Graduate Student Intern - Space Remote Sensing and Data Science

Summary

Los Alamos National Laboratory is seeking a Graduate Student Intern to support interdisciplinary research in space remote sensing and data science. The role involves developing algorithms, applying computational and analytical methods, analyzing sensor and experimental data, and contributing to sensing system design, calibration, and research communication.

Responsibilities

• 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

Skills

• General experience in scientific computing, data analysis, or algorithm development
• Ability to work collaboratively with diverse teams and communicate research results effectively
• Demonstrated strong analytical problem-solving abilities to overcome technical challenges in remote sensing and data science challenges
• Must be enrolled (6 semester credit hours or full-time equivalent) in an accredited, degree-granting graduate level program (or international equivalent)
• Must currently have and maintain a cumulative GPA of at least 3.2 on a 4.0 scale (or equivalent)
• Working familiarity with one or more areas such as image/signal processing, machine learning, statistical analysis, sensor systems, or scientific software
• Experience with programming languages or scientific computing tools
• Experience with experimental or field research, instrumentation, or data collection

Qualifications

Must Haves

• General experience in scientific computing, data analysis, or algorithm development
• Ability to work collaboratively with diverse teams and communicate research results effectively
• Demonstrated strong analytical problem-solving abilities to overcome technical challenges in remote sensing and data science challenges
• Must be enrolled (6 semester credit hours or full-time equivalent) in an accredited, degree-granting graduate level program (or international equivalent)
• Must currently have and maintain a cumulative GPA of at least 3.2 on a 4.0 scale (or equivalent)

Nice to Haves

• Working familiarity with one or more areas such as image/signal processing, machine learning, statistical analysis, sensor systems, or scientific software
• Experience with programming languages or scientific computing tools
• Experience with experimental or field research, instrumentation, or data collection

Benefits

• PPO or High Deductible medical insurance with the same large nationwide network
• Dental and vision insurance
• Free basic life and disability insurance
• Paid childbirth and parental leave
• Award-winning 401(k) (6% matching plus 3.5% annually)
• Learning opportunities and tuition assistance
• Flexible schedules and time off (PTO and holidays)
• Onsite gyms and wellness programs
• Extensive relocation packages (outside a 50 mile radius)
• This position is a remote position