Stephen_Gifford++at++MAPS.CS.CMU.EDU
Wed, 17 May 95 17:42:51 -0400
-Steve Gifford
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Research Staff Positions in Remote Sensing and Computer Science
Digital Mapping Laboratory
School of Computer Science
Carnegie Mellon University
Applications are invited for research staff positions in the general areas
of digital cartography, remote sensing, advanced distributed simulation, and
computer vision. Positions are available at several levels, including
research programmer, senior research programmer, project scientist, and post
doctoral research faculty. All positions are within the School of Computer
Science at Carnegie Mellon University. Post doctoral positions are tenable
for two years with possibilities for appointment to the regular Research or
Systems Faculty track within the School.
The successful applicant will be expected to play a major role in the
current and future research efforts within the Digital Mapping Laboratory.
Our research is broadly focused on the automated interpretation of remotely
sensed data including high resolution aerial imagery and multispectral
imagery such as SPOT, Landsat TM, and Daedalus scanner data. Current areas
of investigation include knowledge-based scene analysis; cultural feature
extraction (road network and building detection and delineation); automated
scene registration and stereo matching; intensification and manipulation of
large-scale spatial databases; and the use of these databases in the
construction of large scale virtual worlds for advanced distributed
simulation. Applicants at all levels are expected to be proficient in the
implementation of large scale software systems within a UNIX/C/X11 environment.
We seek applicants for the following research areas:
--Digital cartographer. The candidate must have significant experience with
the manipulation of digital cartographic data in various formats (DMA ITD
and VPF, USGS DLG and LULC, and others) within the context of GIS
applications. Prior work in the generalization, aggregation, and editing of
digital feature data is relevant. Research issues include the generalization
and combination of spatial data from diverse sources to be used in the automated
generation of large scale virtual world simulation databases. Data sources
will consist of standard DMA and USGS products as well as the results of
automated computer vision systems. The successful applicant will be responsible
for leadership in the design and implementation of prototype systems to automate
the spatial data fusion process.
--Remote sensing specialist. The candidate must have experience in performing
analysis and classification using multispectral imagery, particularly using
advanced airborne or hyperspectral systems with high spatial resolution.
Research emphasis will be placed on the development of classification algorithms,
the rigorous evaluation of the results, and the fusion of those results with
information from other sources such as digital elevation models, a priori
digital map data, and results from automated computer vision systems.
--Visual simulation specialist. The candidate should have experience with
terrain based simulation applications involving the efficient display and
modification of runtime databases using advanced SGI hardware (including
Performer and Inventor toolkit experience) and experience with X11 and Motif
programming. In addition the applicant will be expected to participate in
research in the area of applied computational geometry and the implementation
of efficient algorithms for database construction. Experience with SIMNET,
CCTT, or other related distributed visual simulation systems is a plus.
--Computer graphics programmer. The candidate must have experience in the
display and manipulation of digital imagery and spatial (cartographic) data.
Knowledge of the X11 toolkits, Motif, and previously experience in the design
and development of scientific user interfaces is required.
A strong background in one or more of these areas or related areas is required.
Excellent written and verbal communication skills are also expected. Applicants
should send a curriculum vitae and names of at least three references to:
David M. McKeown, Jr.
Principal Research Computer Scientist
Digital Mapping Laboratory
School of Computer Science
Carnegie Mellon University
Pittsburgh, PA 15213
For more information regarding the Digital Mapping Laboratory and its projects:
http://www.cs.cmu.edu/~MAPSLab
Carnegie Mellon is an Equal Opportunity/Affirmative Action employer.
Carnegie Mellon University does not discriminate and Carnegie Mellon University
is required not to discriminate in admission, employment, or administration of
its programs on the basis of race, color, national origin, sex or handicap in
violation of Title VI of the Civil Rights Act of 1964, Title IX of the Educational
Amendments of 1972, and Section 504 of the Rehabilitation Act of 1973 or other
federal, state or local laws, or executive orders.
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