Deskripsi Pekerjaan
Nanyang Technological University (NTU) is seeking a highly motivated and innovative Research Fellow to join our prestigious team working on safe driving assessments for Autonomous Vehicles (AVs). This role is pivotal in shaping the future of mobility by developing rigorous frameworks for system-level behavior validation.
As an NTU Research Fellow, you will lead cutting-edge research aimed at bridging the gap between theoretical AV safety models and real-world deployment. You will work in a collaborative, world-class research environment, utilizing state-of-the-art simulation tools and experimental data to ensure autonomous systems adhere to the highest safety standards. This position offers an exceptional opportunity to contribute to high-impact academic and industrial publications while collaborating with international partners in the automotive and robotics sectors.
Tanggung Jawab
- Develop, test, and validate comprehensive safety assessment frameworks for Autonomous Vehicles at the system level.
- Design high-fidelity simulation scenarios to evaluate AV decision-making under complex and edge-case traffic conditions.
- Analyze large datasets from AV sensors and V2X communication logs to identify safety-critical performance patterns.
- Collaborate with cross-disciplinary teams to integrate research findings into practical, deployable safety protocols.
- Publish high-quality research findings in top-tier journals and present at major international conferences.
- Mentor junior researchers and graduate students in technical methodology and project execution.
- Liaise with industrial partners to ensure research alignment with current market needs and regulatory standards.
Kualifikasi
- PhD in Robotics, Electrical Engineering, Computer Science, Automotive Engineering, or a related field.
- Strong publication record in top-tier journals or conferences related to AV, AI, or Control Systems.
- Demonstrated expertise in simulation platforms such as CARLA, IPG Automotive, or NVIDIA DRIVE Sim.
- Proficiency in programming languages including Python, C++, or MATLAB/Simulink.
- Solid understanding of motion planning, control theory, and machine learning techniques for autonomous systems.
- Excellent communication and interpersonal skills, with the ability to effectively translate technical findings for diverse stakeholders.
- Experience in data analysis and statistical validation of safety-critical systems.