Featured Opportunity

Join us for LLNL’s annual Women in Data Science (WiDS) datathon and conference. Held three weeks apart, these events are hybrid, free, and open to everyone. Registration links and other details are posted at data-science.llnl.gov/wids.

LLNL Datathon on Wednesday, February 19

• Register by February 12
• Hosted at the University of California Livermore Collaboration Center (UCLCC) and virtually
• Sponsored by the Data Science Institute; LLNL Computing; and the Office of Inclusion, Diversity, Equity, and Accountability
• The worldwide WiDS conference hosts a competitive datathon in which participants can learn more about data science and hone their skills. This one-day event provides an opportunity to collaborate, innovate, and investigate a challenging data science problem. The datathon is designed for data science enthusiasts who are discovering or building their data skills (beginner and intermediate levels). An LLNL data scientist will guide participants through the dataset and notebook.

WiDS Livermore conference on Wednesday, March 12

• Register by February 28
• Hosted at the University of California Livermore Collaboration Center (UCLCC) and virtually
• Sponsored by LLNL’s Data Science Institute; Computing Principal Directorate; and Office of Inclusion, Diversity, Equity, and Accountability
• This regional conference will include a tie-in with the datathon as well as keynote speakers, technical talks, career-focused panel discussions, speed mentoring, and a poster session.

This is the eighth year for WiDS Livermore, which is independently organized by LLNL to be part of the mission to increase participation of women in data science and to feature outstanding women doing outstanding work. Contact WiDS-Committee@llnl.gov with any questions.

The University of California (UC) System, in partnership with NNSA laboratories, is seeking proposals from UC researchers for collaborative projects that advance the frontiers of AI and Machine Learning science at scale. Our central goal is to bring together the intellectual power of the UC system, including 10 leading public research universities and 3 national laboratories, and develop scientific AI projects that benefit from computational scale while also harnessing the power of interdisciplinary AI and science and engineering research and expertise. These efforts – scaled up by a focus on both large AI models and cross-cutting teams – should operate seamlessly across multiple campuses while deeply integrating with national laboratories.

UC systemwide workshops amplify UC and National Lab collaboration As part of our UC National Lab Fees Research Program, UCRI funds systemwide workshops on target issues strategic to UC-National Lab collaboration. These workshops are key opportunities to interconnect researchers across the UC system and to generate stakes for impactful UC and National Lab collaborations.   In October and November, workshops were held on Artificial Intelligence (at UC Riverside) and on Community-Engaged Research for Clean Energy Solutions (at UC Berkeley and UC Irvine), each of which showcased robust, interdisciplinary, and multi-perspective explorations of these critical research areas.   Our final workshop of 2024, the University of California Initiative for Fusion Energy, will take place on December 10-11 at UC San Diego. Workshop participants, including fusion energy experts from 3 National Labs and at least 5 UC campuses, 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 participate in this workshop, please register by 11/29.

This 2-day workshop is designed to orient physics and engineering students to the opportunities and challenges in quantum computing with superconducting hardware. The workshop is jointly hosted by San Jose State University and Lawrence Livermore National Lab, and will feature research talks and tutorials by staff scientists at LLNL as well as hands-on training in controlling real quantum hardware. Students participating in the workshop will have access to LLNL’s innovative QuDIT testbed. Previous quantum computing experience or coursework is not required. 

The workshop will be held at LLNL on May 23-24, 2024. All sessions will be conducted in person; there is no option for remote partcipation.

The Livermore Center for Quantum Science (LCQS) offers students opportunities to engage in exciting learning experiences through three-month paid summer internships.

Interns participate in projects led by LLNL scientists in areas such as quantum algorithm development, quantum sensing, noise characterization for superconducting qubits, and ion trap design and testing.

LCQS interns:

• Work with scientists performing research in quantum computing and/or quantum sensing using experimental, theoretical, and computational tools.
• Form long-term connections with LLNL scientists who work in quantum information science.
• Become familiar with world-class laboratories and capabilities.
• Present their work through presentations and poster sessions.
• Attend laboratory tours, journal clubs, and regular group meetings.