PHD STUDIES IN MACHINE LEARNING AT THE UNIVERSITY OF CALIFORNIA, MERCED

I am looking for one or more new PhD students to start in Fall 2009, in
the general area of machine learning. Specific interests include
spectral and probabilistic algorithms for manifold learning
(dimensionality reduction) and clustering; mean-shift algorithms; and
others. All these can often be tied with specific applications in
computer vision (eg segmentation, articulated pose tracking, image
registration); computer speech (eg articulatory inversion, audiovisual
speech processing); robotics and computer graphics (eg inverse
kinematics); sensor networks; and related areas.

I'm looking for individuals strongly motivated to earn a PhD in
computer science or electrical engineering and publish their work in
leading conferences and journals in the areas mentioned above. 
Students may be funded by teaching assistantships and external grants.

Desired qualifications:
- A BS or preferably an MS in CS, EE or related areas.
- Strong mathematical basis (multivariate calculus, linear algebra,
  probability & statistics, numerical analysis, information theory, etc.).
- Strong programming ability in Matlab and C.

For further information:
- My research: http://faculty.ucmerced.edu/mcarreira-perpinan.
  For a sample of specific work I'm currently doing, see my recent papers
  at NIPS, ICML, AISTATS, CVPR, Eurospeech, ICRA, ICASSP.
- EECS graduate group at UC Merced: http://eecs.ucmerced.edu.
- Application procedure: http://graduatedivision.ucmerced.edu.
- Application deadline: January 15, 2009.

The Electrical Engineering & Computer Science (EECS) graduate group at UC
Merced consists of 9 core faculty, 18 PhD students and several MS
students. The group has collective interests in machine learning, computer
vision, speech processing, computer graphics, robotics, sensor networks,
intelligent systems and computational neuroscience, among others. 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, at one hour drive from the Yosemite
National Park and two hours from San Francisco.

-- 
Miguel A. Carreira-Perpinan
EECS, School of Engineering, University of California, Merced
5200 N. Lake Road. Merced, CA 95343
Tel. 209-2284545, Fax 209-2284047
http://faculty.ucmerced.edu/mcarreira-perpinan