Bosch Group
PhD - Cross-Domain Hyperspectral Anomaly Detection for Manufacturing(m/w/x)
Full-timeWith HomeofficeNot specified
Renningen
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BOBosch Group
Master Thesis Deep Learning for Multi-Channel Vision in Product Manufacturing(m/w/x)
Renningen
Full-timeInternshipWith Home Office
AI/ML
Data Science
Nejo AI Summary
Developing novel anomaly detection models for industrial vision systems, focusing on product quality assessment. Very good programming skills in Python and PyTorch/JAX required. Research focus at global technology provider.
Requirements
- Advanced studies in Computer Science, Machine Learning, Artificial Intelligence or comparable
- Excellent machine-learning fundamentals
- Very good programming skills in Python
- Very good programming skills in one deep learning framework (e.g., PyTorch or JAX)
- Structured and analytical approach to complex tasks
- High motivation to learn
- Independent work on challenging topics
- Clear and understandable communication of results
- University enrollment for thesis
Tasks
- Develop advanced anomaly detection methods for multi-channel vision systems.
- Explore cutting-edge anomaly detection approaches.
- Explore cutting-edge multi-channel image processing approaches.
- Develop a novel, generalizable model for quality assessment.
- Implement your approach.
- Train your approach using real-world production data.
- Evaluate your approach using real-world production data.
- Collaborate with research, development, and production experts.
- Regularly present your results.
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- JAX
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group 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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BOBosch Group
Master Thesis Deep Learning for Multi-Channel Vision in Product Manufacturing(m/w/x)
Renningen
Full-timeInternshipWith Home Office
AI/ML
Data Science
Nejo AI Summary
Developing novel anomaly detection models for industrial vision systems, focusing on product quality assessment. Very good programming skills in Python and PyTorch/JAX required. Research focus at global technology provider.
Requirements
- Advanced studies in Computer Science, Machine Learning, Artificial Intelligence or comparable
- Excellent machine-learning fundamentals
- Very good programming skills in Python
- Very good programming skills in one deep learning framework (e.g., PyTorch or JAX)
- Structured and analytical approach to complex tasks
- High motivation to learn
- Independent work on challenging topics
- Clear and understandable communication of results
- University enrollment for thesis
Tasks
- Develop advanced anomaly detection methods for multi-channel vision systems.
- Explore cutting-edge anomaly detection approaches.
- Explore cutting-edge multi-channel image processing approaches.
- Develop a novel, generalizable model for quality assessment.
- Implement your approach.
- Train your approach using real-world production data.
- Evaluate your approach using real-world production data.
- Collaborate with research, development, and production experts.
- Regularly present your results.
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- JAX
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group 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
Bosch Group
Industry
Manufacturing
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Not a perfect match?
- Bosch Group
PhD - Cross-Domain Hyperspectral Anomaly Detection for Manufacturing(m/w/x)
Full-timeWith HomeofficeNot specifiedRenningen - TRUMPF Werkzeugmaschinen SE + Co. KG
Praktikum Bildbasierte Feature-Extraktion im Bereich industrieller Bildverarbeitung(m/w/x)
Full-timeInternshipWith HomeofficeDitzingen - TRUMPF Laser- und Systemtechnik SE
Praktikum im Bereich Machine Learning und Computer Vision(m/w/x)
Full-timeInternshipWith HomeofficeDitzingen - Bosch Group
Master Thesis Application of Clifford Algebra - Wafer Grinding Process to Simplification of Modeling & Simulation Process(m/w/x)
Full-timeInternshipWith HomeofficeRenningen - TRUMPF Werkzeugmaschinen SE + Co. KG
Praktikum oder Masterarbeit Automatische Klassifikation und Task Assignment von Defects mit GenAI/Machine Learning(m/w/x)
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