Postdoctoral Positions in Computational Neuroscience & AI — EPFL
NouveauCHF 60 500 - 91 500
EPFL · Genève (GE)
- Lieu
- Genève
- Contrat
- full-time
- Publié
- il y a 2 jours
SalaireCHF 60 500 - 91 500
Vue d’ensemble du poste
Mission 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.
- Mission 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.
- Postdoc in Embodied AI (Reinforcement Learning for Motor Control) Main duties and responsibilities For both positions:
- Conduct innovative, independent research aligned with the lab's mission and the candidate's interests
Responsabilités principales
- Postdoc in Embodied AI (Reinforcement Learning for Motor Control) Main duties and responsibilities For both positions:
- Conduct innovative, independent research aligned with the lab's mission and the candidate's interests
- Contribute to the lab's open-source software, datasets, and benchmarks
- Mentor PhD and Master's students and contribute to the lab's collaborative culture
- Engage with collaborators across EPFL and beyond (neuroscience labs, ecology partners, clinical collaborators)
- Present research at international conferences and workshops Position 1: Computer Vision & AI for Behavior Analysis
- Contribute to the creation of behavioral datasets for groups of animals
- Develop methods for animal and environment reconstruction
- Develop methods for behavior understanding from multi-view video and audio recordings
- Advance multimodal large language models for fine-grained action understanding and reasoning
Processus de candidature
- Work location: Campus Biotech, Geneva How to apply Applications should be submitted exclusively through the EPFL website.
- Postdoctoral applications should consist of: A motivati
Détails supplémentaires
- 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:
- Help shape the next generation of DeepLabCut and related open-source tools used by labs worldwide. Position 2: Embodied AI
- Familiarity with motor neuroscience and biomechanics is a plus.
- Competitive salary in line with EPFL postdoc standards Excellent working conditions
- Contract start date: flexible, ideally summer 2026 or as soon as possible thereafter
- Postdoctoral applications should consist of:
Notes et contenu original
- 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:
- Help shape the next generation of DeepLabCut and related open-source tools used by labs worldwide.
- Position 2: Embodied AI
- Competitive salary in line with EPFL postdoc standards
- Excellent working conditions
- Activity rate: 100%
- A motivati
