Received: from GLINDA.OZ.CS.CMU.EDU by A.GP.CS.CMU.EDU id aa01088; 7 Aug 95 16:07:58 EDT Date: Mon, 7 Aug 95 16:05:11 EDT From: AI.Repository@GLINDA.OZ.CS.CMU.EDU To: ai+lisp-jobs@cs.cmu.edu Subject: Job: AI Applications to Education in Lisp at Univ. of Pittsburgh (PA) Cc: ai+ai-jobs@cs.cmu.edu Sender: ai@A.GP.CS.CMU.EDU From: suthers+@pitt.edu (Daniel D Suthers) Subject: US-PA-Pitt: AI Programming (Lisp), Computer-based Learning, LRDC Date: 31 Jul 1995 15:02:18 GMT Organization: LRDC, University of Pittsburgh ============================================================================== Systems Analyst Position: AI applications to Education in Lisp Coaching, Explanation, etc. in Networked Computer-based Learning Environment LRDC, University of Pittsburgh, Pittsburgh PA. ------------------------------------------------------------------------------ Position Description: "Systems Analyst II", full time, 2 year position (assuming adequate performance during 6 month provisional period) with possible renewal contingent on funding. ARPA funded project: "Collaboration, Apprenticeship, and Critical Discussion: Groupware for Learning," Alan Lesgold, Sandy Katz, Dan Suthers, and Arlene Weiner principal investigators. Supervisor: Dan Suthers. Start in September or October 1995. The successful candidate will design, implement, and test various applications of Artificial Intelligence techniques to education, including automated coaches, problem solvers, explanation facilities, tutoring strategies, and user modeling techniques. Work will most likely involve writing Common LISP applications in a Unix environment. The functionality provided by these applications will be made available by a server to client interfaces implemented by other programmers on Mac or PC platforms. Hence interaction with external programs and careful attention to memory management will be required. Some implementation of AI functionality in other languages suitable for client platforms may be required in cases where server-based functionality is infeasible (e.g., for simulation engines which control real-time displays). Ability to work well with other programmers who will be implementing the server and user interfaces is essential. Flexibility and quick response are requisites, since this project is committed to revision and redesign as needed, and to producing quick prototypes and usable systems in a relatively short time. Robustness of software will be achieved by group design discussions, empirical testing, and scrutiny and possible revision of code by others. Lone hackers need not apply. Minimum Knowledge/Education: M.S. in Computer Science or equivalent experience. Minimum Experience Level: Prior experience with Common LISP and Artificial Intelligence techniques is essential. Successful participation in a substantial multi-programmer software project. Preferred Additional Experience: Prior experience in developing Intelligent Tutoring Systems. Background in cognitive science, education, or the psychology of learning. Experience with CGI and/or client/server communications. Salary Range for Systems Analyst II: minimum 25,320, "control point" (beyond which significant justification is required) 35,460. Excellent benefits. We are also hiring for two other Systems Analyst positions. We reserve the right to reallocate assignments and rewrite job descriptions to fit successful candidates' qualifications and experience. Hence, if your background does not match this description exactly but you have other experience that may be relevant, you should read the other job postings. If there is a match, indicate in your application that your experience is relevant to a mixture of the positions. ------------------------------------------------------------------------------ Duties, responsibilities, performance standards, and percentages of time: PLANNING: 20% Meet with project members to design the software and coordinate work with other aspects of the project. Related Performance Standard: Ability to interact well with project members from diverse backgrounds, including computer scientists, educators, and psychologists, to evaluate needs, design systems, coordinate implementation, and coordinate installation of the software in school sites. Sufficient understanding of software design techniques and project goals to contribute to planning and design. PROGRAMMING: 50% See "Position Description." Related Performance Standard: Proficiency in Common Lisp and familiarity with Artificial Intelligence techniques. Use of modular, object oriented design techniques. Use of a code version control tool. Be able to manage one's own software development activities such that prototype modules and subsequent improvements are available when they are needed for testing by other project members. Prioritize tasks and identify and discuss potential problems before they impact on delivery deadlines. TESTING: 20% Thorough testing of implemented functionality under a variety of scenarios. Related Performance Standard: Ability to maintain test suites and conduct tests in a systematic manner. DOCUMENTATION AND WRITING: 10% Code must be well documented. May be asked to write short reports on the status, design, implementation, and testing of code. Related Performance Standard: Programming habits that include documentation during the development process. Basic familiarity with word processing software and willingness to learn new word processor. Ability to write clear, concise documentation. ------------------------------------------------------------------------------ Further Information WWW References: Project Home Page (new): http://www.pitt.edu/~advlearn/ LRDC: http://www.lrdc.pitt.edu/ University of Pittsburgh: http://www.pitt.edu/ About LRDC: Since its founding in 1963, the Learning Research and Development Center (LRDC) at the University of Pittsburgh has emerged as the leading research institution for cognitive science and technology applied to education. LRDC faculty serve on numerous national advisory bodies, edit a number of scholarly journals, and have served as officers of the leading scholarly associations in their fields. LRDC researchers helped introduce such ideas as individualized instruction; criterion-referenced testing; using technology to enhance, individualize and manage learning; and the student as an active learner who constructs his or her own knowledge much as a scientist constructs socially shared knowledge. Today, LRDC researchers are leaders in many areas of research and development, including basic processes of learning, learning in the workplace, subject matter learning in school, and the improvement of schooling. Approximately $11 million worth of sponsored research projects are managed by LRDC. The Center has its own building, a nine-story facility. The building is fully networked with local Ethernet interconnected to the University backbone, which is connected to the Internet with T3 bandwidth. LRDC houses more than a dozen high-end workstations and more than 200 personal computer systems. In addition to the shared University-wide file service (AFS), LRDC maintains four very large Novell file servers on its premises, along with about a dozen high-speed network printers. Within the Center's building, sound and video studio facilities permit authoring and editing of multimedia presentations, including mastering of CD-ROM disks. ------------------------------------------------------------------------------ Applications: Send queries and applications to: Dan Suthers Learning Research & Development Ctr. 3939 O'Hara Street University of Pittsburgh Pittsburgh, PA 15260 email: suthers+@pitt.edu voice: 412-624-7036 fax: (412) 624-9149 Formal applications should include resume and contact information for individuals whom we may contact for references. If you decide to become a formal applicant, you MUST also submit an application to: Office of Human Resources, Employment Section 200 S. Craig St. University of Pittsburgh Pittsburgh, PA 15260 CALL 412-624-8040 TO OBTAIN THE JOB NUMBER for this position (not assigned at the time of this posting). PLACE THE JOB NUMBER ON THE UPPER RIGHT HAND CORNER of your cover letter and resume. It is recommended that you also obtain and fill out a "staff employment application": this will ensure that you are considered for *any* relevant positions in the University. ============================================================================== -- ================================================================ Dan Suthers | Learning Research & Development Center suthers+@pitt.edu | University of Pittsburgh (412) 624-7036 voice | 3939 O'Hara Street (412) 624-9149 fax | Pittsburgh, PA 15260 (412) 363-3992 home | http://www.pitt.edu/~suthers/ ================================================================ ------------------------------------------------------------------------------- This message | Submissions ai+lisp-jobs@cs.cmu.edu was sent via | Subscribe/Unsubscribe ai+query@cs.cmu.edu the LISP-JOBS | Available mailing lists include mailing list. | AI-JOBS, LISP-JOBS, PROLOG-JOBS, AI-POSTDOC, AI-PREDOC