Postdoctoral Fellowship in Autonomous Driving Systems

About the role

The Department of Mechanical Engineering at the American University of Sharjah (AUS) is offering a one-year postdoctoral research fellowship in autonomous driving systems and artificial intelligence, within a funded research project on lane-changing for autonomous vehicles.

Key responsibilities

• Lead the development and testing of hybrid trajectory prediction algorithms and high-level decision-making models.
• Design and implement advanced AI/ML/RL solutions for real-time driving behavior prediction and maneuver planning.
• Integrate models in simulation environments (e.g., CARLA, SUMO) and validate them on real autonomous platforms.
• Publish high-quality journal papers and present at top-tier conferences.
• Supervise and collaborate with graduate research assistants and students.

Required profile

• PhD in Mechanical/Mechatronics Engineering, Robotics, AI or a related field.
• Degree awarded in 2020 or later from a reputable university.
• Strong publication record in areas such as autonomous vehicles, trajectory prediction, decision-making, reinforcement learning or estimation theory.
• Applicants who do not meet the stated requirements will not be shortlisted.

Preferred qualifications

• Deep understanding of the autonomous navigation stack: sensing, perception and localization, planning and control.
• Experience designing decision-making systems for autonomous vehicles or ground robots.
• Proficiency in MATLAB, C++ and Python, with debugging and profiling skills.
• Hands-on experience with ROS2, Docker, Git and field robotics on Linux; hands-on experience with mobile robots (e.g., Robotnik RB-Car) is an advantage.

To apply, interested candidates complete the application form; the position remains open until filled. AUS alumni are encouraged to apply.