Received: from CS.CMU.EDU by A.GP.CS.CMU.EDU id aa05659; 21 Feb 96 20:48:08 EST Received: from ptolemy-fddi1.arc.nasa.gov by CS.CMU.EDU id aa16670; 21 Feb 96 20:47:32 EST Received: from minkowski.arc.nasa.gov by ptolemy.arc.nasa.gov (4.1/) id for ai+ai-jobs@cs.cmu.edu; Wed, 21 Feb 96 17:45:17 PST Received: from localhost.arc.nasa.gov by minkowski.arc.nasa.gov (4.1/SMI-4.1) id AA24618; Wed, 21 Feb 96 17:45:16 PST Message-Id: <9602220145.AA24618@minkowski.arc.nasa.gov> To: ai+ai-jobs@cs.cmu.edu Cc: lowry@ptolemy.arc.nasa.gov Subject: Job: NASA Ames AI/SE Computer Scientist for Automatic Programming Project Date: Wed, 21 Feb 96 17:45:16 PST From: lowry@ptolemy.arc.nasa.gov Sender: ai@A.GP.CS.CMU.EDU NASA Ames AI/SE Computer Scientist for Automatic Programming Project Job Description and Requirements: NASA Ames is seeking a computer scientist with a background in automated reasoning and/or formal methods, with an interest in software engineering applications. PhD or advanced research experience is highly desirable. The job is to participate in project-oriented research, technology development, and application development. Initial responsibilities will be commensurate with education and experience. The objective of the project is to develop technology for next-generation automatic programming systems and advanced software verification and validation systems using formal methods. This is an ongoing project under the leadership of Dr. Michael Lowry. This position is full-time and long-term with significant growth potential. The initial responsibilities and salary are well suited to candidates with a recent PhD, or one obtained within the last ten years. The ideal candidate will have skills both in basic research and application development, and be able to fluidly use both in leading-edge projects. Interpersonal and communication skills, both verbal and written, are also important. The project is oriented to strategic research - that is, focused research whose target is the 5 to 15 year application time horizon. Strategic research differs from applied research in this extended time horizon- the objective is to develop fundamentally new technology, rather than just apply existing technology. Strategic research also differs from pure basic research in being focused, project-oriented, and team-oriented. This position is available immediately. US citizenship or green card status is preferred. The bulk of the work will be performed on site at NASA Ames Research Center in Silicon Valley (the south San Francisco bay area). The job also entails travel to other NASA centers. Background: The goal of the Amphion project is to make knowledge-based software engineering (KBSE) a reality for NASA. KBSE uses techniques from artificial intelligence and formal methods to raise the level at which users program to the specification level (what is the problem to be solved) rather than the detailed code level (how to solve a problem). Programs are generated automatically from specifications. The Amphion project is a pioneer in the real-world use of deductive synthesis for program synthesis. In deductive synthesis, a program and its proof of correctness are generated concurrently through automatic theorem proving. The Amphion project has developed a number of application-oriented automatic programming systems. The project is now aiming toward the development of the Meta-Amphion system - a suite of generic tools for developing automatic programming systems. Initial research toward this goal won the best paper award at the KBSE'95 conference. In the future, the project will also be developing technology for validation and verification of intelligent autonomous systems, such as the next generation deep-space satellites (i.e., NASA's New Millennium initiative). More information can be found on the WWW at http://ic-www.arc.nasa.gov/ic/projects/amphion/index.html To apply: Please send an electronic copy of a cover-letter and resume or curriculum vitae (ASCII or Postscript) to lowry@ptolemy.arc.nasa.gov Please include names and contact information for references, a description of previous research project and/or application development experience, and one or two recent papers (Postscript format preferred. Microsoft RTF, Framemaker MIF, or LaTex format acceptable only if files are completely standard and cross-platform compatible.) If you are unable to send email, a hardcopy of this information can be mailed to: Dr. Michael Lowry MS 269-2 NASA Ames Research Center Moffett Field, CA 94035 Preliminary interviews will be held either by telephone or in the Silicon Valley area. ------- End of Forwarded Message ------------------------------------------------------------------------------- This message | Submissions ai+ai-jobs@cs.cmu.edu was sent via | Subscribe/Unsubscribe ai+query@cs.cmu.edu the AI-JOBS | Available mailing lists include mailing list. | AI-JOBS, LISP-JOBS, PROLOG-JOBS, AI-POSTDOC, AI-PREDOC