Los Alamos National Laboratory seeks a postdoctoral researcher to develop machine learning–enabled complexity reduction methods for multiscale plasma physics simulations. The work involves reduced-order modeling, surrogate modeling, uncertainty quantification, and scalable algorithms, with collaboration across LANL divisions and international teams.
The candidate will work with a multi-disciplinary group of statisticians, mathematicians, and physicists, contributing to cutting-edge research and
#J-18808-LjbffrML-Driven Plasma Physics Postdoc in los alamos at Unknown Company
This position is listed as full time and onsite.