About the role
(Senior) Scientist, Intelligent Transportation Solutions role based on the published job description. Key responsibilities and requirements were extracted directly from the posting for quick review.
ResearchOnsite
Key Responsibilities
- Next generation urban road usage charging systems utilize GNSS based vehicle detection.
- Project aims to develop system resiliency against GNSS signal disruptions to ensure robust and accurate vehicle positioning for charging.
- The project focuses on development of data driven tools to support planning and management of new and existing charging points.
- Another objective is to design a cost-effective framework to detect malicious activities including jamming, blocking and spoofing of the GNSS signals.
- Furthermore, it aims to achieve robust and accurate vehicle positioning by leveraging on existing sensors and AI techniques to improve positioning in GNSS challenged environments.
- Additionally, the project explores the use of cost-effective beacons to enable V2X communication to enhance system resilience and accuracy.
Requirements
- Required Profile for Research Scientist
- Strong software development skills in C++ and Python.
- Hands-on experience with system design, modular architecture, and interfacing between multiple components.
- Familiarity with AI-assisted development workflows, including the use of AI tools for software development lifecycle (SDLC) automation to accelerate solution development.
- Ability to engage with stakeholders to formulate a comprehensive list of use cases and system requirements.
- Experience in system architecture design for integrated software solutions for the research outcomes.