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Reference : UMR7253-MOHSAL-003
Workplace : COMPIEGNE
Date of publication : Tuesday, October 01, 2019
Type of Contract : FTC Scientist
Contract Period : 6 months
Expected date of employment : 1 November 2019
Proportion of work : Full time
Remuneration : between 2423 € and 2612 € Euros gross monthly
Desired level of education : 5-year university degree
Experience required : 1 to 4 years
In order to meet a growing need for complex systems to adapt predictive maintenance policies by integrating uncertainties in the failure and repair data, the Heudiasyc laboratory (UMR CNRS 7253) aims to host an engineer dedicated to the development of predictive models based on hidden Markov models that will be used for learning, these models being adapted to the representation of the problems posed since they make appear at the same time the states of the environment, the possible actions for an agent, and the transitions between states due to the actions to estimate the remaining useful life of the components and the overall system.
Task 1: Methodology Development and Predictive Model Design
• Based on the previous tasks that will come in input data from the partners involved: hidden Markov models with Matlab software for dynamic modeling of system states.
Task 2: Implementation on concrete cases defined by the End User (SEMITAN)
• In direct connection with the end-user according to the studies that will be defined (bogies, air conditioning, ...). This task will be conducted in an industrial environment (SEMITAN) according to the specifications that will be defined in task 2 of the ANR project MAPSYD.
Scientific and technical skills :
• Dependability, maintenance
Operational, methodological & organizational technical skills :
• MATLAB programming
• Knowledge in the field of sensors and railway systems
Relational & behavioral skills:
• Rigor and sense of organization
• Autonomy and strength of proposal
The Heudiasyc Laboratory was created in 1981. From the start Heudiasyc has been closely allied to CNRS and is attached to CNRS's INS2I (Information Sciences) section. Heudiasyc's research is in the field of information and digital technology (computer science, automatic control, robotics, and artificial intelligence).
This position of research engineer is part of the project ANR MAPSYD (Predictive Maintenance of Transport Systems in the presence of incomplete or uncertain data). Several industrial partners (Sector, Synox) and academics (Louis Bachelier Institute, Heudiasyc) are involved in this project. The position will be located at the Heudiasyc UMR CNRS 7253 laboratory.
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