As a GNSS-R/Bistatic Radar Scientist at Spire, you will be an integral part of a small but agile team focused on developing and operating a GNSS bistatic radar mission (aka GNSS reflections or “GNSS-R”). You will work across the various disciplines of bistatic radar remote sensing mission design and analysis, GNSS-R receiver processing, GNSS-R retrieval algorithm development, and measurement calibration and validation.
You will work with the world’s premier nanosatellite GNSS receiver design team to implement GNSS-R capabilities on our state-of-the-art CubeSat GNSS payload. You will develop the remote sensing algorithms and codes to turn GNSS-R bistatic radar measurements of the Earth surface into valuable products for a wide variety of global customers, and these products will lead the field in Earth observations from commercial CubeSats. You will have the responsibility to ensure that we deliver high-quality, low-latency Earth remote sensing products and the freedom to pursue novel, high-impact applications. And instead of your ideas and efforts sitting on a shelf or hidden in an academic journal, you will see and experience them actually working in space within months.
Responsibilities of your role:
Contributing to the mission design and operation of a GNSS-R bistatic radar payload on a large and growing constellation of CubeSats.
Working with the payload team to implement GNSS-R algorithms into the existing and new versions of the GNSS receiver payload.
Ensuring the payload can meet measurement requirements, including a robust and precise bistatic radar calibration system.
Retrieval algorithm development for the conversion of low-level GNSS-R measurements into calibrated measurements of Earth surface bistatic radar cross section and derived products for ocean, land, and sea ice surfaces.
Conducting thorough calibration and validation of the measurements to improve their quality and to document their accuracy and precision for customers.
Supporting the commissioning and operation of the GNSS-R payload after launch and performing agile development while on orbit to constantly increase capabilities and improve performance.
Qualifications / Experience:
Direct experience in satellite or aircraft-based GNSS-R remote sensing or scatterometry.
Ph.D. or M.S. in remote sensing, preferably satellite microwave radar and/or radiometry, electrical engineering, applied physics, or a related field.
Strong Linux computer skills.
Experience with programming and analysis in Python (preferred) or Matlab/Octave.
Strong background in physics, mathematics, and statistics.
Knowledge of remote sensing and GNSS signal processing.
In-depth knowledge in one or more of the following surface remote sensing disciplines: physical oceanography, terrestrial hydrology, or cryospheric sciences.
Exceptionally well-organized, with the ability to go as deep as needed in any project to identify and resolve problems.
Adaptability to new ideas and the ability to push the envelope of GNSS capabilities to deliver unique applications in Earth observations.
Strong candidates will also possess skills in at least one of the following areas:
Strong background in GNSS-R and/or GNSS-RO science and applications.
Ph.D. thesis topic in GNSS remote sensing
Experience in calibration and validation of remote sensing data.