Career Center

The Rutgers CEE Urban Informatics lab & The Infrastructure Resilience Group at Rutgers Center for Advanced Infrastructure and Transportation (CAIT) invite applications for a postdoctoral associate position.

The position is in the area of AI powered building and infrastructure system modeling and evaluation. The specific applications can be extraction of flood-related structural information from point cloud data, remote sensing for intelligent climate impact assessment, intelligent disaster management, multi-agent reinforced learning for collaborative data collection, digital twining of critical infrastructure systems, and VR/AR based simulations for complex systems.

The successful candidate will report to Dr. Jie Gong at CAIT and will work in the Rutgers Urban Informatics laboratory, a state of-the-art lab equipped with advanced remote sensing systems such as UAV, mobile, and static lidar systems, infrared thermography cameras, and drones as well as with advanced computing, simulation, and visualization capabilities. Systems such as CAVE (an immersive visualization facility) and GPU clusters are available for data intensive research. The candidates are expected to contribute to research projects funded by various federal funding programs such as NSF (Smart and Connected Community, CoPE, Future Works), FEMA, HUD, and DHS.

This position requires a PhD in civil engineering, mechanical engineering, or related engineering fields. The ideal candidate will have experience in one or more of the following topics: point cloud data analysis, computer vision, GIS & geospatial big data, large-scale geo-visualization, AI and data science approaches for smart and resilient communities. Applicants must have a Ph.D. in Civil and Environmental Engineering, Geography, Urban planning, Computer Science, Electrical Engineering, or a closely related field.

This position requires good communication, technical writing and presentation skills, and a strong proficiency in office applications. Ability to manage, document, and organize multiple simultaneous projects is key. Requires occasional travel within United States for data collection and to attend meetings/conferences/etc. Both candidates must have strong skills in planning and organizing, information integration, decision-making, and attaining results. The ability to conduct research, compile data and formulate reports and deliverables on a consistent and timely basis are critical. Must be able to think broadly and conceptually and formulate creative, sophisticated solutions to complex problems, prioritize workload, and work independently with general supervision.