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Internship - AI for Medical Image Processing(m/w/x)
Developing ML algorithms for surgical imaging devices, integrating multiple optical modalities from concept to production. Advanced Python, C/C++/CUDA, and deep learning frameworks experience required. Direct contribution to production-ready medical imaging solutions.
Requirements
- Bachelor’s degree and enrollment in a master’s program in mechanical, electrical, or another engineering discipline, computer science, physics, mathematics with a focus on machine learning
- Advanced programming experience in Python, prior experience in C/C++ or CUDA
- Hands-on experience with deep learning frameworks like PyTorch or TensorFlow
- Domain knowledge in medical imaging, preferably OCT and video-based imaging
- Experience in software engineering and development with Microsoft Azure
- Experience with NVIDIA Isaac Sim and COSMOS for deployment of AI-models in simulation
- Excellent organization, problem-solving and communication skills
- Passion for innovation and enthusiasm for new technologies, motivation to work in agile, interdisciplinary teams
Tasks
- Develop machine learning algorithms for surgical imaging devices
- Integrate multiple optical imaging modalities
- Work from concept phase to production-ready solutions
- Analyze and test core functionalities for multi-modal data
- Research existing solutions in scientific and patent literature
- Tailor solutions to meet project needs
- Conduct experiments on simulated and real-world data sets
- Evaluate experimental results
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- C/C++
- CUDA
- PyTorch
- TensorFlow
- Microsoft Azure
- NVIDIA Isaac Sim
- COSMOS
Not a perfect match?
- Carl Zeiss AGFull-timeInternshipOn-siteKarlsruhe
- Carl Zeiss AG
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Internship - AI for Medical Image Processing(m/w/x)
Developing ML algorithms for surgical imaging devices, integrating multiple optical modalities from concept to production. Advanced Python, C/C++/CUDA, and deep learning frameworks experience required. Direct contribution to production-ready medical imaging solutions.
Requirements
- Bachelor’s degree and enrollment in a master’s program in mechanical, electrical, or another engineering discipline, computer science, physics, mathematics with a focus on machine learning
- Advanced programming experience in Python, prior experience in C/C++ or CUDA
- Hands-on experience with deep learning frameworks like PyTorch or TensorFlow
- Domain knowledge in medical imaging, preferably OCT and video-based imaging
- Experience in software engineering and development with Microsoft Azure
- Experience with NVIDIA Isaac Sim and COSMOS for deployment of AI-models in simulation
- Excellent organization, problem-solving and communication skills
- Passion for innovation and enthusiasm for new technologies, motivation to work in agile, interdisciplinary teams
Tasks
- Develop machine learning algorithms for surgical imaging devices
- Integrate multiple optical imaging modalities
- Work from concept phase to production-ready solutions
- Analyze and test core functionalities for multi-modal data
- Research existing solutions in scientific and patent literature
- Tailor solutions to meet project needs
- Conduct experiments on simulated and real-world data sets
- Evaluate experimental results
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- C/C++
- CUDA
- PyTorch
- TensorFlow
- Microsoft Azure
- NVIDIA Isaac Sim
- COSMOS
About the Company
Carl Zeiss AG
Industry
Healthcare
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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- Carl Zeiss AG
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