Université Côte d'Azur, CNRS, Observatoire de la Côte d'Azur, IRD, Geoazur
Just Landed
2 days ago
Postdoc in Ultra-Low Power Multimodal AI with Spiking Neural Networks at CNRS i3S / Université Côte d'Azur and IMRA Europe CNRS i3S, Université Côte d'Azur and IMRA Europe in France
Degree Level
Postdoc
Field of study
Computer Science
Funding
12-24 month renewable postdoctoral position. The post is part of the UMAI ANR Industrial Chair and is described as well-resourced, with access to event cameras, neuromorphic boards, robotic/mobility demonstrators, and GPU servers.
Country
France
University
Université Côte d'Azur, CNRS, Observatoire de la Côte d'Azur, IRD, Geoazur
How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
Postdoctoral position at CNRS i3S, Université Côte d'Azur, and IMRA Europe in Sophia Antipolis, France.
The project is part of the UMAI ANR Industrial Chair on Ultra-Low Power Multimodal AI with Spiking Neural Networks, led by Prof. Jean Martinet with Dr. Yuta Nakano (IMRA Europe / AISIN-Toyota Group).
Research topics include spiking neural networks, neuromorphic computing, event-based vision, multimodal fusion, and hardware-validated efficiency on platforms such as Synsense SPECK, Innatera Pulsar, BrainChip AKIDA, and FPGA.
The post mentions heterogeneous sensor streams such as event cameras, mmWave radar, and IMU, with a focus on unified spike encoding and asynchronous fusion while preserving sparsity.
Applicants should have a completed or nearly completed PhD in Computer Science, Electrical Engineering, Computational Neuroscience, Robotics, or a related area. Desired experience includes SNNs, event-based vision, neuromorphic hardware, Python, PyTorch, publication experience, and strong scientific writing.
The position is 12–24 months, renewable, with start ASAP from October 2026. Review is rolling until filled. The post also highlights access to a well-resourced platform with event cameras, neuromorphic boards, robotic demonstrators, and GPU servers.
Funding details
12-24 month renewable postdoctoral position. The post is part of the UMAI ANR Industrial Chair and is described as well-resourced, with access to event cameras, neuromorphic boards, robotic/mobility demonstrators, and GPU servers.
What's required
Completed or nearly completed PhD in Computer Science, Electrical Engineering, Computational Neuroscience, Robotics, or a related field. Strong background in spiking neural networks, event-based vision, or neuromorphic computing is preferred. Hands-on experience with neuromorphic hardware is a strong plus. Applicants should have proficiency in Python and PyTorch, a publication track record, strong scientific writing skills, and interest in the academic-industrial interface.
How to apply
Apply as soon as possible; the post says review is rolling until the position is filled. Contact the listed supervisors or the hosting group through the opportunity announcement if instructed in the original post.
More information can be found here
Ask ApplyKite AI
How do I apply for this?
Sign in for free to reveal details, requirements, and source links.