(Senior) Scientist, Intelligent Transportation Solutions, I2R
A*STAR is seeking a Research Scientist to develop robust urban road usage charging systems by enhancing GNSS resilience against disruptions. The role involves developing data-driven tools, signal processing algorithms, and AI-based sensor fusion to maintain accurate vehicle positioning. You will be responsible for system architecture, algorithm development for jamming and spoofing detection, and conducting field trials to validate performance. This position requires strong expertise in C++, Python, and machine learning applied to spatial data.
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Experience
Experience not specified
Function
Research
Work mode
Onsite, Singapore
Company
Tier 2
What you will work on
A*STAR is seeking a Research Scientist to develop robust urban road usage charging systems by enhancing GNSS resilience against disruptions. The role involves developing data-driven tools, signal processing algorithms, and AI-based sensor fusion to maintain accurate vehicle positioning. You will be responsible for system architecture, algorithm development for jamming and spoofing detection, and conducting field trials to validate performance. This position requires strong expertise in C++, Python, and machine learning applied to spatial data.
TAL's take
Role at a prestigious research agency in a highly technical domain with clear, specialized research objectives.
The JD provides a highly specific set of research objectives, technical requirements, and project goals related to GNSS positioning and signal resilience.
Must haves
- Strong software development skills in C++ and Python
- Hands-on experience with system design and modular architecture
- Expertise in data analytics and signal processing algorithms
- Experience in large-scale data mining and spatio-temporal analysis
- Ability to develop algorithms for GNSS signal detection and vehicle positioning
Tools and skills
About the company
A*STAR is a renowned public research agency in Singapore, categorised as a tier 2 organisation due to its academic and research focus.