Michigan Technological UniversitySchool of Forest Resources and Environmental ScienceAssistant Professor, Remote Sensing and Spatial Analysis in Natural ResourcesAppointment Terms: A nine-month, tenure-track position at the Assistant Professor level is available with appointment to begin in August 2009. Salary will be commensurate with qualifications and experience. Qualifications: Ph.D. degree in Natural Resources, Forest Science, Environmental Science, Geography or related area with an emphasis in remote sensing and spatial analysis. Specific areas of expertise are flexible, but experience in remote sensing (particularly in the fields of LIDAR, RADAR and hyperspectral imagery), digital image processing, spatial statistics and analysis related to natural resource management issues, plus a demonstrated history of successful collaboration across disciplines, are desirable. Women and minority candidates are particularly encouraged to apply. Responsibilities: Appointment includes teaching (54 percent), research (36 percent), and service (10 percent). The successful candidate will teach one upper-level undergraduate course in environmental remote sensing, a graduate-level course in digital image processing with a remote sensing perspective and a graduate-level course in their area of interest. Development of an externally funded research program involving undergraduates, Masters and Doctoral students is expected. Experience and interest in participating with collaborative research teams, as well as international experience, are beneficial. We are seeking outstanding candidates who will complement current faculty interests, participate in the development and expansion of the geospatial curricula as it relates to natural resource management, and develop a nationally and internationally recognized research program. We have excellent undergraduate degree-granting programs in Forestry, Wildlife Ecology and Management, and Applied Ecology and Environmental Sciences, and graduate programs in Forestry (MS and MF), Forest Ecology and Management (MS), Applied Ecology (MS), Forest Science (Ph.D.), Forest Molecular Genetics and Biotechnology (MS and Ph.D.). An active research program is ongoing, with the SFRES placing first among U.S. forestry universities in number of citations per faculty member (as cited in the Journal of Forestry), and first in Ph.D. Forestry Programs (as ranked by Academic Analytics). The School is located in a 93,000-square-foot teaching and research facility, and has state-of-the-art computing equipment, including a remote sensing/GIS teaching laboratory as well as the Ecological Monitoring and Mapping remote sensing/GIS research laboratory. The 4,500-acre Ford Forest is managed by the School and is available for research and teaching. SFRES is also home to the largest Peace Corps Master's International Program in the U.S. We are a high-quality, strongly focused public science and engineering university that enrolls over seven thousand students. Michigan Tech is located in Michigan's rural Upper Peninsula that is replete with lakes, wetlands, and forests and boasts exceptional outdoor recreational opportunities. More information is available at http://forest.mtu.edu. Advanced computation is integral to research and educational activities at Michigan Tech. In addition to the present search, a search to fill ten growth positions in "Computational Discovery and Innovation" is under way and qualified candidates are encouraged to send a separate application, following the "How to Apply" guidelines at www.mtu.edu/sfhi. Michigan Tech is an ADVANCE institution, one of a limited number of universities in receipt of NSF funds in support of our commitment to increase diversity and the participation and advancement of women in STEM. We also have a Dual Career Assistance Program (DCAP), which facilitates the hiring of partners of strategic hires. The web site for our DCAP is http://www.dual.mtu.edu. Application Procedure: Using regular mail OR email, send curriculum vita, copies of transcripts, three (3) letters of references, one-page statements of research interests and teaching philosophy, as well as selected reprints, to: Remote Sensing Search Committee Emailed application materials should be directed to seknott@mtu.edu. Review of applications will begin March 9, 2009 and will continue until the position is filled. Questions may be directed to Dr. Ann L. Maclean at amaclean@mtu.edu.
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