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
2023-27298
Division description
Within the CEA, the LIST Institute is dedicated to intelligent digital systems with R&D programs in advanced manufacturing, embedded systems, and ambient intelligence. We support our partners in the fields of transportation, industry, energy, health, security, and defense, to transfer technologies resulting from innovation and to improve their competitiveness.
Description de l'unité
The Intelligent, Distributed and Embedded Instrumentation Laboratory (LIIDE) aims to develop a mixed hardware and software platform to design the functionalities of advanced instrumentation. The laboratory is jointly developing 1) the hardware component, targeting versatile and modular electronic boards accompanied by the necessary software for their operation, to cover a wide range of sensor technologies; and 2) innovative artificial intelligence functionalities for distributed measurement and frugal and distributed learning.
Position description
Category
Mathematics, information, scientific, software
Contract
Fixed-term contract
Job title
Research Engineer in machine learning
Socio-professional category
Executive
Contract duration (months)
24
Job description
In the team, you will work on the European project KINAITICS (https://kinaitics.eu/), which aims to explore new defense strategies against attacks on Cyber-Physical Systems (CPS).
CPS are deployed in various domains such as robotics, aerospace, automotive, energy, healthcare, transportation, etc., and consist of three main components: the command (sensors and actuators), the communication module, and the computation module.
Each component can be targeted by attacks, and the goal of the project is to develop AI-based defense strategies through several real-world use cases in order to make CPS resilient to those attacks.
In this position, your missions will consist of:
· Analyzing real-world use cases of the project
· Analyzing attack typologies
· Developing the attack scenario for some use cases
· Developing AI-based defense strategies
· Implementing and evaluating the effectiveness of the developed countermeasures
· Participating in consortium meetings and presenting the work progress to project partners
· Promoting the work through the drafting of technical notes, deliverables or publications.
#CEA-List
Applicant Profile
Engineering degree or PhD in the field of machine learning. Knowledge in the field of cybersecurity would be a plus.
· 1 to 2 years of experience
· Strong skills on Python development, working with Tensorflow or PyTorch libraries
· Strong communication skills (work with project partners and presentation of the results)
Position location
Site
Saclay
Job location
France, Ile-de-France, Essonne (91)
Location
SACLAY
Requester
Position start date
01/12/2023
Create candidate area
