|The Randles lab has an immediate opening for a Postdoctoral Associate to conduct applied research and development in the area of high-performance scientific computing. The focus of the candidate will be on research and software development in the computational fluid-structure interaction domain with the goal to improve or develop new algorithms for multicore architectures. This work will be completed as part of a wider multidisciplinary team developing patient-specific hemodynamic models to provide insight into the development and progression of disease. To date, the code scales with high efficiency to 1.6 million cores of the Blue Gene/Q supercomputer. The candidate will develop methods to scale the application on heterogeneous architectures including GPUs. This position is available for immediate hire with a 2-year term and opportunity for additional annual renewal contingent on performance and funding availability.
The successful candidate will have: a Ph.D. in Computer Science, Scientific Computing, or Applied Mathematics, strong programming skills, experience with GPU programming, and experience with MPI and parallel programming.
Qualified candidates should submit a CV, 3 references, and cover letter with description of research interests directly to Amanda Randles at email@example.com.
Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, genetic information, gender, gender identity, national origin, race, religion, sexual orientation, or veteran status.|
Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual’s age, color, disability, genetic information, gender, gender identity, gender expression, national origin, race, religion, sexual orientation, or veteran status.