Jobbeschreibung
Step out of your comfort zone, excel and redefine the limits of what is possible. That's just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.
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.
We seek a tech-enthusiastic student to join us in 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 and train neural networks for a computer vision problem
-
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 methods and frameworks, preferably for medical image processing
-
Proficient in one or more general purpose languages, preferably Python
-
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