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Agricultural and Environmental Science● OpenPostdocPreview

Postdoctoral Researcher: Soil Organic Carbon Dynamics Modelling

Develop advanced soil carbon modelling to improve agricultural sustainability and climate resilience.

Best for:Best for postdoctoral researchers with expertise in soil science, biogeochemical modelling, and programming (R/Python), seeking to advance agricultural sustainability through computational approaches.

INRAE · Montpellier, France · R2 · Recognised researcher
More professors at INRAE
soil organic carbon dynamicsagricultural modellingbiogeochemical cyclessoil carbon stratificationpriming effects in soilcomputational soil science
This is a postdoc position — not a PhD studentship.
Deadline
—
Funding
Salaried
€3.1k–€4.5k/mo
Start date
2027-01-01
Full-time
Location
Montpellier
France

Overview

This postdoctoral position at INRAE’s Joint Research Unit SolAE in Montpellier, France, focuses on enhancing the AMG model—a tool simulating soil organic carbon dynamics in response to agricultural practices and environmental conditions. The successful candidate will refine the model’s ability to account for vertical soil carbon stratification and priming effects, evaluate performance improvements, and publish findings. The work integrates agronomy, biogeochemistry, and computational modelling, contributing to sustainable agriculture and climate change mitigation. The project leverages long-term experimental datasets and collaborative research networks, offering a multidisciplinary environment for impactful scientific contributions.

postdoctoral researchersoil organic carbonAMG modelagricultural sustainabilityR programmingmodel calibrationdata analysisclimate change mitigation

What you'll do

  • Develop and refine the AMG model to incorporate vertical stratification of soil carbon inputs and stocks, including priming effects.
  • Assess the impact of model modifications on performance using long-term experimental datasets from the AMG-LAB project.
  • Evaluate different methods for estimating crop-related carbon inputs and initializing model pools.
  • Publish scientific findings in peer-reviewed journals, presenting the updated model and its evaluation.
  • Collaborate with a consortium of agronomic research organizations to integrate improvements into broader soil science frameworks.

Requirements

Degree required: PhD in Agronomy, Soil Science, Environmental Science, Biogeochemistry, or a related field

Language: English (proficiency required for scientific communication and collaboration)

Instruction: French (work environment) and English (scientific publications)

Publications: One scientific paper presenting the new model version and its evaluation

Required skills
  • Experience in using, evaluating, or calibrating computational models (e.g., soil carbon models)
  • Proficiency in R programming for data processing and analysis
  • Familiarity with handling large and varied datasets
  • Knowledge of biogeochemical cycles and soil organic matter dynamics
  • Experience with model calibration and validation techniques
Nice to have
Experience with Python programmingFamiliarity with software forges (e.g., GitHub, GitLab)Background in agronomy or crop scienceExperience with long-term experimental datasets
Eligibility
  • No specific nationality restrictions mentioned
  • No residency or age limits specified
  • Prior experience in model calibration is required

Funding & terms

Type
Salaried
Amount
€3.1k–€4.5k/mo
Duration
12 months
Programme
INRAE
INRAE

How to apply

Deadline: 2026-10-18

Applicants must submit a CV and a motivation letter via email to Fabien Ferchaud at fabien.ferchaud@inrae.fr. Ensure your application highlights your relevant expertise in soil modelling, data analysis, and programming.

Documents required
  • CV
  • Motivation letter
✉Apply by email

Contact

Fabien Ferchaud· Project Supervisor

fabien.ferchaud@inrae.fr

FF
Prof.
Fabien Ferchaud
Joint Research Unit SolAE (formerly Eco&Sols)
Lab
AMG-LAB project
INRAE
France
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