NSF Accelerated AI Algorithms for Data-Driven Discovery Institute Postbaccalaureate Fellowship Program

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Academic Level:
Post-Baccalaureate

Description:
The Accelerated AI Algorithms for Data-Driven Discovery (A3D3) Institute funded by the National Science Foundation, under the Harnessing the Data Revolution (HDR) program, is seeking postbaccalaureate research fellows to join our interdisciplinary teams of scientists and engineers to develop and deploy artificial intelligence (AI) to accelerate science discoveries in particle physics, astrophysics, biology, and neuroscience. We strongly encourage women and individuals from traditionally underrepresented groups in STEM, such as African American/Black, Chicano/Latino, Native American/Alaska Native, Native Hawaiin/Pacific Islander, and Filipino, to apply.

A3D3 is a multi-disciplinary and geographically distributed entity with the primary mission to lead a paradigm shift in the application of real-time artificial intelligence (AI) at scale to advance scientific knowledge and accelerate discovery. The Institute team reflects a collaborative effort of Principal Investigators from Caltech, Duke University, MIT, Purdue University, University of California San Diego, University of Illinois at Urbana-Champaign, University of Minnesota, University of Washington, University of Wisconsin-Madison, and Georgia Institute of Technology.

Postbac fellows will be assigned to one of the projects listed on our website, at one of the hosting institutions based on preferences and availability. Postbac fellows will also have access to professional development opportunities including career guidance and graduate school preparation.

The appointment is for a one-year term with a nominal start date of June, although some flexibility will be allowed to potentially start in July or August. This is a full-time, salaried position with benefits. Please visit the website to learn more about the program and how to apply!


Application Deadline: 2/16/2025

Participating Institution(s):
This program has 9 participating institutions.

Program Materials:

This Program can be Described by:

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This program is funded by:
National Science Foundation (NSF)


Page last updated 10/30/2024
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