PhD Positions in Physiological Fluid Mechanics
Worcester Polytechnic Institute
Massachusetts, Worcester, United States
Details
The Artificial Intelligence and Modeling Laboratory for Cardiovascular Diseases
(AIMCardio Lab) at Worcester Polytechnic Institute (WPI) is seeking applications
for multiple PhD research positions. We are looking for highly motivated,
collaborative, and enthusiastic researchers with an interest in fluid-structure
interaction, computational and experimental fluid mechanics, and/or scientific
machine learning, with applications to cardiovascular diseases and medical
devices.
AIMCardio Lab conducts cutting-edge research in computational and experimental
fluid-structure interaction, cardiovascular biomechanics, digital health, and
AI-driven modeling. The laboratory maintains long-standing collaborations with
leading hospitals and medical centers across the United States, including the
Hospital for Sick Children (Toronto), Children’s Hospital of Philadelphia
(Philadelphia), and Columbia University Irving Medical Center (New York). We
also collaborate closely with major medical device companies, including Abbott,
Edwards Lifesciences, Boston Scientific, and Medtronic, to develop next-
generation cardiovascular technologies and translational solutions. More
information about our research can be found at: AIMCardioLab.wpi.edu
Required Qualifications
• Degree in Mechanical Engineering, Biomedical Engineering, Aerospace
Engineering, Electrical Engineering, Applied Mathematics, Computer Science, or a
closely related field.
Preferred Qualifications
• Demonstrated knowledge and/or experience in one of the following areas:
o Experimental fluid mechanics and advanced flow visualization techniques
(e.g., Particle Image Velocimetry (PIV), flow imaging, or related experimental
methods).
o Fluid-structure interaction (FSI), computational fluid dynamics (CFD),
finite element analysis (FEA), or multiphysics simulations, with strong
programming and computational skills.
o Scientific machine learning, including physics-informed neural networks,
operator-learning methods, surrogate modeling, and data-driven modeling of
physical systems.
• Experience conducting research in physiological fluid mechanics and
cardiovascular flow systems.
• Experience contributing to competitive research grant proposals
• Experience in innovation-driven technology development, intellectual
property generation, or commercialization activities (e.g., invention
disclosures or patent applications).
• Strong mentoring skills and a demonstrated ability to supervise graduate
students and undergraduate researchers.
• Excellent written and verbal communication skills and the ability to
work effectively in interdisciplinary research teams.
What We Offer
• Opportunities to work on high-impact projects at the intersection of
cardiovascular biomechanics, artificial intelligence, and translational
medicine.
• Access to state-of-the-art computational and experimental research
facilities.
• Extensive collaborations with leading clinicians, researchers, and
medical device companies.
• A highly interdisciplinary and supportive research environment with
strong opportunities for career development in academia, industry, and
entrepreneurship.
Application Instructions: Applications will be reviewed on a rolling basis until
positions are filled. Please submit all materials as a single PDF file to
ZWei1@wpi.edu with the subject line: “PhD Application”
• Curriculum Vitae (CV) or Resume
• Academic transcripts (Bachelor’s and Master’s, if applicable)
• Contact information for three professional references
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