- Quantification of human motion using optical motion capture technologies
- Benchmarking of hard- and software, especially neural networks
- Kinematic animation of human models in a virtualized industrial environment
- Visualization of kinematic animation with methods of augmented reality
- Working autonomously on a sub area
- Working in an augmented reality and robotics lab
- Embedded in a cross functional team of experienced developers
- Studies in computer science, robotics, mechatronics or comparable course of study
- Successful completion of relevant study projects or work in the lab is of advantage
- Knowledge of C++ and Python
- Confident use of Unity and OpenCV
- Knowledge in the fields of computer vision and artificial intelligence as well as neural networks
- Knowledge of JavaScript and node-red, IIoT protocols like MQTT, ROS/ROS2 and Inverse Kinematics as well as Vuforia is of advantage
- Independent and structured way of working
- Teamworking and communication skills
- We are looking forward to your online application
- Sarah Disch
- Job-ID 32811
- All applications will be treated confidentially
- At SICK, we see people, not gender.
Company
Location
Waldkirch - Germany
Job type
Full-Time
Python Job Details
You have a vision of the digital future, and we have a passion for intelligent sensor concepts. Together, we can be a driving force in shaping Industry 4.0 across the globe. Your career: Challenging, varied and with excellent opportunities for personal development. Your work environment: Highly professional, international and inspiring. Your new employer: A market leader at the forefront of technology and with a global workforce of more than 11,000. The address for your future: sick.com/career
Masterthesis: Realtime virtualization of optical human motion capture*
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