Research Scientist: ADS Safety & AI Testing

Singapore Management University; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

Singapore Management University’s School of Computing and Information Systems (SCIS) invites applications for a research position focused on AI security and autonomous driving system (ADS) testing. You will design scenario modeling methods and algorithms for generating critical scenarios while developing methods for failure analysis and ADS safety improvements.

The candidate should hold a PhD in CS/IT/IS with at least 3 years of related research experience, publish in top journals/conferences,

Qualifications

• PhD in CS/IT/IS or related field with focus on CS.
• At least 3 years of AI security and ADS testing research experience.
• High-quality publications in top-tier software/AI journals or conferences.

Responsibilities

• 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.
• Write research papers.
• Other duties as assigned.

Skills

Python

PyTorch

Machine learning

Software testing

Education

PhD in Computer Science or related field

Job description

Singapore Management University’s School of Computing and Information Systems (SCIS) invites applications for a research position focused on AI security and autonomous driving system (ADS) testing. You will design scenario modeling methods and algorithms for generating critical scenarios while developing methods for failure analysis and ADS safety improvements.

The candidate should hold a PhD in CS/IT/IS with at least 3 years of related research experience, publish in top journals/conferences,