The Department of Nuclear Engineering at Texas A&M University is seeking applicants for one tenure-track or tenure review upon hire position in “National Security Computation,” with a targeted start date of Spring 2023 and the possibility of a delayed start to Fall 2023. Positions may carry the rank of assistant, associate, or full professor. Depending upon experience, the prospective candidate may qualify for tenure upon arrival. Successful candidates should have a high level of expertise in methods development for deterministic or hybrid deterministic Monte Carlo methods, with related experience in one or more of the following areas: high-performance computing, uncertainty quantification, reduced-order methods, model order reduction, and machine learning. Applicants must either be US citizens or expect to soon become US citizens, be able and willing to obtain a Q-clearance, and perform collaborative research (both unclassified and classified) with the laboratories of the National Nuclear Security Administration.
TAMU has become increasingly involved in collaborative research activities with the NNSA Laboratories over the last several years, particularly with Los Alamos National Laboratory, for which the Texas A&M University System serves as a managing partner in Triad National Security, LLC. A major new initiative in LANL/TAMUS research collaborations is the Joint Center for Resilient National Security (JCRNS) https://nationallabsoffice.tamus.edu/joint-center-for-resilient-national-security/. The faculty we are seeking to hire will be administratively located in the Department of Nuclear Engineering, but will also participate in JCRNS programs and activities. However, these faculty are not expected to exclusively perform national security related research, rather they will also be expected to seek research funding from other traditional sources as well.