Post-Bachelor Computational Science Appointment

Argonne National Laboratory

Argonne, IL

Job posting number: #7100648 (Ref:413439)

Posted: May 24, 2022

Application Deadline: Open Until Filled

Job Description

Argonne National Laboratory Leadership Computing Facility invites outstanding candidates to apply for the Post-Bachelor Appointment in Scientific Computing.  The appointment is for three months and can be renewed.

This appointment is intended to encourage scientists actively engaged in state-of-the-art research in Artificial Intelligent for Science. Candidates must have received a recent Bachelors prior to beginning the appointment.   

The Leadership Computing Facility at Argonne National Laboratory seeks well-prepared candidates for a post-bachelor position in  scientific computing. The successful candidate will be performing research in evaluation of novel AI architectures for science and understand their efficacy for scientific machine learning. The successful candidate will have the opportunity to use advanced AI accelerators deployed as part of the ALCF AI testbed (https://www.alcf.anl.gov/alcf-ai-testbed ) at the Argonne Leadership Computing Facility.

Position Requirements

  • B.S. in computational science, mathematics, statistics, physical sciences, engineering or a related discipline (completed in the last 3 years or soon to be completed)
  • Knowledge of computer science, computer engineering or a related field or knowledge of numerical methods and computational mathematics or computational statistics; considerable knowledge of the programming in python and use of deep learning frameworks
  • Collaborative skills, including the ability to work well with scientists at other laboratories and universities.
  • Experience in computer management, instrumentation and digital communications networking, and data acquisition/ processing programming experience in FORTRAN, C, Python, and UNIX/LINUX
  • Strong numerical programming ability in C++, and significant exposure to GPU programming
  • Interest in research for machine learning, computer science, and/or mathetmatical optimization and Programming experience in Tensorflow, Pytorch, JAX/Flax
  • Effective written and oral communication skills
  • CV, three letters of reference and university transcripts will be required

Job Family

Temporary Family

Job Profile

Predoctoral Appointee

Worker Type

Short-Term (Fixed Term)

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.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.  

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis.  Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements.  Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

Please note that all Argonne employees are required to be vaccinated against COVID-19. All successful applicants will be required to provide their COVID-19 vaccination verification as a condition of employment, subject to limited legally recognized exemptions to COVID-19 vaccination.



Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.


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More Info

Job posting number:#7100648 (Ref:413439)
Application Deadline:Open Until Filled
Employer Location:Argonne National Laboratory
Argonne,Illinois
United States
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