TSSFL TECHNOLOGY STACK

We are seeking a Postdoctoral Appointee to conduct fundamental algorithm research, object-oriented software development, and development and application of methodologies in the broad area of optimization and uncertainty quantification. Areas of interest in algorithms R&D include, for example, numerical optimization, large-scale inverse problems, statistical inference, PDE-constrained and risk-averse optimization, design-of-experiments, multilevel and multifidelity methods, and random field modeling. For more information and how to apply, go here.