PNNL

The Pacific Northwest National Laboratory (PNNL) Distinguished Postdoctoral Fellowship in Scientific Computing is competitively awarded to outstanding candidates with interest and demonstrated accomplishments in applied mathematics and high-performance computing. Fellowship appointments will be in either PNNL’s Computational Mathematics group or High-Performance Computing group, which have strong capabilities in multiscale mathematics, uncertainty quantification, parameter estimation, data-driven methods, hardware/software co-design methods, high-level synthesis and architecture design, performance modeling and prediction, compilers, runtime systems, and system software.

Fellowship award recipients will have the opportunity to conduct research in areas of their choice under the mentorship of Computational Mathematics/High-Performance Computing staff scientists with collaboration from computational and domain scientists across PNNL. 

The fellowship is generously supported by the Department of Energy Advanced Scientific Computing Research program.

2023 Fellowship Awardees

Saad Qadeer received a BS in mathematics from Lahore University of Management Sciences, Pakistan in 2013 and a PhD in applied mathematics from the University of California, Berkeley in 2018. In his graduate research work, he developed techniques for the computation of nonlinear Faraday waves in a three-dimensional cylinder. He worked as a postdoc at the University of North Carolina at Chapel Hill from 2018 to 2020, where he worked on high-order numerical methods for fluid problems in complex domains. Qadeer joined PNNL in 2021, where he has continued working on highly accurate numerical techniques by building on ideas in scientific machine learning. His additional interests include applied analysis, numerical linear algebra, and computational chemistry.

Publications

Meuris B., S. Qadeer, and P. Stinis. 2023. “Machine-learning-based spectral methods for partial differential equations.” Scientific Reports 13 (1739). PNNL-SA-168281. https://doi.org/10.1038/s41598-022-26602-3.

Qadeer S., G. D. Santis, P. Stinis, and S. S. Xantheas. 2022. “Vibrational Levels of a Generalized Morse Potential.” The Journal of Chemical Physics 157: 144104. PNNL-SA-174299. https://doi.org/10.1063/5.0103433.

Shady Ahmed received his BS and MS in mechanical power engineering, both from Mansoura University in Egypt. He obtained his PhD in mechanical and aerospace engineering from Oklahoma State University in 2022. His PhD work focused on developing digital twin frameworks for dynamical systems. His current research interests include scientific machine learning, reduced order modeling, and inverse problems.

Publications

Ahmed, S. E. P. and Stinis. 2023. “A multifidelity deep operator network approach to closure for multiscale systems.” Computer Methods in Applied Mechanics and Engineering 414: 116161. https://doi.org/10.1016/j.cma.2023.116161.