ARGONNE

ARGONNE

Assistant Physicist

Lemont, IL USA · Contract

Sponsorship not specified$94k-$147kDetected 30 days ago
PythonGitMachine LearningTensorFlowPyTorchNLPAgentic AIA/B TestingElectrical EngineeringMicroscopyRadiologyResearchCommunication

About the role

  • The appointee will benefit from access to world-leading experimental and computational resources at Argonne, including the upgraded APS and the exascale Aurora supercomputer.
  • We seek highly motivated candidates with strong expertise in AI/ML and in the development of AI tools for scientific operations to join the X-ray Imaging Group.
  • Job Family Research Development (RD) Job Profile Physics 2 Worker Type Regular Time Type Full time The expected hiring range for this position is $94,486.00 - $147,398.94.

Responsibilities

  • Design, develop, and deploy AI/ML tools for x-ray imaging operations including reconstruction, super-resolution, spatiotemporal fusion, denoising, segmentation, and feature extraction - and integrate them into the beamline software stack.
  • Build closed-loop experimental workflows in which AI agents use streaming data and real-time reconstruction and analysis to steer measurement decisions, and contribute to the development of a fully autonomous, AI-driven tomography beamline as a flagship project for the group.
  • Collaborate with the APS Computation and AI (CAI) group and engage with other APS AI efforts and activities to align Imaging Group tools with facility-wide AI/ML infrastructure, data services, and computing resources, and to contribute to shared frameworks for autonomous experimentation.
  • Develop automated pipelines for acquisition, quality control, and downstream analysis that translate beamline-scientist expertise and currently manual operational steps into robust, reusable software.
  • Build and maintain pipelines for robust metadata capture and the systematic generation of curated, standardized datasets to support continual AI/ML model training and validation.
  • Experience developing AI/ML methods specifically for x-ray imaging, tomography, or high-speed imaging applications.
  • Experience handling high-rate, large-volume imaging datasets and developing high-throughput reconstruction or analysis pipelines.
  • Familiarity with metadata standards, data management, and curation practices that support reproducible science and ML training datasets.

Requirements

  • Experience with high-performance computing (HPC) and/or cloud environments.
  • Experience with version control (e.g., Git) and collaborative software development practices.
  • Ability to work effectively both independently and in a collaborative, team-based research environment.
  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork.
  • Interpersonal skills, oral and written communication skills, and ability to interact with people at all levels both within and outside the laboratory.
  • Experience collaborating with facility-level computing, data, or AI groups to deploy software into production scientific environments.
  • May be required to perform other duties as assigned.

Nice to have

  • Preferred Knowledge, Skills, and Experience

Compensation

  • Please note that the pay range information is a general guideline only.

Benefits

  • Strong scientific software development skills in Python and modern deep-learning frameworks (e.g., PyTorch, TensorFlow), including experience with distributed training on high-performance computing resources.
  • Experience working with experimental imaging data, ideally at a synchrotron, electron microscopy, medical imaging, or comparable facility.
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