Postdoctoral researcher in agri-food system modeling

International Society for Industrial Ecology; Rennes; Sur place; EUR 30 000 - 40 000; Plein temps

Résumé du poste

A dedicated research institution in Rennes is seeking a Postdoctoral Researcher in Agri-food System Modeling to join the DESCALE project. The candidate will analyze nutrient fluxes and greenhouse gas emissions, requiring a PhD in relevant fields and experience in Python or R. Strong communication skills and teamwork are essential for this role, which starts in January 2026.

Qualifications

• PhD in agronomic, livestock science or ecological sciences with modeling experience.
• Strong understanding of nutrient fluxes, greenhouse gas emissions, and resource mobilization.
• Experience in modeling and handling agricultural statistical data.

Responsabilités

• Participate in the DESCALE project on agri-food transitions.
• Work as part of a team that includes a project leader and a PhD student.

Connaissances

Modeling experience

Understanding of nutrient fluxes

Programming experience in Python

Curiosity

Good writing skills

Formation

PhD in agronomic, livestock science or ecological sciences

Outils

Python

R

Description du poste

Postdoctoral researcher in agri-food system modeling

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

Duration and starting date: 24 months starting 1st January 2026

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.

The ideal candidate should have:

• 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. Enjoy teamwork.

Note: The mention of industrial ecology candidates is removed as it seems irrelevant to the job description.