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PhD Explainable VLMs for Anomaly Detection in Crashworthiness Analyzes

New

Job

  • Level
    Experienced
  • Job Field
    Data
  • Employment Type
    Part Time
  • Contract Type
    Temporary employment
  • Location
    Munich
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will develop innovative AI models for crash video evaluation, integrate machine learning with physics-based simulations, and optimize workflows to enhance safety engineering in automotive design.

    Job Technologies

    Your role in the team

    • As a PhD student in our team at the BMW Group, you contribute to AI-based crash video evaluation using vision-language models.
    • You support the development of innovative AI models and data-driven methods that help improve the accuracy and efficiency of crashworthiness assessments in automotive safety engineering.
    • You support the development of AI models for vehicle crash behavior using modern geometric AI architectures.
    • Together with the team, you help integrate machine learning and data analytics approaches with physics-based simulations to improve prediction accuracy.
    • You also contribute to the development of automated workflows and optimization methods for crash simulations.
    • Within the project, you support research on AI models for CAx (CAD, CAE, etc.) applications in the crash design process for cars.

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    Our expectations of you

    Education

    • Master's degree in Engineering, Computer Science, Mathematics, or a related field.

    Qualifications

    • Extensive knowledge of computer vision and multimodal / vision-language models, e.g. transformers or CLIP-type architectures.
    • A track record of research contributions, such as publications or conference talks, is a plus.
    • Business-fluent English; German language skills are a plus.

    Experience

    • Experience with data preprocessing, annotation workflows, and large multimodal datasets, including images, videos, and point clouds.

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    What we offer

    • Umfassendes Mentoring & Onboarding.
    • Personal & professional development.
    • Digital offers & mobile working.
    • Attraktive & faire Vergütung.
    • Jährliche Sonderzahlungen wie Urlaubsgeld und Weihnachtsbonus.
    • Apartment offers for students (subject to availability & only Munich).

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    Benefits

    Work-Life-Integration

    Health, Fitness & Fun

    Food & Drink

    Topics You Will Work On

    Job Locations

    • Location Munich

      Bayern

      Germany

    About Your Employer

    BMW AG

    BMW AG

    Our world-leading premium automotive brands BMW, MINI, Rolls-Royce and our motorcycles, along with our comprehensive range of high-quality financial and mobility services make us a unique provider.

    Description

  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Vehicle Manufacturing, Supplier, Industry, Production
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    Logo BMW AG

    PhD Explainable VLMs for Anomaly Detection in Crashworthiness Analyzes

    Location
    Munich
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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