[visionlist] Postdoctoral Positions, Breast Image Analysis - Department of Radiology, University of Pennsylvania

[Kontos, Despina]

Postdoctoral Positions

Computational Breast Imaging Group (CBIG)
Department of Radiology, University of Pennsylvania

The Computational Breast Imaging Group (CBIG) of the Radiology
Department at the University of Pennsylvania is recruiting for
postdoctoral researcher positions. The position will be part of a new
NIH-funded center, the Penn Center for Innovation in Personalized Breast
Cancer Screening (PCIPS), with a goal to improve breast cancer screening
outcomes by developing and evaluating the tools needed to implement
personalized screening strategies.  Personalized breast cancer screening
uses individual patient characteristics to develop recommendations for
which breast imaging modalities should be used, when screening should
occur, and how abnormal screening studies should be managed. 

Project:

The position involves developing methods to analyze breast density and
parenchymal tissue patterns from Digital Mammography (DM) and Digital
Breast Tomosynthesis (DBT) and estimating their predictive value to
determine a woman's risk of breast cancer and breast cancer screening
outcomes. The position will be initially for one year and continuation
during that period and renewal are based on satisfactory performance and
funding availability. Funding for this position is secured for five
years.

 

Qualifications:
Successful candidates should have a PhD (or equivalent) in Electrical or
Biomedical Engineering, or Computer Science, with a background on
biomedical image analysis, feature extraction, segmentation, shape
statistics, and machine learning. Competence in programming methods
(Matlab, C/C++, and LINUX scripting) and quantitative analytical methods
is essential. Good knowledge of biostatistics and previous experience in
breast imaging is a plus. Applicants should demonstrate the ability to
effectively communicate both orally and in writing. Responsibilities
will include designing and implementing experiments, data collection and
analysis, and writing and presenting results.

 

The Computational Breast Imaging Group (CBIG) is a research group of the
Breast Imaging Division of the Radiology department with a mission to
act as a translational catalyst between computational imaging science
and clinical breast cancer research. CBIG collaborates with the Abramson
Cancer Center, the Institute for the Translational Medicine and
Therapeutics, and the Center for Clinical Epidemiology and
Biostatistics. Successful applicants will join a vibrant collaborative
research environment, will work closely with clinical investigators and
gain a first-hand experience of our clinical breast imaging program.


http://www.uphs.upenn.edu/radiology/research/labs/cbig/

http://www.uphs.upenn.edu/radiology/patient/services/women/

 

Applications should include a letter of motivation, curriculum vitae,
and three references. Salary is based on the NIH scale. The position is
open immediately until filled. Starting date can be flexible.

 

To apply send contact:

 

Despina Kontos, Ph.D.
Research Assistant Professor 
Computational Breast Imaging Group (CBIG)
University of Pennsylvania, Department of Radiology
3600 Market St.  Suite 360
Philadelphia PA 19104-2643
ph: 215-615-0827 // fx: 215-349-8972
em: Despina.Kontos at uphs.upenn.edu
<blocked::mailto:Despina.Kontos at uphs.upenn.edu>    

 

The University of Pennsylvania is an equal opportunity employer.  

 

 

 



The information contained in this e-mail message is intended only for the personal and confidential use of the recipient(s) named above. If the reader of this message is not the intended recipient or an agent responsible for delivering it to the intended recipient, you are hereby notified that you have received this document in error and that any review, dissemination, distribution, or copying of this message is strictly prohibited. If you have received this communication in error, please notify us immediately by e-mail, and delete the original message.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://visionscience.com/pipermail/visionlist/attachments/20111102/303b74c3/attachment-0001.htm>