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Innovative Research Scientist for Autonomous Systems
3 weeks ago
Research Opportunities in Autonomous Systems
We are seeking a highly motivated and experienced researcher to join our team. The ideal candidate will have a strong background in autonomous systems, machine learning, and software engineering.
About the Role
The candidate will be responsible for conducting research on SOTIF testing, failure analysis, and failure mitigation for autonomous driving systems (ADSs). This includes generating critical scenarios that cause motion failures of autonomous vehicles, analyzing the root cause of these failures, and developing new algorithms to mitigate them.
- 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.
Qualifications
To be successful in this role, you will need:
- A Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning.
- At least 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.
- A 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.
Benefits
We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities.
Others
Please note that your application will be sent to and reviewed by the direct employer. We look forward to receiving your application
