A nine month, tenure-track position at the Assistant or Associate Professor level is
available with the appointment starting August 2020. Salary is commensurate with
qualifications and experience.
Responsibilities
Research: We are seeking an outstanding candidate who is excited about working in an
interdisciplinary setting and will complement existing faculty research interests and
strengths. The candidate is expected to develop a nationally and internationally
recognized, externally funded research program involving Masters and Doctoral students
in the areas of remote sensing, digital image processing, unmanned aerial vehicles (UAV)
and geospatial analysis. Experience in the fields of LIDAR and/or hyperspectral imagery,
UAVs, and geospatial technology applications related to natural resource management
issues, such as land use change, invasive species monitoring and wildlife conservation,
are required. A valid Remote Pilot Certificate from the FAA is highly desirable as well as
experience working with “big” datasets.
Teaching: Responsibilities will involve environmental remote sensing and digital image
processing courses at the graduate and undergraduate level. Graduate teaching may also
include development of courses in the candidate’s area of expertise.
Institution: The successful candidate will contribute to the School’s vision as a premier,
national center of excellence in natural resources and environmental science education,
research and outreach. Interdisciplinary research opportunities exist with the newly
created College of Computing, the Great Lakes Research Institute, the Michigan Tech
Research Institute, and other research groups across campus.
Environment
Michigan Tech’s School of Forest Resources and Environmental Science is one of the
most productive forest research programs in the country. The School is particularly well
known for its excellence in the fields of GIS, remote sensing, applied spatial statistics,
forest science, applied ecology, forest molecular genetics, and wildlife conservation and
management. The School has extensive UAV and Lidar equipment including: a Trimble
UX5 (Sony a5100 RGB Camera), a Trimble UX5 HP (Sony alpha a7R NIR Camera), a
Trimble UX5 AG (MicaSense-RedEdge Multispectral Camera), a Riegl LiDAR Scanner,
a Trimble R8s / GNSS receiver, a Trimble S7 Total Station, a Trimble GeoXH 6000
GPS, and a Trimble Geo 7x.
Ph.D. in a relevant field is required at time of appointment. Candidates must have
demonstrated interest and expertise in remote sensing, digital image processing,
geospatial technology. Post-doctoral research and extramural grant writing experience are
strongly desired.
Review of applications begins December 16, 2019 and continues until the position is filled.