Intern Automation and Computer Vision in Microscopy (f/m/x)

As a student worker, you will work side by side with your coworkers as equals in an environment which will allow you create the ideal con- ditions for your future career.

In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.

Join us today. Inspire people tomorrow.

Diversity is a part of ZEISS. We look forward to receiving your application silence of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.

Apply now! It takes less than 10 minutes. With us, you have the opportunity to perfectly combine your practical studies while participating in 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 pipeline

Control microscopes and preprocess images for object detection and segmentation

Conduct statistical analyses on the acquired image

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)

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, search as scikit-image; First experience with light microscopes First experience with machine learning

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