Fully-funded PhD on Social Reinforcement Learning to Support the Agroecological Transition

In the context of the MSCA COFUND BEST programme (https://doctorat.univ-toulouse.fr/cofund-best), we are proposing a PhD thesis subject on « Social Reinforcement Learning to Support the Agroecological Transition »,. The PhD will be jointly supervised by INRAE Toulouse (France) and the IIIA-CSIC (Barcelona, Spain), providing an international research environment at the intersection of reinforcement learning, multi-agent systems, and agroecological transition. Please find the detailed PhD project attached. The successful candidate will start the PhD in September 2027. Who can apply?
• Academic

Requirements:
By the call deadline (by 23/11/26), candidates must hold a master’s degree or equivalent diploma; and must not hold a doctoral degree.
• Mobility Rule w.r.t France: Applicants must not have resided or conducted their primary activity (work, studies, etc.) in France for more than 12 months in the 36 months preceding the call deadline (by 23/11/26),.

How to apply
? Applications must be submitted
* by 23 November 2026 at 12:00 PM CET via the official application platform: https://edd-projets.utoulouse.fr/ Questions ? Interested candidates are welcome to contact Meritxell Vinyals at meritxell.vinyals@inrae.fr for further information or guidance regarding the application process.
• Applications sent by any other means (e‑mail, post, etc.) will not be considered. It is the applicant's sole responsibility to submit a complete application before the deadline.