Engineer position: Multi-dimensional data visualization
XPLOR is a unique visualization software developed by the Computing and Data Science team at CNRS laboratory UNIC (Unit of Neuroscience, Information and Complexity). It offers smooth navigation inside large multi-dimensional data and fast extraction of meaningful information. It allows the exploration and fast interpretation of large volumes of neurobiology imaging data, yet it is a powerful generic platform with potential applications to all domains treating with large multi-dimensional data. Further developments of the software can include new visualization modes or linkages between different displays, as well as the inclusion of machine learning algorithms to automatically extract regularities in the data (e.g. clustering, dimension reduction, etc.).
The company is looking for an engineer with skills in data visualization, graphic UI/UX programming, and/or machine learning to contribute to and promote an open-source visualization project named XPLOR.
In addition to their technical skills, the engineer should display a sense of initiative, as they will be offered an important freedom to decide in which direction to develop the software, to best satisfy the needs of potential users. They will therefore meet several research teams inside the Neuropsi Institute (the CNRS unit to which UNIC laboratory belongs) and discuss with them the needed functionalities. They will have the choice between further developing the Matlab version of XPLOR, or moving it to Python. They will also be encouraged to find new usages, and study whether industrial applications exist.
The position is for one year and is funded by the Lidex Paris-Saclay program BRAINSCOPE.
Salary: CNRS Research Engineer, gross salary 2,471€ to 2,664€ per month according to experience.
Web page of the team: https://www.unic.cnrs-gif.fr/teams/Computing and Data Science.
Contact: thomas.deneux@unic.cnrs-gif.fr
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Engineer position: Bio-inspired toy robot with reinforcement learning
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 company is 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 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, they 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).
Salary: CNRS Research Engineer, gross salary 2,471€ to 2,664€ per month according to experience.
The position is for one year. If the project is successful, the engineer will have an opportunity to
participate to the creation of the “Naivia” startup by becoming an early employee or co-founder if
appropriate.
Web page of the team: https://www.unic.cnrs-gif.fr/teams/Computing and Data Science.
Contact: thomas.deneux@unic.cnrs-gif.fr
XPLOR is a unique visualization software developed by the Computing and Data Science team at CNRS laboratory UNIC (Unit of Neuroscience, Information and Complexity). It offers smooth navigation inside large multi-dimensional data and fast extraction of meaningful information. It allows the exploration and fast interpretation of large volumes of neurobiology imaging data, yet it is a powerful generic platform with potential applications to all domains treating with large multi-dimensional data. Further developments of the software can include new visualization modes or linkages between different displays, as well as the inclusion of machine learning algorithms to automatically extract regularities in the data (e.g. clustering, dimension reduction, etc.).
The company is looking for an engineer with skills in data visualization, graphic UI/UX programming, and/or machine learning to contribute to and promote an open-source visualization project named XPLOR.
In addition to their technical skills, the engineer should display a sense of initiative, as they will be offered an important freedom to decide in which direction to develop the software, to best satisfy the needs of potential users. They will therefore meet several research teams inside the Neuropsi Institute (the CNRS unit to which UNIC laboratory belongs) and discuss with them the needed functionalities. They will have the choice between further developing the Matlab version of XPLOR, or moving it to Python. They will also be encouraged to find new usages, and study whether industrial applications exist.
The position is for one year and is funded by the Lidex Paris-Saclay program BRAINSCOPE.
Salary: CNRS Research Engineer, gross salary 2,471€ to 2,664€ per month according to experience.
Web page of the team: https://www.unic.cnrs-gif.fr/teams/Computing and Data Science.
Contact: thomas.deneux@unic.cnrs-gif.fr
---------------------------------------------------------------------------------------------------------------------
Engineer position: Bio-inspired toy robot with reinforcement learning
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 company is 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.
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, they 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).
Salary: CNRS Research Engineer, gross salary 2,471€ to 2,664€ per month according to experience.
The position is for one year. If the project is successful, the engineer will have an opportunity to
participate to the creation of the “Naivia” startup by becoming an early employee or co-founder if
appropriate.
Web page of the team: https://www.unic.cnrs-gif.fr/teams/Computing and Data Science.
Contact: thomas.deneux@unic.cnrs-gif.fr
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