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.
In this role you will be part of a team called ZEISS Solutions Lab.
You will build customized automation solutions for ZEISS customers that need support for special light microscopy applications.
Typically, these solutions encompass a completely automated light microscopy workflow from image acquisition to the image analysis.
Applications usually come from quality labs in the pharma, manufacturing or electronics industry, although, use cases may arise from any business area
Together with our data scientists you will implement full HW automation and computer vision pipelines ranging from microscope control to the preprocessing of images to the detecting and segmenting of objects and the final statistical analysis
You will have the possibility to improve your knowledge in many areas, such as the application of deep learning models and image processing algorithms or in advanced software engineering topics
Successfully completed at least 2 years of study in the STEM field
Taken classes in the fields of computer science, mathematics, physics or any other STEM subject with advanced programming skills
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, transcript of records).
Your ZEISS Recruiting Team:
Ines Kloda