Computational and data science research to enable discoveries in fundamental physics
IRIS-HEP is a software institute funded by the National Science Foundation. It aims to develop the state-of-the-art software cyberinfrastructure required for the challenges of data intensive scientific research at the High Luminosity Large Hadron Collider (HL-LHC) at CERN, and other planned HEP experiments of the 2020’s. These facilities are discovery machines which aim to understand the fundamental building blocks of nature and their interactions. Full Overview
News and Featured Stories:
“Ukrainia students escape the war and pursue research at the Large Hadron Collider (LHC), under supervision from Princeton University faculty.”
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For the fifth year, a group of high energy physicists ranging from undergraduates to post-doctoral researchers traveled to the Princeton University campus this summer to participate in the Computational and Data Science for High Energy Physics, or CoDaS-HEP.
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Some recent IRIS-HEP fellows on what they learned during their time with the software collaboration, what they’re up to now, and why they’d recommend the IRIS-HEP fellowship to other up and coming researchers in the field.
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Overview of IRIS-HEP efforts to train future generations of physicists to have proficiency in software.
Read moreIRIS-HEP Fellows
The IRIS-HEP Fellows program provides funding support for selected individuals to spend several months working closely with a mentor on an HEP software R&D topic relevant to the Institute. Find out more about opportunities with the IRIS-HEP Fellows program. Current fellows include:
Jul – Sep, 2023
Jul – Sep, 2023
Dec, 2022 – Feb, 2023
Jul – Sep, 2023
Jun – Sep, 2023
Jun – Sep, 2023
Jun – Sep, 2023
Jun – Sep, 2023
Jun – Sep, 2023
