Apply on Employer Site

University of Missouri-Saint Louis · 2 weeks ago

Post-Doctoral Associate in Remote Sensing Radar/LiDAR (One-Year Appointment, Renewable Based on Funding Availability)

United States

Full-time

Remote

Senior Level

The University of Missouri-St. Louis is inviting applications for a Post-Doctoral Associate in Remote Sensing (RADAR/LiDAR) within the UMSL Geospatial Collaborative. The role involves conducting advanced remote sensing research, collaborating with the National Geospatial-Intelligence Agency, and mentoring students in geospatial science projects.

EducationHigher EducationUniversities

No H1B

U.S. Citizen Only

Responsibilities

Conduct Advanced Remote Sensing Research: Lead and support original research projects involving RADAR and LiDAR data processing, analysis, and integration for terrain modeling, earth surface monitoring and mapping

Collaborative Research with NGA: Work closely with national geospatial intelligence (NGA) scientists and UMSL researchers to develop, test, and validate remote sensing algorithms, workflows, and data fusion techniques that align with NGA’s priorities

Data Analysis and Method Development: Process and analyze airborne and satellite-based radar and LiDAR datasets. Develop innovative approaches for 3D mapping, topographic modeling, change detection, and object classification using tools such as ENVI, ERDAS, ArcGIS, Python, MATLAB, or equivalent platforms

Dissemination of Findings: Publish research outcomes in peer-reviewed journals, contribute to NGA Tearline publications, and present findings at major scientific meetings such as AGU, IGARSS, ASPRS, and GEOINT

Mentorship and Engagement: Participate in UMSL Geospatial Collaborative research seminars and community engagement activities. Provide guidance to graduate and undergraduate students working on remote sensing and geospatial science projects

Qualification

RADAR data processingLiDAR data processingPython programmingMATLAB programmingGeospatial softwareResearch experienceCollaboration skillsCommunication skillsMentorship

Required

Education: Ph.D. in Remote Sensing, Geomatics, Geospatial Science, Geospatial Engineering, or a related field (completed by start date); ABD candidates with a scheduled dissertation defense before the appointment start date are also eligible

Technical Expertise: Proven proficiency in RADAR and/or LiDAR data processing and analysis, including experience with data calibration, feature extraction, and 3D modeling

Research Experience: Demonstrated record of scholarly productivity through peer-reviewed publications, conference presentations, or technical reports

Programming and Analysis Skills: Experience with Python, MATLAB, or R, and geospatial software such as ENVI, ERDAS, ArcGIS, or QGIS

Collaboration and Communication: Excellent written and verbal communication skills with the ability to work both independently and as part of interdisciplinary teams

Preferred

Experience applying RADAR interferometry (InSAR), LiDAR point cloud analysis, or multi-sensor data fusion for environmental, geological, or infrastructure studies

Familiarity with machine learning or AI-based approaches for remote sensing data interpretation

Background in geomatics, geodesy, photogrammetry, or 3D mapping

Prior experience collaborating with federal agencies (e.g., NGA, NASA, USGS) or defense-related geospatial projects

Experience in grant writing, proposal development, or leading research projects