Overview
American University of Sharjah is accepting applications for a one-year postdoctoral research fellowship in autonomous driving systems and artificial intelligence.
Complete research opportunity details
The funded research project focuses on lane-changing for autonomous vehicles. The fellow will lead trajectory-prediction and high-level decision-making work, develop AI, machine-learning and reinforcement-learning methods for driving behavior prediction and maneuver planning, integrate and test models in simulators such as CARLA and SUMO, publish research, and work with graduate researchers. AUS states that the position is open until filled.
Eligibility requirements
Applicants need a PhD in Mechanical or Mechatronics Engineering, Robotics, AI or a related field, awarded in 2020 or later by a reputable university. AUS seeks a strong publication record plus programming and autonomous-systems expertise; experience with MATLAB, C++, Python, ROS2, Docker, Git, Linux robotics workflows and autonomous navigation is among the listed preferred strengths.
Tips for this postdoctoral opportunity
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Match your research background to the project, laboratory, supervisor and required methods rather than applying only from the title.
- Prepare a focused academic CV, transcripts, publications and research statement or proposal when requested by the official call.
- Confirm funding duration, stipend/salary, tuition coverage, start date and eligibility for international applicants.
- Contact a supervisor before applying only when the official instructions recommend or require it.
Verification notes
Verified 2026-08-29 against the live AUS vacancy page and official application form. AUS explicitly states that this is a one-year postdoctoral research fellowship and that the position is open until filled. The page does not publish a numeric stipend or closing date.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
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