Postdoctoral Position at UNC-Chapel Hill in Cardiovascular Modeling

Applications are invited for one or more postdoctoral positions in the Cardiovascular Modeling and Simulation group at the University of North Carolina at Chapel Hill, which is affiliated with UNC’s Carolina Center for Interdisciplinary Applied Mathematics, Computational Medicine Program and McAllister Heart Institute. Potential areas of research include mathematical and computational models of:• cardiac fluid dynamics and fluid-structure interaction, particularly in therapies for valvular heart disease such as transcatheter valve replacement

• cardiac electrophysiology, especially atrial fibrillation

• cardiac electro-mechanical coupling

• thrombosis, particularly in atrial fibrillation or following transcatheter aortic valve replacement

Research can also be broadly related to numerical methods and high-performance software to enable these types of models. Teaching duties for the position can be tailored to the applicant’s background, interests, and career goals, but will be no more than one course per semester.

Please provide via https://www.mathjobs.org/jobs/list/18688: (1) a curriculum vitae; (2) a statement of research interests; and (3) at least two letters of reference. UNC also requires application submission at https://unc.peopleadmin.com/postings/213511. A Ph.D. in Mathematics, Computer Science, Biomedical Engineering, or a related field is required. Applicants should also have substantial experience with scientific computing using compiled software languages (e.g., C, C++, Fortran).

Application review will begin December 1, 2021 and will continue until all positions are filled.

For further information, please visit https://griffith.web.unc.edu or contact Boyce Griffith at boyceg@unc.edu.

The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, race, national origin, religion, sex, sexual orientation, or status as a protected veteran.