Assistant Computational Scientist - Physics-Aware Deep Learning for X-ray Science

1 day ago
Full time role
In-person · Lemont, IL, US... more

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

As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.

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