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

CNRS; France; Sur place; EUR 30 000 - 50 000; Plein temps

Résumé du poste

A leading research institution in France is seeking a researcher for a temporary position in marine ecology. The role involves analyzing the effectiveness of acoustic deterrent systems to reduce the accidental capture of sea turtles. Candidates should have advanced expertise in ecology, biostatistics, and machine learning, as well as experience in scientific writing. The position will be part of an innovative project aimed at developing solutions for Caribbean fisheries.

Qualifications

• Advanced expertise in sea turtle ecology and Caribbean coastal marine ecosystems.
• Experience in data analysis and article writing.
• Expertise in developing innovative methods for sound analysis.

Responsabilités

• Analyze data from field campaigns for effectiveness of acoustic deterrent systems.
• Process accelerometric/gyroscopic and acoustic signals.
• Develop machine learning methods to analyze sounds.

Connaissances

Advanced expertise in ecology

Biostatistics

Spatial data analysis

Machine learning

Signal processing

Scientific writing

Description du poste

Organisation/Company CNRS Department Biologie des organismes et écosystèmes aquatiques Research Field Physics Researcher Profile Recognised Researcher (R2) Country France Application Deadline 24 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No

Offer Description

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.

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

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

Qualifications:

• 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.