Université de Toulouse
6 days ago
Fully Funded Cotutelle PhD in Reinforcement Learning and World Models for a Social Robot Université de Toulouse in France
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded cotutelle PhD supported by IRL CNRS CROSSING and the Marie Skłodowska-Curie Actions (MSCA) COFUND BEST Doctoral Programme.
Deadline
Nov 23, 2026
Country
France
University
Université de Toulouse

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About this position
Applications are now open for a fully funded cotutelle PhD opportunity in Reinforcement Learning, World Models, Robotics, Assistive Robotics, Artificial Intelligence, and Human-Robot Interaction.
This CROSSING PhD Opportunity #1 is supported by IRL CNRS CROSSING and will commence in September 2027 as part of the Marie Skłodowska-Curie Actions (MSCA) COFUND BEST Doctoral Programme. The project is based at IRIT (MISFIT team), Université de Toulouse, France, in cotutelle with Adelaide University, Australia.
Supervision is by Emmanuelle Claeys (IRIT) and Feras Dayoub (Adelaide University). The post highlights research on learning to anticipate for a social robot, making it a strong fit for candidates interested in AI-driven robotics, learning-based control, and interactive autonomous systems.
Funding: fully funded doctoral position under the MSCA COFUND BEST programme.
Eligibility: applicants must not have resided in France, or carried out their main activity (work, studies, etc.) there, for more than 12 months during the 36 months immediately preceding the application deadline.
Deadline: 23 November 2026.
How to apply: read the full project details and the BEST programme/application information, then submit via the applications link provided in the post.
Funding details
Fully funded cotutelle PhD supported by IRL CNRS CROSSING and the Marie Skłodowska-Curie Actions (MSCA) COFUND BEST Doctoral Programme.
What's required
Applicants must meet eligibility for the MSCA COFUND BEST Doctoral Programme and must not have resided in France, or carried out their main activity (work, studies, etc.) there, for more than 12 months during the 36 months immediately preceding the application deadline.
How to apply
Review the full project details and the BEST programme/application information, then submit the application through the provided applications link. Check eligibility carefully before applying.
More information can be found here
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