Summer Semester 2027 – fixed term of 3–6 months

YOUR TASKS:

• Develop and test methods for generating synthetic image and 3D data for AI and perception systems.
• Create and modify virtual scenes and use simulation environments to generate data automatically.
• Investigate how factors such as surface properties, material characteristics and physical effects influence the realism of synthetic data.
• Implement Python-based tools for generating, processing and evaluating datasets.
• Compare synthetic data with real-world data, assess the differences and identify potential improvements.
• Document your methods and results and discuss your findings with the team.'

The specific tasks and scope of the project will be tailored to your existing knowledge and the requirements of your mandatory internship or thesis.

YOUR PROFILE:

• Degree studies in computer science, robotics, physics, mathematics, electrical engineering or a comparable field
• Good programming skills in Python
• Interest in synthetic data, simulation and computer-based perception
• Initial knowledge of at least one of the following fields: computer vision, computer graphics, 3D data processing or physical modelling
• Experience with simulation or rendering tools, such as NVIDIA Omniverse or Isaac Sim, is an advantage
• Knowledge of working with image data or point clouds is desirable
• Independent, structured and analytical working style, combined with the ability to work well in a team