Computer Vision and 3D Imaging Algorithm Student

Description

Samsung R&D Center is looking for Computer Vision and 3D Imaging Algorithm Student to join our team.

Samsung (SIRC), shaping the world of tomorrow, Today. Focusing beyond the horizon and pushing exciting developments in many key areas of technology. Samsung is creating a new era of continuous innovation, bringing value and contribution to society and creating a workplace where our employees can enjoy making the most of their talent, creativity and passion. 

The team:

As part of the Samsung Semiconductor business, our team focuses on creating cutting-edge computer vision algorithms and products that push the boundaries of what's possible.

We're responsible for designing and productizing innovative solutions in computer vision integrated with AI technologies, which have a direct impact on real-world products used by millions worldwide. This position sits within our AI computer vision algorithms group, where research directly feeds product.

What will you be doing?

As a research student on our team, you'll play a key role in advancing 3D reconstruction and computer vision technologies. Your responsibilities will include:

• Contributing to the development of state-of-the-art 3D imaging and scene reconstruction solutions, with a focus on 3D Gaussian Splatting and deep-learning approaches.
• Conducting research on existing methods, analyzing their strengths and weaknesses, and identifying areas for improvement.
• Optimizing deep learning models for efficient execution on edge devices, working closely with hardware and software teams to ensure successful integration.

Requirements

• M.Sc. or Ph.D. student in Electrical Engineering, Computer Science, or an equivalent field, with at least a year and a half until graduation.
• GPA of 85 or higher.
• Industry experience or academic research in computer vision and deep learning.
• Experience in Python and PyTorch.
• Ability to rapidly learn new technologies and concepts.
• Excellent self-learning capabilities and team collaboration skills.
• Availability of at least 3 on-site working days per week (schedule flexible during exam periods).

Advantages

• Proven publication record in relevant venues.
• Experience with 3D reconstruction and/or 3D graphics.
• Familiarity with GPU programming via CUDA, OpenCL, or Vulkan.