Socio-Economic Decision-Making and Adoption of Bio-Solutions in Agroecology
Develop decision-support tools to analyze and accelerate the adoption of bio-solutions in sustainable agriculture.
Best for:Best for economists, agroecologists, or social scientists with strong quantitative skills, fieldwork experience, and a passion for interdisciplinary research on agricultural transitions.
Overview
This PhD position at UniLaSalle’s Institut Polytechnique focuses on understanding the socio-economic factors influencing farmers' adoption of bio-solutions (biocontrol, biostimulants, biofertilizers) to support agroecological transitions. Within the ANR France 2030 COBIOTERRE project, the candidate will investigate decision-making processes, model economic trade-offs, and design a decision-support tool for farmers and stakeholders. The work bridges economics, agroecology, and interdisciplinary social sciences to address real-world challenges in sustainable agriculture.
What you'll do
- Conduct fieldwork and surveys to analyze socio-economic determinants of bio-solutions adoption among farmers.
- Develop and formalize a decision-making model to simulate farmers' trade-offs between economic, technical, and behavioral factors.
- Design and implement a decision-support tool to guide agroecological transitions in agricultural systems.
- Collaborate with a consortium of 14 academic and socio-economic partners to integrate findings into real-world applications.
- Publish research findings in international peer-reviewed journals and present at conferences.
- Conduct interdisciplinary research bridging economics, agroecology, and social sciences.
Requirements
Degree required: Master’s degree (or equivalent) in Management Sciences, Agricultural Economics, Agroecology, Environmental Economics, Innovation Management, Bioengineering, or Agronomy with a strong social science component.
Degree offered: PhD
Language: English (IELTS 6.5 or equivalent for academic writing and presentations); French proficiency strongly recommended for fieldwork.
Instruction: French (for fieldwork and local collaboration) and English (for academic outputs)
- Experience in data analysis, fieldwork, or modeling (quantitative or qualitative methods)
- Strong analytical and writing skills for academic publications
- Proficiency in interdisciplinary research approaches
- Excellent command of English for scientific writing and presentations
- No specific nationality restrictions, but French proficiency is advantageous for fieldwork.
- No age or residency restrictions mentioned.
Funding & terms
How to apply
Deadline: 2027-07-04
Applicants must submit a CV, cover letter, and research proposal outlining their approach to the project. Shortlisted candidates will be invited for an interview. Applications should be sent via email to the contact provided.
- CV
- Cover letter
- Research proposal (describing approach to the project)
- Master’s degree transcripts
- Proof of English proficiency (if applicable)
Contact
First Last· PhD Supervisor / Project Coordinator
[not provided in source]
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