A New Program to Advance Fundamental Science

WATCHEP is a training program with the goal of developing a workforce of experts in computational high-energy physics. These experts are needed to help make the most of the complex experimental projects and high-volume datasets. They will be the "computing ambassadors" to the high-energy physics community.

Graduate student trainees from the partner universities will complete a tailored instructional curriculum and a supervised research project in a relevant topical area. Trainees are provided financial support during their training period in the program. We expect this program will contribute to the DOE workforce in high-energy physics on the various scientific frontiers.


Image credits: ATLAS collaboration, P. Marenfeld and NOAO/AURA/NSF

News and Posts

  • Extended due date for WATCHEP applications

    The due date for student applications has been extended to January 31, 2024. Please visit the “Apply” tab in the top menu for information and access to the application form. We are looking forward to your application.

  • Student applications are open for WATCHEP training program

    We are pleased to announce that the selection process for the 2024-2026 WATCHEP training cohort has started. The 2-year training program is intended to provide opportunities for students in computational high-energy physics from a group of six Western universities. Please visit the “Apply” tab in the top menu for information and access to the application form. All submissions received on or before November 20, 2023 will be considered for selection to the cohort starting on January 1, 2024 and ending on December 31, 2025.

  • High energy physicists gather at Princeton for computational training programs

    CoDaS-HEP 2023 summer school participants and instructors. Photo credit: Rick Soden, Princeton University

    CoDaS-HEP 2023 summer school participants and instructors. Photo credit: Rick Soden, Princeton University

  • Report on Summer School 2023 at Princeton University

    The inaugural cohort of WATCHEP students participated in the first computational HEP traineeship summer school, held July 24-28 at Princeton University. WATCHEP joined forces with the TAC-HEP and C2-THE-P2 training programs to provide an intense schedule of hands-on demos, coding jam exercises, and big picture R&D talks. Student trainees also presented lightning talks about their research projects.

  • WATCHEP 2023 Summer School at Princeton University

    The WATCHEP 2023 Summer School will be held July 24-28, 2023 at Princeton University as a joint event with the TAC-HEP and C2-THE-P2 training programs supported by DOE Office of High-Energy Physics. Students in the training program will follow lectures and gain experience with hands-on exercises with university and DOE lab mentors.

  • Announcing the first cohort of WATCHEP student trainees

    We are excited to announce the inaugural WATCHEP training cohort for 2023-2025. A total of six students were selected in a competitive process that took into account their proposed research, community engagement, initiative, and leadership. Read more about this year’s cohort in the “Trainees” tab in the top menu.

  • Student applications are open for WATCHEP training program

    We are pleased to announce that the selection process for the 2023-2025 WATCHEP training cohort has started. The 2-year training program is intended to provide opportunities for students in computational high-energy physics from a group of six Western universities. Please visit the “Apply” tab in the top menu for information and access to the application form. All submissions received before March 1, 2023 will be considered for selection to the cohort starting on April 1, 2023 and ending on March 30, 2025.

  • DOE funding for WATCHEP training program

    The U.S. Department of Energy Office of Science has announced that it will fund the Western Advanced Training for Computational High-Energy Physics (WATCHEP), one of three national programs providing training and research opportunities for the next generation of computational scientists and engineers. This workforce is key to enabling fundamental science discoveries with complex experimental projects and extremely large datasets.