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University of Missouri:
The University of Missouri is highly ranked as postdoctoral fellowship training center and is a leading research university. It one of only six American universities with the greatest breadth of academic units on a single campus that includes engineering, science, mathematics, medicine, business, law, journalism, agriculture, natural resources, environmental sciences, veterinary medicine, health sciences, nursing, education, humanities, and liberal arts. This enables novel collaborations in multidisciplinary research to be pursued, for example, engineering and medicine. UMC’s current endowment campaign goal is to raise $1 billion by the end of 2008 – the 26th public university in the nation to have such a campaign.

Multi-modal, multi-spectral, multi-view imaging is creating a new class of challenging research problems in image registration, rectification, localization, 3D structure estimation, object segmentation, object classification, object tracking, event analysis and multi-dimensional visualization. These common computer vision, image analysis and visualization problems are shared across multiple disciplines. We are interested in achieving realtime parallel processing using multicore GPU or Cell clusters. In terms of 3D visualization we want to track fluid or particle flows and segment large volumetric datasets using 3D levelsets.

In the biomedical area the NIH project is to locate, segment, classify and track cells in live-cell microscopy, cell lineage and cell cycle analysis. We are also developing multiphase level-set image segmentation and classification algorithms for computer aided diagnosis of large histopathology imagery.

In satellite image analysis the project is to improve hurricane forecasting by assimilating NASA satellite observations into non-parameterized numerical cloud resolving models using automatic deformable 2D/3D cloud tracking and flow visualization.

Eligibility: Desirable/required skills include a doctoral degree in EECS or related field with a strong publication record. A solid background is essential in image processing, computer vision, pattern recognition and computer graphics with excellent programming experience (C++ and Matlab) including numerical PDE solvers, OpenGL, Qt GUI design, use of libraries like VTK, ITK, OpenCV, Boost, etc. Knowledge of level-sets, kernel classifiers, pyramid data handling techniques and biomedical or geophysical applications would be highly advantageous.

Apply: Send email with CV including two references to: palaniappank(AT)missouri.edu

Contact:
Prof. K. Palaniappan
Dept. of Computer Science
329 Engineering Building West
Univ. of Missouri-Columbia
Columbia, MO 65211-2060
Ph (573) 884-9266,Fax (573) 882-8318
http://meru.cs.missouri.edu