Welcome to the UCLA Mobility Lab

We are a research lab dedicated to harnessing system theories and tools, such as artificial intelligence, control theory, robotics, machine learning, and optimization, to innovate and develop advanced mobility technologies and solutions for smart cities, particularly intelligent vehicular and transportation systems. Extensive research has been conducted, with the support from government agencies (e.g., U.S. DOT, state DOTs, National Science Foundation), and private sectors, in improving transportation system sustainability with advanced technologies and management solutions. We leverage the university environment and work with external partners to perform research and development and prepare future workforce for competitive advantage in the following areas:

  • Advanced vehicular technologies, vehicle automation, and electrification
  • Urban analytics for future mobility and smart cities
  • Resilient, secure, smart transportation and logistics infrastructure

Thank you for your interest in our work. Please feel free to contact us should you have any questions. We also welcome any type of collaboration! Cheers!

“To pursue the discoveries and inventions for the better of humankind, to work on the frontiers of applied knowledge, and to communicate to the next generation the excitement of science.”

Teresa A. Sullivan

8th President, University of Virginia

Follow US:

          ResearchGate          GitHub          LinkedIn          Twitter   

Hiring: Multiple Research Positions Available at the UCLA Mobility Lab

We are looking for multiple new team members (Ph.D. students, Post-doc researchers) to join the lab. The expected start date is between Winter 2022 and Fall 2022 (January 2022 – September 2022). Funding will be available, and the salary will be based on past experiences and qualifications. Selected candidates will work on the following areas: cooperative driving automation, cyber-physical transportation systems, transportation systems resilience, intelligent transportation systems, artificial intelligence and advanced computing applications in automated transportation. Specifically, the candidates may work with physical connected/automated vehicles to test various perception, planning, and control algorithms, or perform analysis, modeling, simulation, control, and deployment of future mobility systems.

Candidates with backgrounds in artificial intelligence, data science, robotics, and control theories are encouraged to contact Dr. Ma directly at jiaqima@ucla.edu. Strong computer programming skills (e.g., C++, Java, Python, with provable large project-level experiences, not at course/beginner level) are required.