Research Assistant EUV Layer Metrology (m/f/x)

Trust something new, grow beyond itself and redefine the boundaries of the feasible. That is exactly what our employees can and should live daily. To set the pace with our innovations and make it great. Because there are a lot of fascinating people behind every successful company. ZEISS employees work in an open and modern environment with numerous development and further training opportunities. Our culture is characterized by expert knowledge and team spirit. All this is supported by the special ownership structure and the long-term goal of the Carl-Zeiss Foundation: to advance science and society together.

Today dare. Inspire tomorrow.

Diversity is part of ZEISS. We look forward to your application regardless of gender, nationality, ethnic and social origin, religion, world view, disability, age as well as sexual orientation and identity.

Apply now! In less than 10 minutes.

Enabler for smaller, more powerful and more energy-efficient microchips.

Work where the morning arises.

What can't be missing from a smartphone? Exactly, the microchip – the heart of any electronically controlled system. About 80 percent of all microchips worldwide are manufactured using ZEISS technologies. ZEISS is a technology leader in semiconductor manufacturing equipment. With high-precision lithography optics, photomask systems and solutions for process control, ZEISS enables the production of increasingly smaller, more powerful and more energy-efficient microchips – and thus decisively shapes the age of microelectronics and nanoelectronics with its innovations.

In the team, they develop highly accurate measurement technology for characterizing optical coatings for semiconductor lithography

by testing and reliable data analysis, you optimize measuring machines and contribute to the industrialization of the processes

They increase productivity through process optimization and automation

as a specialist for measuring accuracy and calibration, they optimize processes and automatic processes and thus enable improvements and productivity increases

You have a very well completed degree or master's degree to the physicist, chemist, engineer (university) or comparable, preferably with doctorate

They have well-founded knowledge of optical measurement technology under vacuum, preferably in the field of X-ray spectroscopy

You have experience in data analysis, machine learning and the detection of data patterns to optimize machines

They have very good programming knowledge (preferably MATLAB or Python)

It distinguishes a pronounced communication and team capability, as well as a structured working method

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