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

Laboratoire/Entreprise : CNRS UMR6072 GREYC, Caen, France
Durée : 18 months
Contact : francois.rioult@unicaen.fr
Date limite de publication : 2017-06-30

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 :
he purpose of AIMS is to design integrated technologies for decreasing the financial, logistical and technical costs of marine environmental monitoring, assessments and studies. AIMS is based on buoys embedding data processing and upload to the data lake. Such devices make it easier to investigate the anthropogenic impact on the wildlife.

The candidate will mainly have to deal with the big-data aspects of the AIMS project:
1. build and deploy algorithms on a big-data architecture
2. gather heterogeneous data from multiple sources and develop connectors for the data lake
3. offer open-sourced algorithms to the research community;
4. design a cloud platform for experiments with the detection and modeling algorithms.

Profil du candidat :
Experience with machine learning / big-data
Background knowledge on (acoustic) signal processing

Formation et compétences requises :
Researcher with recent PhD in computer science / applied mathematics
Perfect English oral and writing skills

Adresse d’emploi :
Université de Caen Normandie, France

Document attaché : postDocPositionGreyc.pdf