Internship in AI: Graph-based Artificial Neural Networks H/F - Grenoble

CEA; Grenoble; Vor Ort; EUR 11.000 - 13.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Python

Graph Neural Networks

Deep learning

PyTorch

TensorFlow

Ausbildung

Final year Engineering school / Master 2

Tools

PyTorch

TensorFlow

Jobbeschreibung

Internship in AI: Graph-based Artificial Neural Networks H/F - Grenoble

Category

Mathematics, information, scientific, software

Contract

Internship

Job title

Internship in AI: Graph-based Artificial Neural Networks H/F - Grenoble

Subject

The internship is focus on evaluation of Graph Neural Network coupled with radar sensor data. The fisrt use case will be the reconstruction of vital signs (breathe,heart).

6 months

Perceiving and analyzing the environment around us is a major challenge in many promising industrial sectors. In this context, artificial intelligence (AI) algorithms have undoubtedly demonstrated their effectiveness for tasks related to vision, with various sensors (camera, lidar, etc.). Today, there is a growing interest in the use of AI for radar sensor data (radio detection and ranging). Radar is indeed a sensor that stands out due to the nature of its data, its operability (low light, bad weather, etc.), and its cost. However, they produce sparse data with low spatial resolution, making them difficult to exploit with traditional algorithms. Recently, artificial neural networks based on a graph representation of data (Graph Neural Networks - GNN) have shown good accuracy on sparse and noisy sensor data [1]. Consequently, the use of GNN for radar data exploitation seems very promising [2]. The range of applications is wide, including intelligent vehicles (cabin monitoring), medical devices (vital sign measurements), gesture detection [3], or surveillance devices (fall detection).

In a rapidly evolving context with strong industrial interest, the intern will implement and propose innovative methods for processing data from a radar sensor. They will rely on AI algorithms based on GNNs currently being developed within the laboratory. The student will be integrated into a dynamic multidisciplinary team and will benefit from upskilling in artificial neural networks.

#CeaList

Methods / Means

artificial intelligence, deep learning, artificial neural networks, graph neural networks, computer

Desired profile:

Desired profile: Student in the final year of engineering school or Master 2

Desired skills :

Desired skills : A strong motivation to learn and contribute to research in artificial intelligence. In-depth knowledge of computer science and programming languages (Python). Knowledge of artificial intelligence and experience with artificial neural networks (libraries Pytorch or Tensorflow) are a plus. The recruitment interview may refer to the three publications cited.

Site

Grenoble

Location

Grenoble

Requester

01/02/2027

General information

Organisation

The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas :

• defence and security
• nuclear energy (fission and fusion)
• technological research for industry
• fundamental research in the physical sciences and life sciences

Drawing on its widely acknowledged expertise, and thanks to its 16000 technicians, engineers, researchers and staff, the CEA actively participates in collaborative projects with a large number of academic and industrial partners.

The CEA is established in ten centers spread throughout France

Reference

2026-42058

The CEA (French Alternative Energies and Atomic Energy Commission) is a leading research institute and a major player in the fields of energy, information, health, and defense. A specialist in intelligent digital systems, CEA-List's main mission is research and innovation to transfer technologies to the industrial world. The internship will take place within the LIST, in the Multi-Sensor Integrated Intelligence Laboratory (located in Grenoble), which brings together experts in artificial intelligence, embedded systems, and sensors.