Recruiting PhD for Fall 2026 at Columbia University in the City of New York

I am seeking to recruit 1-2 PhD students for Columbia University starting Fall 2026. The research directions in my group requires expertise at the intersection of Game Theory, Applied Mathematics, Computer Science or Data Science, and Electrical Engineering. The ongoing projects include:
– Generative models for data generation (including methodological development for diffusional models, LLM models)
– Policy Evaluation with Transfer Learning based on various sensors such as dash cam and infrastructure-based cameras
– VR/AR development for Traffic Simulation and Digital Twin Development
– PDE models to model and simulate rare events

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Additionally, there are research opportunities for senior undergraduate and master students interested in gaining experience related to autonomous driving, computer vision, game theory, and mobility optimization. Priority will be given to students interested in applying for the PhD position.

Expected Qualifications:
– Undergraduate or master’s degree in fields such as Computer Science, Data Science, Operations Research, or related areas with a strong background in computer vision or statistics.
– Experience in computer vision, VR/AR experimentation, transfer learning, or game theory methods with interest in applications to transportation
– Strong mathematical and analytical skills with experience or a strong interest in autonomous driving and vision-based solutions for transportation
– Proficiency in coding and working with massive datasets
– Good communication skills, collaboration experience, and a strong motivation

Students interested in applying should email Dr. Di at sharon.di@columbia.edu with their CV, transcript, and a brief statement on their motivation to pursue a PhD in this area, or directly apply via the program application portal (due Dec 15). Please allow tis

Dr. Xuan (Sharon) Di (https://lnkd.in/eyaX3ewV) is an Associate Professor in the Department of Civil Engineering and Engineering Mechanics at Columbia University in the City of New York and co-chairs the Smart Cities Center in the Data Science Institute. Dr. Di directs the DitecT (Data and innovative technology-driven Transportation) Lab, focusing on innovative transportation systems research. Her overarching mission is to empower mobility for all, with a strong emphasis on using technology for social good. Currently, Dr. Di is pioneering the development of digital twins for urban transportation management, leveraging cyber-physical systems technology. Her research encompasses autonomous vehicle control on shared roads, multi-modal mobility optimization, and transportation-health intersections.

https://lnkd.in/gsh8t4Mj