Postdoctoral Research Associate - ATLAS Experiment at Large Hadron Collider

The High Energy Physics Division at Argonne National Laboratory (ANL) invites applications for a Postdoctoral Research Associate position to join our team working on the ATLAS experiment at the Large Hadron Collider (LHC).

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

The Argonne ATLAS group plays a leading role in detector operations and in major upgrade efforts, including the ITk Pixel detector and TDAQ systems. The group is also actively advancing work in high-performance computing (HPC) and machine learning (ML) to address future physics and detector challenges. Current physics interests include Standard Model measurements and searches 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.

• 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 in experimental high-energy physics

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

• Strong skills in scientific programming, software development, and data analysis

• Ability to work effectively in a collaborative, multidisciplinary research environment

• Strong written and verbal communication skills

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

• Experience with the ATLAS experiment or another collider-based high-energy physics experiment

• Experience with silicon detectors, Trigger/DAQ systems, or detector operations

• Experience in software and computing, including distributed computing, high-performance computing (HPC), or machine learning (ML)

• Interest in Standard Model measurements and/or searches for new phenomena

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

• Please upload the following materials with your application in Workday:

• CV/Resume, including publications and presentations

• Research Statement

• Unofficial Ph.D. transcripts

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

Please also arrange for three letters of recommendation to be sent to: HEPHR@anl.gov

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

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.

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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.