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Postdoctoral researcher in agri-food system modeling

International Society for Industrial Ecology

Rennes

Sur place

EUR 36 000 - 45 000

Plein temps

Il y a 9 jours

Résumé du poste

A leading research institution in France is seeking a postdoctoral researcher for a role focused on agri-food system modeling. You will work with a team on the DESCALE project, contributing to the evaluation of agri-food transitions. The ideal candidate has a PhD in related fields, strong modeling skills, and excellent English communication abilities. Join us to make important contributions to sustainability in agriculture.

Qualifications

  • PhD in agronomic, livestock science and/or ecological sciences with modeling experience.
  • Strong understanding of nutrient fluxes, greenhouse gas emissions, and resource mobilization in agri-food systems.
  • Programming experience in Python or R.

Responsabilités

  • Collaborate within the DESCALE project team, including the project leader, a PhD student, and interns.

Connaissances

Modeling experience
Strong understanding of nutrient fluxes
Excellent command of English
Curiosity and independence

Formation

PhD in agronomic, livestock science and/or ecological sciences

Outils

Python
R
Description du poste
Overview

Title: Agri-food system modeling - nitrogen, energy and GHG

Duration and starting date: 24 months starting 1 January 2026

Project context: The postdoctoral research position will participate in the new DESCALE project (ANR-25-CE32-4555) titled: Evaluation of the temporal and spatial scales of future agri-food transitions in livestock territories. You will be part of a team that will eventually include the project leader funded by the ANR, a PhD student, and interns.

Responsibilities
  • Collaborate within the DESCALE project team, including the project leader, a PhD student, and interns.
Qualifications
  • Recommended training: PhD in agronomic, livestock science and/or ecological sciences with modeling experience.
  • Desired knowledge: Strong understanding of nutrient fluxes, greenhouse gas emissions, and resource mobilization (including energy) within agri-food systems, as well as excellent command of English, both spoken and written.
  • Preferred experience: Experience in modeling and handling agricultural statistical data; programming experience in Python or R.
  • Desired skills: Curiosity, independence, and initiative; good writing and oral communication skills; able to enjoy and contribute to teamwork.
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