Postdoctoral Fellowship in Autonomous Driving Systems | Department of Mechanical Engineering
American University of SharjahJob Description
Position Summary The Department of Mechanical Engineering at the American University of Sharjah (AUS) is inviting applications for a one-year postdoctoral research fellowship in autonomous driving systems and artificial intelligence, as part of a funded research project on lane-changing for autonomous vehicles. Job 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 on real autonomous platforms. - Publish high-quality journal papers and present at top-tier conferences. - Supervise and collaborate with graduate research assistants and students. Qualifications And Skills Required - PhD in Mechanical/Mechatronics Engineering, Robotics, AI, or a related field. - Awarded degree 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. Preferred Qualifications And Skills - Deep understanding of the autonomous navigation stack: sensing, perception and localization, planning, and control. - Proven experience designing decision-making systems for autonomous vehicles or ground robots. - Deep understanding of decision paradigms: utility-based, rule-based, probabilistic, optimization, statistical learning, and reinforcement learning. - Strong experience with behavior trees, state machines, and planning frameworks. - Proficiency in MATLAB, C++, and Python; strong debugging and profiling skills. - Hands-on experience with ROS2, Docker, Git, and field robotics development on Linux systems. - Solid grasp of software design patterns and scalable architecture principles. - Excellent problem-solving skills and the ability to navigate ambiguity in complex, dynamic systems. - Strong communication and collaboration skills in interdisciplinary teams. - Strong debugging and analytical skills, with experience validating systems in both simulated and real-world environments. - Hands-on experience with mobile robots (e.g., Robotnik RB-Car) is an advantage. How To Apply - Interested applicants should fill out the form. The position is open until it is filled. - AUS alumni are encouraged to apply. Applicants who do not meet specified requirements will not be shortlisted. Only shortlisted candidates will be contacted. - AUS is an equal opportunity employer. We adhere to a policy of making employment decisions without regard to race, color, age, gender, religion, national origin, disability or marital status. Opportunities for employment are based solely upon one’s qualifications.
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