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.

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