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PostDoc (M/F) in Bioacoustics, Biostatistics and Machine Learning

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

Date Limite Candidature : mercredi 24 décembre 2025 23:59:00 heure de Paris

Assurez-vous que votre profil candidat soit correctement renseigné avant de postuler

Informations générales

Intitulé de l'offre : PostDoc (M/F) in Bioacoustics, Biostatistics and Machine Learning (H/F)
Référence : UMR8067-DAMCHE-014
Nombre de Postes : 2
Lieu de travail : LES ANSES D ARLET
Date de publication : mercredi 3 décembre 2025
Type de contrat : Chercheur en contrat CDD
Durée du contrat : 24 mois
Date d'embauche prévue : 1 février 2026
Quotité de travail : Complet
Rémunération : between €2690 and €3821 gross per month depending on experience
Niveau d'études souhaité : Doctorat
Expérience souhaitée : 1 à 4 années
Section(s) CN : 01 - Interactions, particules, noyaux du laboratoire au cosmos

Missions

This recruitment is part of the RECAPTED ADD project, funded by the FEAMPA (European Maritime and Fisheries Fund). This project aims to develop solutions adapted to Caribbean artisanal fisheries to limit the accidental capture of sea turtles through the use of acoustic deterrent systems (ADDs).
The recruited individual will be responsible for analyzing data from field campaigns to evaluate 1) the effectiveness of acoustic deterrent systems on the accidental capture of sea turtles and on the capture of target species, and 2) identify and map the risk of interactions between sea turtles and fishing gear.

Activités

Main tasks:
- Processing accelerometric/gyroscopic and acoustic signals related to the fine behaviors of sea turtles
- Developing innovative machine learning methods to analyze the sounds associated with these behaviors
- Automating the processing of audio and visual data to optimize the quantity and quality of results
- Sea tests of the acoustic deterrent device
- Data analysis and article writing

Compétences

- Advanced expertise in ecology, particularly in sea turtle ecology and Caribbean coastal marine ecosystems.
- Advanced expertise in biostatistics and spatial data analysis.
- Expertise in machine learning.
- Advanced expertise in signal processing (accelerometric/gyroscopic and acoustic).
- Experience writing scientific articles and presenting at international conferences.

Contexte de travail

The project will take place within the UMR BOREA (Dr. Damien Chevallier, UMR CNRS 8067) in Martinique.