Research in DitecT Lab
Columbia University
Eligibility
All Students
Accepts Applications Until
Dec 20, 2025
Project Duration
Flexible
Description
DitecT (Data and innovative technology-driven Transportation) focuses on transportation systems modeling, analysis, and simulation. We are currently focused on pioneering the development of digital twins for urban transportation management, leveraging cyber-physical systems technology, GenAI, and game theory.
Required Skills
Computer vision, transfer learning, game theory. Proficiency in coding and working with massive datasets
Additional Information
Qualifications:
- Undergraduate or master’s degree in fields such as Computer Science, Statistics, Applied Math, Optimization, Operations Research, or related areas with a strong background in GenAI.
- Experience in computer vision, 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