Open Postdoctoral Positions

The Laboratory for Neural Engineering and Control

 Multiple postdoc positions funded by NIH and DARPA projects are available in the Laboratory for Neural Engineering and Control in the Department of Biomedical Engineering at Columbia University (http://neclab.bme.columbia.edu/). The projects investigate the role of the locus coeruleus (LC) – norepinephrine (NE) system in modulating perception, behavior and learning, and how to accelerate perceptual learning through control of LC activity.

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 Engineering, Neuroscience, Electrical & Computer Engineering, or a related field. Ideal applicants should have a background on electrophysiology, behavioral training of rodents, and quantitative analytical methods. Experiences in optical imaging 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.

Applicants should submit a CV, including a list of publications, a brief description of research interests, and a list of three references. All application materials as well as any inquiries should be sent to qi.wang@columbia.edu. Salary will be commensurate to the candidate qualifications.

Columbia University has a vibrant collaborative research environment with strong interactions between the neuroscience and engineering community. Details about institutional support to postdoctoral scientists at Columbia University may be found at the Office of Postdoctoral Affairs, http://postdocs.columbia.edu/

Positions at Other Universities

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 imaging science and cancer research . Work in our group focuses on developing innovative machine learning and data science methodologies for multimodality image analysis 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.
 
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, 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 preferable. 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, 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 Center for Biomedical Image Computing and Analytics, 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:

Computational Breast Imaging Group (CBIG): 
http://www.uphs.upenn.edu/radiology/research/labs/cbig/ 
 
Center for Biomedical Image Computing and Analytics (CBICA):
http://www.cbica.upenn.edu/ 
 
Center for Clinical Epidemiology and Biostatistics (CCEB):
http://www.cceb.upenn.edu/ 
 
Penn Radiology Breast Imaging:
http://www.uphs.upenn.edu/radiology/patient/services/women/ 
 
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
Rm D702 Richards Bldg., 3700 Hamilton Walk, Philadelphia PA 19104
ph: 215-746-4064 // em: Despina.Kontos@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.

 


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