Offer summary

Qualifications:

Currently enrolled in a Master’s program in Computer Science, Mathematics, Physics, Engineering, or related fields., Interest in technology and motivation to solve challenging problems., Knowledge of computational assistance methods, especially in machine learning, deep learning, and computer vision., Proficiency in Python programming and experience with frameworks like PyTorch..

Key responsibilities:

Develop and apply computational methods to medical datasets.

Perform statistical analyses on multimodal medical data.

Create, implement, and evaluate computational assistance approaches.

Collaborate with the team to share findings and insights.

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.

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 next-generation 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 cutting-edge computational methods, perform in-depth statistical analyses on multimodal medical datasets, and create, implement, and evaluate computational assistance approaches on real-world data.

But 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.

Join us at ZEISS and be part of the team that's pushing the boundaries of medical technology.

What We Offer

An opportunity to build the foundation for next-generation products
The chance to learn and apply cutting-edge machine learning methods
Mentorship from experienced top-level experts
The option to write a master’s thesis following an internship or working student position
A modern work environment with a mix of remote and on-site days
The opportunity to join a growing company with numerous career options

Your profile

Currently enrolled in a Master’s degree program of Computer Science, Mathematics, Physics, Engineering, or a related field
You are interested in technology and motivated to tackle challenging tasks
Understanding of computational assistance methods, preferably in the fields of machine learning, deep learning, and computer vision
Hands-on 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 self-organized manner
Willingness to collaborate and work in complementary teams
Good communication skills in English and/or German

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

Your ZEISS Recruiting Team:

Ines Kloda, Verena Hald

Required profile