Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : IRT SystemX
Durée : 3 ans
Contact : johanna.baro@irt-systemx.fr
Date limite de publication : 2021-11-30

Contexte :
It is undeniable that artificial intelligence is now critical to the competitiveness of French industry by contributing to innovation-based growth. In this context, the integration and/or safe use of artificial intelligence-based technologies is essential to support engineering, industrial production and the development of innovative products and services. « Industrialization of artificial intelligence for mission-critical systems » is one of the major objectives of the national Grand Défi Trust IA. This industrialization imperative requires providing an environment to support design, validation and testing. It will focus on reinforcing confidence, explainability, and even allow the certification of artificial intelligence. A group of major industrialists in the fields of Defense, Transportation and Energy has been formed to present the roadmap of this program confiance.ai, with the support of leading academic partners. The SystemX Technological Research Institute is coordinating this program.

The IRT SystemX is located at the heart of the Paris-Saclay scientific campus of world excellence, and has the ambitions of a world-class technological research center in the field of digital systems engineering. Its mission is to generate new knowledge and technological solutions based on breakthroughs in digital engineering and to disseminate its skills in all economic sectors.

The subject of the thesis has been defined by the consortium gathered in the framework of the confiance.ai program and more precisely in the EC3 project. The direction of the thesis will be ensured by Goran Frehse of the Computer Science and Systems Engineering (U2IS) laboratory from ENSTA, Paris and the thesis will be registered at the doctoral school IP Paris of Institut Polytechnique de Paris (ED 626).

The U2IS laboratory, led by David Filliat, is developing research in the field of design and reliability of systems integrating autonomous decision-making processes with applications in intelligent transport, robotics, defense and energy. The laboratory brings together the research activities of the ENSTA Paris School in computer science, robotics, vision, embedded systems, signal and image processing and hybrid system design and analysis.

In addition, the doctoral student will benefit from a scientific supervision in the confidence.ai program by Johanna BARO, the referent supervisor in the EC3 project. Within the IRT SystemX, the doctoral student will be hierarchically attached to the scientific axis « Sciences des données & Interaction » whose manager is Georges Hébrail.

Sujet :
The detailed subject is avalaible here : https://www.irt-systemx.fr/recrutement/data-based-monitoring-template-based-probability-distributions/

This PhD subject relates to the online monitoring of AI models set up to detect at runtime any deviation of an AI component deployed in operation from the specified expected behavior or from safe operation properties.

The challenge to address in this thesis work is to introduce machine learning technique in a hybrid approach mixing data and model from control theory to monitor the state of the system in real-time. Beforehand, different types of anomaly profiles need to be formalized in order to capture the desired properties and trustworthiness guarantees. The goal is to develop a hybrid data-driven and model-based approach using envelope based-models to detect abnormal behavior based on extrapolation in a runtime monitoring system.

Profil du candidat :
Candidates must hold a master or engineering degree with a strong academic background related to either control theory or machine learning and should be ready to deep dive into the other domain.

Knowledge and know-how:
– Fundamentals of feedback control (Kalman filters, linear systems)
– Basic knowledge of statistics and probability theory
– Basics in any of the programming languages Python, C/C++, or Matlab

Application procedure : https://www.irt-systemx.fr/recrutement/data-based-monitoring-template-based-probability-distributions/

Formation et compétences requises :
Candidates must hold a master or engineering degree with a strong academic background related to either control theory or machine learning and should be ready to deep dive into the other domain.

Knowledge and know-how:
– Fundamentals of feedback control (Kalman filters, linear systems)
– Basic knowledge of statistics and probability theory
– Basics in any of the programming languages Python, C/C++, or Matlab

Application procedure : https://www.irt-systemx.fr/recrutement/data-based-monitoring-template-based-probability-distributions/

Adresse d’emploi :
The position is based in Palaiseau (IRT SystemX). The PhD student may be required to travel to the laboratory.