Intern 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 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.

Your role

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

Your profile

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