Postdoctoral Appointee - Medium Energy Physics jobs in United States
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Argonne National Laboratory · 3 weeks ago

Postdoctoral Appointee - Medium Energy Physics

Argonne National Laboratory is a prominent multidisciplinary science and engineering research center. The Medium Energy Physics group invites applications for multiple experimental postdoctoral researcher positions focusing on AI applications in nuclear physics and experimental research at various laboratories.

EnergySecuritySocial Impact
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Culture & Values
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Responsibilities

AI-ready data and analysis for the ePIC Barrel Imaging Calorimeter and our Jefferson Lab program
Support for the PRad-II and X17 experiments scheduled to run in CY26
Lead role in our MCP-PMT R&D program, with emphasis on device characterization and QA

Qualification

AI methodsPMTs experienceMCP-PMTs experienceExperimental nuclear physicsJefferson Lab experienceRespectSafetyImpactTeamworkIntegrity

Required

Recent or soon-to-be-completed PhD (within the last 0-5 years) in experimental nuclear or particle physics or a related field
Match at least one of the following profiles: Experience with modern AI methods for nuclear physics or high-energy physics detector data; or Hands-on work with PMTs, SiPMs, or MCP-PMTs (test-beam or bench characterization experience is a plus); or Prior experience working on Jefferson Lab or RHIC experiments
Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork

Benefits

Comprehensive benefits are part of the total rewards package

Company

Argonne National Laboratory

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Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management.

Funding

Current Stage
Late Stage
Total Funding
$41.4M
Key Investors
Advanced Research Projects Agency for HealthUS Department of EnergyU.S. Department of Homeland Security
2024-11-14Grant· $21.7M
2023-09-27Grant
2023-01-17Grant

Leadership Team

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Raeanna Sharp- Geiger
COO
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Paul Kearns
Laboratory Director
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Recent News

Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
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