Imaging Processing Scientist

Science Systems & Applications•Greenbelt, MD

3h•$140,000 - $170,000•Onsite

About The Position

Science Systems and Applications, Inc. (SSAI) is seeking an experienced Image Processing Scientist to operationalize satellite-based image processing systems through multi-sensor data. This role involves developing and implementing Satellite Derived Bathymetry (SDB) products using various imagery sources, methods, and tools, including commercial and Landsat data. The scientist will also conduct verification and field data collection for SDB products, harmonize and integrate multi-sensor satellite imagery, and perform radiometric, atmospheric, spectral, and geometric image corrections and calibrations. A key aspect of the role is designing and deploying large-scale end-to-end image processing workflows and automation solutions, analyzing workflow outputs, and generating operational environmental monitoring products. The position also includes researching and developing innovative methods for satellite data applications, applying expertise in electro-optical satellite systems, sensor characterization, and imagery validation procedures, and conducting commercial satellite data analysis to support industry and stakeholder requirements. Contribution to proposals, funding efforts, technical documentation, publications, and conference presentations is also expected.

Requirements

PHD in technical field related to Remote Sensing.
Experience over 25 years.
In-depth knowledge of remote sensing, physical geography/ecology, with image analysis/interpretation/processing and programming skills.
Working in a teamwork environment and being able to take direction/feedback from multiple people with effective communication of technical information, both written and oral is required.
Ability to develop, implement, and optimize complex image processing algorithms.
Skills in designing and deploying large-scale automated workflows across multiple computing environments.
Competency in machine learning and deep learning framework implementation.
Skills in conducting independent research and developing innovative methodologies.
Ability to write high-impact peer-reviewed publications and technical documentation.
Proficiency in developing compelling figures, graphics, and visualizations for proposals and publications.
U.S. Citizenship or Permanent Residency required.

Nice To Haves

Prior experience preparing and presenting to a technical audience.
Proficiency in Python, R, and shell scripting for geospatial data analysis

Responsibilities

Develop and implement Satellite Derived Bathymetry (SDB) products using various imagery sources, methods, and tools.
Conduct verification and field data collection for SDB products.
Harmonize and integrate multi-sensor satellite imagery with varying characteristics and resolutions.
Perform radiometric, atmospheric, spectral, and geometric image corrections and calibrations.
Design and deploy large-scale end-to-end image processing workflows and automation solutions.
Analyze workflow outputs and generate operational environmental monitoring products from satellite data.
Research and develop innovative methods for satellite data applications and emerging missions.
Apply expertise in electro-optical satellite systems, sensor characterization, and imagery validation procedures.
Conduct commercial satellite data analysis while supporting industry and stakeholder requirements.
Contribute to proposals, funding efforts, technical documentation, publications, and conference presentations.