Employment Opportunities

Opportunies for undergraduate students:

I am looking for highly motivated undergraduate students to assist with research projects. Students should contact Professor Randles for more information. 

Opportunities for graduate students:

There are typically 1-2 openings for graduate students each year.  Candidates should apply to the Biomedical Engineering Department and specify interest in working with Professor Randles in their application.

Opportunities for postdocs:

I am currently seeking to hire several postdoctoral researchers in the areas of biofluid modeling and high performance computing. Candidates should have relevant research experience and hold a Ph.D. in Biomedical Engineering, Physics, Computer Science, Mathematics, or another related field. Applicants should send a cover letter, CV, and list of three references as a single document to Professor Randles. Current job ads are here:

Fluid Dynamics Postdoctoral Fellow

The Randles lab has an immediate opening for a Postdoctoral Associate to conduct applied research in the area of large-scale hemodynamic simulations. We are interested in questions that are of crucial importance for vascular disease research, and we use mathematical and computational techniques to approach them. In particular, we are coupling a kinetic representation of fluid mechanics with a deformable representation of suspended bodies and vessel walls to create patient-specific simulations of hemodynamics. Such methods are extremely computationally intense and require use of large-scale supercomputers. The focus of the candidate will be on the development and application of multiscale/multiphysics software to study the localization and progression of disease. The position is available for immediate hire with a 2-year term and opportunity for additional annual renewal contingent on performance and funding availability.

High Performance Computing Postdoctoral Fellow

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.

 

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.