Kbr, Inc.
Provides engineering, procurement, construction and technology solutions to government and industry worldwide.
Graduate Student Intern – Data Science & Remote Sensing
Develop and apply deep learning models for remote sensing geospatial data.
Job Highlights
About the Role
The intern will work at the intersection of satellite remote sensing and AI‑driven analytics, collaborating with domain experts in remote‑sensing physics while focusing on advanced machine‑learning techniques for geospatial applications. The role involves designing and implementing deep‑learning models, including custom convolutional neural networks and physics‑informed loss functions, and applying preprocessing methods to radiometrically calibrate geospatial datasets. • Develop custom CNN architectures for domain adaptation of satellite and UAV imagery. • Implement physics‑informed loss functions and leverage automatic differentiation in PyTorch or TensorFlow. • Preprocess geospatial datasets, including radiometric calibration and conversion of digital numbers to TOA reflectance. • Collaborate with remote‑sensing scientists to integrate domain constraints into AI models. • Write scientific code in Python (and optionally C++) for high‑performance computing tasks. • Apply linear algebra, calculus, and optimization techniques to model development. • Conduct independent research while contributing to multidisciplinary team efforts. • Maintain eligibility for a government security credential by meeting a three‑year U.S. residency requirement and passing background checks.
Key Responsibilities
- ▸cnn development
- ▸physics‑loss
- ▸data preprocessing
- ▸python coding
- ▸model optimization
- ▸research collaboration
What You Bring
Graduate Student Intern – Data Science & Remote Sensing – KBR is seeking a motivated graduate student to join the Earth Resources Observation and Science (EROS) Center. KBR delivers science, technology, and engineering solutions that support critical missions worldwide. Candidates must be proficient in Python (and optionally C++), experienced with PyTorch or TensorFlow, and possess a solid foundation in linear algebra, multivariable calculus, and optimization. Academic preparation should include coursework in deep learning, computer vision, physics‑informed neural networks, multispectral/hyperspectral remote sensing, and geospatial data formats such as GDAL. Applicants must have three years of continuous U.S. residency to obtain a government security credential and be able to undergo a background investigation for facility access.
Requirements
- ▸python
- ▸c++
- ▸pytorch
- ▸tensorflow
- ▸gdal
- ▸us residency
Benefits
KBR provides a competitive benefits package that may include 401(k) matching, medical, dental, vision, life insurance, flexible spending accounts, disability coverage, paid time off, and flexible work schedules, along with professional development opportunities. • Benefit from 401(k) match, health insurance, flexible spending accounts, paid time off, and flexible scheduling. • Access professional training and career‑advancement resources.
Work Environment
Office Full-Time