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vision of OCP Nutricrops as defined in its Capstone Doctrine and for that it proposes 2 years-postdoc fellowships covering most aspects of the Critical Zone to study through different methods. It is
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and real-time data acquisition systems. Participate in testing and deployment of UAV demonstrators at UM6P and OCP sites. Methodology: AI Development: Reinforcement learning, computer vision, and sensor
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learning architectures suitable for deployment on resource-constrained robotic systems. The postdoc will have access to state-of-the-art computational resources. Key Responsibilities: Develop novel methods
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-constrained robotic systems. The postdoc will have access to state-of-the-art computational resources. Key Responsibilities: Develop novel methods for robot learning tailored to edge robotics. Validate and test