Robotics and Computer Vision Intern

Company Introduction

Kodifly is a pioneering startup specializing in digital twin technology for transport infrastructure and asset management. Our flagship products, SpatialSense and SpatialTwin, utilize advanced LiDAR, cameras, and AI-driven analytics to create real-time 3D models of roads, railways, and airports. We empower clients with actionable insights to enhance safety, optimize maintenance, and improve operational efficiency. Joining Kodifly means working on cutting-edge technologies that shape the future of smart infrastructure.

Job Function

Technology Research and Development

Job Description

We are seeking a passionate Robotics and Computer Vision Intern to join our innovative team at Kodifly. As an intern, you will:

• Develop and optimize computer vision algorithms for object detection, tracking, and 3D reconstruction using LiDAR and camera data.

• Support the integration of robotics frameworks (e.g., ROS) into real-time infrastructure scanning systems.

• Conduct experiments to validate and improve system accuracy and robustness in diverse environments.

• Assist in processing large-scale point cloud datasets for digital twin applications.

• Collaborate with cross-functional teams to prototype and deploy cutting-edge solutions.

This role offers hands-on experience in cutting-edge technologies, bridging robotics and computer vision to revolutionize transport infrastructure monitoring.

Work Mode

Full-time, Part-time, Mix-mode (remain consistent within a calendar month)

Work Location

Science Park (Pak Shek Kok)

Preferred Academic Disciplines

Engineering, Technology

Preferred Skills and Knowledge

• Proficiency in computer vision libraries such as OpenCV, TensorFlow, or PyTorch.
• Experience with 3D point cloud processing and tools like PCL or Open3D.
• Familiarity with robotics frameworks (e.g., ROS, MoveIt) and real-time systems.
• Knowledge of SLAM algorithms and spatial mapping techniques.
• Programming expertise in Python and/or C++.
• Understanding of LiDAR, cameras, and other sensor technologies.
• Strong problem-solving skills and the ability to work collaboratively in a team environment.