
Research Engineer (1-year contract), SCIS
Singapore Management University
- Singapore
- Contract
- Full-time
- Design scenario modeling methods for ADS testing.
- Design algorithms for critical scenarios generation.
- Develop methods for failure analysis and root cause analysis of critical scenarios.
- Develop methods to mitigate failures and improve ADS safety.
- Investigate robust motion planning for ADSs that can tolerate module failures in ADSs.
- Other duties as assigned.
- Minimum Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning.
- Minimum 5 years of relevant research experience in ADS testing, motion planning, and deep learning.
- Proficiency in programming software/languages such as Python and SVL/CARLA will be positively considered.
- Proven track record and professional experience in ADS testing and motion planning.
- Demonstrated experience and know-how on ADS testing and robust motion planning.
- Excellent working knowledge of some simulators (e.g., CARLA, SVL ) and ADSs (e.g., Apollo, Autoware).
- Technical skills in ADS testing and learning-based motion planning.
- Ability to break down complex problems and design effective solutions.
- Innovating new approaches and thinking outside the box.
- Applicants with research publications in software engineering, intelligent vehicles, and robotics area will be advantageous.
- Ability to work cooperatively as part of a small, agile academic research team is essential.
- Self-motivated individual who can work independently and collaboratively with team members.