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    Central Lab Data Sciences And Network Engineer M/F - Montà, Italia - St Microelectronics

    St Microelectronics
    St Microelectronics Montà, Italia

    2 settimane fa

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    Descrizione
    Provide the basic functions of the website;Allow users to use social media features; Central lab data sciences and network engineer M/F Posting titleCentral lab data sciences and network engineer M/F
    Regular/TemporaryRegular

    OUR TECHNOLOGY STARTS WITH YOU At ST, we believe that technology plays a key role in helping to solve environmental and social challenges while bringing a positive contribution to people's lives.

    We create and deliver our technology as microchips, that form a mostly invisible part of the world we live in today.

    We trust in the synergy of our talents to think, create and develop solutions for the world in which they would like to live, that's now the time for you to join us
    WHY JOIN US You are fond of innovation and technology.

    You like the idea of being part of a big company and working in a transversal organization on continuous product quality improvement.

    You are curious or already passionate by all the techniques associated to physical analysis such as electronic microscopy, acoustic microscopy, X-Ray imaging, chemical characterization, or electrical analysis such as IR emission microscopy, laser stimulation, thermography and electrical stimulation.

    You are motivated by implementing advanced solutions based on machine learning and artificial intelligence to boost analysis flows and methodologies.

    ST quality laboratories organization is made for you: it offers a large playground spread across more than 15 sites in the world where you can develop your competences, build advanced digital infrastructure and elaborate smart algorithms to move toward Analysis Lab 4.0.

    OUR COLLABORATION/YOUR MISSION You will join the Product Analysis Laboratories within the Corporate Quality organization a transversal team working with the product quality laboratories.

    In particular you will integrate a team of failure analysis experts driving the key programs across the different laboratories which scope consists in improving the efficiency of our flow and infrastructure for quality analysis.

    Along an analysis flow, we use and record a big quantity of data such as pictures, signal curves, layout as examples.

    A small amount is used for reporting, and it is time to make them useful to boost our quality processes, improve the defect detection and increase the automation to maximize the success rate of our analyses.

    The team you'll be part of works on a global project to build the suitable and sustainable digital infrastructure which will reduce the effort for data entry steps, increase the traceability of our samples and activity, structure our data and metadata, allow AI data processing enhancement and globalize our knowledge.

    Your mission will consist in building the architecture of the data-lake, provide solution to enhance data recording, create algorithms for automatic defect identification or analysis routines.


    OUR SITE ProfileYOUR PROFILE Software and language:
    Windows, Linux

    CUDA GPU
    Python
    Web-based applications

    Network architecture:
    Infrastructure

    NAS
    IP
    Cloud

    Artificial Intelligence:
    Machine learning
    Standard model (Unet)
    Image processing

    Ideally:
    Failure analysis techniques (physical analysis or electrical analysis) / acoustic/electronic microscopy or equivalent knowledge
    Analog or digital design
    You have already several years experience in an industrial analysis laboratory and database architecture.

    Rigor, analytical mind, meticulousness, affinity for investigation, customer orientation, teamwork are the qualities that will allow you to succeed in this position.

    Available for travelling

    Language:
    English fluent
    French or Italian as optional

    BAC + 5:
    Engineer, Master 2 or equivalent
    Job location2-5 years
    LanguagesRequester01/06/2023
    General information Reference
    Job level40 - Experienced
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