fauna, and especially on marine mammals. The whole system is built around big-data technologies and aims to use benefits of such technologies to collect and analyze all possible data related to the marine environment and the offshore human activities.

Sujet :
Among others, AIMS is investigating new efficient ways for the analysis of the acoustic pollution. For the moment being, simulating sound pollution starting from boat locations (obtained through the Automatic Identification System) requires long computations solving partial differential equation (PDE) such as the Helmholtz one. The aim of this project is to study how deep learning techniques can speed up these long computations.

Profil du candidat :
Researcher with recent PhD in
– computer science
– applied mathematics
– acoustics
– signal processing

Formation et compétences requises :
Experience with deep learning
Background knowledge on (acoustic) signal processing
Perfect English oral and writing skills

Adresse d’emploi :
Campus 2 Côte de Nacre
14 000 Caen

Document attaché : postDocPositionGreyc2.pdf