The third school on tools, techniques and methods for Computational and Data Science for High Energy Physics (CoDaS-HEP) is planned for 22-26 July, 2019, at Princeton University.
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 will include both lectures and practical hands-on exercises.
The 4.5 day 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.
Applications for the CoDaS-HEP 2019 school are now being accepted. The deadline for application is 7 May, 2019. Applicants will be notified regarding acceptance and available travel support by 17 May.
A draft version of the school agenda/timetable, with further details, will be added in the next weeks.
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