SIP - EVS - Hayrapetyan, Mher - 2.26.26.

Argonne National Laboratory • Lemont, IL

4h

About The Position

The student will participate in a structured training experience focused on applying AI/ML techniques to atmospheric lidar datasets from the DOE ARM user facility. Using representative MicroPulse Lidar (MPL) time–height backscatter and depolarization observations, the student will learn how aerosol layers such as dust are identified and how multi-instrument datasets provide environmental context. Under mentorship, they will explore machine learning workflows for classifying aerosol layers and evaluating model performance, with emphasis on data preprocessing, interpretation, and uncertainty. The goal is to provide hands-on workforce development in atmospheric remote sensing, scientific programming, and applied AI for Earth system observations. Education and Experience Requirements The entirety of the appointment must be conducted within the United States. Applicants must be: o Currently enrolled in undergraduate or graduate studies at an accredited institution. o Graduated from an accredited institution within the past 3 months; or o Actively enrolled in a graduate program at an accredited institution. Must be 18 years or older at the time the appointment begins. Must possess a cumulative GPA of 3.0 on a 4.0 scale. Must be a U.S. citizen or Legal Permanent Resident at the time of application. If accepting an offer, candidates may be required to complete pre-employment drug testing based on appointment length. All students remain subject to applicable drug testing policies.

Requirements

• Currently enrolled in undergraduate or graduate studies at an accredited institution.
• Graduated from an accredited institution within the past 3 months; or
• Actively enrolled in a graduate program at an accredited institution.
• Must be 18 years or older at the time the appointment begins.
• Must possess a cumulative GPA of 3.0 on a 4.0 scale.
• Must be a U.S. citizen or Legal Permanent Resident at the time of application.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed