Opportunities

This PhD student will focus on optimizing, running, and evaluating distributed learning mechanisms in vehicular network environments. The main objective is to investigate how vehicles can contribute to efficiently collect and process data to generate knowledge about many aspects in a smart city, such as traffic behavior and improvement through automated intersections, objects recognition and tracking, collision avoidance, pollution, and weather monitoring, and so on.