Runtime Root-Cause Analysis for Intelligent Robots via Causal AI Techniques H/F
il y a 2 jours
Runtime Root-Cause Analysis for Intelligent Robots via Causal AI Techniques H/F Contract: Internship (6 months) Location: Saclay, France (Palaiseau, Essonne) Industry: Research Services Employment Type: Internship – Seniority level: Not applicable Position Description Root‑Cause Analysis (RCA) identifies the fundamental cause of failures, not just symptoms. This internship focuses on applying causal AI techniques to develop runtime RCA capabilities for intelligent robots operating in uncontrolled environments. Causal inference models the relationships between causes and effects, allowing a robot to distinguish a symptom from the actual cause such as a hardware bug or environmental factor. During the internship you will survey and experiment with suitable approaches from the scientific literature to enhance the resilience and safe autonomy of robots. Responsibilities Conduct a survey of causal AI techniques from the scientific literature (e.g., Bayesian network‑based methods, counterfactual reasoning, etc.), with a focus on those applicable to runtime RCA in intelligent robots. Select a few promising approaches based on the modeling assumptions that characterize the simulated scenarios. Choose an open-source software framework from among the many existing ones that support the selected approaches (e.g., PyMC, CausalNex, DoWhy, etc.). Conduct experiments in simulated scenarios to analyze and compare the performance of the selected causal AI approaches in diagnosing and resolving anomalies at runtime, and envision how they could complement or be complemented by other tools and approaches. Implement a ROS 2 stack that wraps the implemented runtime RCA capabilities. [Optional] Apply the implemented runtime RCA capabilities to a physical setup, if time permits. Document the software developed during the internship and prepare a comprehensive report detailing the results and findings of the investigation. Applicant Profile Studying for a Master (or equivalent) in computer science, robotics, embedded systems or closely related topics. 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 is an advantage. Experience with Docker, CI/CD, and GitLab, as well as with robotics simulation environments and ROS 2, is an advantage. Self‑learning and teamwork skills, motivation and interest to work in an interdisciplinary environment. Excellent communication skills in English, international candidates are encouraged to apply; knowledge of the French language is not required. Location Details Site: Saclay Job location: France, Ile‑de‑France, Essonne (91) Candidate Criteria Languages: English (Fluent) Prepared diploma: Bac+5 - Master 2 Recommended training: Computer science, Robotics, Embedded systems or closely related topics PhD opportunity: Oui #J-18808-Ljbffr
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Saclay, France CEA Temps pleinPost-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/FJoin to apply for the Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F role at CEAPost-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F1 day ago Be among the first 25 applicantsJoin to apply for the Post-doctoral Position...
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Saclay, Île-de-France CEA Temps pleinRejoignez-nous en Stage CEA Tech Corporate from CEA Tech on Vimeo .En tant que stagiaire au CEA, vous aurez l'opportunité de travailler au sein d'un environnement de recherche de renommée mondiale. Nos équipes sont composées d'experts passionnés et dédiés, offrant un cadre propice à l'apprentissage et à la collaboration. Vous aurez accès à des...
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Stage - Téléopération robotique via motion-capture et casque XR
il y a 20 heures
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Saclay, France CEA Temps pleinStage – Téléopération robotique via motion‑capture et casque XR Mathématiques, information scientifique, logiciel Description du poste Votre mission principale sera d’intégrer un casque de réalité étendue (Meta Quest 3) à notre jumeau numérique, en développant les fonctionnalités de téléopération robotique et de visualisation les plus...
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Stage Téléopération Robotique via XR et Mocap
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Saclay, France CEA Temps pleinOverviewImage Editing of Complex Visual Scene via Natural Language H/FOrganizationThe 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...
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Saclay, Île-de-France CEA Temps pleinGeneral 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...
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Image Editing of Complex Visual Scene via Natural Language H/F
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Saclay, France CEA Temps pleinS3 – Navigation and manipulation with a mobile robot and arm, and LLM interaction Référence 2025-38074 Based in Saclay (Essonne), the LIST is one of the two institutes of CEA Tech, the Technological Research Division of the CEA. Dedicated to intelligent digital systems, its mission is to carry out technological developments of excellence on behalf of...
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Saclay, Île-de-France CEA Temps pleinInformations générales Entité de rattachement Le CEA est un acteur majeur de la recherche, au service des citoyens, de l'économie et de l'Etat.Il apporte des solutions concrètes à leurs besoins dans quatre domaines principaux : transition énergétique, transition numérique, technologies pour la médecine du futur, défense et sécurité sur un...
