Anglais

     
Recruteur
Parution
Lieu de travailNice, Provence-Alpes-Côte d’Azur, France
Catégorie
Fonction

Description

CNRS - Portail emploi recrutement



  • Portail > Offres > Offre UMR7329-ANTSLA-001 - Chercheur: application des mesures sismo-acoustiques sur câble fibre optique à l'étude du fond marin et de l'interface terre-mer (H/F)

    Researcher: Application of distributed acoustic sensing (DAS) to seafloor monitoring and seismology

    This offer is available in the following languages:
    Français - Anglais

    Faites connaître cette offre !

    General information

    Reference : UMR7329-ANTSLA-001 Workplace : VALBONNE Date of publication : Wednesday, February 13, 2019 Type of Contract : FTC Scientist Contract Period : 12 months Expected date of employment : 1 May 2019 Proportion of work : Full time Remuneration : From 2555 euros gross monthly according to experience.
    Desired level of education : PhD
    Experience required : Indifferent

    Missions

    Within the framework of the SEAFOOD projet (Seafloor Fiber Optic Observatory for Distributed measurements), funded by the French National Research Agency (ANR), we are seeking to appoint a Postdoctoral Researcher and a PhD candidate in the field of acoustics and/or seismology to work on marine applications of the cutting-edge technique of Distributed Acoustic Sensing (DAS), a new instrumental approach which has already demonstrated its large potential for the monitoring of a variety of processes in land.

    DAS exploits the great sensitivity of optical fibers to acoustic perturbations to turn standard telecom cables into high density seismic arrays. The technology has been around for at least a decade and exploited in the oil and gas industry, yet there has been only a limited number of applications in Earth science.

    Activities

    The aim of the project will be to develop its potential to provide new observations on the seafloor that advance our understanding of Earth-related processes. The exploitation of the DAS records, equivalent to an array of thousands of sensors, will require the development of techniques for the identification and the reliable extraction of relevant signals.

    Skills

    The project details will be filled in based on the successful applicant’s skills and interests, such as ambient noise tomography or big data analysis. But the successful candidates are expected to have experience in signal processing and programming, to have good written and oral communication skills in English, and a result-oriented proactive attitude for publishing scientific results in top refereed journals. Knowledge of machine learning techniques will be considered a strong plus, a PhD or an engineering degree is a must.

    Work Context

    The researcher will integrate the seismology group of Geoazur, a team of about 15 permanent and non-permanent researchers.
    Geoazur is a large academic research unit (more than 150 people) focused on Earth science and located in Sophia-Antipolis, a leading European technology park, just outside the city of Nice. Aspects of research on artificial intelligence can benefit from the close proximity of INRIA research labs. Geoazur is part of the University Côte d’Azur (UCA) and Observatory Côte d’Azur (OCA). UCA brings together the major players in higher education on the French Riviera and won a prestigious "IDEX" award from the French government placing it among the top 10 world-class, comprehensive universities in France.

    Additional Information

    This is a one year postdoctoral contract with possibility of extension.

    The applicant should provide a cover letter, a CV (including the scientific production), a short research summary and the contact information of 2 references.

    We talk about it on Twitter!



    Researcher: Application of distributed acoustic sensing (DAS) to seafloor monitoring and seismology (VALBONNE) http://bit.ly/2GmycU9 #Emploi #OffreEmploi #Recrutement

    — EmploiCNRS ( EmploiCNRS) Wednesday, 13 February, 19
    Web emploi.cnrs.fr/Offres...
    Lors de votre postulation, veuillez vous référer à myScience.fr et indiquer la référence  JobID 12282.