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.
Benchmark a prototype smart sensing system against high-precision external reference measurements
Design and execute robot accuracy experiments inspired by industrial robot performance standards
Analyze positioning accuracy, repeatability, trajectory-following error, and dynamic behavior
Develop Python-based tools for data acquisition, synchronization, visualization, and statistical evaluation
Support the development of inverse kinematics, trajectory generation, and robot calibration routines
Compare commanded, internally estimated, and externally measured robot positions
Prepare clear scientific plots, reports, and presentations to communicate experimental results
Your profile
You are enrolled in a master's degree in robotics, mechatronics, mechanical engineering, electrical engineering, control engineering, automation, or a related field
Strong proficiency in Python and/or C++, with demonstrable hands-on project experience
Good understanding of robot kinematics, coordinate transformations, and 3D geometry
Basic knowledge of control engineering, including PID control and motion-profile generation
Practical hands-on experience with experimental setups, sensors, actuators, or robotic systems
Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records, etc.).
Your ZEISS Recruiting Team:
Franziska Gansloser