Job Description
Step out of your comfort zone, excel and redefine the limits of what is possible. That's just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.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 regardless 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.
We are in search of a motivated, inquisitive, and results-oriented individual to contribute to our machine learning 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.
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Optimize state-of-the-art ML algorithms to create a time-efficient and robust instance segmentation model for crop detection
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Engage with 3D imaging team for data acquisition & the development of a 3D camera vision system
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Fuse results from instance segmentation model and depth sensing to promote scene understanding and facilitate robotic interaction using 3D reconstructed plant models
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Support overall R&D activities, discuss & challenge new ideas
We offer:
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Interaction with a dynamic team, at the interface between machine learning & robotic experts
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Gain hands-on experience in 3D imaging in a challenging, real-world environment
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Experience the confluence of science and business
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Option for subsequent master thesis
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You are enrolled in a Master's program in Machine Learning, Image Processing, Physics, Mathematics or comparable subject and have excellent results
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Knowledge in the field of camera vision systems and/or robotics is a plus
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Excellent organization, problem-solving, communication (English and/or German) and innovation skills
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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.
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