OTTO FUCHS KG: Abschlussarbeit Opportunities in AI Image Recognition for Automated Quality Inspection

Experience. Knowledge. Progress.

OTTO FUCHS KG is at the forefront of innovation, making impressive strides in aerospace, global transportation, high-tech machinery, and modern architecture. We invite you to join our legacy of excellence through this unique opportunity.

Master Thesis Opportunity in AI Image Recognition

We offer a chance to write your master's thesis with us, delving into the innovative and future-focused field of AI image recognition. Specifically, you will explore the development of an automated quality inspection system for forged components.

Thesis Focus Areas:

• Investigating the current state of research and OTTO FUCHS's existing AI technologies for quality inspection.
• Working closely with process experts to capture relevant production processes and identify specific requirements.
• Collaborating with hardware specialists to select appropriate measurement technologies.
• Gathering and preprocessing relevant image data of forged components to create a high-quality dataset for model development.
• Developing and training AI models using Convolutional Neural Networks (CNNs) and other ML algorithms for automatic quality feature recognition (anomaly detection, object detection, classification).
• Analyzing results, visualizing model performance, identifying error patterns, and optimizing to improve model outcomes.
• Creating a functional prototype for automatic quality inspection and conducting initial test runs for model validation.
• Collaborating actively in interdisciplinary teams to develop practical solutions.

Qualifications:

• Enrolled student (m/w/x) in Data Science, Computer Science, Engineering, Natural Sciences, or similar fields.
• Successful completion of most of the master's coursework, preferably with a focus on Data Science and Artificial Intelligence.
• Proficiency in relevant programming languages (especially Python) and experience with tools/frameworks like Scikit-learn, Keras, Pytorch, TensorFlow, and OpenCV, as well as model architectures for object detection and segmentation.
• Quick learner, structured work approach, and willingness to work independently and in a team.

Additional Information:

We Offer:

• Comprehensive onboarding with a preparatory internship and mentorship.
• A supportive corporate and departmental culture.
• Option for mobile office work upon agreement.
• Company and sports events (e.g., internal soccer cup, company Christmas market, company run).
• Health management program "Fit Foxes" (e.g., sports courses, fitness studio subsidies, company physiotherapy).

Interested?

Apply exclusively online via the application button!

For more information, please contact:

Frau Alisa Bönisch | HR Department | T: +49 2354 73 – 5482