Postdoctoral Positions in Computational Neuroscience, Computer Vision & Embodied AI at EPFL École polytechnique fédérale de Lausanne in Switzerland

EPFL is recruiting two postdoctoral fellows for research at the intersection of artificial intelligence and neuroscience.

The positions are in the group of Alexander Mathis at the École polytechnique fédérale de Lausanne (EPFL), Switzerland. The lab works on understanding behavior with AI, how brains and embodied agents learn to control the body, and how the brain builds a sense of its body through proprioception.

Open postdoc areas:
1) Postdoc in Computer Vision & AI for Behavior Analysis
2) Postdoc in Embodied AI (Reinforcement Learning for Motor Control)

The research environment includes widely used open-source tools such as DeepLabCut and projects involving biomechanically realistic embodied agents such as MuscleMimic, Kinesis, and Arnold. The work is strongly oriented toward computational neuroscience, sensorimotor processing, behavior analysis, computer vision, and reinforcement learning.

Eligibility highlights: this is a postdoctoral recruitment, so applicants should have a strong background and research experience aligned with AI, neuroscience, embodied AI, motor control, or related quantitative fields.

Funding: the post announces postdoctoral positions at EPFL, but no stipend or salary amount is stated in the excerpt.

How to apply: read the EPFL careers posting for the full job description and application instructions. Use the job link to access the application portal and submit your materials through EPFL's recruitment system.

Application window: no deadline is stated in the provided text.