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Argonne National Laboratory Postdoctoral Appointee in Statistical Modeling in Lemont, Illinois

We seek to hire a postdoctoral appointee at the Mathematics and Computer Science Division at Argonne National Laboratory. In this role you will develop statistical and machine learning techniques along with associated software in order to characterize, detect and model extreme events of complex systems. In particular, focused on environmental extremes and characterize their impacts on human systems and infrastructures such as power grids. You will be challenged by large datasets, complex interactions of extremes and highly non-linear phenomena.

You will work with a team of statisticians, applied mathematicians and computational scientists based at Argonne and in collaboration with Rutgers University, and will have access to world-class high-performance computing resources.

Position Requirements

  • A recent or soon-to-be-completed Ph.D. in Statistics, Applied Mathematics or Data Science and 0+3 years of experience

  • Expertise in statistical extremes and statistical modeling

  • Experience with scientific data analysis (computer model simulations, observational data)

  • Knowledge of machine learning techniques and software (e.g. Python, Julia)

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.

Interested in translating science into innovation? Build your career at Argonne.

At Argonne, we view the world from a different perspective. Our scientists and engineers conduct world-class research in clean energy, the environment, technology, national security and more. We’re finding creative ways to prepare the world for a better future.

To learn more about Argonne's benefits programs, amenities, and other employee programs, visit our main Careers (http://www.anl.gov/careers) site.

To learn more about the exciting science going on at Argonne, visit our Science and Technology (http://www.anl.gov/argonnes-science-and-technology) page.

To request a reasonable accommodation or for other application support, contact us anytime at careers@anl.gov or 630-252-2336.

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