Remote Sensing Research Scientist

Caltech is seeking a Remote Sensing Research Scientist to lead the Bruce Murray Laboratory for Planetary Visualization. The role involves facilitating remote sensing data use in Earth and Planetary Science, managing software and hardware for image processing and visualization, and collaborating with faculty and students. Candidates should have an MS or PhD in a relevant field, experience with advanced image processing, and coding skills in Python or C-languages.
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Job Summary

The Division of Geological and Planetary Sciences and Resnick Sustainability Institute at Caltech seeks an experienced Remote Sensing Research Scientist to run the Bruce Murray Laboratory for Planetary Visualization. The Murray Lab supports the use of remote sensing in teaching and research in Earth and Planetary Science. It produces and curates data sets and image processing tools to bring geospatial and three dimensional information essential for geosciences into the hands of students and researchers.
Essential Job Duties
• Work with multiple faculty from various disciplines in Earth and Planetary Science to facilitate the use of remote sensing data (e.g., optical, radar from satellite or UAVs) for teaching and research.
• Manage and develop software to process remote sensing images (radiometry, photogrammetry).
• Manage hardware for processing and visualization in 3D.
• Independently develop methods and work with faculty, students, and academic and industry partners to successfully complete projects.
• Other duties as assigned.
Basic Qualifications
• MS or PhD in remote sensing, computer science, or related discipline.
• Demonstrated experience in advanced image and point-cloud processing: 3D photogrammetry, co-registration and orthorectification, sub-pixel change detection, topographic analyses, and data visualization.
• Application of latest developments and algorithms from computer vision and machine learning to spatial data analyses in geosciences.
• Experience working with satellite, aerial, and drone-based datasets such as multi-band vis/near-lR images, stereo data, LiDAR, RADAR, and spectroscopic datasets and their processing/correction.
• Familiarity with data wrangling and database management of multiple remote sensing data types, including planetary missions.
• Skilled coding in languages such as Python and/or C-languages; experience with industry remote sensing software packages such as ARC GIS and their application to basic mapping and environmental impact assessment.
• Demonstrated ability to work independently with minimal supervision.
• Ability to work with students in teaching advanced processing techniques.
• Ability to work with other campus entities or external groups on relevant issues external to Murray Lab (i.e. network speeds for data transfer, data sharing with off-campus facilities, interactive data analysis involving collaborations with researchers at off-campus facilities).
Required Documents
• Resume
• Cover Letter