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Position: Staff Member - Computational Mathematician/Statistician (Evergreen)
Institution: Argonne National Laboratory
Location: Lemont, Illinois, United States
Duties: The Mathematics and Computer Science Division at Argonne National Laboratory seeks well-prepared candidates in applied mathematics, numerical analysis, optimization, numerical software, and statistics for multiple positions at career levels from postdoctoral researchers to senior staff researchers
Requirements: Applicants should have a master’s or doctorate degree in computer science, mathematics, operations research, statistics, or a related discipline; Applicants should have documented and comprehensive expertise, commensurate with their experience, in computational mathematics, computational science, or numerical libraries; Programming experience in C, Python, Fortran, or another programming language is desirable; experience with parallel computing is desirable
   
Text: Skip to main content careers ARGONNE CAREERS ARGONNE CAREERS page is loaded Staff Member - Computational Mathematician/Statistician (Evergreen) Argonne National Laboratory Apply The Mathematics and Computer Science Division at Argonne National Laboratory seeks well-prepared candidates in applied mathematics, numerical analysis, optimization, numerical software, and statistics for multiple positions at career levels from postdoctoral researchers to senior staff researchers. The appointment level will be commensurate with experience. The positions will address software/algorithm development and/or theory in areas of interest to the applied mathematics, numerical software, and statistics group. Candidates should have expertise in one or more of the following areas: Nonlinear optimization, including mixed-integer, multiobjective, stochastic/robust, PDE-constrained, simulation-based, dynamics, derivative-free, and parallel/concurrent optimization Machine learning, data analysis, applied statistics, and uncertainty quantification Statistical inference and analysis, sampling, spectral estimation Stochastic processes, stochastic differential equations Data assimilation, inverse problems High-order methods for PDEs/CFD including spectral element methods Numerical linear algebra focusing on highly scalable preconditioners including matrix-free methods Numerical methods for ordinary and partial differential equations including error estimators and adjoints Automatic/algorithmic differentiation Quantum information sciences, including quantum computing, networking, and simulation This is an Evergreen job posting which allows candidates to apply once to be considered for multiple job requisitions; you may be asked to apply to a specific job posting in the future. Position Requirements This position can be hired at one of two levels, and the requirements for each are as follows: RD3: Bachelor’s degree + 8 years of experience, Master’s degree + 5 years of experience, or PhD + 4 years of experience, or equivalent RD4: Bachelor’s degree + 12 years of experience, Master’s degree + 7 years of experience, or PhD + 6 years of experience, or equivalent Position Requirements Applicants should have a master’s or doctorate degree in computer science, mathematics, operations research, statistics, or a related discipline. Applicants should have documented and comprehensive expertise, commensurate with their experience, in computational mathematics, computational science, or numerical libraries. Programming experience in C, Python, Fortran, or another programming language is desirable; experience with parallel computing is desirable. Openings are available immediately, but there is flexibility in start dates for highly qualified candidates. More information on applied mathematics, numerical software, and statistics work at Argonne may be found at https://www.anl.gov/mcs/lans. Feel free to contact members of the LANS group directly by email with specific questions. Job Family Research Development (RD) Job Profile Computational Science 3 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. Apply Posted 30+ Days Ago Full time 411822 About Us 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 site. To learn more about the exciting science going on at Argonne, visit our 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. Similar Jobs Follow Us © 2022 Workday, Inc. All rights reserved.
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