Carl Zeiss AG
Internship or Working Student in 3D Computer Graphics(m/w/x)
Full-timeInternshipWith Homeoffice
Oberkochen
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CACarl Zeiss AG
Internship or Working Student in 3D Computer Vision(m/w/x)
Oberkochen
Full-timeInternshipWith Home Office
Nejo AI Summary
Building synthetic data pipelines and object classification models for high-precision metrology systems. Enrollment in Computer Science or Mechanical Engineering with strong coding skills required. Mentorship by PhD-level experts and Master thesis option.
Requirements
- Interest in technology and motivation
- Enrollment in Computer Science, Mechanical Engineering, or similar
- Strong computer science background and coding skills
- Experience in relevant technical topics
- Willingness to collaborate in teams
- Good communication skills in English and/or German
- Willingness to learn with initiative and creativity
Tasks
- Research 3D computer vision for next-generation metrology
- Develop object classification models
- Implement transfer learning techniques
- Build synthetic data pipelines
- Measure dimensional accuracy
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
- C++
Benefits
Job Security
- Continued employment up to 2 years
Learning & Development
- Learn cutting edge 3D methods
Mentorship & Coaching
- Mentorship by PhD-level experts
Other Benefits
- Master thesis option
- Career options
Modern Office
- Modern working environment
Flexible Working
- Hybrid work
- Remote workdays
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Carl Zeiss AG 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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CACarl Zeiss AG
Internship or Working Student in 3D Computer Vision(m/w/x)
Oberkochen
Full-timeInternshipWith Home Office
Nejo AI Summary
Building synthetic data pipelines and object classification models for high-precision metrology systems. Enrollment in Computer Science or Mechanical Engineering with strong coding skills required. Mentorship by PhD-level experts and Master thesis option.
Requirements
- Interest in technology and motivation
- Enrollment in Computer Science, Mechanical Engineering, or similar
- Strong computer science background and coding skills
- Experience in relevant technical topics
- Willingness to collaborate in teams
- Good communication skills in English and/or German
- Willingness to learn with initiative and creativity
Tasks
- Research 3D computer vision for next-generation metrology
- Develop object classification models
- Implement transfer learning techniques
- Build synthetic data pipelines
- Measure dimensional accuracy
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
- C++
Benefits
Job Security
- Continued employment up to 2 years
Learning & Development
- Learn cutting edge 3D methods
Mentorship & Coaching
- Mentorship by PhD-level experts
Other Benefits
- Master thesis option
- Career options
Modern Office
- Modern working environment
Flexible Working
- Hybrid work
- Remote workdays
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Carl Zeiss AG 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Carl Zeiss AG
Industry
Science
Description
Das Unternehmen vereint Innovation und Verantwortung und trägt entscheidend zur strategischen Ausrichtung und zum nachhaltigen Erfolg der ZEISS Gruppe bei.
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