The Advanced Photon Source (APS) (https://www.aps.anl.gov/) at Argonne National Laboratory (Chicago, IL US) invites applicants for an assistant computational scientist staff position to develop deep learning (DL) methods and tools for x-ray science experiments. At the APS, we are developing DL models for accelerated data analysis, experimental steering and scientific knowledge extraction. X-ray characterization provides a powerful means of studying materials at extreme resolution and under operando conditions but require challenging data handling and computational resources.
The successful candidate will:
Lead the development of a program leveraging physics-aware AI to address these data and computational challenges.
Be responsible for developing algorithms, scientific software and physics-aware machine learning (ML) methods in support of x-ray science, including large-scale, foundational DL models.
Work closely with and participate in data-intensive experiments.
Be responsible for reporting relevant results in publications and talks at conferences and will maintain cognizance of state-of-the-art techniques and methods in ML and x-ray science.
Be part of a cross-lab, highly inter-disciplinary team of experts in ML, applied math, HPC, signal processing, computational physics and x-ray science.
Benefit from access to world-leading experimental and computational resources at Argonne including the world’s first exascale computer (Aurora) and one of the brightest synchrotron x-ray sources in the world (APSU).
Candidates with hands-on experience developing and deploying physics-aware DL models for x-ray characterization are encouraged to apply. Candidates are encouraged to include a cover letter in addition to a CV.
Position Requirements
Knowledge of x-ray physics, including diffraction, detectors, scattering etc.
Experience with deep learning (DL) libraries such as Tensorflow, PyTorch, JAX etc.
Publication record in applying ML to X-ray characterization data.
Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.
Ability to understand, value, and promote diversity, equity, inclusion, and accessibility.
Minimum of a Bachelors and 5+ years’ experience, Masters and 3+ years’ experience, PhD and 0+ years’ experience, or equivalent
Preferred Knowledge, Skills, and Experience
Experience in x-ray characterization experiments.
Skill in programming in Python.
Experience with version control such as Git and collaborative software development.
Skill in written and oral communications.
Experience interacting with scientific staff and research groups.
Ability to work effectively as a member of a team.
Ability to effectively communicate with people of diverse backgrounds and skill sets.
Experience with computational modeling packages related to x-ray characterization and materials modeling.
Job Family
Research Development (RD)
Job Profile
Computational Science 2
Worker Type
Regular
Time Type
Full time
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