Publisher
source

Bobak Mosadegh

1 week ago

Postdoctoral Associate in AI for Ultrasound-Based Stroke Detection Weill Cornell Medicine in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

The postdoc will be supported by NIH grants and industry-sponsored research agreements. The primary project is NIH-funded; no stipend amount or tuition details are provided.

Country flag

Country

United States

University

Weill Cornell Medicine

Social connections

How do I apply for this?

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

Apply for this position

Keywords

Computer Science
Biomedical Engineering
Signal Processing
Electrical Engineering
Radiology
Medical Imaging
Deep Learning
Artificial Intelligence
Neuropsychology
Wearable Technology
Medical Science
Ultrasound Technology
Statistics
ML

Suggested positions

About this position

Weill Cornell Medicine, Department of Radiology, is seeking a Postdoctoral Associate / postdoc in AI research focused on an interdisciplinary medical imaging project.

The position centers on developing an ultrasound-based wearable patch to detect emboli in patients at risk for stroke. The work combines artificial intelligence, machine learning, deep learning, medical imaging, signal processing, and wearable devices, with close collaboration among computer scientists, engineers, and medical practitioners.

The postdoc will work under the supervision of Bobak Mosadegh, Associate Professor at Weill Cornell Medicine, and the project is led by multiple WCM professors with expertise spanning clinical stroke diagnosis, ultrasound imaging, AI model training, and optimized edge inference.

Funding: The position is supported by NIH grants and industry-sponsored research agreements. No stipend amount is stated.

Eligibility: Applicants should hold a PhD in computer science, engineering, or a related field, with expertise in training AI / ML / deep learning models for medical applications. Background in medical imaging, signal processing, and/or wearable devices is preferred.

How to apply: Email a CV and cover letter to [email protected] with the subject line “AI PostDoc Applicant”.

Funding details

The postdoc will be supported by NIH grants and industry-sponsored research agreements. The primary project is NIH-funded; no stipend amount or tuition details are provided.

What's required

A PhD in computer science, engineering, or a related field is required. Applicants should have expertise in training AI, machine learning, and deep learning models for medical applications. Preferred background includes medical imaging, signal processing, and/or wearable devices.

How to apply

Email a CV and cover letter to [email protected]. Use the email subject line “AI PostDoc Applicant”.

More information can be found here

Ask ApplyKite AI

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

Professors