The Technical University of Munich (TUM) invites applications for a PhD Position in Generative AI for Intelligent Traffic Systems at the Chair of Robotics, Artificial Intelligence and Real-Time Systems. The position focuses on developing generative and multimodal AI models for traffic simulation, autonomous driving, and digital twin systems.
Applicants must hold a master’s degree in computer science, transportation, or a related engineering field. They should have a strong background in generative AI, machine learning, and autonomous systems, along with solid programming skills in Python and C++. Familiarity with simulation tools like SUMO or CARLA is advantageous.
The Technical University of Munich (TUM) is one of Europe’s leading research universities, renowned for excellence in science, engineering, technology, and innovation. Founded in 1868, TUM consistently ranks among the top universities worldwide and is recognized as a “University of Excellence” in Germany. With campuses in Munich, Garching, and Freising-Weihenstephan, TUM fosters a vibrant research environment and strong industry partnerships.
Founded in 1868, Technische Universität München (Technical University of Munich) is a non-profit public higher education institution located in the urban setting of the large city of München (population range of 1,000,000-5,000,000 inhabitants), Bavaria. This institution has also branch campuses in the following location(s): Garching, Freising. Officially accredited and/or recognized by the Bayerisches Staatsministerium für Wissenschaft und Kunst (Bavarian State Ministry for Science and Art), Technische Universität München (TUM) is a large (uniRank enrollment range: 20,000-24,999 students) coeducational higher education institution. Technische Universität München (TUM) offers courses and programs leading to officially recognized higher education degrees such as pre-bachelor degrees (i.e. certificates, diplomas, associate or foundation degrees), bachelor degrees, master degrees, doctorate degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. International students are welcome to apply for enrollment.