Postdoc / Research Scientists in compressible multi-scale turbulence, verification and validation, and exascale computing.
University of Florida at Gainesville is establishing a US Department of Energy supported Center of Excellence in predictive simulation science titled "Center for Compressible Multiphase Turbulence". The intellectual objectives of the center are threefold: to radically advance the field of compressible multiphase turbulence (CMT) through rigorous first-principle multiscale modeling, to advance very large-scale predictive simulation science on present and near-future petascale platforms, and to advance a co-design strategy that combines exascale emulation with a novel energy-constrained numerical approach.
The center will perform petascale, and work towards exascale simulations of instabilities, turbulence and mixing in particulate-laden flows under conditions of extreme pressure and temperature. Verification of codes and validation of the physical models are substantially harder for CMT. The center will engage in vigorous verification, validation, uncertainty reduction and uncertainty propagation activities in the context of CMT. The center will develop novel techniques for accurate characterization of probability tails in the uncertainty quantification of rare but critical events. The center will leverage the unique Novo-G facility at UF to develop an unprecedented capability to behaviorally prototype in hardware a variety of promising next-generation exascale architectures for CMT application. This center is funded for five years.
The center is seeking four postdoc or research scientist candidates. US citizenship or permanent residency is highly preferred. The ideal candidate would have experience in two or more of the following areas: 1) CFD, 2) large (peta) scale simulations, 3) high performance computing, 4) verification, validation and uncertainty quantification, 5) hardware architecture emulation. Candidates must also have less than five years’ experience post-doctorate, a demonstrated record of individual initiative in research, strong analytic skills, and potential to become an independent academic researcher.