Internship in Robot-Assisted Optical Manufacturing (f/m/x)

ZEISS; Oberkochen; On-site; EUR 55,000 - 75,000; Full time

Job summary

ZEISS in Germany seeks a data and robotics oriented engineer to plan, conduct, and evaluate experiments on laboratory robots, capturing and analyzing machine, process, and sensor data. You will apply methods from data analytics and machine learning to identify influencing factors and optimize robotic processes.

You will investigate correlations between process parameters and machining outcomes, derive optimization potentials for robot-assisted optical manufacturing, and contribute to data-driven

Qualifications

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

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

Analytical thinking

Robotics interest

Education

University degree in mechatronics, automation engineering, mechanical engineering, computer science, data science, or 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

• 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

Your ZEISS Recruiting Team: Verena Hald