Internship 3D Computer Vision for Agricultural Robotics (f/m/x)

As a student worker, you will work side by side with your coworkers as equals in an environment which will allow you create the ideal con- ditions for your future career.

In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.

Join us today. Inspire people tomorrow.

Diversity is a part of ZEISS. We look forward to receiving your application silence of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.

Apply now! It takes less than 10 minutes. With us, you have the opportunity to perfectly combine your practical studies while participating in exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally. Key responsibilities: Research and Development: Explore, prototype, and assess novel methods for real-time 3D perception and scene in understanding greenhouseics

Software Implementation: Integrate your solutions into the robotic software system, collaborating closely with other engineers and researchers

Performance Evaluation: Benchmark and optimize your algorithms for efficiency and robustness in real-world scenarios

Collaboration: Meet regularly with fellow team members and potential users (f/m/x) to understand practical challenges and requirements in agricultural environments

close to starting a master's thesis in computer science, electrical engineering, robotics, or a related field

strong interest in computer vision, machine learning, and robotics

solid programming skills in Python and/or C++; experience with ROS or real-time systems is an advantage

familiarity with 3D sensors or industrial camera systems is a plus

excellent problem-solving abilities and a proactive, hands-on approach

ability to work well in an interdisciplinary, international team

good command of English; English skills are an asset but not required

Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records, etc.). JOBV1_EN