Summer Sale

Up to 30% off — ends 2 Aug

ONLY00h00m00s

Publisher
source

Patrick M Boyle

Top university

1 month ago

Postdoctoral Researchers in Translational AI, Machine Learning, and Cardiovascular Imaging/ECG at University of Washington University of Washington in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
Country flag

Country

United States

University

University of Washington

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

More information can be found here

Keywords

Computer Science
Biomedical Engineering
Information Technology
Deep Learning
Biology
Computational Biology
Medical Science
Cardiac Imaging
Self-supervised Learning
Echocardiography
Multimodal Imaging
Statistics
Machine learning

Suggested positions

About this position

Two fully funded postdoctoral researcher positions are open at the University of Washington in the CardSS Lab, focused on translational AI and machine learning for cardiovascular and clinical applications.

The roles sit at the intersection of biomedical engineering, computer science, data science, computational biology, and clinical medicine, with collaboration across UW, Fred Hutch, Duke, Mass General Brigham, and the Broad Institute.

There are two distinct but complementary projects:

Echo-ML (co-PIs: Lindsay Edwards, Duke; Eric Chow, Fred Hutch) covers deep learning for echocardiography, multimodal imaging plus EHR models, synthetic/generative AI for pediatric cardiovascular imaging, and clinically interpretable AI for cardio-oncology.

ECG-ML (co-PI: Neal Chatterjee, UW) focuses on AI-enhanced ECG analysis, sudden cardiac arrest prediction, foundation/self-supervised ECG models, and athlete screening / population-scale cardiovascular AI.

The positions are fully funded for at least one year, with possible renewal depending on progress and continued funding. The post specifically welcomes trainees from quantitative and computational backgrounds.

Interested applicants should first contact the poster via LinkedIn DM. Eligible candidates will then be asked to email a CV and a brief statement of research interests.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors