Algorithmic Specialist for Computational Imaging
vor 1 Monat
The employees of Corporate Research & Technology work under the best possible conditions on innovative technologies and the latest application possibilities that benefit all ZEISS business areas - from the Semiconductor Division to Microscopy and Medical Technology.
You have ideas to shape the future of imaging and optical metrology?
Research at ZEISS does shape the future - We believe that algorithms and hardware belong together and by co-designing them on equal footing we add value for our customers and push the boundaries of what is possible in imaging and optical metrology. Working on projects in the interface between algorithms, optic design, and system engineering you will develop visions and prototypes for future ZEISS products. Today these include light, electron, and X-ray microscopes as well as OCT devices, industrial CT scanners, and 3D measurement systems. You will bring your algorithmic knowhow and leverage the latest algorithm and technology advancements to generate ideas on how to address tomorrow’s challenges and upcoming megatrends. And you will use your expertise in algorithm design and implementation/prototyping skill to convince decision makers to change the development roadmaps for new ZEISS products.
You have
- a university in mathematics, theoretical physics, computer science or similar - a PhD would be a plus
- expert knowledge in computational imaging, inverse problem solving, computer graphics and/or co-designing algorithms and optical setups
- proven experience in algorithm development for imaging problems with latest state-of-the-art approaches
- excellent programming skills with Python/Matlab and C#/C++
- experience in algorithm parallelization (multi-core, GPU, clusters, cloud technology) and in larger software projects (e.g. open source) is a plus
- strong communication and presentation skills
- the vision and hands-on mindset to make your ideas come to life in ZEISS products
Your ZEISS Recruiting Team:
Katharina Dandorfer
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