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Spectral Sciences, Inc.

Remote Sensing Research Scientist/Engineer

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What they do

A Remote Sensing Technician works to apply remote sensing technologies to assist scientists in areas such as natural resources, urban planning, or homeland security. May prepare flight plans or sensor configurations for flight trips.

$78,744 / year median in the U.S.

+14% projected growth

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Job Description

Remote Sensing Research Scientist/Engineer Job Description:
Remote sensing algorithm development, specifically in the electro-optical/infrared (EO/IR) domain AI/ML with applications to Earth observation imaging, processing, detection, and tracking Radiative transfer modeling and simulation
Required Minimum Qualifications:
A PhD in physical sciences (physics, chemistry, atmospheric sciences, remote sensing, optics), engineering (mechanical, electrical, chemical, aerospace) or in a related field; or an M.S. degree in physical sciences or engineering discipline plus three years of relevant post-degree work experience; or substantial experience in research and development for government, academia, or industry relevant to SSI focus areas. Experience with the development of physical/mathematical/numerical models, data-driven modeling, data analysis pipelines, and/or remote sensing concepts. Extensive experience with scientific programming (C/C++, Fortran, etc.) and/or scripting languages (Python, MATLAB, etc.). A track record of written, oral, and interpersonal communications skills. US citizenship and the ability to obtain a US Government Security Clearance.
Additional Qualifications Considered:
Post-graduate or equivalent work experience. Government research and/or military experience. Experience with chemistry, hyper/multi-spectral image analysis, molecular spectroscopy or radiative transfer phenomena. Experience with high performance computing (HPC), parallel programming, and integration of chemical and physical models within large-scale computational simulations. Experience with AI/ML methodology with applications to computer vision, regression tasks, or scientific / physics-informed machine learning. Experience with modern software engineering processes and version control, preferably Git. Demonstrated accomplishment in team building, customer relations, technical marketing, and proposal writing.

Benefits

  • Dental Insurance