SICK is one of the world’s leading solutions providers for sensor-based applications in the industrial sector. Founded in 1946 by Dr.-Ing. e. h. Erwin Sick, the company with headquarters in Waldkirch im Breisgau near Freiburg ranks among the technological market leaders. With 63 subsidiaries and equity investments as well as numerous agencies, SICK maintains a presence around the globe. SICK has more than 10,000 employees worldwide and generated a group revenue of EUR 2.1 billion in the 2024 fiscal year.
Job Description
Thesis: Evaluation of AI-supported object recognition for a safety-oriented 3D camera

Winter Semester 2025/26 - limited to 5-6 months

 

YOUR TASKS:

  • Research existing AI algorithms for image-based object detection and classification.
  • Analyze and evaluate these algorithms for their suitability with a high-resolution 3D-ToF camera.
  • Select an appropriate external target hardware for algorithmic image processing.
  • Define requirements and establish key criteria for system integration.
  • Develop a prototype for 3D-supported object recognition and integrate it into the target hardware.
  • Test functionality in the lab environment based on defined key parameters.


YOUR PROFILE:

  • Studies in computer science, electrical engineering, physics, mechanical engineering, or a similar technical field.
  • Basic knowledge in developing and applying AI algorithms, ideally in image-based object detection.
  • Experience in programming with Python, C++, or a comparable language.
  • Interest in 3D image processing technologies and ToF cameras.
  • Independent, structured working style and analytical thinking skills.
Information at a Glance
Apply now
Requisition-ID:  36891
Posting Job Location:  Waldkirch (bei Freiburg)
Full-time/Part-time:  Full-time

Contact: Sarah Disch

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At SICK, we see people, not gender. 
We put great emphasis on diversity, reject discrimination and do not think in categories such as gender, ethnicity, religion, disability, age or sexual identity.