Post Doctoral Associate

University of Miami • Miami, FL

1d

About The Position

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.

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).
• 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.
• 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.

Nice To Haves

• 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 of stenting techniques and vascular device development.

Responsibilities

• 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.

Benefits

• The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees