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Computational Biomechanics of a Subject-specific Brain: Postdoctoral Fellowship at The Johns Hopkins University

ndaphalapurkar's picture

A Postdoctoral Fellowship is available at The Johns Hopkins University, Whiting School of Engineering, in the area of Computational Brain Biomechanics under accelerative conditions. The goals include modeling the dynamic response of the brain and modeling subject-to-subject variability. The approach will develop computational head model using finite element method, considering advanced mathematical and computational techniques and up-to-date mechanics-based understanding of the brain biomechanics.  The candidate will receive experimentally measured deformations for validation and model improvements.  

Desired qualifications of an ideal candidate include: background and expertise in advanced finite element methods, intensive experience using finite element analysis packages (either open-source or abaqus), strong publication record in computational continuum analysis, abaqus subroutine development, skilled programming using C/C++/fortran, experience in dynamic analysis, advanced consitutive modeling of anisotropic, viscoelastic, nonlinear material response, skilled in image processing, background in biomedical imaging, strong communication skills, comfortable with an independent-working environment and goal-oriented approach to collaborative research.

This position will be hosted in Hopkins Extreme Materials Institute ( and includes opportunities to collaborate with scientists from a number of other organizations, in additions to collaborations with scientists and faculty from the Johns Hopkins University, Johns Hopkins Applied Physics Laboratory and Johns Hopkins Medical Institutes.

The duration of this position is one year. Expected start date is January 2, 2017 or anytime before this date. Ph.D. degree is a requirement. Interested candidates should email at their complete Curriculum Vitae and a Cover letter addressed to Dr. Nitin Daphalapurkar, Assistant Research Professor, Whiting School of Engineering, The Johns Hopkins University.

Keywords: computational biomechanics of the brain, subject-specific head model, accelerative loading, dynamic analysis, wave propagation in soft tissue, brain injury. 

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