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Conduct independent research at the intersection of AI and neuroscience, focusing on behavior analysis or embodied AI. Responsibilities include developing open-source tools, mentoring students, and collaborating with international partners.
Requires a PhD in computer science, computational neuroscience, robotics, or a related field with a strong publication record. Candidates must possess solid Python programming skills and expertise in either computer vision or reinforcement learning.
The A. Mathis Group for Computational Neuroscience and AI (CNAI), led by Professor Alexander Mathis, is seeking two postdoctoral fellows to join our team working at the intersection of artificial intelligence and neuroscience. Our research is built around three intertwined questions: how to measure and understand 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. We develop widely-used open-source tools (e.g., DeepLabCut), train biomechanically realistic embodied agents (e.g., MuscleMimic, Kinesis, Arnold), and build AI-based models of sensorimotor processing.
We are recruiting two postdocs:
For both positions:
Position 1 — additional desirable expertise:
computer vision, video understanding, action recognition, multimodal/vision-language models, pose estimation, or large-scale self-supervised learning. Familiarity with neuroscience, or ethology is a plus.
Position 2 — additional desirable expertise:
reinforcement learning, imitation learning, optimal control, dynamical systems, or related ML areas; experience with physics simulators (MuJoCo). Familiarity with motor neuroscience and biomechanics is a plus.
Applications should be submitted exclusively through the EPFL website. Postdoctoral applications should consist of:
For any questions, please reach out by email to [email protected] with the subject line "Postdoc Application 2026 – [Position 1 / Position 2 / Both]". Applications will be processed as they arrive until the positions are filled.
Additional information about our research can be found at https://cnai.epfl.ch.
EPFL is an equal opportunity employer and is committed to fostering a diverse and inclusive workplace.
Offices: STATION 1, Lausanne, Vaud 1015, ch
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