Environmental Data Science and Imagery Analysis
Graduate FEllowship
The mission of the Department of Energy, Office of Environmental Management’s (DOE-EM) University Programs creates and supports a sustainable career pathway that prepares a workforce of talented students to make immediate and significant contributions to DOE-EM. To achieve this mission, EM University Programs develop strategic partnerships between colleges and universities, investing in student enrichment programs, curriculum development, research efforts, and internship and post-graduate opportunities.
The Graduate Fellow will receive training in targeted technical areas outlined in various DOE-EM scope job responsibilities. The 13-month salaried fellowship will offer specialized training, leadership and professional development. Completion of this fellowship will provide hands-on and field experiences that may lead to potential career opportunities within the DOE workforce complex.
Position Summary:
This fellowship supports the U.S. Department of Energy’s Office of Environmental Management (DOE-EM) mission. The project advances this mission by developing and applying machine learning (ML) and imagery analysis techniques to detect, locate, and characterize legacy features of concern at former industrial and energy sites. The work utilizes aerial and satellite imagery in combination with geospatial and environmental datasets to enhance DOE-EM’s capabilities in site monitoring, environmental assessment, and long-term stewardship. Key activities include training and deploying ML models for object detection, image segmentation, and geospatial pattern recognition; acquiring and preprocessing remote sensing data; and integrating outputs with historical site records and environmental datasets to improve site characterization and data-informed decision-making.
Minimum Qualifications:
- The successful candidate must be a US Citizen
- Must have graduated from or enrolled in an MSI
- Must be eligible for security clearance based on position requirements
- Enrolled in a graduate or have graduated at the time of application and have a current cumulative GPA of 3.0 on a 4.0 scale.
Desired Skills: Computer vision (object detection, image segmentation, feature extraction), Remote sensing data processing (aerial and satellite imagery, hyperspectral data), Geospatial pattern recognition and spatial modeling, spatial data visualization, Data integration and fusion (combining imagery, geospatial, and environmental datasets), Programming and tools: Python, PyTorch, scikit-learn, OpenCV.
Security Clearance Information
This position will require selected candidates to be able to obtain a DOE Security Clearance.
