2D labels flatten a 3D world. This internship explores structured geometric annotation as a richer signal for 3D object detection, leveraging primitives, parts, and spatial relationships to train models that truly understand shape and pose. You'll design annotation schemas, experiment with state-of-the-art detection architectures, and benchmark how geometric structure boosts accuracy, generalization, and data efficiency.
Type of internship: Master internship
Duration: 12 Weeks
Required educational background: Electromechanical engineering, Electrotechnics/Electrical Engineering, Computer Science
Supervising scientist(s): For further information or for application, please contact Hamed Firouzipouyaei (< email deleted for security reasons >)
The reference code for this position is 2026-INT-169. Mention this reference code in your application.
Only for self-supporting students.
Applications should include the following information:
Incomplete applications will not be considered.
Type of internship: Master internship
Duration: 12 Weeks
Required educational background: Electromechanical engineering, Electrotechnics/Electrical Engineering, Computer Science
Supervising scientist(s): For further information or for application, please contact Hamed Firouzipouyaei (< email deleted for security reasons >)
The reference code for this position is 2026-INT-169. Mention this reference code in your application.
Only for self-supporting students.
Applications should include the following information:
- resume
- motivation
- current study
Incomplete applications will not be considered.
