Be part of the team to co-develop an AI-assisted Scan2BIM technology that integrates AI model for automated point cloud semantic instance segmentation and support 3D BIM reconstruction, in partnership with a reputable tertiary institute.
The development work includes:
(a) Design streamlined input/output processes and data workflows for users through a server or web-based interface.
(b) Enhance existing algorithmic logic and computational efficiency of the scan-to-BIM solution for better performance to support larger file sizes and more efficiently process large-scale point clouds from real-world projects.
(c) Deploy the AI model and GUI on a server or web platform with sufficient CPU/GPU resources to support AI inference.
(d) Implement secure access control mechanisms (e.g., password protection, user authentication) to safeguard data and maintain system integrity. Conduct cost analysis covering maintenance, software updates, system monitoring, and server management.
[What we are looking for]
Computer Science
Keen interest in land transport infrastructure
Team player
Willingness to learn
Strong analytical skill
Proficiency in Python programming
* Experience with Machine Learning Algorithms
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