FEV Europe GmbH
Mandatory Internship/Bachelor Thesis/Master Thesis Generative AI for Measurement(m/w/x)
Full-timeInternshipWith Homeoffice
Aachen
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FRFraunhofer-Gesellschaft
Bachelor-/ Master Thesis: Tool Wear meets Federated Learning(m/w/x)
Aachen
Full-timeInternshipWith Home Office
Green Job
AI/ML
Nejo AI Summary
Analyzing microscopic/video tool wear data for AI-training pipelines at a 32,000-person applied research organization. Initial Python programming and ML experience with PyTorch/scikit-learn essential. Flexible working hours, access to state-of-the-art machine park.
Requirements
- Studying production engineering or similar
- Initial programming experience in Python
- Machine Learning experience with PyTorch and scikit-learn
- High degree of initiative and independence
- Good language skills in German or English
Tasks
- Analyze microscopic and video tool wear data
- Investigate image processing techniques
- Develop pre-processing and AI-training pipelines
- Evaluate learning scenarios for tool wear detection
Education
- Currently in higher education
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- scikit-learn
Benefits
Other Benefits
- Ideal conditions for experience
Mentorship & Coaching
- Professional supervision and collaboration
Modern Equipment
- State-of-the-art machine park
Flexible Working
- Flexible working hours
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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FRFraunhofer-Gesellschaft
Bachelor-/ Master Thesis: Tool Wear meets Federated Learning(m/w/x)
Aachen
Full-timeInternshipWith Home Office
Green Job
AI/ML
Nejo AI Summary
Analyzing microscopic/video tool wear data for AI-training pipelines at a 32,000-person applied research organization. Initial Python programming and ML experience with PyTorch/scikit-learn essential. Flexible working hours, access to state-of-the-art machine park.
Requirements
- Studying production engineering or similar
- Initial programming experience in Python
- Machine Learning experience with PyTorch and scikit-learn
- High degree of initiative and independence
- Good language skills in German or English
Tasks
- Analyze microscopic and video tool wear data
- Investigate image processing techniques
- Develop pre-processing and AI-training pipelines
- Evaluate learning scenarios for tool wear detection
Education
- Currently in higher education
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- scikit-learn
Benefits
Other Benefits
- Ideal conditions for experience
Mentorship & Coaching
- Professional supervision and collaboration
Modern Equipment
- State-of-the-art machine park
Flexible Working
- Flexible working hours
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Fraunhofer-Gesellschaft
Industry
Research
Description
The Fraunhofer-Gesellschaft operates 76 institutes and research units in Germany, focusing on applied research and innovation. It employs around 32,000 people with an annual research budget of 3.4 billion euros.
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