Technical University of Munich
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4 days ago
PhD Position in Runtime Risk Assessment for Autonomous Driving Technical University of Munich in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
Temporary full-time position according to TV-L E13 (100%) for 2+1 years. The post offers opportunities for doctoral studies, access to server infrastructure and test vehicles, training courses and conference budget, and the possibility of a stay abroad.
Country
Germany
University
Technical University of Munich

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About this position
Technical University of Munich is advertising a 100% PhD position in the Autonomous Vehicle Lab / Chair of Automotive Engineering on Runtime Risk Assessment for Autonomous Driving.
The project focuses on developing a real-time risk assessment system for autonomous vehicles that combines uncertainty from perception, prediction, and planning into an aggregated risk measure. The doctoral research will also cover threshold logic, escalation mechanisms, simulation-based validation, and real-world testing with safety-relevant KPIs.
This opportunity is especially relevant for candidates interested in computer science, robotics, engineering, autonomous systems, functional safety, Python, C++, and ROS2. The post explicitly seeks applicants with an excellent Master's degree in one of these areas, experience with autonomous systems and functional safety, and German and English at least at B2 level.
Funding is a temporary full-time TV-L E13 position (100%) for 2+1 years. The ad highlights access to extensive server infrastructure and test vehicles, a modern working environment, training and conference budget, and the possibility of a stay abroad.
The position starts on 1 October 2026. Applications should be sent by email or post with the job title in the subject line. The contact email listed is [email protected], and the post also names Christiane Schulte and contact person Xiyan Su.
Funding details
Temporary full-time position according to TV-L E13 (100%) for 2+1 years. The post offers opportunities for doctoral studies, access to server infrastructure and test vehicles, training courses and conference budget, and the possibility of a stay abroad.
What's required
Excellent Master's degree in Computer Science, Robotics, or Engineering with grade 1.x from a recognized university. Experience with autonomous systems and functional safety is required. Applicants should have strong communication and organizational skills, German and English at least at B2 level, and solid programming skills in Python, C++, and ROS2.
How to apply
Prepare your application documents including cover letter, CV, and attachments. Send them by email or post with the job title in the subject line to the Chair of Automotive Engineering at TUM. Contact person listed is Christiane Schulte; contact email for the post is [email protected].
More information can be found here
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