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POST-DOCTORAL POSITION AVAILABLE

The Machine Learning and Perception Group at The Ricoh California 
Research Center seeks an exceptionally talented candidate for a one-year 
post-doctoral position in either of the following two areas:

1) Computational learning theory
The ideal candidate will have knowledge of theories of learning and 
generalization (Vapnik-Chervonenkis dimension, Kolmogorov methods, 
Probably Approximately Correct methods,...), information theory (Akaike 
and Fisher information, Cramer-Rao bounds,...), and connectionist learning 
methods (backpropagation, Boltzmann learning,...).  C programming ability 
and experience with parallel and connectionist learning systems is highly 
desirable.  The successful candidate will have access to extremely powerful 
learning machines at Ricoh, such as an Adaptive Solutions, Inc. CNAPS 
Neurocomputer and an in-house giga-connection update/second Boltzmann 
learning machine, for fundamental and applied studies of computational 
learning theory.

2) Computer vision and understanding
The ideal candidate will have knowledge and experience with visual feature 
detection methods, motion estimation, shape from shading, adaptive visual 
processing, model based recognition, and be an accomplished C 
programmer.  A knowledge of lip reading and speech recognition is highly 
desirable.

A completed dissertation is expected.

The Ricoh California Research Center
Nestled at the base of the panoramic Palo Alto Hills, The Ricoh California 
Research Center is adjacent to hundreds of acres of wildland and is within 
walking distance of Stanford University and easy driving distance of 
Berkeley, Santa Cruz and other San Francisco Bay Area research centers.  
Research areas at CRC include Machine Learning and Perception; Color 
Image Processing; Document Analysis; Remote Diagnostics and Parallel 
Image Processing.  There is an extensive UNIX-based network of SUN, 
Silicon Graphics and other workstations, graphics capability, and an in-
house learning machine mentioned above.  We expect to have an ASI 
Neurocomputer by the time the post-doc has arrived.  Accounts on 
Connection Machine and MassPar supercomputers are also possible.

Please send a letter describing research interests and curriculum vita and one 
or two representative papers/conference papers/dissertation chapters to the 
address below.  (Please do not have letters of recommendation sent at this 
time; neither should you send your vita by e-mail.)

Questions may be addressed to:  stork@crc.ricoh.com or the address below.
Send application to:

Dr. David G. Stork
Ricoh California Research Center
2882 Sand Hill Road Suite 115
Menlo Park, CA 94025-7022			attn:  Post-doc position

Ricoh Corporation, an equal opportunity/affirmative action employer.
M/F/H/V.  Must be able to legally work in the U.S. on a full time basis.