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Argonne National Laboratory Postdoctoral Appointee - Computational Statistics, Applied Probability, Machine Learning in Lemont, Illinois

The Mathematics and Computer Science division at Argonne is seeking a postdoctoral candidate with a strong background in computational statistics and uncertainty quantification to develop robust and effective algorithms for solving stochastic inverse problems in quantum chromodynamics and nuclear tomography. The incumbent will be part of a large team of applied mathematicians, statisticians, computational scientists, and nuclear physicists. The work involves sample-based probability distribution learning and spans computational statistics, machine learning, uncertainty quantification, and numerical analysis.

Position Requirements

  • Recent or soon-to-be completed PhD (typically completed within the last 0-3 years) in statistics, probability, applied mathematics, or another scientific or engineering field with a strong emphasis on solving inverse problems and uncertainty quantification.

  • Effective verbal and written communication skills

  • Mixture of experience and interest in learning the following topics: Inference-based computational statistics: Bayesian & likelihood methods, high dimensional sampling, computational and variational inverse problems, dimension reduction and statistical analysis of high-dimensional datasets

Desired but not required knowledge:

  • Statistical testing, goodness-of-fit tests, probability coverage

  • Machine learning (ML) with a strong emphasis on variational, probabilistic and statistical ML approaches, normalizing flows, generative modeling

  • Optimal transport, distance metrics

  • Python code development, and devops such as git and CI/CD

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.

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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.

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