Federated Neuroscience ML Engineer: Brain Signals
Role Description & Overview
Inria Villeneuve d'Ascq is seeking a researcher to adapt and extend the declearn API for FRMI/EEG time-series data, with a focus on federated learning in a neuromorphic setting. You will join a cross-disciplinary Loop project and contribute to scalable data pipelines, decentralized learning algorithms, and privacy-aware methods.
The role emphasizes code development, documentation, testing, and experimentation within an academic research environment, collaborating across teams and reporting
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Key Details
- Date Posted: 23 Oct 2026
- Location: villeneuve d'ascq
- Employment: Permanent
- Workplace: Hybrid
- Specialism: Informatique & Technologie, Génie et Technique
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