Inside Higher Ed · 1 week ago
Assistant Research Scientist in UAV Remote Sensing and Geospatial AI
United States
Full-time
Remote
Mid, Senior LevelThe University of Georgia is a prestigious institution known for its commitment to higher education and research. They are seeking an Assistant Research Scientist to develop advanced remote sensing techniques and supervise a team of students in a funded project focused on terrain awareness systems.
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Responsibilities
Develop advanced remote sensing data fusion and analytics methods using multi-modal and multi-sensor data streams (UAVs, CubeSats, and other Earth observation satellites) for continual terrain awareness
Work with a large team of undergraduate and graduate students on a project to design, develop, and demonstrate a robust terrain awareness system from multiple high-resolution satellite and UAV data sources using photogrammetric theory, Structure from Motion (SfM), and Neural Radiance Field (NeRF) techniques, and advanced data analytics models (DNN, SLAM, feature extraction, pose estimation)
Test and apply the terrain awareness system to a few target geographies (Coastal, Arctic, Tropical, and Desert) used throughout the larger project
Supervise undergraduate students’ research and oversee the day-to-day activities of the project
Prepare monthly and annual reports for the funding agency
Integrate models with onboard hardware (embedded GPUs, edge computing devices) and evaluate inference performance under field conditions
Publish research results in peer-reviewed outlets and present findings at technical conferences
Collaborate with a multidisciplinary team of faculty, students, and external partners to obtain extramural funding
Participate in professional development opportunities in teaching and grant writing through on-campus teaching workshops
Qualification
Required
PhD degree in Geography (remote sensing, photogrammetry, GeoAI), Earth Science, Computer Science, Engineering, or other related fields
Strong publication record and proven abilities to conduct related research projects and to work as part of a scientific team
Familiarity with high-level satellite image processing and photogrammetric techniques, including object detection, feature matching, bundle adjustment, SfM, SLAM, visual odometry, pose estimation, programming, deep learning, and handling large datasets
Strong written and verbal communication skills
Preferred
Familiarity with mainstream deep learning frameworks (e.g., PyTorch, TensorFlow) and photogrammetric and visualization tools (e.g., Agisoft Metashape or Blender) is welcome
Benefits
Retirement and health benefits
Company
Inside Higher Ed
Inside Higher Ed is the online source for news, opinion, and jobs related to higher education.
Founded in 2004
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
unknown2022-01-10Acquired
2006-08-31Series Unknown
Leadership Team
Stephanie Shweiki
Director, Foundation Partnerships
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