Institut National de Recherche pour l'Agriculture l'Alimentation et l'Environnement
1 month ago
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PhD in Weed Community Diversity and Crop Productivity for Agroecological Management Institut national de recherche pour l’agriculture, l’alimentation et l’environnement in France
Degree Level
PhD
Field of study
Ecology
Funding
The post states that the PhD position is fully funded.
Country
France
University
Institut National de Recherche pour l'Agriculture l'Alimentation et l'Environnement

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About this position
PhD opportunity at INRAE in Dijon, France on weed community diversity and crop productivity, with a strong focus on agroecology, plant community ecology, biodiversity, and sustainable agriculture.
The project aims to understand how the diversity of spontaneous weed communities influences crop productivity and how ecological mechanisms can be used to design more durable agroecological management strategies. The research will examine interactions between plant biodiversity and agroecosystem functioning, with the goal of reducing external inputs while maintaining yields.
Research themes include: ecological mechanisms linking weed diversity and crop productivity; biodiversity–function relationships in agroecosystems; cropping systems; experimental ecology; data analysis; and sustainable farming approaches.
Candidate profile: Master 2 in agronomy, ecology, plant biology, or a related discipline; interest in agroecology, community ecology, and crop systems; ability to work experimentally and analyze data; good scientific English.
Institution: INRAE (Institut national de recherche pour l’agriculture, l’alimentation et l’environnement).
Location: Dijon, France.
Funding: The post explicitly describes the position as fully funded.
Application: Reference OT-30211. Apply through the INRAE jobs portal at the provided link.
Funding details
The post states that the PhD position is fully funded.
What's required
Master 2 in agronomy, ecology, plant biology, or a related field; strong interest in agroecology, plant community ecology, and cropping systems; willingness to do experimental research and data analysis; good scientific English.
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