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Portail > Offres > Offre FRE3693-THODEN-004 - Robot jouet bio-inspiré & apprentissage par renforcement (H/F)

Bio-inspired toy robot with reinforcement learning (M/F)

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Français - Anglais

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General information

Reference : FRE3693-THODEN-004
Workplace : GIF SUR YVETTE
Date of publication : Thursday, December 06, 2018
Type of Contract : FTC Technical / Administrative
Contract Period : 12 months
Expected date of employment : 1 January 2019
Proportion of work : Full time
Remuneration : If PhD: CNRS Research Engineer level, otherwise, according to education and experience.
Desired level of education : 5-year university degree
Experience required : Indifferent


We are looking for an engineer with skills in reinforcement learning, programming, and/or robotics to contribute to the development of an educational toy robot embedded with learning capabilities.


The Computing and Data Science team at CNRS laboratory UNIC (Unit of Neuroscience, Information and Complexity) develops a bio-inspired robot for future neuroscience research, which will also be commercialized as an educative toy to teach children about artificial intelligence. The current prototype is the object of regular school classes' demonstrations.

The engineer will contribute principally to the artificial intelligence of the robot, using modern RL algorithms to improve its learning capabilities and handle a wider range of sensors (e.g. camera) and reward modes. In addition, and depending on its qualification, he will also contribute to hardware prototyping and hardware/software integration.


Applicants should hold a PhD or a Master degree in computer science or related fields, display advanced programming skills and be trained in machine learning (ideally in the RL field).

Work Context

UNIC is an interdisciplinary research unit in neuroscience. The Computing and Data Science team provides expertise in data analysis and artificial intelligence. It also leads a future startup creation around the aforementioned robot.

Additional Information

If the project is successful, the engineer will have an opportunity to participate to the creation of the “Naivia” startup.

Web site: https://www.unic.cnrs-gif.fr/teams/Computing and Data Science.

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