Visiting Student - LCF - Patel, Om - 3.16.26.

Argonne National LaboratoryLemont, IL
1d

About The Position

This project focuses on developing and deploying virtual sensors within the NSF Sage cyberinfrastructure platform. The student will work with Sage testbed nodes to design and implement software-based sensors that process data from edge devices and generate higher-level observations for integration into the Sage system. The work will involve developing data pipelines, integrating sensor outputs with Sage services, and testing deployments on distributed edge nodes. The project will also explore integration with high performance computing (HPC) resources to enable large-scale data processing, model execution, and advanced analytics driven by data collected from the Sage edge infrastructure. The goal is to expand the Sage sensing ecosystem by enabling new forms of virtual sensing that combine edge computing with HPC capabilities to support real-time scientific and urban-scale applications. Education and Experience Requirements The entirety of the appointment must be conducted within the United States. Must be 18 years or older at the time the appointment begins. 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.

Requirements

  • The entirety of the appointment must be conducted within the United States.
  • Must be 18 years or older at the time the appointment begins.
  • Currently enrolled in undergraduate or graduate studies at an accredited institution.
  • Graduated from an accredited institution within the past 3 months
  • Actively enrolled in a graduate program at an accredited institution.

Responsibilities

  • design and implement software-based sensors
  • develop data pipelines
  • integrating sensor outputs with Sage services
  • testing deployments on distributed edge nodes
  • explore integration with high performance computing (HPC) resources

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What This Job Offers

Job Type

Full-time

Career Level

Intern

Education Level

No Education Listed

Number of Employees

1,001-5,000 employees

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