AI Graph Networks Internship - Radar Data (Grenoble)

CEA; Grenoble; On-site; EUR 11,000 - 13,000; Full time

Job summary

The LIST, Multi-Sensor Integrated Intelligence Laboratory at CEA in Grenoble invites an intern to work on AI: Graph-based Artificial Neural Networks using radar data. The project aims to reconstruct vital signs (breath, heart) from sparse radar measurements and develop graph-based AI methods.

You will implement novel processing techniques, collaborate with a dynamic team, and gain hands-on experience in neural networks and AI research within a leading public research institution in Grenoble.

Qualifications

• Strong motivation to learn and contribute to AI research.
• In-depth knowledge of computer science and programming (Python).
• Familiarity with AI and neural networks; PyTorch or TensorFlow experience is a plus.

Responsibilities

• Implement and propose innovative methods for processing radar sensor data.
• Collaborate with a multidisciplinary team and leverage Graph Neural Networks within LIST laboratory.
• Upskill in artificial neural networks while contributing to ongoing research.

Skills

Python

Graph Neural Networks

Deep learning

PyTorch

TensorFlow

Education

Final year Engineering school / Master 2

Tools

PyTorch

TensorFlow

Job description

The LIST, Multi-Sensor Integrated Intelligence Laboratory at CEA in Grenoble invites an intern to work on AI: Graph-based Artificial Neural Networks using radar data. The project aims to reconstruct vital signs (breath, heart) from sparse radar measurements and develop graph-based AI methods.

You will implement novel processing techniques, collaborate with a dynamic team, and gain hands-on experience in neural networks and AI research within a leading public research institution in Grenoble.