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The Center for Digital Cardiovascular Innovations at Miller School of Medicine invites applications for a Postdoctoral Researcher position in AI and machine learning, with a focus on patient-specific reconstruction of coronary vessels and the simulation of stenting techniques using Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD). This is an exciting opportunity to join a leading research group working at the intersection of AI, biomedical engineering, and cardiovascular medicine.
CORE FUNCTIONS
- AI/ML Application in CFD/FEA: Develop and apply AI and machine learning methods to derive more generalized and predictive models from existing CFD and FEA results. The goal is to enhance the understanding of stenting techniques and their impact on coronary vessels.
- 3D Model Generation: Use advanced AI techniques to generate 3D anatomical models of coronary vessels and other cardiovascular structures from imaging data, incorporating patient-specific details to create high-fidelity, simulation-ready models. These models will be used to simulate medical procedures and evaluate device performance.
- In Silico Clinical Trials: Contribute to the design and execution of in silico clinical trials, leveraging AI-generated 3D models and simulations to test cardiovascular devices (e.g., stents, balloons). Collaborate with regulatory bodies and industry partners to validate device performance and predict patient outcomes in a virtual setting.
- Stent Morphometry Analysis: Generate more comprehensive stent FEA morphometry results by applying AI techniques to existing FEA simulations, thereby enabling more detailed predictions of stent performance and patient outcomes.
- Research Collaboration: Work closely with clinicians, engineers, and other researchers within the group to integrate AI-driven methods into current research frameworks, contributing to publications and conference presentations.
- Data Management: Handle large datasets, including medical imaging data, and ensure the proper implementation of AI models while maintaining the integrity and security of patient information.
- Documentation and Reporting: Prepare detailed reports, manuscripts for publication, and grant applications to support ongoing research and future funding.
CORE REQUIREMENTS
- Ph.D. in a relevant field required (Computer Science, Biomedical Engineering, or a related field with a strong background in AI, machine learning, or deep learning).
- Demonstrated experience with CFD and/or FEA, particularly in biomedical applications preferred.
- Proficiency in programming languages such as Python, MATLAB, or C++, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) preferred.
- Familiarity with medical imaging processing and reconstruction techniques preferred.
- Experience with coronary artery disease modeling and simulation.
- Previous experience working in a clinical or medical research setting.
Knowledge, Skills and Attitudes
- Skill in collecting, organizing, and analyzing data.
- Ability to recognize, analyze, and solve a variety of problems.
- Ability to exercise sound judgment in making critical decisions.
- Strong analytical and problem-solving skills, with the ability to work independently and collaboratively in a multidisciplinary environment.
- Excellent communication skills, both written and oral, with a proven track record of publications in peer-reviewed journals.
- Knowledge of stenting techniques and vascular device development.
The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.
UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for.
The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.
Job Status:
Full time
Employee Type:
Staff
