[fa.arpa-bboard] Research Programmer Openings

arpa-bboard@ucbvax.ARPA (03/10/85)

From: T. C. Rindfleisch <Rindfleisch@SUMEX-AIM.ARPA>

                              STANFORD UNIVERSITY
                        DEPARTMENT OF COMPUTER SCIENCE

The Heuristic Programming Project has two openings for programmers in our
artificial intelligence research:

SYSTEM PROGRAMMER FOR SYMBOLICS LISP MACHINES -- Work in a well-developed
networking environment, programming on Symbolics and related Lisp machines
which interact with other workstations, mainframe computers, gateways and print
and file servers using both IP/TCP and CHAOSNET protocols.  Requires
developing a detailed understanding of the hardware and software aspects of
these systems, developing and maintaining ZetaLisp operating system and
programming environment tools, working closely with research users, and serving
as liaison with system vendors.  An ability to work independently in this
environment is essential.  Experience as a systems programmer, a working
knowledge of ZetaLisp, 4.2 bsd UNIX, TOPS20, ethernet, IP/TCP and CHAOSNET
protocols, and a familiarity with Symbolics hardware are desired.

CONCURRENT LISP DEVELOPMENT PROGRAMMER -- Work on the design and research
implementation of parallel Lisp-like languages and parallel programming
techniques.  This work is part of a concurrent symbolic computing architectures
project working on highly parallel software and hardware systems for
knowledge-based signal understanding.  An ability to work independently while
coordinating work with hardware and problem-solving software designers is
essential.  Candidates should have experience with expert systems, Lisp
programming, and Lisp implementations.  Of particular interest is a knowledge
of the Symbolics 3600 programming environment and CommonLisp implementations.

Stanford offers an excellent benefits package, a competitive salary, and the
opportunity to work in a nationally-recognized research laboratory.  Applicants
should submit a resume, including salary history to: Thomas Rindfleisch,
Heuristic Programming Project, Stanford University, 701 Welch Road, Palo Alto,
CA 94304 or by netmail to RINDFLEISCH@SUMEX-AIM.
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