Postdoc_Developing learning models to predict the size of kinetic compartments in soil carbon models using Rock-Eval® thermal analysis results (M/F)
New
- Researcher in FTC
- 24 month
- Doctorate
This offer is available in English version
This offer is open to people with a document recognizing their status as a disabled worker.
Offer at a glance
The Unit
Institut Pierre-Simon Laplace
Contract Type
Researcher in FTC
Working hHours
Full Time
Workplace
75252 PARIS 05
Contract Duration
24 month
Date of Hire
01/10/2026
Remuneration
From 3 132,83€ brut
Apply Application Deadline : 16 July 2026 23:59
Job Description
Missions
As part of the ALAMOD project, funded by the “PEPR FairCarbon” programme, we are offering a 24-month postdoctoral position. The main scientific objectives and related tasks of the post will aim to better understand and predict the dynamics of organic carbon in soil using Rock-Eval® thermal analysis data obtained from samples taken from long-term agronomic experiments or flagship networks.
Activity
The postdoctoral researcher appointed will initially be responsible for developing Python scripts to determine, via inversion, the evolution of the kinetic compartments of various models simulating C dynamics in soils for the sites documented in the recent data paper published by Fukisaji et al., 2026. Subsequently, the postdoctoral researcher will develop machine learning models to predict the sizes of the kinetic compartments previously calculated using Rock-Eval® thermal analysis results. Finally, the postdoctoral researcher will use thermal analysis data obtained from monitoring networks to construct soil carbon stability maps at the national and European levels.
Your Profil
Skills
We are looking for a candidate who has completed a PhD and has a keen interest in environmental sciences and a strong passion for modelling. Skills in programming languages (R, Python or Fortran) and machine learning are essential. The candidate must have demonstrated the ability to present their findings in scientific journals and at conferences.
Your Work Environment
Soils constitute very significant carbon stores. Increasing soil carbon stocks through sustainable management that is compatible with production objectives is a well-recognised means of contributing to climate change mitigation. Nevertheless, models simulating changes in soil carbon stocks still have considerable room for improvement. The ALAMOD project aims to capitalise on all data showing changes in soil carbon stocks to create an unprecedented tool for evaluating models and predicting soil carbon stocks. This dataset will be used to evaluate the various models used or developed by the French research community. The results of this comparison and the related work will help to identify the strengths and limitations of the various approaches and lay the foundations for a new generation of models that accurately simulate changes in soil carbon stocks.
Compensation and benefits
Compensation
From 3 132,83€ brut
Annual leave and RTT
44 jours
Remote Working practice and compensation
Pratique et indemnisation du TT
Transport
Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€
About the offer
| Offer reference | UAR636-ALERUB-055 |
|---|---|
| CN Section(s) / Research Area | Continental surface and interfaces |
About the CNRS
The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.
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