Computational and Data Science Training for High Energy Physics

The fourth school on tools, techniques and methods for Computational and Data Science for High Energy Physics (CoDaS-HEP) was originally planned to take place on 27-31 July, 2020, at Princeton University. However due to COVID-19 restrictions we unfortunately cannot organize the in-person event as planned. We have thus decided to postponse the 4th edition until summer, 2021.

Advanced software is a critical ingredient to scientific research. Training young researchers in the latest tools and techniques is an essential part of developing the skills required for a successful career both in research and in industry.

The CoDaS-HEP school aims to provide a broad introduction to these critical skills as well as an overview of applications High Energy Physics. Specific topics to be covered at the school include:

  • Parallel Programming
  • Big Data Tools and Techniques
  • Machine Learning - Technology and Methods
  • Practical skills: performance evaluation, use of git for version control

The program includes both lectures and practical hands-on exercises.

The school offers a limited number of young researchers an opportunity to learn these skills from experienced scientists and instructors. Successful applicants will receive lodging and some level of travel support to attend the school. Both Ph.D. students and postdoctoral researchers are encouraged to apply. Financial support for participants will be limited to those associated to U.S. academic institutions.

Please watch for announcements regarding applications for the postponed 4th edition of the school to take place in summer, 2021

Questions can be sent to