Thesis - Generating a Tree-based Explanation for Ai
vor 6 Monaten
und Raumfahrttechnik, Maschinenbau, Mathematik, Physik, Regelungstechnik, Softwaredesign, Softwareengineering, technische Informatik, Technologiemanagement or similar.
**What you will do**
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.
**What you bring to the table**
- 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
**What you can expect**
- Opportunity to work at the intersection of research and industry within one of Europe's leading AI ecosystems
- Employment as a research assistant (HiWi) for the duration of your thesis contract
With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
Frau Jennifer Leppich
Recruiting
Tel. +49 711 970-1415
Fraunhofer Institute for Manufacturing Engineering and Automation IPA
Requisition Number: 72930 Application Deadline:
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