DOE CSGF - MCS - Gersey, Julia - 4.6.26.

Argonne National Laboratory • Lemont, IL

2d

About The Position

New methods and instruments facilitate exploratory science based on long-term time series measurements, along with multidimensional data products, often produced by the fusion of data from multiple sensors, possibly of disparate types. Artificial intelligence can be trained on multimodal data sets, allowing them to learn to recognize patterns and make predictions based on these multiple sources of information. We will explore multimodal models. AI models are being created and shared by researchers and industry, thus the project will initially evaluate available time-series and multimodal models -- understanding their accuracy, computation resource needs (can they run at the edge?), and their abilities with multiple data streams. Then we will decide to either 1) develop a new multimodal model for edge applications, or, 2) refine existing model(s), or, 3) build an ensemble model. We will evaluate the selected model on real data (from various sources).

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees