No subject

[austin@minster.cs.york.ac.uk]

Parallel Neural Hardware for High Performance Pattern Matching
3 Year research post



An individual with a keen interest in designing high performance
computing hardware is required to join a team working on the design of
a very high performance pattern matching machine (search engine). The
post involves the design from logic gate level, through parallel
sub-systems to the low level software drivers of a machine based on a
fine grained implementation of binary neural network based methods. We
are looking for candidates with applicable experience in digital
hardware design and implementation of low level software in C and
C++. Knowledge of FPGA devices and CAD support tools and the design of
high performance hardware will be necessary. Knowledge of neural
networks and p methods is an advantage but not essential.

To support the post are first class facilities and technical
support. Working with a team of researchers and technicians, the
projects major aim is to scale up our present pattern matching
architecture (AURA) to a flexible parallel architecture to solve a
wide range of problems being developed in conjunction with British
Aerospace, The Post Office and other major international
companies. Example applications are matching in very large textual,
financial and structural databases.

The post offers a unique opportunity to individuals who have a proven
record of achievement to be involved in the development of a leading
edge technology with exciting prospects for the future.

The post is funded by the UKs EPSRC (government funding council) in
collaboration with The Post Office Research Group and British
Aerospace plc, under the direction of Dr. Jim Austin.  Details of this
project, further details of the post and related publications can be
found on our web page at http://www.cs.york.ac.uk/~arch/nn/aura.html

The research is to be undertaken within the Advanced Computer
Architectures Group, one of the academic staff), under the supervision
of Dr. Jim Austin and in partnership with Ken Lees. The Department is
one of the leading Computer Science Departments in the UK, and is
rated 5* for research, in recognition of this, the University has
provided us with a brand new building which will open in
Oct. 1997. The group is internationally known for its work in binary
neural networks and their high speed hardware implementation. It has
extensive computer and technical support. The successful applicant can
look forward to joining a very active and thriving research team.

Applications are invited from individuals with a good honours degree
and a PhD in a relevant 15,159 - 20,103 UKpounds applications should
be sent to the Personnel Office, University of York, York YO1 5DD,
(email: jobs at york.ac.uk) quoting reference number 6049.

The closing date for applications is 1 October 1997.