POSTDOCTORAL and PH.D. RESEARCH POSITIONS

[Eric Wan]

POSTDOCTORAL and PH.D. RESEARCH POSITIONS

The Center for Spoken Language Understanding (CSLU) at the Oregon
Graduate Institute of Science and Technology (OGI) is seeking
applicants for one Postdoctoral Research Associate and one
Ph.D. Student Fellowship to work with Professor Eric A. Wan
(http://www.ece.ogi.edu/~ericwan/) on a number of projects relating to
speech enhancement and machine learning.

QUALIFICATIONS:

The postdoctoral candidate should have a Ph.D. with a strong background in
signal processing, speech technologies, and neural networks.

The Ph.D. candidate should have a strong background in signal
processing, neural networks, and some familiarity with speech
technologies.  A Masters Degree in Electrical Engineering is
preferred.

Please send inquiries to ericwan at ece.ogi.edu.  Include the following
background information:

  - name and affiliation,
  - a short paragraph describing qualifications and interests
  - a CV including a list of publications and prior work



Eric A. Wan
Associate Professor, OGI


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                            OGI

OGI is a young, but rapidly growing, private research institute
located in the Portland area. OGI offers Masters and Ph.D. programs in
Computer Science and Engineering, Applied Physics, Electrical
Engineering, Biology, Chemistry, Materials Science and Engineering,
and Environmental Science and Engineering.

OGI is located near Portland, a thriving city in the heart of the lush
natural beauty of the Pacific Northwest.  It is centered only a 1-2
hour drive from year-round downhill skiing on dormant volcanos, high
desert, countless forest hiking trails, the Pacific Ocean, and
numerous breweries and wineries.

OGI is an equal-opportunity, affirmative action employer; women,
minorities, and individuals with disabilities are encouraged to apply.

OGI has world renowned research programs in the areas of speech
systems (Center for Spoken Language Understanding) and machine
learning.  (Center for Information Technologies).


Center for Spoken Language Understanding
http://cslu.cse.ogi.edu

The Center for Spoken Language Understanding is a multidisciplinary
academic organization that focuses on basic research in spoken
language systems technologies, training of new investigators, and
development of tools and resources for free distribution to the
research and education community. Areas of specific interest include
speech recognition, natural language understanding, text-to-speech
synthesis, speech enhancement in noisy conditions, and modeling of
human dialogue. A key activity is the ongoing development of the CSLU
Toolkit, a comprehensive software platform for learning about,
researching, and developing spoken dialog systems and new
applications.

Center for Information Technologies

The Center for Information Technologies supports development of
powerful, robust, and reliable information processing techniques by
incorporating human strategies and constraints. Such techniques are
critical building blocks of multimodal communication systems, decision
support systems, and human-machine interfaces. The CIT approach is
based on emulating relevant human information processing capabilities
and extending them to a variety of complex tasks. The approach
requires expertise in nonlinear and adaptive signal processing (e.g.,
neural networks), statistical computation, decision analysis, and
modeling of human information processing.  Correspondingly, CIT
research areas include perceptual characterization of speech and
images, prediction, robust signal processing, rapid adaptation to
changing environments, nonlinear signal representation, integration of
information from several sources, and integration of prior knowledge
with adaptation.