ZEISS | Germany | 73xxx Oberkochen (bei Ulm) | Practical training | Full time | Published since: 22.09.2026 on stepstone.de
In-House AI Innovation for Medical Devices (f/m/x)
As a student worker, you will work side by side with your coworkers as equals in an environment which will allow you create the ideal con- ditions for your future career.
In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
Join us today. Inspire people tomorrow.
Diversity is a part of ZEISS. We look forward to receiving your application silence of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.
Apply now! It takes less than 10 minutes. .
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Your tasks • Your profile • What we offer
As a student worker, you will work side by side with your coworkers as equals in an environment which will allow you create the ideal con- ditions for your future career.
In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
Join us today. Inspire people tomorrow.
Diversity is a part of ZEISS. We look forward to receiving your application silence of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.
Apply now! It takes less than 10 minutes.
We seek a tech-enthusiastic student to join the AI & Digital Twin group of Advanced Development at ZEISS Meditec to help us shape proof-of-principle demonstrators for next-gen healthcare product features. As member of our team, you will leverage your AI, digital twin & computer vision skills and passion to tackle open real-world challenges. During your internship, you will: Work on potential AI and/or digital twin features for future medical devices Design solutions for computer vision problems towards advanced biomedical visualizations Evaluate and refine your approach on real-world data Build proof-of-principle demonstrators & test your solution with product management and our clinical partners Work closely in an interdisciplinary team of AI & Digital Twin experts and application experts Participate in lively student community at ZEISS
Enrolled in a bachelor/ master program in computer science, electrical engineering, computer engineering, biomedical engineering or similar Prior experience with AI/ML or computer vision methods and frameworks, preference for medical image processing Proficient in one or more general purpose coding languages, preferably Python Familiarity with optimization, scientific visualization libraries and graphic user interfaces is a plus Thrilled to translate your technology skills and curiosity into algorithms and proof of principle demonstrators to solve real surgical needs Creative, innovative, motivated and well-organized A good communicator, both in German and English
Location
![]() | ZEISS | |
| 73447 Oberkochen (bei Ulm) | ||
| Germany |
The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.
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