Federated ML Engineer for Neurotech & Neuromorphic AI

Inria, the French national research institute for the digital sciences; France; Híbrido; EUR 42.000 - 64.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Partial public transport reimbursement

7 weeks of annual leave + RTT days

Teleworking options

Professional equipment available

Descripción de la vacante

Inria is seeking a researcher to join the Loop project, focusing on federated learning for FRMI/EEG data, online signal processing, and distributed algorithms. The role combines data engineering, algorithm design, and software development within a multidisciplinary academic setting.

You will adapt federated methods to neuromorphic time-series data, implement scalable solutions, and collaborate with teams across computer science and neuroscience.

Formación

• Experience with distributed algorithms and federated learning.
• Ability to work in an interdisciplinary academic setting.
• Strong programming skills in Python and Rust.

Responsabilidades

• Join the team that builds the data preparation pipeline for large-scale data.
• Adapt and implement federated algorithms tailored to project specs.
• Extend DecLearn to decentralized settings and address privacy considerations.
• Work on neuromorphic-inspired computation and time-series data processing.
• Demonstrate strong understanding of distributed algorithms and software design in Python/Rust.

Conocimientos

Teamwork

Communication

Learning mindset

Python

Rust

Herramientas

Python

Rust

Descripción del empleo

Inria is seeking a researcher to join the Loop project, focusing on federated learning for FRMI/EEG data, online signal processing, and distributed algorithms. The role combines data engineering, algorithm design, and software development within a multidisciplinary academic setting.

You will adapt federated methods to neuromorphic time-series data, implement scalable solutions, and collaborate with teams across computer science and neuroscience.