Intern AI Innovation for Medical Devices (f/m/x)
ZEISS sucht: Intern AI Innovation for Medical Devices (f/m/x) in Oberkochen (bei Ulm). Die Stelle ist als Vollzeit ausgeschrieben. veröffentlicht am 22.09.2026.
- Arbeitgeber
- ZEISS
- Ort
- Oberkochen (bei Ulm)
- Beschäftigungsart
- Vollzeit
- Veröffentlicht
- 22.09.2026
Aufgaben und Anforderungen: Intern AI Innovation for Medical Devices (f/m/x) bei ZEISS
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 regardless 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.
Aufgaben
We seek a tech-enthusiastic student to join the AI & Digital Twin group of Advanced Development at ZEISS Meditec to help us shaping 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 visualisations
- 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
Profil
- 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, preferably 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
Wir bieten WEFS1_DE
Herkunft dieser Stellenanzeige
Diese Stellenanzeige wurde von stepstone übernommen und erscheint auf ERP-Jobs.org. Die ursprüngliche Ausschreibung steht unter https://www.stepstone.de/stellenangebote----20260922---14529296-inline.html.