Postdoctoral Fellow (AI-Driven Digitalization and Management of Civil Infrastructure)
Core
Develop AI-driven methodologies for the digitalization and intelligent management of civil infrastructure using computer vision, machine learning, and 3D reconstruction.
Role type
Postdoctoral Fellow (AI Research)
Builds
Structured digital representations from multimodal data for infrastructure monitoring and decision-making
Domain
Civil Engineering + Artificial Intelligence
Deliverable
production ML models | research
Required skills
computer vision, deep learning, 3D reconstruction, multimodal sensing, LiDAR processing, machine learning, large language models, agentic AI, Python, C++, machine learning frameworks
Preferred skills
infrastructure digitalization, construction processes, robotic systems, AI-based automation
Technologies
Python, C++, machine learning frameworks, LiDAR
Responsibilities
Conduct research in computer vision, machine learning, large language models, AI agents, and 3D reconstruction; Develop methods for multimodal sensing, semantic understanding, information extraction, and digital twin integration; Execute numerical/physical experiments and prototype deployments in laboratory and field environments
Seniority
Postdoctoral, hands-on IC
