Assistant Computational Mathematician/Statistician

Argonne National Laboratory

Argonne, IL

Job posting number: #7098598 (Ref:413032)

Posted: April 14, 2022

Application Deadline: Open Until Filled

Job Description

Basic Purpose

Research and development of uncertainty quantification algorithms and data analysis for models of physical and complex systems. This will include research in uncertainty representation and propagation; optimization, data assimilation, and inference for large-scale applications; and scalable methods and software for the analysis and calibration using very large data sets resulting from dynamical simulation. Applications include epidemiology, urban systems, new materials design, and physics of galaxy formation. Participate at all the stages of the implementation of the resulting methods from prototyping in high-level languages to the development in a high-performance computing environment. Part of a team that includes computational scientists, statisticians, computer scientists and domain scientists.

Position Requirements

Knowledge, Skills and Experience

  • Knowledge in the following three areas: (1) uncertainty quantification and statistical analysis and modeling techniques such as data assimilation, Bayesian analysis, Gaussian process modeling; (2) stochastic optimization algorithms, single- and multi-objective, and decomposition techniques; and (3) generation of synthetic populations including network modeling.

  • Expertise in computational statistics and uncertainty quantification (Bayesian analysis, data assimilation, Gaussian process modeling), and their application to complex systems modeling.

  • Experience in statistical algorithms and software for large-scale scientific applications.

  • Expertise in programming in a high-level language R or Python.

  • Expertise in MPI bindings in R (Rmpi) or Python (MPI4Py) and C/C++ native code extensions for R (Rcpp) and Python (Cython).

  • Experience and skills in interdisciplinary research involving mathematicians, computational scientists, and discipline scientists.

  • Should be able to interact with members of a multidisciplinary team.

  • Collaborative skills, including the ability to work well with scientists at other laboratories and universities.

  • Should be able to develop, under supervision, high-quality scientific reports.

  • Independent judgment and the ability to abstract from specific problems to general solutions.

  • Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

RD2:  Bachelor's & 5+ yrs, Master's & 3+ yrs or Doctorate & 0 yrs

Job Family

Research Development (RD)

Job Profile

Mathematics/Statistics 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.

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:#7098598 (Ref:413032)
Application Deadline:Open Until Filled
Employer Location:Argonne National Laboratory
Argonne,Illinois
United States
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