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Stuttgart

    Thesis - Generating a Tree-Based Explanation for AI Models - Stuttgart, Deutschland - Fraunhofer-Gesellschaft

    Fraunhofer-Gesellschaft background
    Beschreibung

    Was Sie bei uns tun

    In this thesis, you will implement and evaluate the feasibility of a novel explanation method inspired by SHAP. This method will generate a set of explanations represented by a tree, potentially offering a more intuitive understanding of model predictions.

    Was Sie mitbringen

    • Experience in Python programming and the ability to write clean and well-structured code
    • Prior experience with machine learning and common frameworks such as TensorFlow, PyTorch, or scikit-learn is a plus
    • Knowledge of German is a plus

    Was Sie erwarten können

    • Opportunity to work at the intersection of research and industry within one of Europe's leading AI ecosystems
    • Contribute to actual industrial projects with code that is implemented in real-world applications
    • Employment as a research assistant (HiWi) for the duration of your thesis contract

    Wir wertschätzen und fördern die Vielfalt der Kompetenzen unserer Mitarbeitenden und begrüßen daher alle Bewerbungen – unabhängig von Alter, Geschlecht, Nationalität, ethnischer und sozialer Herkunft, Religion, Weltanschauung, Behinderung sowie sexueller Orientierung und Identität. Schwerbehinderte Menschen werden bei gleicher Eignung bevorzugt eingestellt.

    Mit ihrer Fokussierung auf zukunftsrelevante Schlüsseltechnologien sowie auf die Verwertung der Ergebnisse in Wirtschaft und Industrie spielt die Fraunhofer-Gesellschaft eine zentrale Rolle im Innovationsprozess. Als Wegweiser und Impulsgeber für innovative Entwicklungen und wissenschaftliche Exzellenz wirkt sie mit an der Gestaltung unserer Gesellschaft und unserer Zukunft.



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