The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas :
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
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.
Mathematics, information, scientific, software
Internship
Internship in AI: Graph-based Artificial Neural Networks H/F - Grenoble
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
artificial intelligence, deep learning, artificial neural networks, graph neural networks, computer
Desired profile: Student in the final year of engineering school or Master 2
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.
Grenoble
France, Auvergne-Rhône-Alpes, Isère (38)
Grenoble
Bac+5 - Diplôme École d'ingénieurs
01/02/2027
The CEA is the French Alternative Energies and Atomic Energy Commission ("Commissariat à l'énergie atomique et aux énergies alternatives"). It is a public body established in October 1945 by General de Gaulle. A leader in research, development and innovation, the CEA mission statement has two main objectives: To become the leading technological research organization in Europe and to ensure that the nuclear deterrent remains effective in the future.
The CEA is active in four main areas: low-carbon energies, defense and security, information technologies and health technologies. In each of these fields, the CEA maintains a cross-disciplinary culture of engineers and researchers, building on the synergies between fundamental and technological research.
The civilian programs of the CEA received 49% of their funding from the French government, and 30% from external sources (partner companies and the European Union).
The CEA had a budget of 4,3 billion euros.
The CEA is based in ten research centers in France, each specializing in specific fields. The laboratories are located in the Paris region, the Rhône-Alpes, the Rhône valley, the Provence-Alpes-Côte d'Azur region, Aquitaine, Central France and Burgundy. The CEA benefits from the strong regional identities of these laboratories and the partnerships forged with other research centers, local authorities and universities.
