Up to 30% off — ends 2 Aug
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Up to 30% off — ends 2 Aug
ONLY00h00m00s
Ang Li
2 weeks ago
Postdoctoral Researchers in Trustworthy AI/ML for Medical Devices and Regulatory Science University of Maryland, College Park in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
United States
University
University of Maryland at College Park

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About this position
Two postdoctoral researcher positions are available in a collaborative project supported by the U.S. Food and Drug Administration (FDA), the University of Maryland, and the University of Maryland Medical System.
The research sits at the intersection of artificial intelligence, machine learning, medical devices, and regulatory science. The project emphasizes trustworthy AI/ML-enabled medical devices, clinical data challenges, model evaluation, uncertainty quantification, bias analysis, and deployment in healthcare settings.
Relevant research directions include AI for medical imaging, agentic AI for healthcare, post-market signal response, credibility assessment in modeling, trustworthy AI, biomedical data science, computer vision, and healthcare machine learning.
Eligibility highlights: applicants should be U.S. citizens, permanent residents, first-year OPT holders, or J-1 eligible, and must be within 5 years of receiving a Ph.D. degree. A strong background in machine learning, medical AI, biomedical engineering, computer vision, data science, or related areas is expected.
The appointment is initially for 1 year, with a possible extension depending on performance and funding availability. Interested candidates should email their CV to [email protected].
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.
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