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
United States
University
Weill Cornell Medicine

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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”.
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