DOE: Randomized Algorithms for Combinatorial Scientific Computing
Opens Jan 10 2019 12:00 AM (EST)
Deadline Apr 29 2022 12:00 PM (EDT)
Description

DOE: Randomized Algorithms for Combinatorial Scientific Computing

The Office of the Vice President for Research (OVPR) is pleased to announce this limited submission funding opportunity/award.  Limited submission programs allow only a select number of applicants from each institution.  In order to determine which PIs will be selected as the official applicants from UConn/UConn Health, an OVPR internal competition may be necessary (full process is described at our website).  

All PIs who wish to be considered for this opportunity must submit a notification of intent to submit form through the UConn Quest Portal by the due date listed below.  PIs must be selected and approved by the OVPR to be eligible to submit to this sponsor. 

Program Information/RFP: https://science.osti.gov/grants/FOAs/-/media/grants/pdf/foas/2022/SC_FOA_0002722.pdf

Quest Portal Program Link: https://quest.uconn.edu/prog/DOEAlgorithms

Keywords: machine learning, artificial intelligence, computing

Award Details: between $400,000 and $800,000 per year for 3 years

Number of UConn Applicants: 2 from Storrs/Regional Campuses, 2 from UConn Health 

Internal Notification of Intent Deadline: 4/29/2022

Internal Pre-proposal (if necessary) Deadline: TBD

Sponsor Letter of Intent Deadline: 5/19/2022

Sponsor Full Proposal Deadline:  6/30/2022

Additional information:  Due to the quick turnaround time, if more applications are received than there are available submission slots, researchers will be contacted with further information.

For more information, please contact the Office of the Vice President for Research at research@uconn.edu 

Follow UConn Research on Twitter & LinkedIn.




Submissions to this program are made via a third-party software application, SurveyMonkey Apply. The terms of use and privacy statements for this software apply to your use of it and to the information you provide in your application.  Before proceeding with your submission, please review their terms and privacy statements linked below.

DOE: Randomized Algorithms for Combinatorial Scientific Computing


DOE: Randomized Algorithms for Combinatorial Scientific Computing

The Office of the Vice President for Research (OVPR) is pleased to announce this limited submission funding opportunity/award.  Limited submission programs allow only a select number of applicants from each institution.  In order to determine which PIs will be selected as the official applicants from UConn/UConn Health, an OVPR internal competition may be necessary (full process is described at our website).  

All PIs who wish to be considered for this opportunity must submit a notification of intent to submit form through the UConn Quest Portal by the due date listed below.  PIs must be selected and approved by the OVPR to be eligible to submit to this sponsor. 

Program Information/RFP: https://science.osti.gov/grants/FOAs/-/media/grants/pdf/foas/2022/SC_FOA_0002722.pdf

Quest Portal Program Link: https://quest.uconn.edu/prog/DOEAlgorithms

Keywords: machine learning, artificial intelligence, computing

Award Details: between $400,000 and $800,000 per year for 3 years

Number of UConn Applicants: 2 from Storrs/Regional Campuses, 2 from UConn Health 

Internal Notification of Intent Deadline: 4/29/2022

Internal Pre-proposal (if necessary) Deadline: TBD

Sponsor Letter of Intent Deadline: 5/19/2022

Sponsor Full Proposal Deadline:  6/30/2022

Additional information:  Due to the quick turnaround time, if more applications are received than there are available submission slots, researchers will be contacted with further information.

For more information, please contact the Office of the Vice President for Research at research@uconn.edu 

Follow UConn Research on Twitter & LinkedIn.




Submissions to this program are made via a third-party software application, SurveyMonkey Apply. The terms of use and privacy statements for this software apply to your use of it and to the information you provide in your application.  Before proceeding with your submission, please review their terms and privacy statements linked below.

Log in to apply
Opens
Jan 10 2019 12:00 AM (EST)
Deadline
Apr 29 2022 12:00 PM (EDT)