Jobbeschreibung
Step out of your comfort zone, excel and redefine the limits of what is possible. That's just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.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.
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In this role you will be part of a team called ZEISS Solutions Lab
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You will build customized automation solutions for ZEISS customers that need support for special light microscopy applications
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Typically, these solutions encompass a completely automated LM workflow from image acquisition to the image analysis
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Applications usually come from quality labs in the pharma, manufacturing or electronics industry, although, use cases may arise from any business area
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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
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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
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Strong proficiency with Python and the scientific ecosystem (e.g. numpy, matplotlib, pandas)
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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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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 sciki-image
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First experience with light microscopes
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First experience with machine learning