Graduate Student Intern – Data Science & Remote Sensing

KELLOGG BROWN & ROOT PTY

Fully remote
Deep learning models for remote sensing
Custom convolutional neural networks (cnns)
Pytorch or tensorflow proficiency
Kellogg Brown & Root (KBR) is seeking a Graduate Student Intern specializing in Data Science and Remote Sensing. The role involves developing advanced machine learning models for satellite remote sensing applications and requires a strong background in deep learning and programming

Job Summary

  • Develop and implement deep learning models for remote sensing applications, with emphasis on designing custom Convolutional Neural Networks (CNNs).
  • Collaborate with domain experts to integrate physics-based constraints into AI models.
  • KBR 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.

Matching Summary

Match Score: 85

Kellogg Brown & Root (KBR) is seeking a Graduate Student Intern specializing in Data Science and Remote Sensing. The role involves developing advanced machine learning models for satellite remote sensing applications and requires a strong background in deep learning and programming.

Skills & Requirements

Must-have

  • Deep learning models for remote sensing
  • Custom Convolutional Neural Networks (CNNs)
  • PyTorch or TensorFlow proficiency
  • Python for scientific computing
  • Geospatial datasets preprocessing
  • Radiometric calibration techniques

Nice-to-have

  • Physics-based constraints in AI models
  • Independent work and team collaboration

Key Requirements

  • Three years of continuous residency in the US
  • Obtain and maintain a national agency check and background investigation

Work Rights

Three years of continuous residency in the US

Tailored Resume

Cover Letter