Graduate Student Intern – Data Science & Remote Sensing

Graduate Student Intern – Data Science & Remote Sensing

BELONG. CONNECT. GROW. with K .

At K , we deliver science, technology, and engineering solutions that help our customers accomplish their most critical missions. Join us at the Earth Resources Observation and Science (EROS) Center and help shape the future of Earth science data systems. As part of our mission‑driven team, you’ll contribute to projects that make a global impact, supporting research, innovation, and technology that empower scientists and decision‑makers worldwide.

We are seeking a highly motivated graduate student with a strong background in data science and deep learning to contribute to projects at the intersection of satellite remote sensing and AI‑driven analytics. The intern will collaborate with scientists at EROS who provide domain expertise in remote sensing physics, while the intern focuses on advanced machine learning techniques for geospatial applications.

• Develop and implement deep learning models for remote sensing applications, with emphasis on:
• Designing custom Convolutional Neural Networks (CNNs) for domain adaptation (e.g., transferring Landsat standards to UAS imagery).
• Writing custom loss functions and leveraging automatic differentiation in frameworks like PyTorch or Tensor Flow.
• Work with geospatial datasets and apply preprocessing techniques for radiometric calibration.
• Collaborate with domain experts to integrate physics‑based constraints into AI models.
• Understand converting raw digital numbers (DN) to Top‑of‑Atmosphere (TOA) reflectance and at‑sensor radiance.

• Deep Learning & AI Architectures:
  • Proficiency in PyTorch or Tensor Flow.
  • Experience with CNN design, optimization methods, and domain adaptation.
• Programming:
  • Strong coding skills in Python (and optionally C++) for scientific computing.
• Remote Sensing Fundamentals:
  • Familiarity with BRDF concepts, multispectral/hyperspectral data, and geospatial formats (e.g., GDAL).
• Mathematical Foundations:
  • Solid understanding of linear algebra, multivariable calculus, and optimization techniques.

Candidates should have completed coursework in the following areas:

• Artificial Intelligence:
  Deep Learning, Computer Vision, Physics‑Informed Neural Networks, Optimization Methods.
• Remote Sensing:
  Multispectral and Hyperspectral Remote Sensing.
• Geospatial Science:
  Geospatial data formats and tools (e.g., GDAL).
• Mathematics/Physics:
  Linear Algebra, Multi-variable Calculus, Electromagnetic Theory.
• Computer Science:
  Python or C++ for scientific computing.

• Prior experience with geospatial data analysis or remote sensing projects.
• Ability to work independently and collaborate effectively in a multidisciplinary team.

Three years of continuous residency in the US for issuance of a Government Security credential. The candidate must be able to obtain and maintain a national agency check and background investigation after hiring to obtain a badge for government facility access and user account. Experience and/or education in lieu of these qualifications will be reviewed for applicability.

K  offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.

Belong, Connect and Grow at K .

At K , we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together.

K  is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

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