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PhD Explainable VLMs for Anomaly Detection in Crashworthiness Analyses

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Job

  • Level
    Erfahren
  • Job Feld
    Data
  • Anstellung
    Teilzeit
  • Vertragsart
    Befristetes Dienstverhältnis
  • Ort
    München
  • Arbeitsmodell
    Hybrid, Onsite
  • Job Zusammenfassung

    In dieser Position entwickelst du innovative KI-Modelle für die Auswertung von Crash-Videos, integrierst Machine Learning mit physikalischen Simulationen und optimierst Workflows zur Verbesserung der Sicherheitstechnik im Fahrzeugbau.

    Job Technologien

    Deine Rolle im 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.

    Unsere Erwartungen an dich

    Ausbildung

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

    Qualifikationen

    • 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.

    Erfahrung

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

    Unser Angebot

    • Comprehensive mentoring & onboarding.
    • Personal & professional development.
    • Digital offers & mobile working.
    • Attractive & fair remuneration.
    • Annual special payments such as vacation pay and Christmas bonus.
    • Apartment offers for students (subject to availability & only Munich).

    Benefits

    Work-Life-Integration

    Gesundheit, Fitness & Fun

    Essen & Trinken

    Themen mit denen du dich im Job beschäftigst

    Job Standorte

    • Standort München

      Bayern

      Deutschland

    Das ist dein Arbeitgeber

    BMW AG

    BMW AG

    Weltweit führend in der Premium-Klasse: Ob Automobile, Motorräder oder Finanz- und Mobilitätsdienstleistungen - die Marken BMW, MINI, Rolls-Royce und BMW Motorrad stehen für höchste Qualität.

    Description

  • Unternehmenstyp
    Etablierte Firma
  • Arbeitsmodell
    Hybrid, Onsite
  • Branche
    Fahrzeugbau, Zulieferer, Industrie, Produktion
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    PhD Explainable VLMs for Anomaly Detection in Crashworthiness Analyses

    Ort
    München
    Arbeitsmodell
    Hybrid, Onsite
    Diversität
    Für alle Personen geeignet (m/w/d)

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