The Artificial Organ Lab at the Departments of Surgery at the University of 
Maryland is a national leader in the development of circulatory and 
extracorporeal membrane oxygenation (ECMO) support devices. The group is led by 
a team of engineers and clinicians well-versed in the engineering, clinical, and 
scientific aspects of medical devices. The research activities are carried out 
within a multidisciplinary research and design team consisting of clinicians, 
surgeons, scientists, engineers, residents, and students. The group is seeking a 
Mechanics Postdoc to assess the blood flow characteristics for supporting the 
design and development of next-generation ECMO devices with minimal damage to 
blood cells.
Responsibilities
The successful candidate will design, develop, and optimize the method\algorithm 
for assessing blood cell (i.e., red blood cells, platelets, and neutrophils) 
damage in the blood-contacting medical device (BCMD), e.g., circulatory assist 
and ECMO, using the microfluidic approach, engineering modeling, computer-aided 
design (CAD), and computational fluid dynamics (CFD). We are specifically 
interested in applicants with experience in computational mechanics, algorithm 
design, multi-scale simulation, and high-performance computation. 
Responsibilities will include, but are not limited to:
•	Use established procedures to improve existing methods in evaluating 
blood damage
•	Perform detailed design and development of user-defined algorithm (code) 
implemented in CFD solvers for solving large-scale simulations in assessing 
blood flow in BCMDs.
•	Work as a team member, leader, or individual to research, develop, test, 
and evaluate the method in various devices.
•	Assisting in the design and development of in-vitro experiments to 
compare the simulated result.
Qualifications:
The applicants are expected to have a Ph.D. degree in computational 
mechanics\mathematics or related disciplines (mechanical engineering, aerospace 
engineering, physics, or equivalent) with broad knowledge of CFD and numerical 
methods for solving partial differential equations. Previous work experience in 
the areas of CAD, biomechanical, mathematical modeling, user-defined algorithm 
design, and high-performance computation is highly preferred. Familiar with both 
Eulerian and Lagrangian methods in CFD is a big plus.
Contact:
The ideal candidates shall have strong leadership skills and contribute to the 
growing translational cardiovascular/bioengineering research at the University 
of Maryland Baltimore. Applicants should send a 1-page cover letter that 
describes their research experience, curriculum vitae, and contact information 
for at least 3 references to Zhongjun Wu, Ph.D. at ZWu@som.umaryland.edu.