Applied Mathematician

Applied Mathematician

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Revolutionary and patent-protected hardware technologies, signal processing algorithms and system innovations that enable ultra-low-power and high recision GNSS positioning.

Our high precision GNSS solution achieves reliable centimeter accuracy in urban canyon environments. This new level of reliability and availability will pave the path for the next generation of sensing and navigation applications, such as autonomous vehicles, augmented reality, and beyond.
Responsibilities´╝Ü
Lead R&D related to information theory, statistical signal processing, optimization, etc. Combine fundamental math and data analytics to solve challenging real-world problems.

Qualifications:
1. Minimum M.S. degree in Physics, Mathematics, Statistics, Electrical Engineering or relevant fields.
2. Research or work experiences in any of the following fields: Information theory, probability theory, high dimensional statistics, statistical signal processing, computational math, numerical analysis´╝Ť