Graduate Student Intern - Space Remote Sensing and Data Science

Los Alamos National Laboratory; Los Alamos (NM); On-site; USD 36,000 - 48,000; Part time

Job summary

Los Alamos National Laboratory seeks a Graduate Research Assistant to work in the Space Remote Sensing and Data Science Group (ISR-6). The role involves collaborating with interdisciplinary teams on remote sensing, data science, image and signal processing, machine learning, and sensor data analysis.

You will contribute to developing and applying methods for collecting, processing, and interpreting data from space, airborne, ground-based, and laboratory remote-sensing systems.

Qualifications

• General experience in scientific computing, data analysis, or related fields.
• Interest in applying computational and analytical techniques to scientific challenges.

Responsibilities

• Develop and apply algorithms to process and analyze sensor data (images, spectra, time series).
• Use statistical, mathematical, or computational methods to address detection and characterization problems.
• Model sources, sensors, and measurement uncertainties.
• Analyze and interpret experimental or field-collected data.
• Contribute to design or calibration of sensing systems and instruments.
• Communicate research findings through reports, presentations, publications, and teamwork.

Skills

Scientific computing

Data analysis

Machine learning

Tools

Python

Job description

What You Will Do

This position is for a Graduate Research Assistant (GRA) in the Space Remote Sensing and Data Science Group (ISR-6) at Los Alamos National Laboratory. You will work closely with interdisciplinary teams on projects related to remote sensing, data science, image and signal processing, machine learning, and sensor data analysis. Responsibilities will be tailored to your background and interests, with opportunities to contribute to innovative research and development.

As a Graduate Research Assistant, you will be involved in advancing methods and technologies for collecting, processing, analyzing, and interpreting data from space, airborne, ground-based, and laboratory remote-sensing systems. Candidates should have broad technical skills and an interest in applying computational and analytical techniques to scientific challenges.

In this role, you may contribute to one or more of the following areas:

• Developing and applying algorithms to process and analyze sensor data (including images, spectra, time series, or other types)
• Using statistical, mathematical, or computational methods to address detection and characterization problems
• Modeling sources, sensors, and measurement uncertainties
• Analyzing and interpreting experimental or field-collected data
• Contributing to the design or calibration of sensing systems and instruments
• Communicating research findings through reports, presentations, publications, and teamwork

Duration of this position is at least one year, with the intent to support continued multi-year work.

What You Need

Minimum Job Requirements

• General experience in scientific computing, data analysis, or