Computer Vision and 3D Imaging Algorithm Student
Hybrid
Core
Developing state-of-the-art 3D imaging and scene reconstruction solutions using 3D Gaussian Splatting and deep-learning approaches.
Role type
Research student (Computer Vision & 3D Imaging)
Builds
3D reconstruction solutions and computer vision algorithms integrated with AI technologies
Domain
Semiconductor / Computer Vision / Deep Learning
Deliverable
production ML models
Required skills
3D reconstruction, 3D Gaussian Splatting, deep learning, Python, PyTorch, edge device optimization
Preferred skills
GPU programming (CUDA, OpenCL, Vulkan), 3D graphics, academic publication record
Technologies
PyTorch, Python, CUDA, OpenCL, Vulkan, 3D Gaussian Splatting
Responsibilities
Develop 3D imaging and scene reconstruction solutions; Analyze existing methods to identify improvements; Optimize deep learning models for edge devices
Seniority
Student (M.Sc. or Ph.D.)
