École Polytechnique Fédérale de Lausanne
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Postdoctoral Positions in Computational Neuroscience & AI at EPFL École Polytechnique Fédérale de Lausanne in Switzerland
Degree Level
Postdoc
Field of study
Computer Science
Funding
Competitive salary in line with EPFL postdoc standards. Full-time fixed-term contract initially for one year with the possibility of extension. EPFL provides access to compute infrastructure, a collaborative research environment, conference travel, and professional development.
Country
Switzerland
University
École Polytechnique Fédérale de Lausanne
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About this position
EPFL’s A. Mathis Group for Computational Neuroscience and AI (CNAI) is recruiting two postdoctoral fellows for research at the intersection of artificial intelligence and neuroscience.
Position 1: Computer Vision & AI for Behavior Analysis focuses on behavioral datasets, animal and environment reconstruction, multi-view video and audio understanding, multimodal large language models, and the next generation of DeepLabCut and related open-source tools.
Position 2: Embodied AI focuses on muscle-actuated, biomechanically realistic agents, reinforcement learning, imitation learning, curriculum methods, full-body musculoskeletal control, and links between learned control policies and neural representations of movement.
Applicants should have a PhD completed or near completion in computer science, applied mathematics, computational neuroscience, robotics, physics, or a closely related field, plus a strong publication record, strong Python/deep-learning skills, excellent English, and a collaborative, open-science mindset. Helpful background includes computer vision, video understanding, action recognition, vision-language models, pose estimation, self-supervised learning, reinforcement learning, optimal control, dynamical systems, MuJoCo, motor neuroscience, and biomechanics.
The role is based at Campus Biotech, Geneva, Switzerland. EPFL offers a vibrant interdisciplinary environment, access to compute infrastructure, competitive postdoc salary, and opportunities for international collaboration and conference travel. The contract starts flexibly, ideally in summer 2026 or soon after, at 100% activity rate, initially for one year with possible extension.
Apply through the EPFL careers portal with a motivation letter indicating the position(s), CV with publication list, two relevant publications, and referee email addresses. Questions can be sent to [email protected].
Funding details
Competitive salary in line with EPFL postdoc standards. Full-time fixed-term contract initially for one year with the possibility of extension. EPFL provides access to compute infrastructure, a collaborative research environment, conference travel, and professional development.
What's required
PhD completed or close to completion in computer science, applied mathematics, computational neuroscience, robotics, physics, or a closely related field. Applicants should have a strong publication record, solid Python and modern deep-learning framework skills, excellent spoken and written English, and be self-motivated, collaborative, committed to open science and reproducible research, and able to work independently and in a team. For Position 1, desirable expertise includes computer vision, video understanding, action recognition, multimodal/vision-language models, pose estimation, large-scale self-supervised learning, and familiarity with neuroscience or ethology. For Position 2, desirable expertise includes reinforcement learning, imitation learning, optimal control, dynamical systems, related ML areas, experience with physics simulators such as MuJoCo, and familiarity with motor neuroscience and biomechanics.
How to apply
Apply exclusively through the EPFL website. Submit a motivation letter stating which position you are applying for, a CV with publication list, two relevant publications, and the email addresses of two or more referees. For questions, email [email protected] with the specified subject line.
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