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  • Simi Reality Motion Systems GmbH

    Unterschleißheim

    • ZF LIFETEC is one of the world's leading suppliers of passive safety systems. As Simi Automotive, a global innovation leader for motion capture software and complete systems for recording and analyzing human movements and a subsidiary of ZF LIFETEC, we contribute our experience with camera-based systems to developing solutions for vehicle interior monitoring and occupant safety. We are working on adaptive restraint systems with our colleagues at ZF LIFETEC.

    Tasks

    • Support our team to select fitting statistical metrics and plot types to analyze and visualize the available data
    • Implement methods to access, analyze and visualize the data using Python
    • Incorporate visualizations into a web app and create an interactive dashboard using a Python framework
    • Get acquainted with our internal data infrastructure and machine learning datasets
    • Understand annotation types required for various computer vision tasks in the automotive domain
    • Write clean, maintainable code and comprehensive unit tests

    Requirements

    • Currently enrolled at a university pursuing a Bachelor’s or Master’s degree in computer science or similar
    • Study program requires a mandatory internship of minimum 18 weeks
    • Practical experience in Python
    • Experience with Python libraries such as NumPy and Matplotlib is a plus
    • Basic understanding of SQL databases
    • Attention to detail as well as precise and structured working style
    • Good verbal and written communication skills in English

    Benefits

    • Closely collaborate with a small and agile team of highly motivated machine learning and software engineers
    • Actively contribute to a Python-based data analysis tool which will benefit future machine learning tasks
    • Opportunity to get hands-on experience with exciting computer vision solutions in the automotive domain
    • Possibility to write your Bachelor’s thesis or to continue as a working student

    Please apply with your up-to-date and complete CV in tabular form, a motivational statement including your earliest possible start date and a current transcript of records.

    We look forward to your application!

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