Open Postdoc on computational methods to process experimental data

A Postdoctoral Fellow is sought to fill an immediate opening in the Gross Materials Lab at the University of South Carolina to work on a DARPA funded project. The postdoc will have the opportunity to attend regular meetings with DARPA and other DOD program managers. The research is focused on extracting yield surfaces from data rich full-field experimental information by solving an inverse problem. This research will be primarily computational and will integrate closely with a graduate student conducting experiments. Applicants with relevant experience on many of the following topics are strongly encouraged to apply: Anisotropic metal plasticity, optimization algorithms, inverse problems, uncertainty quantification, coding (preferrably python), and high performance computing.

Applicants should email their CV to andrewgross@sc.edu with links to their two most relevent published works.

A nontechnical perspective on the project can be found here: https://www.sc.edu/study/colleges_schools/engineering_and_computing/news...