Applied Mathematics Postdoc | Los Alamos, New Mexico, United States | Los Alamos National Laboratory

Position:	Applied Mathematics Postdoc
Institution:	Los Alamos National Laboratory
Location:	Los Alamos, New Mexico, United States
Duties:	We are looking for candidates to join our team in Los Alamos National Laboratory’s Theoretical Division (T-Division). T-Division provides a unique and engaging environment that fosters multi-disciplinary collaborations to support the laboratory’s strategic basic research and national security missions. The Applied Mathematics and Plasma Physics (T-5) group within T-Division conducts research across a wide variety of topics including fusion science, space plasma, numerical analysis, computational imaging, optimization, and the modeling of critical infrastructure (gas pipelines and electrical grids). These application areas are tied together by research in novel algorithms, numerical methods, artificial intelligence, and machine learning
Requirements:	Degree in Applied Math, Computational Sciences, Statistics, Physics, or Engineering within the past five years (or soon to be completed); Strong programming experience in C/C++, Fortran, Python, and/or GPU languages (e. g. CUDA); Demonstrated experience in conducting original scientific research through peer reviewed publication record; Excellent communication skills (both oral and written)

Text:	Applied Mathematics Postdoc We are looking for candidates to join our team in Los Alamos National Laboratory’s Theoretical Division (T-Division). T-Division provides a unique and engaging environment that fosters multi-disciplinary collaborations to support the laboratory’s strategic basic research and national security missions. The Applied Mathematics and Plasma Physics (T-5) group within T-Division conducts research across a wide variety of topics including fusion science, space plasma, numerical analysis, computational imaging, optimization, and the modeling of critical infrastructure (gas pipelines and electrical grids). These application areas are tied together by research in novel algorithms, numerical methods, artificial intelligence, and machine learning Degree in Applied Math, Computational Sciences, Statistics, Physics, or Engineering within the past five years (or soon to be completed); Strong programming experience in C/C++, Fortran, Python, and/or GPU languages (e. g. CUDA); Demonstrated experience in conducting original scientific research through peer reviewed publication record; Excellent communication skills (both oral and written)