Postdoctoral Appointee - Computational Mathematician/Statistician
Job posting number: #7083812
Posted: August 25, 2021
Application Deadline: Open Until Filled
Job DescriptionThe 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
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.
Education and Experience 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.
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.