Overview
Artificial Intelligence has enabled breakthroughs once thought impossible—from robotic systems detecting harvesting ripe fruit with remarkable efficiency to autonomous drones performing high-speed aerial acrobatics with split-second precision. Yet, the frontier of pushing both speed and accuracy in AI-powered robotics remains one of the most exciting challenges. Find out everything with this Toward an AI-Powered Superfast Autonomous Racing Car (Internship) project from King Abdullah University of Science and Technology (KAUST) .
What You’ll Work on:
- Investigating innovative approaches to feedback control systems that integrate sensing, computation, and actuation.
- Experimenting with event-based sensing modules for ultra-fast perception and decision-making.
- Leveraging cutting-edge hardware accelerators for real-time, high-performance control.
- Testing algorithms in racing scenarios where milliseconds matter. What You’ll Gain
- Hands-on experience with state-of-the-art robotics hardware and AI methods.
- The chance to contribute to a system where split-second control determines success or failure.
- Mentorship and collaboration with researchers passionate about autonomy, robotics, and control theory.
- An opportunity to work on a project that combines the thrill of racing with the rigor of advanced engineering. Applicants should have:
- A strong background in robotics and control systems.
- Practical experience with Linux, Python, and C++ programming.
- Enthusiasm for tackling real-time, high-speed robotics challenges.
- Creativity and curiosity to explore unconventional approaches to autonomy.
Get more details
Visit programme websiteProgramme Structure
- Contribute to hardware integration by assembling, configuring, and fine-tuning sensing, computation, and actuation modules.
- Design and implement control and perception algorithms that enable high-speed, real-time decision-making on the race track.
- Conduct systematic testing and validation, including simulation-based evaluations and on-track experiments, to ensure reliability and safety at extreme speeds.
- Analyze performance data to refine both hardware and software components, identifying bottlenecks and proposing improvements.
- Document progress and outcomes through written reports, presentations, and demonstrations, contributing to both technical dissemination and team knowledge-sharing.
- Collaborate in a team-based research environment, participating in discussions, code reviews, and design iterations.
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
Start dates & application deadlines
- Application deadline: All year around
Language
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Delivered
Campus Location
- Thuwal, Saudi Arabia
Disciplines
Electrical Engineering RoboticsExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Undergraduate students in 3rd year or above and master’s students.
- Minimum GPA: 3.5/4
- Curriculum Vitae (CV)
- Statement of purpose
- Contact details of 3 referees
- Official English language test score
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Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residentsFree -
Domestic Applies to you
Applies to youCitizens or residentsFree
Additional Details
- This is a fully-funded internship; it includes tuition, airfare, housing, medical insurance, visa reimbursement and a monthly stipend of $1,000.
Living costs
Thuwal
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.