13 days ago
Thesis
Junior
#nachhaltigkeit#additiveproduktion#forschung
Bachelor-/ Master Thesis »Synthetic Data for Deep learning Models in production«
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Intro
The Fraunhofer-Gesellschaft is a leading applied research organization, and at the Fraunhofer IPT in Aachen, we focus on making production more digital, flexible, and sustainable. This thesis will explore the generation of synthetic data to enhance deep learning models for production use cases.
Tasks
- Literature research on the topics of deep learning and synthetic data
- Identification of requirements for the design of efficient pipelines for synthetic data generation in production use cases
- Development and implementation of a pipeline for synthetic data generation for a practical use case
- Experimental validation based on a practical use case in the field of computer vision (e. g., visual quality control)
- Preparation and documentation of results
Requirements
- Studying mechanical engineering, industrial engineering, computer science or a comparable subject
- First experience in Python
- Basic knowledge of the theory and methods in machine/deep learning
- Self-responsible and structured way of working
- Good language skills in German and/or English
Benefits
- Scientific work on a current and practice-relevant topic
- Professional supervision and support for your thesis
- Participation in innovative research and industry projects with industry partners
- A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure
13 days ago
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