Your role

ZEISS is seeking passionate and talented students eager to make a significant impact on the future of medical technology. As a key member of our dynamic team of innovation experts you will have the opportunity to shape nextgeneration products and drive meaningful innovation in medical applications.

Your role will be at the forefront of tackling complex challenges in the field of ophthalmology. You will develop and apply cuttingedge computational methods perform indepth statistical analyses on multimodal medical datasets and create implement and evaluate computational assistance approaches on realworld data.

But your contribution wont stop at research and development. You will also have the unique opportunity to share your findings and insights with our team fostering a collaborative environment that thrives on innovation.

Join us at ZEISS and be part of the team thats pushing the boundaries of medical technology.

What We Offer

• An opportunity to build the foundation for nextgeneration products

• The chance to learn and apply cuttingedge machine learning methods

• Mentorship from experienced toplevel experts

• The option to write a masters thesis following an internship or working student position

• A modern work environment with a mix of remote and onsite days

• The opportunity to join a growing company with numerous career options

Your Profile

• You are interested in technology and motivated to tackle challenging tasks

• Currently enrolled in a Masters degree program of Computer Science Mathematics Physics Engineering or a related field

• Understanding of computational assistance methods preferably in the fields of machine learning deep learning and computer vision

• Handson programming skills in Python

• Experience with common machine learning frameworks such as PyTorch

• Strong conceptual and analytical thinking technical understanding and creativity for solving complex problems in a selforganized manner

• Willingness to collaborate and work in complementary teams

• Good communication skills in English and/or German

Your ZEISS Recruiting Team: