Job Description
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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ZEISS Research Microscopy Solutions is the leading provider of light, electron, X-ray microscope systems, correlative microscopy and software solutions leveraging AI technologies. The portfolio comprises of products and services for life sciences, materials and industrial research, as well as education and clinical routine applications.
The position as Solutions Manager - Automated Microscopy and Computer Vision is part of the field of Business Software of ZEISS Research Microscopy Solutions. In this role you will build customized software 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 AI-based image analysis. The primary focus will be on the software implementation but in close connection with the hardware control and applicational background. You will work closely with our customers and help solve their challenges. Additionally, you will collaborate with partner companies from ZEISS as well as other ZEISS departments in order to provide optimal solutions to our customers. Applications usually come from quality labs in the pharma, manufacturing or electronics industry, although, use cases may arise from any business sector.
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Degree in physics, computer science, bio/material/nano science or similar
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Good organizational talent to deal with multiple projects
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Strong IT and programming affinity
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Proficiency with Python and the scientific ecosystem (e.g., numpy, matplotlib, pandas)
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Fun interacting with customers and solving their challenges
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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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Fluent English or German
The following will be considered as a plus
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Expertise in the practical usage of light microscopes
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Knowledge in either material science or electronics
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Knowledge in computer vision technologies
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Experience in machine learning / deep learning techniques