PhD/Masters Research Assistantship

[Wray Buntine]

PhD/Masters Research Assistantships

Field:  probabilistic algorithms, data analysis/mining and 
        optimization for CAD
Place:  Electrical Engineering and Computer Science
        University of California, Berkeley

The CAD group in the EECS Dept. at UC Berkeley is offering research support
for its Masters and Doctoral program.  Research areas include but are not
limited to the use of data mining/analysis/engineering techniques in CAD or
optimization, and probabilistic methods for optimization or specialized
compilation.

The Electronic Design Technology (EDT) field is concerned with computer
automated or computer-assisted design of complex electronic systems.  With
current hardware capabilities advancing rapidly, a key bottleneck is the
development of advanced algorithms for optimization and simulation of
partial, abstract or completed designs.  Our task is to design, code and
experiment with new algorithms, methodologies, and software technologies for
alleviating this bottleneck.  The task can include the use of data
mining/analysis to understand the nature of the optimization task, or in
order to develop adaptive optimization methods.

The ideal candidate should have a background in computer science, electrical
engineering or related disciplines, should be an accomplished or developing
programmer, and should have an interest in the theory and mathematical
techniques used in optimization, data analysis, or probabilistic methods.
Candidates who wish to apply are invited to respond with a copy of their CV
to:

Professor R. Newton     URL:  http://www.eecs.berkeley.edu/~newton
Dr. Wray Buntine        URL:  http://www.eecs.berkeley.edu/~wray
Dr. Andrew Mayer        URL:  http://www.eecs.berkeley.edu/~mayer

Dept. of Electrical Engineering and Computer Sciences
520 Cory Hall
University of California at Berkeley
Berkeley, CA, 94720

The CAD Group           URL:  http://www-cad.eecs.berkeley.edu
EECS, UC Berkeley       URL:  http://www.eecs.berkeley.edu