Demo

Postdoctoral Appointee

Argonne National Lab
Lemont, IL Full Time
POSTED ON 4/10/2025
AVAILABLE BEFORE 5/8/2025

Job Summary

This position is open to recent or soon-to-be-completed PhDs in experimental particle physics with expertise in software development and machine learning. The successful candidate will work on core ATLAS experiment software, particularly input/output software and metadata handling.

About the Position

The HEP Energy Frontier group at Argonne National Laboratory invites applications for a Postdoctoral Research Associate to contribute to cutting-edge research in ATLAS Software R&D and HEP-CCE Scaling Machine Learning. This role offers opportunities to collaborate with HEP scientists on ATLAS and facilitate the scaling of ML workflows for deployment on high-performance computing resources.

Key Responsibilities

  • Develop core software for the ATLAS experiment with a focus on input/output software and metadata handling.
  • Collaborate with HEP scientists on ATLAS and other projects.
  • Facilitate the scaling of HEP ML workflows for deployment on large-scale computing resources.
  • Automate model design, optimize hyperparameters, and train ensembles of models.

Requirements

  • Recent or soon-to-be-completed PhD in experimental particle physics.
  • Programming expertise in C/C , Python, Fortran, or another scientific programming language.
  • Experience with ML software such as Tensorflow and PyTorch.
  • Experience with ATLAS Software Development.
  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork.

What We Offer

  • A diverse team of colleagues engaged in collaborative scientific discovery and innovation.
  • Opportunities for professional growth and development.
  • A comprehensive benefits package.

About Argonne National Laboratory

Argonne National Laboratory is an equal employment opportunity employer committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. We encourage everyone to apply for employment.

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