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Pennsylvania State University

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Postdoctoral Scholar in Ultrasound Imaging and Quantitative Brain Imaging at Pennsylvania State University Pennsylvania State University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral appointment with compensation and benefits provided according to Penn State University guidelines for postdoctoral appointments. The position is a term appointment; continuation beyond the term depends on university need, performance, and/or availability of funding.

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Country

United States

University

Pennsylvania State University

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Keywords

Computer Science
Biomedical Engineering
Signal Processing
Electrical Engineering
Medical Imaging
Neuroimaging
Medical Science
Hardware Engineering
Ultrasound Technology
Image Reconstruction
Computational Imaging
Physics

Suggested positions

About this position

Postdoctoral Scholar opening in Ultrasound Imaging at Pennsylvania State University (University Park, Pennsylvania, United States) in the Ultrasound in Imaging and Therapy (UIT) Lab led by Dr. Mohamed Almekkawy.

The project is a recently funded five-year multidisciplinary effort focused on quantitative brain imaging and tissue characterization using advanced ultrasound technologies. The work combines ultrasound system and hardware development with signal processing, computational imaging, image reconstruction, and translational studies with clinicians at Penn State College of Medicine and Penn State Health Milton S. Hershey Medical Center.

Responsibilities include PCB design, FPGA-based components, transmit/receive electronics, system synchronization, high-speed data acquisition, processing raw RF/channel data, developing research software, and investigating inverse-problem approaches. Experimental validation will use tissue-mimicking phantoms, ex vivo specimens, and clinical imaging studies involving human participants under approved protocols.

Applicants should have a Ph.D. in Electrical Engineering, Computer Engineering, Biomedical Engineering, Computer Science, Medical Physics, or a closely related field by the start date. Final-stage Ph.D. candidates may apply if the degree will be completed before the appointment begins. Preferred experience includes biomedical ultrasound, computational or quantitative ultrasound, ultrasound computed tomography, and deep learning for medical imaging.

This is a full-time postdoctoral appointment with compensation and benefits according to Penn State guidelines. Applications are reviewed immediately and accepted until the position is filled.

To apply, submit a CV, cover letter, 2–3 representative peer-reviewed publications, and three professional references through Workday.

Funding details

Full-time postdoctoral appointment with compensation and benefits provided according to Penn State University guidelines for postdoctoral appointments. The position is a term appointment; continuation beyond the term depends on university need, performance, and/or availability of funding.

What's required

Applicants should hold a Ph.D. in Electrical Engineering, Computer Engineering, Biomedical Engineering, Computer Science, Medical Physics, or a closely related field by the appointment start date. Candidates in the final stages of the Ph.D. who expect to defend soon may apply if the doctorate will be completed before the postdoctoral appointment begins. Preferred experience includes biomedical ultrasound, especially computational or quantitative ultrasound, ultrasound computed tomography, and deep learning for medical imaging. Strong problem-solving, scientific programming, scientific writing, communication, and teamwork skills are preferred.

How to apply

Submit a CV, a cover letter aligning prior experience and research interests with the position, two to three representative peer-reviewed journal publications, and the names and contact information of three professional references. Apply through Workday for external applicants; current Penn State employees and students should apply internally through Workday.

More information can be found here

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