Job Description

Seeing beyond - future of medical technology

For more than 100 years, ZEISS medical technology has been driving progress in ophthalmology and microsurgery. In ophthalmology, our solutions help to maintain and improve people's vision at every stage of their lives. In microsurgery, our solutions enable targeted interventions on diseased tissue so that small and sensitive organs continue to function optimally. Medical technology from ZEISS supports medical professionals in improving the lives of patients worldwide. The fact that our actions have a direct impact on people's well-being is what drives us every day.

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 next-generation products and drive meaningful innovation in medical applications.

Your role

• Your role will be at the forefront of tackling complex challenges in the field of ophthalmology

• You will develop and apply cutting-edge computational methods, generate simulated sensory data at the device level, conduct in-depth statistical analyses on these data, and design, implement, and evaluate computational assistance approaches that operate seamlessly in real-time on our devices

• Your contribution won't 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

Your Profile

• Currently enrolled in a Master’s degree program in Computer Science, Mathematics, Physics, Engineering, or a related field

• Strong interest in technology and motivation to tackle challenging tasks

• Understanding of computational assistance methods, preferably in signal processing, machine learning, and deep learning (embedded AI)

• Experience with embedded systems and simulating sensory data in a laboratory setting

• Hands-on programming skills in Python and C/C++

• Experience with common machine learning frameworks such as PyTorch

• Strong conceptual and analytical thinking, technical understanding, and creativity for solving complex problems in a self-organized manner

• Willingness to collaborate and work in complementary teams

• Good communication skills in English and/or German

What We Offer

• An opportunity to build the foundation for next-generation products

• The chance to learn and apply cutting-edge embedded machine learning methods

• Mentorship from experienced top-level experts

• The option to write a master’s thesis following an internship

• A modern work environment with a mix of remote and on-site days

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

Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records).

Your ZEISS Recruiting Team:

Ines Kloda