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PhD Position in Generative AI for Intelligent Traffic Systems, Germany

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.

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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.

Application Deadline: October 31, 2025

Brief Description

  • University or Organization: Technical University of Munich (TUM)
  • Department: Chair of Robotics, Artificial Intelligence and Real-Time Systems
  • Course Level: PhD (Research Assistant position)
  • Award: Varies
  • Access Mode: Online application via email
  • Number of Awards: NA
  • Nationality: Open to international and domestic applicants
  • The award can be taken in: Germany

Eligibility

  • Eligible Countries: Applicants from all countries are welcome to apply.
  • Acceptable Course or Subjects: The position is offered in the field of Generative Artificial Intelligence, Autonomous Systems, and Intelligent Transportation Systems under the PhD program at TUM.
  • Admissible Criteria: To be eligible, applicants must meet all of the following criteria:

  • Hold a master’s degree in Computer Science, Transportation, or related Engineering disciplines.

  • Have a strong background in generative AI, machine learning, and autonomous systems.

  • Possess programming experience in Python and C++, and familiarity with machine learning frameworks.

  • Knowledge of simulation frameworks (e.g., SUMO, CARLA) is highly desirable.

  • Demonstrate fluency in English (spoken and written); proficiency in German is an advantage.

  • Show ability to work independently, with a willingness to learn and contribute to research projects.

How to Apply

Interested candidates should send their complete application, including:

  • Motivation letter

  • Curriculum vitae (CV)

  • Copies of degrees and transcripts

  • Employment certificates and any other supporting documents

Please send your application consisting of a motivation letter, curriculum vitae, copies of your degrees and transcripts, employment certificates and any other relevant documents — all combined into one PDF file not exceeding 10 MB in size — to [email protected] and [email protected] latest by October 31, 2025.

Benefits

  • Full-time employment under TV-L E13 (German public sector pay scale).

  • Opportunity to earn a PhD degree while conducting cutting-edge research in AI and mobility systems.

  • Collaboration with leading international research institutions in intelligent mobility.

  • Access to state-of-the-art research infrastructure for autonomous systems and real-world experimentation.

  • Support for publishing research in top-tier journals and conferences.

  • Inclusive work environment with encouragement for applications from women and persons with disabilities.

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