Carl Zeiss Meditec AG
Research Internship on Medical Robotics, Augmented Reality and Computer Vision(m/w/x)
Full-timeInternshipOn-site
Oberkochen
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CACarl Zeiss AG
Internship/ Master Thesis on developing tracking methods for deformable objects(m/w/x)
Oberkochen
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Designing hardware experimental setups, implementing geometric/deep learning prototypes for pose estimation at optics and medical technology group. Applied computer vision and deep learning library experience essential. Project-based work.
Requirements
- Background in computer science, robotics engineering, or electrical engineering
- Strong experience with programming in Python
- Good theoretical background in linear algebra, optimization, and computer vision methodologies
- Demonstrable applied experience with computer vision and deep learning libraries
- Self-motivated and independent working style
Tasks
- Familiarize yourself with state-of-the-art pose estimation and tracking applications
- Develop the hardware experimental setup based on the use case
- Implement prototype solutions using geometric and/or deep learning methods
- Validate results with test measurements
- Evaluate technical feasibility
- Document experimental outcomes and test results
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
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/ Master Thesis on developing tracking methods for deformable objects(m/w/x)
Oberkochen
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Designing hardware experimental setups, implementing geometric/deep learning prototypes for pose estimation at optics and medical technology group. Applied computer vision and deep learning library experience essential. Project-based work.
Requirements
- Background in computer science, robotics engineering, or electrical engineering
- Strong experience with programming in Python
- Good theoretical background in linear algebra, optimization, and computer vision methodologies
- Demonstrable applied experience with computer vision and deep learning libraries
- Self-motivated and independent working style
Tasks
- Familiarize yourself with state-of-the-art pose estimation and tracking applications
- Develop the hardware experimental setup based on the use case
- Implement prototype solutions using geometric and/or deep learning methods
- Validate results with test measurements
- Evaluate technical feasibility
- Document experimental outcomes and test results
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
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.
About the Company
Carl Zeiss AG
Industry
Engineering
Description
Das Unternehmen vereint Innovation und Verantwortung und trägt entscheidend zur strategischen Ausrichtung und zum nachhaltigen Erfolg der ZEISS Gruppe bei.
Not a perfect match?
- Carl Zeiss Meditec AG
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