Master Thesis: World Models for Physical AI in Robotics

AIT Austrian Institute of Technology; Wien; Hybrid; EUR 10.000 - 12.000; Vollzeit

Benefits dieser Stelle

Hybrid work

Mentorship

Publication potential

Flexible start

Zusammenfassung

The AIT Austrian Institute of Technology invites applications for an exciting master thesis in the Center for Vision, Automation & Control, Vienna. You will investigate how world models can be applied to field robotics using real-world LiDAR, image, and sensor data to enable efficient, AI-driven perception and control for large-scale machinery.

You will develop and compare encoder strategies for LiDAR and camera data and assess learning objectives; the project emphasizes on-device feasibility

Qualifikationen

• Ongoing master’s studies in AI, computer science, robotics, or a related field.
• Strong programming skills in Python and PyTorch.
• Experience with 3D data or point cloud processing is a plus.

Aufgaben

• Explore world models for physical AI with real-world LiDAR, image, and sensor data.
• Design efficient world model architectures for on-device AI in industrial settings.
• Implement encoders for LiDAR and image data (voxel, point-based, BEV, or tokenized).
• Evaluate predictive quality and robustness under challenging conditions.

Kenntnisse

Python

PyTorch

3D data

Point cloud

Computer vision

Deep learning

English

Ausbildung

Master’s studies in AI/CS/Robotics

Tools

Git

Jobbeschreibung

The AIT Austrian Institute of Technology invites applications for an exciting master thesis in the Center for Vision, Automation & Control, Vienna. You will investigate how world models can be applied to field robotics using real-world LiDAR, image, and sensor data to enable efficient, AI-driven perception and control for large-scale machinery.

You will develop and compare encoder strategies for LiDAR and camera data and assess learning objectives; the project emphasizes on-device feasibility