University of Miami
Healthcare
PostdoctoralAssociate
Neural analysis suggests this role is
optimal for Entry candidates.
“Postdoctoral Associate at University of Miami. Skills: AI/ML Application in CFD/FEA, 3D Model Generation, In Silico Clinical Trials, Stent Morphometry Analysis, Python. Develop and apply AI and machine learning methods to derive more generalized and predictive models from existing CFD and FEA results. Use advanced AI techniques to generate 3D anatomical models of coronary vessels and other cardiovascular structures from imaging data. Contribute to the design and execution of in silico clinical t”
What You'll Achieve.
Enhance the understanding of stenting techniques and their impact on coronary vessels. Create high-fidelity, simulation-ready models. Validate device performance and predict patient outcomes in a virtual setting. Enable more detailed predictions of stent performance and patient outcomes.
Industry & Context.
Ability to recognize, analyze, and solve a variety of problems; analytical and problem-solving skills
What They're Looking For.
Must Have
Ph.D. in a relevant field required (Computer Science, Biomedical Engineering, or a related field with a background in AI, machine learning, or deep learning). 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 Have
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.
What You'll Do.
Develop and apply AI and machine learning methods to derive more generalized and predictive models from existing CFD and FEA results.
Use advanced AI techniques to generate 3D anatomical models of coronary vessels and other cardiovascular structures from imaging data.
Contribute to the design and execution of in silico clinical trials, leveraging AI-generated 3D models and simulations to test cardiovascular devices.
Generate more comprehensive stent FEA morphometry results by applying AI techniques to existing FEA simulations.
Work closely with clinicians, engineers, and other researchers within the group to integrate AI-driven methods into current research frameworks.
Handle large datasets, including medical imaging data, and ensure the proper implementation of AI models.
Prepare detailed reports, manuscripts for publication, and grant applications to support ongoing research and future funding.
How You'll Work.
Team & 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. Ability to work independently and collaboratively in a multidisciplinary environment.
Communication Scope
Excellent communication skills, both written and oral; proven track record of publications in peer-reviewed journals
Full Job Description
**_Current Employees:_** If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click [here](https://www.myworkday.com/umiami/d/task/1422$7248.htmld) to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this [tip sheet](https://my.it.miami.edu/wda/erpsec/tipsheets/ER_eRecruiting_ApplyforaJob.pdf). 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 techniqu
Applying for this Postdoctoral Associate role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about University of Miami?
Real rants from real employees. Read before you apply.