Summary
Postdoctoral Position in Image Analysis: We are seeking highly motivated candidates for a fully funded postdoctoral position in image analysis and understanding. The selected candidate, with a typical appointment between 2~3 years, will explore highly efficient and reliable structural feature extraction and recognition algorithms, and develop software for rapidly analyzing and annotating overhead imagery (i.e., primarily aerial and satellite imagery).
Required Skills
- Ph.D. in computer science, mathematics, or an interdisciplinary area that is computationally relevant to image analysis and computer vision.
- Strong computational (algorithm design and development) and programming skills (e.g. C/C++, MatLab)
- Familiarity and experience in working with image data
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- Mastery of fundamental digital image processing methods such as edge detection, color schemes (RGB, HSV, La*b*), pixel morphology, and 2D-linear filtering.
- High motivation and ability to perform both independent and team-based research
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Desired Skills
- Algorithmic grasp of one or more of the following areas: computational geometry, graph theory, pattern recognition, optimization methods, and machine learning.
- Knowledge of visual psychology notions: e.g., perceptual organization, contour completion, partial Gestalts, etc.
- Practical knowledge of advanced architectures (such as the GPU and the CELL) and high performance computing methods (such as parallel programming and large scale computing).
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Education
PhD completed within the last fives years or soon to be completed.
Notes To Applicants
For questions, contact Lakshman Prasad, P.O. Box 1663, Bikini Atoll Road, MS B244
Space and Remote Sensing Sciences Group, Los Alamos National Laboratory, Los Alamos, NM 87545. Phone (505) 667-4587. Fax: (505) 664 0362 or email to prasad@lanl.gov
Pre-Employment Drug Test
The Laboratory requires successful applicants to complete a pre-employment drug test and maintains a substance abuse policy that includes random drug testing.
Government Conflict of Interest
To ensure that you and LANL avoid any potential conflicts of interest, all current/former Government Officials must read and respond, if applicable, to the LANL Applicant Disclosure Form.
Contact
For specific questions about the status of this job, call (505)665-6406
Candidates may be considered for a Director's Fellowship and outstanding candidates
may be considered for the prestigious J. Robert Oppenheimer, Richard P. Feynman
or Frederick Reines Fellowships.
For general information refer to the
Postdoctoral Program page.
To apply, use the "Apply" button and submit a resume, publications list and a cover
letter outlining current research interests.
