About the Position
The CNRS – National Center for Scientific Research invites applications for a Postdoctoral Researcher (M/F) position on the Biological Carbon Pump at the Laboratoire d’Océanographie de Villefranche (LOV), located near Nice, France. Starting January 2026, this 12-month full-time role is funded by Horizon Europe under the DTO-Bioflow Project, which aims to transform marine biodiversity data into actionable knowledge for the EU Digital Twin Ocean. The postdoctoral fellow will develop a global carbon flux product by integrating Underwater Vision Profiler (UVP) measurements, sediment trap data, and machine learning (ML) approaches. The project combines oceanography, data science, and plankton ecology, offering a unique opportunity to contribute to cutting-edge marine research within an internationally recognised institution.
Position/Job Details
- Position: Postdoctoral Researcher on the Biological Carbon Pump
- Institution: CNRS – National Center for Scientific Research
- Department: Laboratoire d’Océanographie de Villefranche (LOV)
- Research Field: Environmental Science, Oceanography, Global Change
- Location: Villefranche-sur-Mer, France
- Number of Posts: 1
- Job Type: Full-time, Temporary (12 months)
- Start Date (Anticipated): January 2026
- Working Hours: 35 hours per week
- Salary Range: As per CNRS standards
- Required Degree/Diploma: PhD
Research Area
- Biological carbon pump and ocean carbon fluxes
- Marine plankton ecology and phytoplankton taxonomy
- Ocean data integration and machine learning applications
- Environmental data analysis and modelling
- Marine biodiversity monitoring (EU Digital Twin Ocean initiative)
Eligibility & Qualifications
Minimum Requirements:
- PhD in Oceanography, Marine Biology, or Environmental Science
- Knowledge of plankton ecology and phytoplankton taxonomy
- Programming proficiency (R, Python, or MATLAB)
- Experience handling large datasets and conducting statistical analyses
Preferred Qualifications:
- Familiarity with digital image processing
- Experience with multivariate analyses (PCA, GLM, ML-based regression)
- Strong communication and teamwork skills
Key Responsibilities
- Compile and format global carbon flux and UVP datasets
- Conduct machine learning–based analyses to model carbon flux variability
- Publish scientific papers and present findings at international conferences
- Participate in project and team meetings at LOV in Villefranche-sur-Mer
Application Process
How to Apply:
Apply through the CNRS recruitment portal: https://emploi.cnrs.fr/Candidat/Offre/UMR7093-MADWAL-023/Candidater.aspx
Required Documents:
- CV and Cover Letter
- PhD Certificate or Proof of Award
- Contact details for references
Important Dates
- Application Opens: 25 October 2025
- Deadline: 14 November 2025
- Start Date: 1 January 2026
Useful Links
- Institution Website: CNRS – National Center for Scientific Research
- Laboratory Website: Laboratoire d’Océanographie de Villefranche (LOV)
- Official Notification Link: Click here
- Apply Now: Apply via CNRS Portal
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