Engineer or Post-doc in Signal Processing and Connectivity Analysis Research

Ville

Paris

Pays

France

Texte de l'offre

We seek a motivated individual to join the MEG‐EEG core facility at the Paris Brain Institute (ICM, Paris, France) and participate in studies of functional and effective connectivity analysis for EEG and MEG data.

The candidate will be in charge of implementing advanced methods for functional network analysis, relying in particular on Dynamic Causal Modelling (DCM) for electrophysiological (electro‐ and magneto‐encephalography) data.

This project takes place in the context of an ongoing collaboration between Dr Nathalie George (CENIR MEG‐EEG and experimental neurosurgery team, ICM) and Dr Olivier David (Institut de Neurosciences des Systèmes, INS, Marseille). Full datasets will be made available to the candidate who will be expected to provide rigorous network analysis pipelines for these datasets as well as rich documentation, tutorial materials on implemented tools, and sharable pipelines.

More details here: https://owncloud.icm-institute.org/index.php/s/Zni6TNjBLu1plQK

[Duration: 12 months (with possibility of extension). Gross salary: 32,000 to 35,000 € / year (depending on relevant experience)]

Date de fin de publication :

31/12/2022

Type d'emploi

Ingénieur - Engineer

Type de contrat

CDD

Rémunération brut mensuelles

32-35k€ (depending on relevant experience)

Date limite de candidature

from now on and until job fullfillment

Date début de fonction

as soon as possible

Information contact

Nathalie George, DR CNRS, ICM, Paris (nathalie.george@upmc.fr)