2023 LLNL Early Career UC Faculty Initiative

The Weapons and Complex Integration, Directorate of the Lawrence Livermore National Laboratory, and the UC National Laboratories at the University of California, Office of President (UCOP) are jointly inviting applications for the LLNL Early Career UC Faculty Initiative.

The winning proposal is planned to commence funding in summer 2023 and is focused on supporting one untenured junior faculty in the UC system for this initiative cycle. The technical topic for this call is on artificial intelligence and machine learning (AI/ML), with specific details centering on overlapping interests between the UC faculty and LLNL’s programs and mission. The initiative is intended to develop next-generation UC academic leadership with strong and enduring LLNL and national laboratory connections.

Please click here to view the original announcement. 

Go to Application Homepage

Award Amount and Details

Award Details

Initiative to fund untenured UC tenure-track faculty up to $1M over a 5-year period. The fund is structured to allow for faculty to build a research group, including undergraduates, graduate students, and postdoctoral fellows.

Deadlines and Date Information

Due Date
2023-02-10
- Expression of interest submission deadline (see template and webform): February 10, 2023  
- Invitation to submit full proposals: March 1, 2023  
- Proposal submission deadline (see template and webform): April 15, 2023  
- Recipient announcement: July 2023  

Eligibility Information

Who's Eligible
Academic appointees
Eligibility Details

To be eligible for the initiative, a researcher must be an untenured, tenure-track faculty member at one of the ten University of California campuses. 

Information Source
Information identified by Office of Research & Creative Activities staff

Administering Unit
University of California
Funding Type
Research
Changed
January 25, 2023
Important Note These opportunities have been collated for the benefit of the campus community, but in all cases viewers should refer to the pages of the hosting unit for the most current/accurate information.