Bachelor-/ Master Thesis: »Tool Wear meets Federated Learning«

The Fraunhofer-Gesellschaft is seeking a Bachelor- or Master student to work on a thesis project titled »Tool Wear meets Federated Learning«. The project involves investigating federated learning for decentralized AI model training for tool wear detection and measurement in milling processes.

Requirements

• Analyzing acquired microscopic and video tool wear data
• Investigating image processing techniques
• Developing pre-processing, AI-training and local and global evaluation pipelines
• Evaluating centralized, individual, and federated learning scenarios for tool wear detection and measurement

Benefits

• Ideal conditions for practical experience alongside studies
• Professional supervision and collaboration in a dedicated team
• State-of-the-art machine park equipped with edge cloud systems and 5G infrastructure
• Flexible working to combine study and job in the best possible way