[visionlist] University of Pennsylvania, Postdoctoral Positions in Medical Image Analysis

Kontos, Despina Despina.Kontos at uphs.upenn.edu
Fri Apr 5 17:30:11 GMT 2013


The Computational Breast Imaging Group (CBIG) of the Radiology
Department at the University of Pennsylvania has open postdoctoral
positions. 

CBIG is a research group within the Breast Imaging Division and the
Center for Biomedical Image Computing and Analytics with a mission to
act as a translational catalyst between computational imaging science
and breast cancer research. We are developing a research program
investigating the role of quantitative imaging as a biomarker for
guiding personalized breast cancer screening, prognosis, and treatment.
Work in our group focuses both on developing innovative methodology for
multimodality breast image analysis (e.g., segmentation, feature
extraction, pattern analysis, etc.) and also on incorporating such
methods into clinically relevant applications. 

Postdoctoral Position Qualifications:
We are seeking highly motivated individuals with excellent academic
track-record, including 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, or related field, including
Bioinformatics and Biostatistics. 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., Matlab, C/C++, ITK)
is essential. Experience with medical image analysis (e.g., MRI, CT,
Mammography, Ultrasound) or statistical methods and software packages
(e.g., SPSS) is desirable. Additional experience in Bioinformatics or
Biostatistics is a plus. Applicants should demonstrate excellent oral
and written communication skills, and the ability to work effectively
both independently and as part of a multidisciplinary team.

Successful applicants will join a vibrant collaborative research
environment, will work closely with clinical investigators, and will
gain a first-hand experience of our breast imaging program.
Collaborators include faculty in our Radiology department, the Abramson
Cancer Center, the Institute for the Translational Medicine and
Therapeutics, and the Center for Clinical Epidemiology and
Biostatistics.

For more information, please visit: 

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

 

Center for Biomedical Image Computing and Analytics
http://www.cbica.upenn.edu/  

Penn Radiology Breast Imaging:
http://www.uphs.upenn.edu/radiology/patient/services/women/

Penn Radiology Research Labs:
http://www.uphs.upenn.edu/radiology/research/labs/

Penn Biomedical Postdoctoral Programs:
http://www.med.upenn.edu/postdoc/ 

For more details and to apply contact:

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

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.   

 

 



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/20130405/ae19d8be/attachment-0001.htm>


More information about the visionlist mailing list