The High Energy Physics Division at Argonne National Laboratory (ANL) invites applications for aPostdoctoral Research Associateposition to join our team working on theATLAS experiment at the Large Hadron Collider (LHC).

The successful candidate will contribute to a broad research program that includesphysics analysis, detector performance studies, experiment operations, and upgrade activities. This is an exciting opportunity to work within a collaborative group with deep expertise insilicon detectors, Trigger/DAQ (TDAQ) systems, software, and computing.

The Argonne ATLAS group plays a leading role indetector operationsand in major upgrade efforts, including theITk Pixel detectorandTDAQ systems. The group is also actively advancing work inhigh-performance computing (HPC)andmachine learning (ML)to address future physics and detector challenges. Current physics interests includeStandard Model measurementsandsearches for new phenomena.

We welcome applicants who are excited to contribute to both the scientific and technical aspects of the ATLAS program in a highly collaborative research environment.

Position Requirements

• Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of experimental particle physics or a closely related field

• Experience inexperimental high-energy physics

• Demonstrated ability to contribute tophysics analysis, detector performance studies, detector operations, and/or upgrade activities

• Strong skills inscientific programming, software development, and data analysis

• Ability to work effectively in acollaborative, multidisciplinary research environment

• Strongwritten and verbal communication skills

• Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork

Preferred Qualifications

• Experience with theATLAS experimentor anothercollider-based high-energy physics experiment

• Experience withsilicon detectors,Trigger/DAQ systems, ordetector operations

• Experience insoftware and computing, including distributed computing,high-performance computing (HPC), ormachine learning (ML)

• Interest inStandard Model measurementsand/orsearches for new phenomena

Application Review

Review of applications will begin once the application is complete and will continue until the position is filled.

Application Instructions

• Please upload the following materials with your application inWorkday:

• CV/Resume, including publications and presentations

• Research Statement

• Unofficial Ph.D. transcripts

• Copy of Ph.D. diploma, if already awarded

Please also arrange forthree letters of recommendationto be sent to:HEPHR@anl.gov

For further information, please contact: Dr. Walter Hopkins at whopkins@anl.gov

Job Family

Job Profile

Worker Type

Time Type

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.