The ideal candidates will have experience in one or more of the following topics: deep learning for image and point cloud data processing, deep learning for time series data prediction, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation, reinforced learning, flood modeling and impact analysis, complex system modeling, and optimization. They will have opportunities to work in a state of-the-art lab as Rutgers Urban Informatics laboratory is equipped with a suite of sensing systems such as mobile and static lidar systems, infrared thermography cameras, drones, and EEG as well as advanced computing and visualization systems such as CAVE (an immersive visualization facility),VR, and AR and computing clusters for data intensive research.