Spectacles Student Worker - Computer Vision Engineering

Your role in the team

Our expectations of you

Qualifications

• Solid foundation in Computer Vision such as camera models, multi-view geometry and transformations.
• Solid math background with understanding of 3D geometry, trigonometry, and linear algebra.
• Ability to understand, debug and improve existing code as well as develop new algorithms using advanced computer vision and machine learning techniques.
• Ability to collaborate with other engineers and across different teams.
• Currently enrolled in an MS or PhD program in a technical field, such as Computer Science, Electrical Engineering, or a related field.
• You must be legally permitted to work in Austria as a student.
• Proficiency in programming with Python/C++.
• PhD candidate in related fields (Computer Vision, Machine Learning, Robotics, etc.).
• Have at least one first-author publication in a top conference (CVPR, NeurIPS, ECCV, ICCV, etc.).

Experience

• Research experience with machine learning / computer vision approaches, in one or more of the following areas: Camera Calibration, Sensor Calibration and Fusion, Visual Inertial System, Hand Tracking, Object Tracking, Visual SLAM, Bundle Adjustment, Depth Estimation, 3D Scene Reconstruction, Semantic Segmentation, Motion Generation, Stable Diffusion.
• Experience with integrating Machine Learning models into Augmented Reality solutions.
• Experience with 3D engines, e.g., Lens Studio, Blender, Unity, Unreal Engine.