We work with researchers throughout Argonne and the scientific and engineering communities to accelerate discovery. Our name reflects three important emphases:
Applied mathematics - which includes computational mathematics, mathematical modeling, numerical analysis, and optimization -- provides a foundation for many scientific and engineering problems. Our research covers the complete spectrum from formulation to algorithm design and analysis to collaboration with domain scientists in solving large-scale problems.
New technologies are essential to meet the needs of computational scientists. We are dedicated to incorporating new numerical methods from areas such as machine learning, numerical analysis, optimization, and statistics into portable, high-performance, sustainable software and testing it in large-scale simulations of interest to the scientific community.
Statistical methods inform all stages of the scientific process, from design of experiments to exploratory analyses, modeling, and inference. We are developing state-of-the-art data-driven statistical methods to achieve new scientific insights, and to produce fast, rigorous methods for artificial intelligence and uncertainty propagation.
Postdoctoral and Student Opportunities
Ways to visit LANS and related groups at Argonne.
Postdoctoral and faculty opportunities:
- Wilkinson Postdoctoral Fellowship in Scientific Computing
- Argonne’s postdoctoral openings and postdoctoral fellowships
- Faculty sabbaticals and other visit programs
Opportunities for domestic and foreign students include:
- Givens Associate program for doctoral students
- General graduate student internships
- General undergraduate student internships
LANS Seminar Series
We have a weekly LANS seminar