This is an interdisciplinary position at the intersection of artificial intelligence, deep learning, and transportation systems. The Ph.D. student will work on research projects focused on developing innovative machine learning solutions for optimizing the operations of an electric autonomous vehicle-based transit system such as inferring trip characteristics, modeling trip choices, placement of charging stations along with reinforcement learning for optimizing the choice of system parameters.

Please see Position Details for more information.