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Please see the attachment for a better version. Postdoctoral Research Positions in Physiological Fluid Mechanics (Simulation, Experiment, and Scientific Machine Learning): The Artificial Intelligence and Modeling Laboratory for Cardiovascular Diseases (AIMCardio Lab) at Worcester Polytechnic Institute (WPI) is seeking applications for three postdoctoral research positions. We are looking for highly motivated, collaborative, and enthusiastic researchers with expertise in fluid-structure interaction, computational and experimental fluid mechanics, and/or scientific machine learning, with applications to cardiovascular diseases and medical devices. The initial appointment is for one year, with the possibility of renewal based on performance and funding availability. Successful candidates are expected to commit to a minimum two-year appointment. About 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 • Ph.D. (or equivalent) in Mechanical Engineering, Biomedical Engineering, Aerospace Engineering, Electrical Engineering, Applied Mathematics, Computer Science, or a closely related field. • Demonstrated research excellence through peer-reviewed publications in one or more 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. Preferred Qualifications • 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: “Postdoc Application – [Area of Expertise]” • Curriculum Vitae (CV) • Academic transcripts (Bachelor’s, Master’s, and Ph.D., if applicable) • Three representative peer-reviewed journal publications (full PDF versions) • Contact information for three professional references |
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2026-08-05 01:13:44, 194.34 K
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