University of Southern California

Research

DE-FOA-0002493 – Data-Intensive Scientific Machine Learning and Analysis

Slots:                                                     Slots have been granted for this call.

Internal Deadline:                             Contact ORIF if interested.

LOI:                                                        April 23, 2021, 5pm ET

External Deadline:                            May 27, 2021, 5pm ET

Award Type:                                       Cooperative Agreement

Anticipated Amount:                       Between $100,000 to $400,000 per year

Who May Serve as PI:                   Standard eligibility requirements.

Process for Limited Submissions: PIs must submit their application as a Limited Submission through the Office of Research Application Portal: https://research.usc.edu/usc-grants/.

Materials to submit include:

(1) Single Page Proposal Summary (0.5” margins; single-spaced; font type: Arial, Helvetica, or Georgia typeface; font size: 11 pt). Page limit includes references and illustrations. Pages that exceed the 1-page limit will be excluded from review.

(2) CV – (5 pages maximum)

Note: The portal requires information about the PIs and Co-PIs in addition to department and contact information, including the 10-digit USC ID#, Gender, and Ethnicity. Please have this material prepared before beginning this application.

PDF of Award: DE-FOA-0002493 Data Intensive Scientific Machine Learning and Analysis

Purpose:                                              The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in research applications to explore potentially high-impact approaches in the development and use of artificial intelligence (AI) and machine learning (ML) for scientific insights from massive data generated by simulation, experiments, and observations.

Budgetary Requirements:              Cost sharing is not required.

Visit our Institutionally Limited Submission webpage for more updates and other announcements.