ANN: Tenth Annual AAAI/SIGART Doctoral Consortium (Deadline Feb. 4, 2005)

Kiri Wagstaff

From:	Kiri Wagstaff
Subject:	ANN: Tenth Annual AAAI/SIGART Doctoral Consortium (Deadline Feb. 4, 2005)
Date:	Mon, 17 Jan 2005 02:02:38 GMT

AAAI and SIGART invite students to apply for the Tenth AAAI/SIGART
Doctoral Consortium. The Doctoral Consortium (DC) provides an
opportunity for a group of Ph.D. students to present their research and
explore their career objectives with a panel of established researchers
in artificial intelligence.

The consortium has the following objectives:

* To provide a setting for mutual feedback on participants' current
research and guidance on future research directions.
* To develop a supportive community of scholars and a spirit of
collaborative research.
* To support a new generation of researchers with information and
advice on academic, research, industrial, and nontraditional career
paths.
* To contribute to the conference goals through interaction with other
researchers and participation in conference events.

The Doctoral Consortium will be held as a workshop on July 9-10, 2005,
immediately before the main AAAI conference. Student participants in
the Doctoral Consortium will receive complimentary conference
registration and a fixed alllowance for travel/housing.

The DC is designed primarily for students who are at or near the point
of submitting their dissertation proposals, with one or two years
remaining before completion of the Ph.D. All registered AAAI-05
attendees are welcome to attend the Doctoral Consortium.

Application packages are due to AAAI on February 4, 2005. For more
details, see:

http://www.litech.org/~wkiri/dc05.html

The Call for Applications is available at:

http://www.aaai.org/Conferences/National/2005/aaai05-dccall.pdf

Please direct any questions to:

Kiri Wagstaff
kiri.wagstaff@jpl.nasa.gov
SIGART/AAAI Doctoral Consortium Chair, 2005

--
------ Kiri Wagstaff, Ph.D. ------ kiri.wagstaff@jpl.nasa.gov ------
Research Staff at the Jet Propulsion Laboratory
Machine Learning Systems Group: http://ml.jpl.nasa.gov/
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