Research Assistant

Research Assistant

University Overview

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Employers By State in 2021.

Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.

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Posted Job Title
Research Assistant

Job Profile Title
Temporary Employee - Non-Exempt

Job Description Summary
Project Overview: In this project we propose a fundamentally different approach for diagnostic x-ray imaging. In conventional x-ray imaging, image contrast is formed by attenuation based on the interpretation of x-rays as particles. If one interpreted x-rays as electromagnetic waves instead of particles, other wave-optical interactions would occur and result in diffraction, refraction, phase-shift, and small-angle scattering. In other words, detecting such wave-optical interactions could extend conventional x-ray imaging to become a multi-contrast modality that can provide a darkfield signal which reveals indirect structural information on the nanometer and micrometer length scale. X-ray scattering on gas-filled pulmonary alveolar structures generates a darkfield signal, which means that x-ray darkfield imaging enables a currently unavailable in-vivo assessment of lung alveoli. Healthy lung parenchyma generates a strong darkfield signal, and the darkfield signal decreases when the integrity of the alveoli is affected by various lung diseases The outcome of this project will be a speckle-based x-ray darkfield imaging solution that is a relatively simple upgrade to standard x-ray systems. By focusing on improving conventional x-ray systems, the results of this research will not require potentially expensive new imaging modalities.

Job Description

Project Overview: In this project we propose a fundamentally different approach for diagnostic x-ray imaging. In conventional x-ray imaging, image contrast is formed by attenuation based on the interpretation of x-rays as particles. If one interpreted x-rays as electromagnetic waves instead of particles, other wave-optical interactions would occur and result in diffraction, refraction, phase-shift, and small-angle scattering. In other words, detecting such wave-optical interactions could extend conventional x-ray imaging to become a multi-contrast modality that can provide a darkfield signal which reveals indirect structural information on the nanometer and micrometer length scale. X-ray scattering on gas-filled pulmonary alveolar structures generates a darkfield signal, which means that x-ray darkfield imaging enables a currently unavailable in-vivo assessment of lung alveoli. Healthy lung parenchyma generates a strong darkfield signal, and the darkfield signal decreases when the integrity of the alveoli is affected by various lung diseases The outcome of this project will be a speckle-based x-ray darkfield imaging solution that is a relatively simple upgrade to standard x-ray systems. By focusing on improving conventional x-ray systems, the results of this research will not require potentially expensive new imaging modalities.

Job Location - City, State
Philadelphia, Pennsylvania

Department / School
Perelman School of Medicine

Pay Range
$7.25 - $155.75

Affirmative Action Statement
Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.

Special Requirements
Background check may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

To apply, visit https://wd1.myworkdaysite.com/en-US/recruiting/upenn/careers-at-penn/job/HUP/Research-Assistant_JR00046204

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