Featured Opportunity

WASHINGTON, DC – College and university faculty at emerging research institutions are invited to apply to collaborate with national laboratory scientific research staff on research projects of mutual interest, the Department of Energy (DOE) Office of Science announced today.

Extensive support during the application process is available, as well as a summer internship fair in November sponsored by the Office of Workforce Development for Teachers and Scientists (WDTS) and the Oak Ridge Institute for Science and Education.

WASHINGTON, DC – College and university faculty at emerging research institutions are invited to apply to collaborate with national laboratory scientific research staff on research projects of mutual interest, the Department of Energy (DOE) Office of Science announced today.

Extensive support during the application process is available, as well as a summer internship fair in November sponsored by the Office of Workforce Development for Teachers and Scientists (WDTS) and the Oak Ridge Institute for Science and Education.

You’ll solve an exciting problem in space security! Participants in the 2025 Data Science Challenge will work on exciting problems in ground-based optical sensing, which impact important astronomy and space domain awareness results. Ground-based optical systems (e.g., telescopes and sensors) are used to understand what our universe is made of (through taking images of stars and galaxies) and for space traffic management (through tracking satellites to understand collision risk). However, the precision and accuracy of measurements from these images relies on telescope and sensor performance, which quickly become computationally expensive. This year’s Challenge will explore techniques in image classification and parameter prediction to understand data from real images of stars and simulated images of satellites.

December 10-11, 2024: San Diego Supercomputer Center, UC San Diego

The University of California Initiative for Fusion Energy workshop aims to facilitate opportunities for new partnerships, collaborations, and discussions among three national laboratories scientists and UC faculty, research scientists, postdoctoral scholars, and graduate students on cutting edge science and technology of fusion energy. The conference organizers represent fusion energy expertise from three national laboratories (Lawrence Livermore National Laboratory, Los Alamos National Laboratory and Lawrence Berkeley National Laboratory) and at least five UC campuses (UC San Diego, UC Berkeley, UC Irvine, UC Los Angeles, and UC Santa Cruz). The workshop will address important research questions and engineering and design challenges necessary for fusion energy to transition from the laboratory to a commercially viable power plant.

To address and solve these challenges, register here to join the workshop, either in-person or virtually.

More Detailshttps://u-clifeworkshop.ucsd.edu/home

Wednesday, October 16, 2024: UC Riverside 

The University of California (UC) system, in partnership with the Los Alamos and Lawrence Livermore National Laboratories, is seeking proposals from University of California researchers for collaborative projects that advance the frontiers of Artificial Intelligence (AI) and Machine Learning (ML) at scale.

The central goal is to develop scientific AI systems that benefit from computational scale while also harnessing the power of interdisciplinary AI and science expertise. By building robust, interdisciplinary teams, we aim to leverage novel AI techniques, computational resources, and domain expertise to develop scalable solutions that significantly advance key application areas, including Multiphysics Applications, Biological Systems, and Materials Discovery.

Registration is now closed. 

The U.S. Department of Energy’s (DOE) Office of Critical & Emerging Technologies (CET) released a Request for Information (RFI)

to seek public input on DOE’s Frontiers in AI for Science, Security, and Technology (FASST) initiative. The FASST initiative intends to build the world’s most powerful integrated scientific AI models for scientific discovery, applied energy deployment, and national security applications. The RFI seeks public input to inform how DOE can leverage its existing assets at its 17 national labs and partner with external organizations to support the FASST initiative.