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Master’s Degree (MS) in Computer Science, Geography, Natural Resources or Wildlife Biology with emphasis in GIS and Remote Sensing or in a closely related field. Bachelor’s degree from an accredited college or university with major course work in Information Technology, Computer Science, Geographic Information Systems, Remote Sensing, Wildlife Management, Wildlife Ecology, Geography or a closely related field.
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Experience in photogrammetry, remote sensing, image science, information sciences, geographic information systems, geomatics, or related fields. Bachelor's degree or higher in Computer Science, Information Technology, Management Information Systems, or related STEM degree program, or equivalent Senior-Level systems Integrator work experience, and 12+ years work experience.
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The Monitoring Systems and Technology Intern Center (MSTIC) program is seeking outstanding graduate students majoring in Aerospace Engineering, Computer Engineering, Computer Science, Electrical Engineering, Geophysics, Materials Science, Mathematics, Mechanical Engineering, Optical Engineering, Physics, Seismology, Nuclear Engineering, Systems Engineering, or related fields of study.
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Demonstrated expertise with photogrammetry, remote sensing, image science, information sciences, geographic information systems, geomatics, or related fields. Master's degree or higher in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree.
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Working with a faculty adviser, the postdoctoral fellow will conduct specialized research in one or more areas of Atmospheric Science, including atmospheric chemistry; climate and atmosphere-ocean dynamics; cloud microphysics, severe storms, and mesoscale meteorology; data assimilation, machine learning, and causal discovery; education and human resources; global biogeochemical cycles and ecosystems; and radiation and remote sensing.
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6+ years of work experience, preferably in the autonomous vehicle, robotics, or remote sensing fields. Bachelor's Degree, or higher-level degree, in Computer Science, Engineering, or related quantitative field that demonstrates knowledge of AI, machine learning, optimization, random processes, sensor signal processing, or mathematical modeling.
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Our portfolio consists of research programs in and related to the following application areas: Intelligence, Surveillance, and Reconnaissance (ISR); Undersea Warfare; Atmospheric Optics; Tactical Imaging, e.g. Degraded Visual Environments (DVE); Automatic Target Recognition; Intelligence Processing, Exploitation, and Dissemination (PED); Free-space Optical Communications; Space Situational Awareness (SSA); Tagging, Tracking, and Locating (TTL); LIDAR; Remote Sensing; etc.
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Ph. D. in Computer Science, Marine Science, GIS, Remote Sensing, or a related field, and a minimum of 4 years of directly related experience; or a MS/MA plus a minimum of 8 years of directly related experience.
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Demonstrated expertise in photogrammetry, remote sensing, image science, information sciences, geographic information systems, geomatics, or related fields. Master's degree in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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Desired: Master’s degree or higher in Systems Engineering or in a related technical or scientific fields such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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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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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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Successful candidates will have a BS, MS, or PhD degree in Computer Science, Computer Engineering, Electrical Engineering or similar technical field with a focus in embedded digital signal processing.
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The Center for Southeastern Tropical Advanced Remote Sensing (CSTARS) at the University of Miami Rosenstiel School of Marine, Atmospheric & Earth Science is seeking a Software Developer to.
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Relevant industry experience combined with a bachelor's degree or higher in Computer Science, Engineering or other related fields such as Photogrammetry/Remote Sensing, GIS, Geo-Science, or Geomatics.
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