Federated Neuroscience ML Engineer: Brain Signals

Inria Villeneuve d'Ascq; Villeneuve-d'Ascq; On-site; EUR 42,000 - 66,000; Full time

Job summary

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

Qualifications

• Strong understanding of distributed algorithms.
• Software design and development skills; Python and Rust recommended.
• Mastering English is essential.
• Teamwork and clear communication in an academic setting.

Responsibilities

• Develop code.
• Write documentation.
• Write tests.
• Launch experiments.
• Report activity in the consortium.

Skills

Distributed algorithms

Python

Rust

English

Job description

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