Postdoc Position in 3D Digital Breast Tomosynthesis Analysis

University of Pennsylvania

Philadelphia, PA

Job posting number: #7050731

Posted: April 10, 2018

Application Deadline: Open Until Filled

Job Description

The Computational Breast Imaging Group (CBIG) of the Radiology Department at the University of Pennsylvania has open postdoctoral positions. CBIG's mission is to act as a translational catalyst between computational science and cancer imaging research. Work in our group focuses on developing innovative image analysis, machine learning and data science methodologies for multimodality imaging, and also on incorporating such methods into clinically relevant applications. Most of our work to date has been on breast imaging, while more recently expanding more broadly in oncologic imaging, including lung and molecular imaging applications. A priority area is integrating imaging with molecular and genomic biomarkers towards precision medicine prevention and therapy for cancer.

Specific Research Project:
The position advertised will be specifically in developing novel imaging phenotyping approaches to characterize breast parenchymal tissue patterns from digital breast tomosynthesis (DBT) imaging, an emerging 3D x-ray breast cancer screening imaging modality, as imaging biomarkers for breast cancer risk assessment. The position will involve computational methodology development and implementation of 3D image pattern analysis, including machine learning approaches to incorporate imaging with non-imaging clinical breast cancer risk factor data. In addition, the project will include applying such methods to a large clinical database of more than 3000 DBT screening scans. This position is supported by a 5-year NIH R01 grant and is a collaboration between the University of Pennsylvania in Philadelphia, PA, and the Mayo Clinic at Rochester, MN. More details can be found here:

Postdoctoral Position Qualifications:
We are seeking highly motivated individuals with excellent academic track-record, including first-author publications in peer-reviewed journals. Successful candidates should have, or be in the process of completing, a PhD (or equivalent) in Biomedical, Electrical or Computer Engineering, Computer and Information Science, Applied Mathematics, or related field. Ideal applicants should have a background on biomedical image analysis, computer vision, pattern recognition and/or machine learning. Proficiency in quantitative analytical methods and computer programming (e.g., Python, C/C++) is essential. Experience with medical image analysis (e.g., MRI, CT, X-ray, Ultrasound) or statistical methods and software packages (e.g., ITK C/C++ libraries, R/SPSS) is a plus. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively independently and as part of a multidisciplinary team.

Successful applicants will join a vibrant collaborative research environment and will work closely with clinical investigators. Collaborators include faculty in our Radiology department, the Center for Biomedical Image Computing and Analytics (CBICA), the Abramson Cancer Center (ACC), the Penn Institute for Biomedical Informatics (IBI), and the Center for Clinical Epidemiology and Biostatistics (CCEB).

For more information, please visit:

Computational Breast Imaging Group (CBIG):

Center for Biomedical Image Computing and Analytics (CBICA):

Penn Institute for Biomedical Informatics (IBI):
Abramson Cancer Center (ACC):

Center for Clinical Epidemiology and Biostatistics (CCEB):

Penn Biomedical Postdoctoral Programs:
For more details and to apply contact:

Despina Kontos, Ph.D.
Associate Professor
Director, Computational Breast Imaging Group (CBIG)
Center for Biomedical Image Computing and Analytics (CBICA)
University of Pennsylvania, Department of Radiology
Joint Affiliations: Bioengineering, Biostatistics and Epidemiology Graduate Groups
Senior Fellow, Institute for Biomedical Informatics (IBI)
Rm D702 Richards Bldg., 3700 Hamilton Walk, Philadelphia PA 19104
ph: 215-746-4064 // em:

Applications should include a letter of motivation, a curriculum vitae, and names and addresses of three references. The University of Pennsylvania is an equal opportunity employer.

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Job posting number:#7050731
Application Deadline:Open Until Filled
Employer Location:University of Pennsylvania
United States
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