Tyc-gis-empleo-teledeteccion-y-drones

  • Title: Remote Sensing Scientist
  • Contract lenght: full-time
  • Location: Santa Fe, NM

As a remote sensing scientist at Descartes Labs, you will be in a unique position to influence and leverage our world-leading geospatial analysis platform. The ability to stream data from multiple sources, scaled by the cloud, opens new product possibility and research avenues. Come be a part of the new geospatial world!

This is a position for a PhD scientist that is passionate about geospatial data. You should have specific, detailed, and published research exploring information extraction with large remote sensing data sets. Work applying data fusion, physical and statistical modeling, and spectral science to satellite data would make you well qualified for this position.

Responsibilities:

Leverage both well-known and novel approaches to information extraction problems to create scalable geospatial products for a wide selection of satellite sensors
Creatively leverage the confluence of multi-scale, multi-temporal data sources available in our platform
Provide expert input to customer conversations
Bring an experience-based vision of the unique products missing in the remote sensing market

Qualifications:

Ph.D. or M.S. in Earth Science, Aerospace Engineering, Physics or related field
Deep experience with remote sensing data and information extraction methods
Strong Python abilities; experience with GDAL
Experience with image accuracy – including spatial/projection/camera-model accuracy as well as spectral calibration
Experience with tool sets such as QGIS, Orfeo, or related open-source projects
Relevant experience working directly with partners or third party developers and presenting/speaking at technology conferences/hackathons/webinars, blogging/writing technical articles with an existing follower base, or contributing to an open source project for new and existing technologies and/or programming languages
Excellent verbal and written communication skills

ACCEDE A LA OFERTA

 

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