Computer Vision Postdoctoral Research Position
Engineering Science and Technology Division
Oak Ridge National Laboratory, Oak Ridge, Tennessee
May 11, 2004
NOTE: This position has recently been filled (as of November 2004). Please check back for other opportunities with the ISMV Group and ORNL
BASIC FUNCTION OF POSITION:
The Image Science & Machine Vision Group of the Engineering Science and Technology Division seeks applicants for a post doctoral position. Appointment is for a full-time, one-year position with potential for renewal up to three years, dependant on funding availability. The group conducts applied research and development in computer vision in the areas of industrial inspection, biomedical imaging, and national security. Current topical R&D areas include x-ray computed tomography and SPECT imaging; alternative gamma-ray technologies for passive and active imaging; optical interferometric microscopy technologies; human face detection, tracking, and robust face recognition; digital watermarking, and content-based image retrieval, among others. The group performs research for the U.S. Department of Energy, other Federal agencies, and private industry and industry consortiums. The group consists of 12 research staff members and post-graduates who specialize in sensors, microscopy, metrology, and inspection; image synthesis and processing; pattern recognition; and event modeling, detection, and classification.
BRIEF DESCRIPTION OF MAJOR DUTIES AND RESPONSIBILITIES:
Through this post doctoral position, the candidate will perform directed research in a biomedical application of content-based image retrieval (CBIR) technology for predicting eye pathologies. Early detection and treatment of prevalent blinding eye disease can have a significant impact on reducing vision loss and blindness worldwide. The candidate will participate in the development, testing, and validation of a unique image-based retinal screening and diagnostic method that leverages CBIR technology for automated diagnosis with applications to telemedicine. In collaboration with the University of Tennessee Health Science Center (UTHSC) Department of Ophthalmology, we are using digital retinal photography and optical coherence tomography to image and automatically quantify specific disease-based changes in the retina. Through this research an extensive image database of retinal disease states for CBIR analysis will be developed, and its clinical application will be validated through UTHSC Internal Review Board approved clinical studies.
EXPERIENCE AND EDUCATION REQUIREMENTS:
Successful candidates must have a Ph.D. (completed within the past five years) in electrical or computer engineering or computer science with hands-on experience in researching, developing, prototyping, testing, and troubleshooting computer vision applications. Skills and knowledge in signal and image processing, feature analysis, pattern recognition and CBIR are sought. Excellent communication skills, leadership skills, and the desire to work in a team environment on technically challenging problems are required. Initiative and motivation to perform independent research with minimal direction is expected.
APPLICATION INFORMATION:
This appointment is offered through the ORNL Postdoctoral Research Associates Program, which is open to all qualified U.S. and non-U.S. citizens without regard to race, color, age, religion, sex, national origin, physical or mental disability, or status as a Vietnam-era veteran or disabled veteran.
Qualified candidates are invited to send a resume and a list of three or more references to:
Teresa D. Ferguson
Engineering Science and Technology Division
Oak Ridge National Laboratory
P. O. Box 2008, Oak Ridge
TN 37831 6168
or E mail to fergusontd@ornl.gov
Additional information about the Oak Ridge National Laboratory is available from http://www.ornl.gov
ORNL, a multiprogram research facility managed by UT Battelle, LLC, for the U.S. Department of Energy, is an equal opportunity employer committed to building and maintaining a diverse work force.
|
