Computer Vision Researcher
vor 6 Stunden
About the Role
We are seeking a talented student to join our team at ZEISS Group, where you will work on cutting-edge research topics in 3D computer vision and robotics. Your primary focus will be on high-precision object tracking, involving subtasks such as pose estimation, semantic segmentation, and more. You will leverage both geometric and deep-learning methods from computer vision to develop innovative solutions.
Your Responsibilities
- Familiarize yourself with the latest advancements in pose estimation and tracking applications.
- Design and develop the hardware experimental setup based on the project's use-case.
- Implement prototype solutions using methods from geometric and/or deep learning in computer vision.
- Validate the results with test measurements and evaluate the technical feasibility.
- Document the experimental outcomes and test results.
About You
- You have a strong background in STEM fields, such as computer science, robotics engineering, or electrical engineering.
- You are currently enrolled in a master's degree program at a top university.
- You have prior experience with programming languages like C++ or Python.
- You possess a good theoretical background in linear algebra, optimization, and computer vision methodologies.
- Experience with CAD modeling software for 3D printing prototype objects is beneficial.
- Demonstrable applied experience with computer vision (OpenCV, PCL, Open3D) and deep learning libraries (Tensorflow/Pytorch) is beneficial.
- You have a self-motivated and independent working style, with a curiosity for diving into challenging topics that push the state-of-the-art.
About ZEISS Group
As a student, you will work on an equal footing with your colleagues, gaining deep insights into a company that creates products for the world of tomorrow. You will create ideal conditions for your later career.
Contact Information
Franziska Gansloser, ZEISS Recruiting Team
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