Internship – Optimization of robot arm motion planning for greenhouse labor automation (f/m/x)
Eggenstein-Leopoldshafen, Germany
ZEISS Group
ZEISS is an international leading technology enterprise operating in the optics and optoelectronics industries.We are in search of a motivated, inquisitive, and results-oriented individual to contribute to our robotics activities within our newly formed AgTech department. ZEISS started a large strategic initiative to leverage our capabilities to bring labor automation solutions to high-end greenhouses, with an initial focus on robotics. Therefore, we established a dedicated team to drive this effort with a start-up like mindset within ZEISS.
We offerInteraction with a dynamic team, at the interface between robotics, camera vision & machine learning
Gain hands-on experience in robotics with state-of-the-art prototypes tested under real-world conditions
Experience the confluence of science and business
Option for subsequent master thesis
Integrate and evaluate robotic prototypes in both simulation and real-world environments, ensuring seamless functionality and performance
Develop and implement strategies for robotic arm manipulation
Evaluate and upgrade the prototypes following test campaigns in greenhouses under varying conditions
Support overall R&D activities, discuss & challenge new ideas
You are enrolled in a Master’s program in Robotics, Mechatronics or comparable subject and have excellent results
Ideally, you have prior experience with the Robot Operating System (ROS). You possess strong knowledge in C++ and/or Python
First experience with NVIDIA Isaac is a plus
Excellent organization, problem-solving, communication (English and/or German) and innovation skills
Passion for innovation and enthusiasm for new technologies as well as motivation to work in agile, interdisciplinary team
At ZEISS, we value innovation, collaboration, and a passion for driving change. If you are ready to take on this exciting role and contribute to the future of labor automation solutions, we look forward to receiving your application. We kindly request that you attach a current version of your transcript of records to your application.
Your ZEISS Recruiting Team:
Franziska GansloserTags: Agile Confluence Machine Learning Python R R&D Robotics
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