ZEISS Microscopy - Innovation down to the smallest detail
ZEISS Research Microscopy Solutions is a world leader in the manufacture of microscopy systems for the visualization of the tiniest structures and particles in the fields of research and science. Our light, electron and X-ray microscopes as well as software solutions that utilize AI technology enable groundbreaking discoveries in life science, materials and industrial research as well as for education and clinical practice. Renowned scientists rely on ZEISS microscopes for their research, including Robert Koch, who discovered the tuberculosis pathogen around 1900.
Become part of our team and shape the microscopy systems of tomorrow!
With us, you have the opportunity to perfectly combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally.
Be part of the ZEISS Solutions Lab team to develop customized automation solutions for light microscopy
Create fully automated workflows from image acquisition to image analysis
Collaborate with data scientists to implement hardware automation and computer vision pipelines
Control microscopes and preprocess images for object detection and segmentation
Conduct statistical analyses on the acquired image data
Enhance knowledge in deep learning models and image processing algorithms
Deepen expertise in advanced software engineering topics
Opportunity to develop solutions for quality labs in the pharma, manufacturing, and electronics industries
Taken classes in the fields of computer science, mathematics, physics or any other STEM subject with advanced programming skills
Successfully completed at least 2 years of study
Strong proficiency with Python and the scientific ecosystem (e.g. numpy, matplotlib, pandas)
Fluent English or German
Deep curiosity and willingness to dive into new subject areas
Ability to work in an independent, goal- and output-oriented manner
Good communication skills in order to work with our customers
Fun working in agile, interdisciplinary teams
The following will be considered an advantage: Familiarity with computer vision packages for Python, such as scikit-image; First experience with light microscopes; First experience with machine learning
Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, certificates, etc.).
Your ZEISS Recruiting Team:
Ines Kloda, Verena Hald
