AI Engineer – Trajectory Planning (f/m/d)

Vehicle Intelligence & Automated Driving

Are you wondering

• How can I help advance the development of autonomous vehicles from Europe for Europe?
• How can an autonomous vehicle plan its trajectory intelligently, safely and efficiently while taking external factors into account?
• What impact does intelligent trajectory planning have on road infrastructure?
• How can digital twins of the road be used for autonomous driving?

Your profile

• Completed university degree (Master's or equivalent) in mechanical engineering, computer science, electrical engineering, robotics or a comparable discipline
• Sound knowledge of machine learning
• Knowledge of control engineering, optimization, reinforcement learning or motion planning is an advantage
• Programming skills in Python and/or C/C++
• Independent, reliable and systematic way of working
• Very good written and spoken English; very good German language skills are an advantage

Your tasks

• You develop AI-based methods for trajectory planning that also account for the load placed on the infrastructure
• You couple vehicle-side planning with digital twins of the road and integrate infrastructure condition data into the planning process
• You evaluate your methods in simulation, in the high-dynamic driving simulator and in a real test vehicle
• You work closely with civil engineering and materials science within the DFG Collaborative Research Centre/Transregio 339
• You publish your results at international conferences and in scientific journals

What we offer

• Research within the DFG Collaborative Research Centre/Transregio (CRC/TRR) 339: long-term secured funding and a strong scientific environment across disciplines and locations
• Interdisciplinary research in global cooperation with leading automotive manufacturers and suppliers
• Unique facilities: our own test vehicles, state-of-the-art computing infrastructure and a high-dynamic driving simulator
• Challenging tasks in a highly motivated team
• Early opportunity to lead your own projects on your own responsibility
• Option to pursue a doctorate (Dr.-Ing.)
  • Remuneration according to [EG 13] TV-L, flexible working hours and mobile working