Request for Information for the Frontier in AI for Science, Security, and Technology (FASST) Initiative is due November 11. 

SUMMARY:

The Department of Energy’s Office of Critical and Emerging Technologies (CET) seeks public comment to inform how DOE and its 17 national laboratories can leverage existing assets to provide a national AI capability for the public interest.

DATES:

Responses to the RFI are requested by November 11, 2024.

ADDRESSES:

Interested parties may submit comments electronically to FASST@hq.doe.gov and include “FASST RFI” in the subject line of the email.

Calling California Grad Students & Postdocs:

Apply for CCST’s Science Translators Showcase!

The chosen “Science Translators” will participate in a series of virtual policy and communication trainings from CCST and get a chance to explain their research to legislative staffers, agency managers, and senior policy leaders during a networking event at the California State Capitol.

CCST seeks candidates who are eager to learn and practice science communication as well as convey the relevance of their research to public policy questions. The training series and culminating Showcase offer graduate students and postdocs the opportunity to cultivate the skills necessary for science policy advising, meet other innovative researchers, and proudly represent their home institution.

Details:

• Applications due: Wed., October 30 by 11:59p (PT). 
• Who can apply? Read application criteria and FAQ.

Ready to go? Start your online application.

Apply to be a 2025 CCST Science Translator

Testimonials:           Seeking a career in science policy? Apply to be a CCST Science & Technology Policy Fellow. If you’re looking for a more in-depth opportunity to engage in science policy, consider applying for our CCST Science & Technology Policy Fellowship. Applications for the fellowship open December 1st.     About CCST’s Science Translators Showcase: Developed by Ben Young Landis, CCST debuted its “Science Translators Showcase” event series in February 2018 at the California State Capitol during CCST’s inaugural Science & Technology Week — providing graduate students and postdocs from California campuses an important professional development opportunity.     Stay in touch with news and events from CCST: Sign up for our monthly CCST Spotlight newsletter.     Are you in the research or policy space? Help us find the best experts (yourself included!): Sign up to receive our Calls for Expertise.   Follow @CCSTorg       Follow @CCSTfellows               The California Council on Science and Technology is a nonpartisan, nonprofit organization established via the California State Legislature — making California’s policies stronger with science and technology since 1988. We engage leading experts in science and technology to advise State policymakers — ensuring that California policy is strengthened and informed by scientific knowledge, research, and innovation.

We are excited to invite you to workshop #2 of the Community-Engaged Research for Clean Energy Solutions (CERCES) Workshop Series:

Date: November 20, 2024, Wednesday

Time: 8:30 am – 4:30 pm

Location: UC Irvine, ISEB Colloquium 1200

Building on the success of workshop #1 at UC Berkeley, workshop #2 at UC Irvine features sessions on clean hydrogen energy systems, climate resilient electricity grids, and more!

Outcomes from the workshop series will inform a near-future request for proposals to come from the UC National Laboratory Fees Research Program.

Faculty, postdocs, graduate students, and research scientists are invited. In person attendance is limited but encouraged. A remote participation option is available.

Please RSVP by November 8.

Please contact workshop organizer Helen Lee (helen.lee@uci.edu) with any questions.

Thank you so much!

–Planning Committee of the CERCES Workshop Series

Additional Information:

The CERCES Workshop Series is a two-part workshop series on research advancing clean energy solutions in coordination with communities, to include their goals, priorities, and needs. The workshops are aimed at fostering collaboration among University of California researchers and colleagues at Los Alamos (LANL), Lawrence Livermore (LLNL), and Lawrence Berkeley (LBNL) National Laboratories in this field. The workshops are organized by representatives from UCI, UC Berkeley, UC Davis, UC Merced, UCR, UCSB, UCSD, LANL, LBNL, and LLNL.

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.