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PhD degree related to geography, geographic information systems, remote sensing, or physical / biological / environment / natural resource discipline with substantive coursework in geospatial analysis and modeling, and one (1) year relevant work experience.
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The position shall assist in evaluating and applying new remote sensing and associated technologies (e.g., new sensors and platforms, software technologies, data processing and analysis methods, data mining, geospatial modeling, UAV data extraction and interpretation, etc.
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Candidates must be proficient in GIS and R or Python, with quantitative skills in remote sensing and/or experience working with large climatic data sets preferred. The projects will use in situ ecological data to conduct quantitative analyses such as occupancy modeling, spatial analyses, population estimation, fire and drought data integration for decision support, and analysis of the impacts of climatic conditions on success of management, ecological restoration and conservation planning.
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Understanding and experience with UV/VIS/IR active and passive components, optical, opto-mechanical, and opto-electronic system design, image processing, Lidar-based atmospheric remote sensing, EO/IR sensors, night vision, and electronics are desired.
$106,000 - $149,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Knowledge of the p rinciples, theories, and methods of hydrology, hydrogeology, geology, geomorphology, integrated remote sensing, meteorology, geospatial analysis, and/or surface/groundwater modeling.
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Hydroinformatics - Motivated by the expansion of data acquisition systems and the need for managing and using massive datasets, this position requires specialization in information systems and technology for water management, engineering, and operations, with expertise in extreme data management, analytics, data mining, large dataset access, remote sensing, artificial intelligence, machine learning, water systems modeling, and geographic information systems.
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A Ph. D. or equivalent doctoral degree in environmental science, plant or crop science, computer science, bioinformatics, statistics, remote sensing, agriculture, biosystems engineering, electrical engineering, or related disciplines is required.
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The Mission Engineering and Analysis organization responsibilities include radiometric sensor test planning and support; mission data analysis; remote sensing modeling, characterizing, and optimizing sensing instrument performance; and technical analysis and design of next generation systems to meet overall system mission performance and operational goals.
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Demonstrated expertise with GIS and remote sensing tools such as: ArcGIS/ArcPro or Boundless Desktop GIS; Ignite is seeking a Geospatial Intelligence (GEOINT) Integrator / Data Scientist to support the development of analytic methodologies oriented toward enabling the statistical analysis, predictive modeling, and data visualization objectives of an intelligence community client.
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The Research team at Intermap creates, maintains, and supports critical production systems and automated solutions enabling customers worldwide with fundamental remote-sensing, machine-learning, and Geomatics solutions and products on the foundation of high-resolution elevation data.
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Use MATLAB, Python or similar tools to develop signal processing and beamforming algorithms for underwater remote sensing applications, including but not limited to, array signal processing, adaptive methods, ambient noise modeling, acoustic communications, PNT and synthetic aperture methods.
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Assess utility of image processing routines and advanced algorithms operating on today’s baseline and emerging remote sensing systems. Experience with ground processing architectures and image processing algorithms for passive remote sensing systems.
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An image scientist focuses on Modeling, Simulation, & Analysis (MSA) works to model image sensing systems, utilizes those models to simulate data produced by the systems, and analyzes simulated results in comparison to desired data quality.
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Candidates with backgrounds in microwave system design and analysis, such as antenna systems, radio receiver architectures, radar or radiometer systems, wireless communication systems, or microwave remote sensing are strongly encouraged to apply.
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Experience with Line Of Sight Modeling and geolocation. Experience with signal processing, image processing, computer vision, or statistical analysis. Experience with Generic Linear Array Scanner (GLAS), Generic Framing Model (GFM), and Replacement Sensor Model (RSM.
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