Postdoctoral Appointee - Applied Artificial Intelligence for Creating Next Generation Materials - Military Veterans

at Argonne National Laboratory

Lemont, Illinois

We are seeking a Postdoctoral Appointee to work in the Data Science and Learning division (DSL) of the Computing, Environment, and Life Sciences directorate (CLS) of Argonne National Laboratory. This is an opportunity for a knowledgeable and creative individual to be part of a team using artificial intelligence and high-performance computing to design the next generation of materials.

The primary projects this postdoc will contribute to are finding new routes for chemical storage of hydrogen and the design of copper-carbon composites for enhanced conductivity. Each project will involve close collaboration with a team of domain experts to leverage emerging computing techniques to solve pressing challenges in clean energy and manufacturing.

Primary responsibilities will be to design and implement new techniques for predicting properties of or suggesting new experiments for molecular and metallic materials. While experience in materials engineering is a benefit, ideal candidates will be expected to work together with domain experiments rather than possess all required expertise themselves. Beyond the listed projects, the candidate will be able to contribute to other large-team scientific projects in materials engineering and beyond at Argonne National Laboratory.

Position Requirements

Required qualifications and skills:
  • A completed or soon-to-be completed (typically within 0-3 years) PhD. in materials science, chemistry, physics, mathematics, computer science or related engineering disciplines.
  • Knowledge of deep learning techniques for image and graph data
  • Experience with applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems.
  • Interest in software development, with particular emphasis on the Python programming language and contributions to open-source scientific software
  • Good scientific productivity, as demonstrated by publications and conference presentations.
  • Effective oral and written communication skills.
  • Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork


Desirable skills:
  • Experience with analyzing large and/or complex data sets.


Job Family
Postdoctoral Family

Job Profile
Postdoctoral Appointee

Worker Type
Long-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.

Lemont, Illinois

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