Argonne National Laboratory, HEP High Energy Physics Division
Position ID:
Argonne National Laboratory-HEP High Energy Physics Division-POSTDOCTORALAPPOINTEEAIMLANDATLAS [#31214, 421194]
Position Title:
Postdoctoral Appointee - AI/ML and ATLAS
Position Type:
Postdoctoral
Position Location:
Lemont, Illinois 60439, United States of America
Subject Area:
Appl Deadline:
none (posted 2025/11/14)
Position Description:
Position Description
The High Energy Physics (HEP) Division at Argonne National Laboratory invites applications for a Postdoctoral Research Associate to join the ANL ATLAS group with a focus on physics analysis and artificial intelligence/machine learning (AI/ML). The successful candidate will contribute to the group’s broad physics program, which includes precision Higgs and Standard Model measurements, and searches for new physics and performance studies. Candidates with experience in modern AI/ML methods—such as transformer architectures, tokenization strategies, and embeddings—are especially encouraged to apply. The ANL ATLAS group maintains strong involvement across the experiment, including detector operations, TDAQ upgrades, Software and Computing, ML development, and High-Performance Computing (HPC). The postdoctoral researcher will have opportunities to engage in these areas in support of physics goals. Key responsibilities Lead and contribute to ATLAS physics analyses Develop and apply AI/ML techniques (e.g., transformer-based models, tokenization, embeddings) to HEP analysis Communicate results internally and externally through talks, notes, and publications Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of High Energy Physics Demonstrated excellence in physics analysis, including data analysis, statistical interpretation, and results dissemination Strong general knowledge of contemporary high-energy physics and mathematical methods relevant to physics applications Effective verbal and written communication skills Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred qualifications Hands-on AI/ML experience, particularly with transformer-based models and related techniques (tokenization, embeddings) Familiarity with large-scale software and computing environments, including HPC workflows, is a plus Complete applications must include: Curriculum vitae A description of research interests Arrange for three letters of recommendation to be sent to HEPHR@anl.gov We will review all completed applications as they are received and will continue until the position is filled. Please contact Walter Hopkins at whopkins@anl.gov for questions about the position.Application Materials Required:
Submit the following items online at this website to complete your application:
- Cover letter
- Curriculum Vitae
- Research statement
- Three reference letters (to be submitted online by the reference writers on this site
)
And anything else requested in the position description.
Further Info:
9700 South Cass Avenue
Lemont, IL 60439
Lemont, IL 60439