Internship: Real-Time Robot RCA with Causal AI

CEA; Saclay; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A technology research organization in Saclay is offering an internship focused on Runtime Root-Cause Analysis for Intelligent Robots via Causal AI Techniques. The candidate will explore causal AI methods to enhance robotic resilience and autonomy. Applicants should have a strong background in Python and be pursuing a Master’s degree in computer science or robotics. A collaborative and interdisciplinary environment is expected. Proficiency in English is essential; knowledge of French is not mandatory.

Qualifications

• Strong programming skills in Python, with experience in data analysis and machine learning libraries.
• Familiarity with probabilistic modelling and Bayesian networks, including causal inference techniques.
• Experience with Docker, CI/CD, and GitLab is an advantage.

Responsabilités

• Conduct a survey of causal AI techniques relevant for runtime RCA in robots.
• Select appropriate approaches based on modeling assumptions for simulated scenarios.
• Choose an open-source software framework for implementing selected approaches.
• Conduct experiments in simulated setups to analyze performance.
• Implement a ROS 2 stack to integrate runtime RCA capabilities.

Connaissances

Python programming

Data analysis

Machine learning libraries

Probabilistic modelling

Bayesian networks

Docker

CI/CD

GitLab

Robotics simulation environments

ROS 2

Communication skills in English

Formation

Master or equivalent in computer science, robotics, or related fields

Description du poste

A technology research organization in Saclay is offering an internship focused on Runtime Root-Cause Analysis for Intelligent Robots via Causal AI Techniques. The candidate will explore causal AI methods to enhance robotic resilience and autonomy. Applicants should have a strong background in Python and be pursuing a Master’s degree in computer science or robotics. A collaborative and interdisciplinary environment is expected. Proficiency in English is essential; knowledge of French is not mandatory.