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GNSS Positioning Technologies Principal Scientist
TN United Kingdom
London
On-site
GBP 125,000 - 150,000
Full time
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Job summary
An established industry player is seeking a Principal GNSS Scientist to join their innovative team. In this pivotal role, you will lead the research and development of advanced positioning technologies that drive the future of ADAS. Collaborating with diverse teams, you'll take ownership of new ideas and contribute to the software development lifecycle. Your expertise in GNSS signal processing, Matlab analysis, and multi-sensor fusion will be crucial in inspiring the next generation of technologies. If you're passionate about pioneering advancements in this field, this opportunity is perfect for you.
Qualifications
- Experience with GNSS measurement engine and full signal processing chain.
- Strong knowledge of Matlab and multi-sensor fusion techniques.
Responsibilities
- Lead research and development for ADAS technology.
- Contribute to the software development lifecycle for ADAS tools.
- Inspire R&D initiatives for groundbreaking technologies.
Skills
Education
Job description
Expert Employment
London, United Kingdom
Other
Yes
8c76a6458c2b
Principal GNSS Scientist required to join our GNSS team and help lead the research and development of ADAS technology. As a GNSS Positioning Technologies Principal Scientist, you will work to set a new standard for positioning technologies, collaborating with cross-functional internal teams including Automotive, C++, Signal Processing, and navigation specialisms.
Key Responsibilities:
- Technical ownership of new research and development ideas.
- Contribute to the software development lifecycle on the development of ADAS software and tools.
- Propose, lead, and participate in R&D initiatives inspiring the next generation of groundbreaking technologies.
Required Qualifications:
- Experience with GNSS measurement engine and full GNSS signal processing chain knowledge.
- Matlab analysis skills.
- Synthetic aperture processing and GNSS simulators.
- Relevant academic or industrial experience.
- Knowledge of Kalman filters and other probabilistic estimation techniques.
- Multi-sensor fusion techniques, including tight and deep coupling for GNSS-INS.
- Experience with RTK, PPP, multi-constellation positioning, or Multipath mitigation methods.
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Created on 18/04/2025 by TN United Kingdom
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