Research Fellow: AI-Driven Traffic Safety & Prediction

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A prestigious educational institution in Singapore is seeking a Research Fellow to focus on safety assessment and accident prediction models using AI technology for mixed-traffic environments. The role includes designing driving simulations, developing deep learning models, and analyzing traffic data. A Ph.D. by December 2025 in a relevant field is required. Strong programming skills in Python and a background in AI are essential. This position offers an opportunity to contribute to Singapore's transition to safer traffic systems.

Qualifications

• Ph.D. degree in a related discipline by December 2025.
• Expertise in AI, deep learning, and programming.
• Experience in driving simulation or traffic safety analysis.

Responsibilities

• Design and conduct driving simulation experiments for risk assessment.
• Develop deep learning models for safety assessment.
• Process and analyze multi-source traffic data.

Skills

AI

Deep learning

Python

Data analysis

Teamwork

Education

Ph.D. in transportation engineering or related discipline

Tools

PyTorch

Job description

A prestigious educational institution in Singapore is seeking a Research Fellow to focus on safety assessment and accident prediction models using AI technology for mixed-traffic environments. The role includes designing driving simulations, developing deep learning models, and analyzing traffic data. A Ph.D. by December 2025 in a relevant field is required. Strong programming skills in Python and a background in AI are essential. This position offers an opportunity to contribute to Singapore's transition to safer traffic systems.