From cast10-request@bevo.che.wisc.edu Tue May 30 05:39:09 2000 Received: (from slist@localhost) by bevo.che.wisc.edu (8.9.1/8.9.1) id FAA07288; Tue, 30 May 2000 05:39:09 -0500 (CDT) Resent-Date: Tue, 30 May 2000 05:39:09 -0500 (CDT) MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit Message-ID: <14643.39498.855288.379855@bahaha.che.wisc.edu> Date: Tue, 30 May 2000 05:39:06 -0500 (CDT) From: Markus Fromherz Reply-To: fromherz@parc.xerox.com To: cast10@bevo.che.wisc.edu Subject: CAST: Position in Constraints and Control at Xerox PARC X-CAST-Category: jobs post-doc 2000-11 Resent-Message-ID: <"njEp0UI1tUN.A.NvH.Np5M5"@bevo.che.wisc.edu> Resent-From: cast10@bevo.che.wisc.edu X-Mailing-List: X-Loop: cast10@bevo.che.wisc.edu Precedence: list Resent-Sender: cast10-request@bevo.che.wisc.edu Sender: cast10-request@bevo.che.wisc.edu Errors-To: cast10-request@bevo.che.wisc.edu ----------------------------------------------------------------- NOTE: Past postings on the CAST10 Email List are archived on the World Wide Web at http://www.che.wisc.edu/cast10 ----------------------------------------------------------------- Xerox Position: Member of Research Staff - Constraints and Control The Systems and Practices Laboratory at the Xerox Palo Alto Research Center (PARC) is looking for researchers at the PhD level to join us in a team effort to develop concepts and software for constraint-based embedded control. Our problems are typically large-scale, non-linear, hybrid optimization problems, and our applications are in the real-time, embedded control domain. A candidate should have expertise in the implementation of modern constraint solving and optimization techniques and/or control methods for large-scale, distributed systems, plus experience in one or more of the following: applying constraint programming to control, modeling and reasoning about distributed, heterogeneous physical systems, adaptive control, model-predictive control, control theory, and modeling, verification and implementation of real-time systems. This research effort is part of PARC's thrust in Smart Matter, which is creating the ability to embed large numbers of sensors, actuators, and computation in the world around us. The Distributed Smart Matter Control project seeks to develop a scalable, distributed approach to the control of smart matter systems. Researchers will be working in an energetic multi-disciplinary team seeking to solve both basic and applied research problems. To apply, please submit a cover letter explaining your interest, a resume, and URLs or copies of publications if applicable. Please apply by email to serajobs@parc.xerox.com (subject: Control Position Application; attention: Markus Fromherz). Applications will be processed as received and positions will be filled as suitable candidates are identified. Xerox is an Equal Employment Opportunity company committed to workforce diversity.