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A*STAR Research Entities is seeking a (Senior) Scientist for their Intelligent Transportation Solutions project in Singapore, focusing on developing resilient urban road usage charging systems utilizing GNSS technology. The ideal candidate will have strong software development skills, experience in system design, data analytics, and the application of AI techniques to enhance vehicle positioning and security against signal disruptions.
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Job Summary
The project aims to develop system resiliency against GNSS signal disruptions to ensure robust and accurate vehicle positioning for next-generation urban road usage charging.
Candidates will design cost-effective frameworks to detect malicious activities including jamming, blocking, and spoofing of GNSS signals using hierarchical sensor fusion.
The role involves leveraging existing sensors and AI techniques to improve positioning accuracy in GNSS-challenged environments such as carparks, urban canyons, and tunnels.
Matching Summary
Match Score: 75
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A*STAR Research Entities is seeking a (Senior) Scientist for their Intelligent Transportation Solutions project in Singapore, focusing on developing resilient urban road usage charging systems utilizing GNSS technology. The ideal candidate will have strong software development skills, experience in system design, data analytics, and the application of AI techniques to enhance vehicle positioning and security against signal disruptions.
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Skills & Requirements
Must-have
C++ and Python software development
GNSS signal disruption detection algorithms
Kalman Filter variants for INS dead reckoning
Multimodal data fusion for vehicle tracking
Spatio-temporal analysis of raw GNSS data
Hierarchical sensor fusion for jamming detection
Nice-to-have
Experience with AI-assisted SDLC automation
Stakeholder engagement for use case formulation
Field trial design in urban canyon environments
Cost-effective beacon framework design
Map feature extraction from INS-only data
Key Requirements
Strong software development skills in C++ and Python
Expertise in data analytics and signal processing algorithms
Experience in large-scale data mining and spatio-temporal analysis
Ability to conduct root cause analysis for low accuracy charging points
Design methods for extraction of map features and blind search