Jobbeschreibung
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 regardless 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 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.
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Be part of the ZEISS Solutions Lab team to develop customized automation solutions for light microscopy
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Create fully automated workflows from image acquisition to image analysis
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Collaborate with data scientists to implement hardware automation and computer vision pipelines
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Control microscopes and preprocess images for object detection and segmentation
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Conduct statistical analyses on the acquired image data
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Enhance knowledge in deep learning models and image processing algorithms
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Deepen expertise in advanced software engineering topics
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Opportunity to develop solutions for quality labs in the pharma, manufacturing, and electronics industries
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Taken classes in the fields of computer science, mathematics, physics or any other STEM subject with advanced programming skills
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Successfully completed at least 2 years of study
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Strong proficiency with Python and the scientific ecosystem (e.g. numpy, matplotlib, pandas)
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Fluent English or German
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Deep curiosity and willingness to dive into new subject areas
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Ability to work in an independent, goal- and output-oriented manner
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Good communication skills in order to work with our customers
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Fun working in agile, interdisciplinary teams
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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