General information
Offer title : PostDoc (M/F) in Bioacoustics, Biostatistics and Machine Learning (H/F)
Reference : UMR8067-DAMCHE-015
Number of position : 1
Workplace : LES ANSES D ARLET
Date of publication : 14 January 2026
Type of Contract : Researcher in FTC
Contract Period : 24 months
Expected date of employment : 1 March 2026
Proportion of work : Full Time
Remuneration : between €2690 and €3821 gross per month depending on experience
Desired level of education : Doctorate
Experience required : 1 to 4 years
Section(s) CN : 01 - Interactions, particles, nuclei, from laboratory to 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.
Activities
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
Skills
- 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.
Work Context
The project will take place within the UMR BOREA (Dr. Damien Chevallier, UMR CNRS 8067) in Martinique.