PhD on Social Reinforcement Learning for Agroecological Transition
Join an international PhD project exploring reinforcement learning to support the agroecological transition.
Best for:Best for master's graduates in computer science or related fields with a strong interest in reinforcement learning and multi-agent systems.
Overview
This fully-funded PhD position investigates social reinforcement learning to support the agroecological transition. The project is jointly supervised by INRAE Toulouse in France and IIIA-CSIC in Barcelona, Spain, operating within the MSCA COFUND BEST framework. The successful candidate will engage in cutting-edge research at the intersection of reinforcement learning, multi-agent systems, and agricultural sustainability. The position commences in September 2027 and offers a highly collaborative international research environment.
What you'll do
- Conduct original doctoral research on social reinforcement learning models applied to agroecological transitions.
- Design and implement multi-agent simulation environments and reinforcement learning algorithms.
- Collaborate closely with joint supervisors and research teams across INRAE Toulouse and IIIA-CSIC.
- Publish research findings in peer-reviewed international conferences and journals.
- Participate in project meetings, academic workshops, and scientific dissemination activities.
Requirements
Degree required: Master's degree or equivalent diploma
Degree offered: PhD
Language: English; professional proficiency
Instruction: English
- Strong background in artificial intelligence or computer science
- Experience with reinforcement learning and multi-agent systems
- Proficiency in programming languages such as Python
- Analytical and problem-solving skills for complex modeling
- Must hold a master's degree or equivalent by the call deadline of November 23, 2026
- Must not hold a doctoral degree
- Must not have resided or conducted primary activity in France for more than 12 months in the 36 months preceding November 23, 2026
Funding & terms
How to apply
Deadline: 2026-11-23 (CET)
Candidates must submit their complete application package through the official university project submission platform before the deadline. Applications sent via email or post will not be accepted. Interested applicants are encouraged to contact the supervisor for further guidance prior to submission.
- CV
- Master's degree certificate or equivalent
- Detailed PhD project application documents
Contact
Meritxell Vinyals· Supervisor
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