Master Thesis – Core Tech Graphics: Three Different Ideas
Core
Develop AI models for 3D segmentation, visual-thermal alignment, or world models for depth estimation to enhance digital twins, body-worn camera analytics, and indoor reconstruction.
Role type
Master's thesis researcher (Computer Science/Applied Mathematics)
Builds
AI-driven 3D scene understanding and alignment systems for Axis Communications' video surveillance and analytics products.
Domain
Computer Vision, Deep Learning, 3D Reconstruction, Embedded Systems
Deliverable
research
Required skills
Python, PyTorch/TensorFlow, Computer Vision, Deep Learning, 3D Geometry, Image Processing
Preferred skills
Experience with monocular depth estimation, thermal imaging, V-JEPA or world models, semantic segmentation
Technologies
PyTorch, TensorFlow, OpenCV, V-JEPA, Digital Twin frameworks
Responsibilities
Develop and evaluate AI models for scene segmentation and depth estimation; Implement feature detection for visual-thermal image alignment; Research and adapt world model architectures for video analysis; Validate results against real-world camera data.
Seniority
Master's student (Research)
