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Postdoctoral Appointee - Software R&D and Scaling Machine Learning

UChicago Argonne, LLC
Lemont, IL Full Time
POSTED ON 3/4/2025
AVAILABLE BEFORE 4/26/2025

The Argonne National Laboratory (ANL) High Energy Physics Division invites applications for a Postdoctoral Research Associate to work in the Energy Frontier (EF) group on ATLAS Software R&D and HEP-CCE Scaling Machine Learning. The HEP Division performs cutting-edge research facilitated through advanced detector development, high-performance supercomputing (HPC), and innovative electronic and mechanical engineering. The HEP Energy Frontier group has recognized roles within the international ATLAS collaboration.

The successful candidate will be working on the development of core software for the ATLAS experiment with special focus on Input/Output software and metadata handling. The position offers the possibility to collaborate with other HEP scientists on ATLAS. In addition, as part of the Scaling Machine Learning (SML) effort of the High-Energy Physics Center for Computational Excellence (HEP-CCE), the candidate will be responsible for facilitating the scaling of HEP ML workflows for deployment on large-scale computing resources, such as high-performance computers (e.g., Perlmutter, Aurora, etc.). This includes tasks such as automating model design, optimizing hyperparameters, and training ensembles of models.

Position Requirements

  • Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of 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

All candidates are encouraged to apply if they have a genuine interest learning and enhancing these skills. Candidate is looking forward to work and engage with a diverse team of colleagues.

Job Family

Postdoctoral

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full time

The expected hiring range for this position is $70,758.00 - $110,379.55.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.  

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis.  Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements.  Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

Salary : $70,758 - $110,380

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