|Title: Ph.D. Position(s) in Computer Vision||Posted: November 25, 2013|
|Company/Institution: University of California at Merced|
|Location: Merced, California|
Description: Highly-motivated PhD students are sought to start in fall 2014 under
Professor Shawn Newsam in the areas of computer vision, image analysis, spatial
analysis, and multimedia.
Openings to work on the following two projects are anticipated:
1) The NSF CAREER funded project "Social Multimedia as Volunteered Geographic
Information". This project investigates georeferenced social multimedia for
geographic discovery. Specifically, community-contributed ground-level images
and videos are used to map what-is-where on the surface of the Earth in much the
same way that overhead images taken from air- or space-borne platforms have been
used for decades in the traditional field of remote sensing. The over arching
premise is that georeferenced social multimedia data can be considered a form of
volunteered geographic information. Further, it can enable geographic discovery
not possible through traditional means.
More information about the project can be found at:
2) High-resolution overhead image analysis. The increased resolution and
availability of overhead images such as acquired from air- or space-borne
platforms can help solve a number of important problems relevant to society. I
have done a significant amount of work in this area including geographic image
retrieval and classification. I am looking to recruit a strong PhD student to
focus on spatial models for classification and object detection. Of particular
interest are probabilistic models such as Markov random fields, conditional
random fields, etc. It is anticipated the methods developed for analyzing
overhead images will generalize to other automated image understanding problems
in computer vision.
Funding for students is expected to be in the form of research and/or teaching
- A BS or preferably an MS in CS, EE, or related areas.
- Strong mathematical background.
- Strong programming ability.
- Experience/interest in one or more of the following:
-- Image processing and computer vision
-- Pattern recognition and machine learning
-- Multimedia data analysis
-- Geographic information systems/sciences
- Desire to publish in top conferences and journals.
For further information:
- Contact Professor Newsam: firstname.lastname@example.org
- Professor Newsam's research:
- EECS graduate group at UC Merced:
Application Instructions: To be considered for the above positions, you must apply to the EECS graduate
program at UC Merced. For more information about the application procedure,
- Application procedure:
The application deadline is January 15, 2014.
The selection process is expected to be very competitive.
PLEASE BE SURE TO MENTION PROFESSOR SHAWN NEWSAM and your interest in the
project(s) above in your Statement of Purpose.
The Electrical Engineering & Computer Science (EECS) graduate group at UC
Merced consists of 12 faculty members and 32 graduate students. The
group has collective interests in machine learning, computer vision, speech
processing, computer graphics, robotics, sensor networks, distributed systems,
databases, intelligent systems, and computational neuroscience, among others
areas. UC Merced is the tenth campus of the University of California and the
first American research university built in the 21st century. It is located in
the California Central Valley, approximately one hour drive from the Yosemite
National Park and two hours from the San Francisco Bay Area.