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interfaces. Programming and HPC: Strong scripting and data analysis skills; experience with high-performance computing environments and job schedulers. Demonstrated ability to work in multidisciplinary teams
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resource allocation, budgeting, scheduling, safety protocols and procedures, and facility planning to support both user and in-house research programs Build and sustain strong collaborations across CNM, APS
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at the Argonne campus in Lemont, Illinois, five days per week. Preferred qualifications: Experience with MOOSE. Experience with PyTorch. Experience with HPC job scheduling systems. Job Family Postdoctoral Job
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environments (MPI, batch schedulers). Hands-on experience with geospatial data processing (NetCDF/HDF5, GDAL, xarray) and coastal datasets (e.g., GEBCO/ETOPO, USGS/NOAA/NCEI), including mesh generation and
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optimization and scheduling, workflow understanding, and software installation Collaboration and mentorship Collaborate with internal and external researchers to drive innovation in nanoscience and
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scheduled to run in CY26 Lead role in our MCP-PMT R&D program, with emphasis on device characterization and QA You may combine these focus areas with other ongoing projects in our group. About Argonne and the