Argonne National Laboratory · 2 months ago
Postdoctoral Research Associate - Machine Learning in High Energy Physics Detector Operations
Argonne National Laboratory is a multidisciplinary national laboratory that invites applications for a postdoctoral research associate position in machine learning for High-Energy Physics. The role involves developing ML techniques for data quality monitoring across multiple HEP experiments and collaborating with computational experts on advanced computing facilities.
EnergySecuritySocial Impact
Responsibilities
Conduct research in machine learning for applications in High-Energy Physics
Lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple HEP experiments
Work closely with computational experts at the Computational Science division, designing and executing ML experiments on leadership-class computing facilities
Qualification
Required
Recent or soon-to-be-completed PhD (within the last 0-5 years) in high energy physics, or a related field
Experience with the data from HEP experiments is strongly required
Programming expertise in Python and either PyTorch or TensorFlow is required
Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork
Preferred
Experience with applying unsupervised ML algorithms such as autoencoders, clustering, to time-series data is preferred
Experience using High-Performance Computers (HPCs) is preferred
Benefits
Comprehensive benefits
Company
Argonne National Laboratory
Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management.
Funding
Current Stage
Late StageTotal Funding
$41.4MKey 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
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