AI as a Driver of Future Mobility
Future mobility systems are undergoing profound transformation. Artificial intelligence is emerging as a key enabling technology—ranging from autonomous vehicles and intelligent traffic management to novel mobility services. The objective of this thesis is to systematically assess and critically evaluate the current state of research in this domain.
Your Tasks
Within this thesis, you will conduct a systematic literature review on the topic “AI as a Driver of Future Mobility.” You will analyze and structure existing research from multiple perspectives, including technical aspects (e.g., machine learning and autonomous systems), system and application contexts (e.g., traffic management and multimodal mobility), as well as societal and regulatory dimensions (e.g., acceptance, ethics, and governance). The goal is to identify key trends, challenges, and research gaps, and to synthesize the findings in a scientifically rigorous manner.
Your Profile
- Enrolled in Electrical Engineering, Mechanical Engineering, Industrial Engineering, Computer Science, or Mechatronics
- Strong interest in artificial intelligence and mobility systems
- Structured and independent working style
- Basic experience in scientific research methods is advantageous
What We Offer
- Participation in a forward-looking research environment at the intersection of AI and mobility
- Insights into current scientific and technological developments
- Flexible start date and working period
- Supervision within an interdisciplinary context
General Information
- Type of thesis: Bachelor’s or Master’s thesis
- Language: German or English
- Start date: Flexible
Application
Please send your application documents (CV and current transcript of records) via email to: manuel spekker ∂does-not-exist.kit edu and ma.sommer@kit.edu.