Researcher in multimodale neuromorphic IA (M/F)

CNRS - National Center for Scientific Research; France; On-site; EUR 42,000 - 52,000; Full time

Job summary

CNRS - National Center for Scientific Research in Sophia Antipolis invites a postdoctoral researcher to join the UMAI ANR Industrial Chair. You will design asynchronous multimodal SNN architectures, deploy them on neuromorphic hardware, and supervise PhD students.

Collaboration with IMRA Europe will shape core research items and demonstrator platforms. The role includes contributing to datasets, open-source software, and publications in leading conferences.

Qualifications

• > Solid background in spiking neural networks, event-based vision or neuromorphic computing.
• > Hands-on experience with neuromorphic hardware is a strong plus.
• > Proficiency in Python and deep learning frameworks (PyTorch preferred), with comfort in embedded deployment.
• > Experience with robotics (ROS, sensor integration) is appreciated.
• > Track record of publications, scientific writing skills, and ability to guide PhD students.
• > Autonomy, team spirit, and interest in interface between academic research and industry.

Responsibilities

• > Design, deploy, and evaluate multimodal SNN fusion architectures and learning algorithms.
• > Deploy, optimise and benchmark models on neuromorphic hardware and FPGA boards.
• > Develop the core research items of the Chair in close interaction with PhD students and IMRA Europe researchers.
• > Supervise and coordinate day-to-day work of PhD students.
• > Contribute to setting up robotics hardware and open-source software releases.
• > Publish in top-tier venues and contribute to patents with IMRA Europe / AISIN.

Skills

Spiking neural networks

Event-based vision

Neuromorphic computing

Python

PyTorch

Embedded deployment

Robotics (ROS)

Sensor integration

Hardware familiarity (neuromorphic)

Tools

Synsense SPECK

Innatera Pulsar

BrainChip AKIDA

FPGA boards

Job description

Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Mathematics History » History of science Researcher Profile First Stage Researcher (R1) Application Deadline 1 Dec 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Feb 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The postdoctoral researcher will contribute to the UMAI ANR Industrial Chair on ultra-low-power multimodal AI with spiking neural networks (SNNs). They will take part in the design of asynchronous multimodal SNN architectures and their deployment on neuromorphic hardware. They will also help develop the project's core research items and supervise and coordinate the work of the PhD students. Where possible, they will contribute to setting up the robotics hardware used as demonstrators.

• Design, implement and evaluate multimodal SNN fusion architectures and learning algorithms (surrogate gradient, spike-based contrastive methods), with a unified spike encoding of heterogeneous sensors (event cameras, mmWave radar, IMU).
• Deploy, optimise and benchmark models on neuromorphic hardware (among Synsense SPECK, Innatera Pulsar, BrainChip AKIDA, FPGA boards), including power and latency measurements against DNN baselines.
• Develop the core research items of the Chair in close interaction with the PhD students and the IMRA Europe researchers.
• Supervise and coordinate the day-to-day work of the PhD students (scientific guidance, planning, code and experiment reviews).
• Contribute to setting up and integrating the robotics hardware (aerial and ground robots, instrumented vehicle, mobility platform), including sensor and neuromorphic board integration.
• Contribute to the multimodal benchmark dataset and to open-source software releases.
• Publish in top-tier venues (CVPR, NeurIPS, ICLR, IEEE TPAMI, ICRA) and contribute to patent identification with IMRA Europe / AISIN.

The position is hosted at the i3S laboratory (Université Côte d'Azur - CNRS) in Sophia Antipolis, within the UMAI ANR Industrial Chair led by Prof. Jean Martinet, in partnership with IMRA Europe (R&D subsidiary of AISIN Corporation, Toyota Group), represented by Dr Yuta Nakano. The Chair builds on a collaboration active since 2023, with three ongoing CIFRE PhDs. The researcher will work on a newly equipped experimental platform (event cameras, neuromorphic boards, robotic and mobility demonstrators, GPU servers) shared between i3S and IMRA Europe. The 24-month (renewable) position starts as soon as possible from Feb. 2027.

• Solid background in spiking neural networks, event-based vision or neuromorphic computing. Hands-on experience with neuromorphic hardware is a strong plus.
• Proficiency in Python and deep learning frameworks (PyTorch preferred), with comfort in embedded deployment. Experience with robotics (ROS, sensor integration) is appreciated.
• Track record of publications, scientific writing skills, and ability to guide PhD students.
• Autonomy, team spirit, and interest in the interface between academic research and industry.