PhD research assistantships in machine learning at OGI

[Miguel A. Carreira-Perpinan]

           PHD RESEARCH ASSISTANTSHIPS IN MACHINE LEARNING
                   AT THE OREGON GRADUATE INSTITUTE

*** Please forward this message to students who may be interested ***

Several PhD research assistantships are available in the Adaptive
Systems Laboratory (http://adsyl.cse.ogi.edu) at the OGI School of
Science & Engineering. The Laboratory does research in the broad areas
of machine learning, adaptive signal processing and computational
neuroscience. It consists of 6 core faculty members, 3 postdocs, 7 PhD
students, and several MSc students and technicians. The research
interests of the core faculty are as follows:

  Miguel A. Carreira-Perpinan: machine learning, computational
    neuroscience, applications to speech processing and computer vision.
    http://www.cse.ogi.edu/~miguel

  Deniz Erdogmus: adaptive, nonlinear, and statistical signal
    processing, information theory, applications to biomedical
    engineering, communications, and control systems.
    http://www.cse.ogi.edu/~deniz

  Todd Leen: machine learning, local and mixture models, 
    neurophysiological modeling.
    http://www.cse.ogi.edu/~tleen

  Pat Roberts (NSI): computational neuroscience.
    http://www.ohsu.edu/nsi/faculty/robertpa

  Xubo Song: image processing and analysis, statistical pattern
    recognition, machine learning.
    http://www.cse.ogi.edu/~xubosong

  Eric Wan: neural networks, adaptive signal processing and control.
    http://www.cse.ogi.edu/~ericwan

The Adaptive Systems Laboratory is part of the Department of Computer
Science & Electrical Engineering. Close ties exist with the nearby
located Center for Spoken Language Understanding, the Center for Human
Computer Communication, and the Department of Biomedical Engineering
(at OGI), and the Neurological Sciences Institute and the medical
school at OHSU.

OGI is one of the four schools of Oregon Health & Science University
(OHSU). OGI is located 12 miles west of Portland, Oregon, in the heart
of the Silicon Forest. Portland's extensive high-tech community,
diverse cultural amenities and spectacular natural surroundings
combine to make the quality of life here extraordinary. To learn more
about the department, OGI, OHSU and Portland, please visit
http://www.cse.ogi.edu.

Applicants should have a university degree in an area such as computer
science, electrical engineering, physics or mathematics, and solid
mathematical and programming skills. Students with a Master's degree
already completed are preferred. Background in machine learning,
image/speech processing or computer vision is highly desirable. The
assistantships cover tuition, a competitive stipend, and travel to
research conferences. Students of any nationality may apply.

To apply, please send a statement of purpose, academic transcripts
(GRE and TOEFL if applicable), a CV, and a list of two references to
adsyl-inquiry at cse.ogi.edu.

Interviews are possible at the upcoming NIPS or AISTATS conferences.