Multi-Source Data Fusion Research Associate
Core
Develop multi-source data fusion algorithms, environmental/geospatial models, and digital twin/multi-agent simulations to support national security interests in GPS performance, remote sensing, and decision support.
Role type
Senior Research Associate (IC)
Builds
Data fusion systems, environmental suitability models, and digital twin simulations for object detection, tracking, and route prediction.
Domain
National Security / Geospatial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Multi-source data fusion, statistical estimation, machine learning, environmental/geospatial modeling, software development, scientific publishing
Preferred skills
Object detection and tracking, digital twin architectures, high-performance computing, GIS tools, Python/C++/Fortran, Linux/Windows development
Technologies
Python, C/C++, FORTRAN, Git, GitHub, AWS, LaTeX, GIS
Responsibilities
Develop multi-source data fusion algorithms; design experiments to gauge performance of tracking and prediction methods; implement software algorithms in a collaborative environment; present and publish research findings; provide technical leadership and identify new research directions.
Seniority
Senior, independent research & technical leadership