Jobfoundry
Jobfoundry
A*STAR

(Senior) Scientist, Intelligent Transportation Solutions

A*STAR
ResearchSingaporeOnsitePosted 2 weeks ago
Apply Now

About the role

AI summarised

This project focuses on developing resilient and accurate vehicle positioning systems for next-generation urban road usage charging. The work involves creating data-driven tools to manage charging points, designing frameworks to detect malicious GNSS signal interference (jamming, spoofing, blocking), and leveraging AI/sensor fusion for robust positioning in challenging urban environments.

ResearchOnsite

Key Responsibilities

  • Develop algorithms to detect jamming, spoofing, and blocking of GNSS data through hierarchical fusion of multi-sensor data from a vehicle OBU.
  • Develop an INS-based dead reckoning algorithm utilizing Kalman Filter variants and methods for map feature extraction from INS-only data.
  • Implement AI-based multimodal data fusion and tracking algorithms for robust, high-accuracy, real-time vehicle positioning in GNSS-challenged urban environments (GNSS, INS, V2X).
  • Conduct large-scale data mining and spatio-temporal analysis of raw GNSS data to characterize signal quality and positioning performance across the road network.
  • Derive high-quality road segments by analyzing attributes like DOP, SNR, and snapping distances to map links.
  • Develop algorithms for charging point design, selection, quality assessment, and conducting root cause analysis for low accuracy points.
  • Design test cases and conduct field trials to validate algorithm performance in detection of malicious activities and improved vehicle positioning in challenging sites (e.g., carparks, tunnels).

Requirements

  • Strong software development skills in C++ and Python.
  • Hands-on experience with system design, modular architecture, and interfacing between multiple components.
  • Expertise in data analytics and signal processing algorithms.
  • Demonstrated ability to apply machine learning and AI techniques to real-world problems.
  • Experience in large-scale data mining and spatio-temporal analysis of raw GNSS data.
  • Ability to engage with stakeholders to formulate comprehensive use cases and system requirements.
  • Experience in system architecture design for integrated software solutions.