Internship in Robot-Assisted Optical Manufacturing

ZEISS; Oberkochen; On-site; EUR 8,900 - 16,000; Part time

Job summary

ZEISS offers an opportunity to combine studies with hands-on experience in exciting projects related to microchip manufacturing. You will work on laboratory robot experiments, collect and analyze data, and apply data analytics and ML techniques to identify key factors affecting processes.

You will explore correlations between parameters and outcomes, and help derive optimization strategies for robot-assisted optical manufacturing.

Qualifications

• University studies in mechatronics, automation engineering, mechanical engineering, computer science, data science, or a related field.
• Interest in robotics, manufacturing processes, and metrology.
• Basic knowledge of data analysis and statistics.
• Experience with Python, MATLAB, or comparable tools.

Responsibilities

• Planning, conducting, and evaluating experiments on laboratory robots
• Capturing and analyzing machine, process, and sensor data
• Applying methods from data analytics and machine learning to identify relevant influencing factors
• Investigating correlations between process parameters and machining outcomes
• Deriving optimization potentials for robot-assisted optical manufacturing technology
• Conceptualizing and evaluating data-driven control strategies

Skills

Data analysis

Statistics

Python

MATLAB

Robotics interest

Education

University studies in mechatronics, automation engineering, mechanical engineering, computer science, data science, or a related field

Tools

Python

MATLAB

Job description

Enabler for smaller, more powerful, and more energy-efficient microchips Working for tomorrow today. Around 80 percent of all microchips worldwide are produced using ZEISS technologies. As the centerpiece of every electronically controlled system, they have become an integral part of our everyday lives – whether in smartphones, smart homes or smart factories. ZEISS is a technology leader in the field of semiconductor manufacturing equipment. With high-precision lithography optics, photomask systems and process control solutions, ZEISS enables the production of ever smaller, increasingly powerful, and more energy-efficient microchips, and thus plays a pivotal role in the age of micro- and nanoelectronics.

Your Role

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.

• Planning, conducting, and evaluating experiments on laboratory robots
• Capturing and analyzing machine, process, and sensor data
• Applying methods from data analytics and machine learning to identify relevant influencing factors
• Investigating correlations between process parameters and machining outcomes
• Deriving optimization potentials for robot-assisted optical manufacturing technology
• Conceptualizing and evaluating data-driven control strategies

Your Profile

• University studies in mechatronics, automation engineering, mechanical engineering, computer science, data science, or a related field
• Interest in robotics, manufacturing processes, and metrology
• Basic knowledge of data analysis and statistics
• Experience with Python, MATLAB, or comparable tools
• Independent, structured, and analytical way of working
• Enjoyment of experimental work and handling of technical equipment