A tenure-track Junior Professor Chair supported by CNRS – INS2I is available at ETIS Laboratory of CY Cergy-Paris University for excellent and ambitious researchers to join the Neurocybernetics group of ETIS. The Neurocybernetics group’s research focuses on bio-inspired models of embodied adaptive systems, including neural and cybernetic architectures for autonomous and social robots, computational neuroscience and computational models of the brain, embodied cognitive science, embodied models of motivation and emotion, developmental robotics and interactive and social learning. The group pushes forward embodiment and bio-inspiration to develop interactive autonomous, cognitive and social robots, and embodied AI, from “minimal” to “human-level” cognition. Research in the group is deeply interdisciplinary.
Candidates should hold a PhD and have postdoctoral (or equivalent) experience that demonstrates their ability to produce world-class research substantiated by high-quality publications, experience in interdisciplinary collaborative projects, and research leadership.
Research
The candidate will develop a research program in Bio-Inspired Modeling of Cognitive Functions and Adaptive Behavior. S/he will be able to collaborate with neurobiologists, psychologists, and researchers in other relevant disciplines, in order to develop novel bio-inspired neurocomputational/cybernetic models and architectures of brain structures, functions and dynamics. These models will be tested in autonomous/social robots or software agents.
The candidate will develop top-level international research related to the understanding of the cognitive/affective mechanisms in play in ecologically-valid situations, in topics such as action selection, navigation in an unknown environment, interactive and social learning, multimodal interaction (vision, audition, touch, proprioception), and sensorimotor, affective and cognitive development. These models should be grounded in current neuroscientific, biological and psychological knowledge, and use bio-inspired mechanisms such as artificial neural networks, neuromodulation, or cybernetic models. Relevant brain structures (and their dynamics) to be investigated could include the hippocampus, the basal ganglia, the prefrontal cortex, the retrospenial cortex, the visual cortex, the amygdala, and other cortical and sub-cortical areas.
In addition to research and research leadership, the candidate is expected to make substantial contributions to dissemination and outreach activities, and to seek funding through national and international calls.
Teaching
Depending on her/his background, the candidate will participate in teaching at Master-level specialist courses related to Artificial Intelligence and Robotics, plus Embedded Intelligence programs. S/he will also take part in teaching general undergraduate courses and contribute to the development of the curriculum in the Computer Science Department and CY Tech Engineering School. Teaching activities will not exceed 64 hours per year during the whole duration of the CPJ.
About CY Cergy Paris University
This chair carries significant reduction in teaching duties for 5 years and funding for a PhD student, equipment and travel.
CY Cergy-Paris University (CYU) brings together the former Cergy-Pontoise University, ESSEC Graduate School of Management, EISTI and other graduate schools of engineering in the Cergy-Pontoise area. It is located 30km North-West of Paris with frequent direct trains. CYU has 30,000 students and 500 faculty across 25 large research labs.
Contacts
Lab: Prof. Olivier Romain – director of ETIS (olivier.romain@cyu.fr)
Research: Prof. Lola Cañamero (lola.canamero@cyu.fr)
Teaching: Prof. Iryna Andriyanova (iryna.andriyanova@cyu.fr)
Applying
Applications must be submitted electronically via the Galaxy site – the French government recruitment site for academics – where further details about the position can also be found.
In order to apply you will need to create an account on Galaxy: please refer to the instruction guide in english.
Application deadline: Applications must be submitted in full before April 11th 2022, 4pm CET.
