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The Department of Radiology at Mayo Clinic in Rochester, Minnesota is seeking a highly motivated and qualified postdoctoral Research Fellow to join the Ultrasound Laboratory led by Dr. Azra Alizad (Department of Radiology) and Dr. Mostafa Fatemi (Department of Physiology and Biomedical Engineering).

Using state-of-the-art research ultrasound systems, our highly productive and multidisciplinary team investigates a broad range of ultrasound-related research topics, with a strong emphasis on developing innovative ultrasound technologies and translating them into clinical practice. Current research areas include but not limited to quantitative high-definition microvasculature imaging, perfusion imaging for peripheral arterial disease, ultrasound elastography, and artificial intelligence (AI)-based medical imaging and diagnostics.

The Research Fellow will have the unique opportunity to work under the joint mentorship of Dr. Alizad and Dr. Fatemi, contributing to both technology development and translational ultrasound research. The fellow will collaborate closely with physicians, scientists, engineers, and trainees across Mayo Clinic to develop, validate, and translate innovative ultrasound technologies into clinical practice.
A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals will train in the research program of a Mayo Clinic principal investigator. Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications and should become competitive for national research grants. Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors, Specialists, and Student Interns sponsored by Mayo Clinic.

Application Instructions

Interested candidates should submit:

• Curriculum Vitae (CV)
• Cover letter describing research interests, experience, and career goals

Applications should be sent to:

Prof. Azra Alizad, MD, Email: (Alizad.azra@mayo.edu), 

Prof. Mostafa Fatemi, PhD, email: (fatemi.mostafa@mayo.edu).

• Ph.D. degree in Electrical Engineering, Biomedical Engineering, Physics, Mechanical Engineering, or a related field.

• Strong background in medical ultrasound, signal processing, image processing, and machine learning.

• Proficiency in MATLAB and/or C/C++ programming.

• Experience with the Verasonics ultrasound research platform is desirable but not required.

• Excellent written and verbal communication skills in English.

• Demonstrated ability to work effectively in a collaborative, multidisciplinary research environment.