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 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 applications for the following research areas:

• 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 Open GL 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.

• 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 implementation of algorithms for generalization, aggregation, and editing of digital feature data is highly relevant. The ability to design and implement novel techniques that may be narrowly applied to simulation database construction is more important than the extensive use of commercial GIS packages.

• Remote sensing specialist
  The candidate must have experience in performing spectral feature analysis and classification using multispectral imagery, particularly using advanced airborne multispectral or hyperspectral systems with high spatial resolution. Research emphasis will be placed on the design and implementation 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.

A strong background in computer programming as well as research domain expertise 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 15213-3891

maps@cs.cmu.edu

http://www.maps.cs.cmu.edu/

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.