The Mathematics in Computation (MiC) Section at The Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for a staff position in the Data Analysis and Machine Learning Group. This group focuses on scientific computing with a strong emphasis on scientific machine learning and data analysis. We are specifically interested in applicants with expertise in one or more of the following research areas: The design and analysis of computational methods that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance and edge computing; The design of architectures/models which accurately capture the complexities of the data, with robust estimates of confidence in predictions and compressed quantities of interest on defined domains; Fast and scalable algorithms to fit the proposed models to data, with a theory that explains the convergence and success of these techniques Detailed re-analysis of the performance of the trained models to determine underlying processes that govern the given data. This job offers an excellent opportunity to conduct exceptional and innovative research in mathematics, statistics and scientific computing, for applications with scientific and national priority. ORNL's mathematics research efforts provide the fundamental mathematical methods and algorithms needed to model complex physical, chemical, and biological systems. ORNL's computational science research efforts enable scientists to efficiently implement these models at the extreme scale of computing and to store, manage, analyze, and visualize the massive amounts of data that result. ORNL's artificial intelligence research provides the techniques to link the data producers, e.g., supercomputers and large experimental facilities, with the data consumers, i.e., scientists who need the data.