Oct 13, 2009

JOB: Postdoctoral Fellow in medical image processing, Michigan University

Position: Postdoctoral Fellow in medical image processing
Organization: University of Michigan
Location: Ann Arbor, Michigan

Description:
A research laboratory in the Department of Radiology, University of Michigan is looking for a highly-qualified, self-motivated post-doctoral fellow to join our research program in computer-aided diagnosis. The research will involve development of digital image processing, computer vision, image analysis methods and software for
detection and analysis of abnormalities on medical images such as mammograms, computed tomograms, tomosynthesis images, MR and ultrasound images.

Qualifications:
The ideal candidate will have
¢ a PhD degree in computer science, electrical or biomedical engineering, or medical physics,
¢ training or work experience in medical imaging, digital image processing, computer
vision, pattern recognition, artificial intelligence, neural networks, machine learning, and statistics,
¢ hands-on experiences in software design and implementation in C/C++ environment,
¢ strong communication skills, and ability to work independently and with an interdisciplinary team. Any of the following qualifications will be a plus
¢ knowledge and experience in medical x-ray imaging,
¢ experience in development of graphics software and user interfaces,
¢ experience in development of software in a group environment.

Candidates who possess a strong motivation to pursue academic research are encouraged to apply. Interested applicants should send their curriculum vitae and three names and telephone numbers of references to the following address. The University of Michigan is a non-discriminatory, affirmative action Employer.

Contact:

Chuan Zhou, PhD
University of Michigan
1500 E.Medical Center dr.

Phone: 734-6478554
Fax:

Email: chuan@umich. edu


Please quote 10 Academic Resources Daily in your application to this opportunity!


Join us and get free scholarship information to your inbox. Fill in the form below with your email address:

Delivered by FeedBurner