4 machine-learning positions at CEA in France

CEA Implementation of Machine Learning techniques H/F

Research Project: Implementation of Machine Learning techniques to optimize laser-plasma accelerators experimentally and numerically for industrial and medical applications. Since the first

Energy Quantitative Modelling Engineer H/F

output databases; deployment of methods and tools for data acquisition and visualization; ** AI/Machine Learning/Deep learning techniques for model input and output data analysis and production, in

Scenario Generation for autonomous vehicle H/F

science or related field. Skills in AI, machine learning, statistical analysis and data processing (e.g. proficiency in Python, R, MATLAB). An interest in autonomous vehicles, robotics and the application

PhD Position in AI-Assisted Generation of High-Level Models and Simulators for Hardware Design

behaviour. The goal of the thesis is to design a methodology implemented in a tool that takes low-level RTL models as input and automatically generates an ISS by exploiting recent advances in machine learning