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 and headquartered in Waldkirch im Breisgau near Freiburg, the company is a technology and market leader with 63 subsidiaries and affiliates as well as numerous agencies around the globe. SICK has more than 10,000 employees worldwide and generated a group revenue of EUR 1.8 billion in the 2025 fiscal year.
Job Description
Mandatory Internship / Thesis: LiDAR Generation from RGB Images

Summer Semester 2027 – fixed term of 3–6 months

 

YOUR TASKS:

  • You review and analyze state-of-the-art methods for generating LiDAR data from camera images and videos, including approaches based on deep learning, diffusion models, neural rendering and depth estimation.

  • You develop and evaluate a pipeline for generating LiDAR-like point clouds from synchronized multi-camera systems.

  • You adapt and optimize selected methods to reproduce the characteristics of a SICK LiDAR sensor.

  • You investigate the potential and limitations of existing RGB-to-LiDAR approaches for industrial applications.

  • You evaluate the generated data in terms of geometric accuracy, robustness and suitability for downstream AI applications.

  • You document and present your findings and recommendations.

The exact scope of the project will be tailored to your background and the requirements of your internship, bachelor's thesis or master's thesis.

 

YOUR PROFILE:

  • Studies in computer science, robotics, electrical engineering, mathematics or a related field

  • Interest in computer vision, 3D perception and sensor fusion

  • Good programming skills in Python

  • Basic knowledge of machine learning and deep learning

  • Experience with PyTorch or a similar framework is an advantage

  • Ability to work independently and analyze scientific literature
Information at a Glance
Apply now
Posting Start Date:  11/11/26
Requisition-ID:  38374
Posting Job Location:  Hamburg-Rahlstedt
Full-time/Part-time:  Full-time

Contact: Sarah Disch

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At SICK, we value the diverse backgrounds, experiences, and perspectives of our people. This enriches us as an organization. We are committed to fostering an inclusive workplace where everyone is treated with dignity, fairness, and respect and stand firmly against any form of discrimination.