Lecturer- Remote Sensing

Opportunity Come join a team of faculty and staff committed to inclusive excellence and to providing the best possible learning experience for its students. Clemson University’s Department of Forestry and Environmental Conservation (FEC) invites applications for the position of Lecturer of Remote Sensing. University and Departmental Profile Clemson University is a highly ranked public, land-grant university designated as a Carnegie Very High Research Activity (R1) institution with strong community engagement. The Department of Forestry and Environmental Conservation, in the College of Agriculture, Forestry and Life Sciences, has world-class research, teaching and Extension programs in natural resources conservation. The main campus of Clemson University is located in the upper Piedmont of South Carolina, adjacent to the Blue Ridge Mountains. The 17,500-acre Clemson Experimental Forest is contiguous with the campus and provides abundant opportunities for teaching, research, and outreach. The Department of Forestry and Environmental Conservation offers undergraduate majors in Environmental and Natural Resources, Wildlife and Fisheries Biology, and Forest Resource Management (SAF-accredited). FEC also offers M.S. and Ph.D. degrees in Wildlife and Fisheries Biology and Forest Resources, and a Masters of Wildlife and Fisheries Resources (MWFR) which is a professional, non-thesis degree. The Department is home to the South Caroline Cooperative Fish and Wildlife Research Unit, the James C. Kennedy Waterfowl and Wetlands Conservation Center, and the National Bobwhite and Grassland Initiative. The Department is closely allied with Clemson University’s Wood Utilization Design Institute and the Baruch Institute of Coastal Ecology and Forest Science, a Clemson University research field station in Georgetown, South Carolina. The Department has a vibrant student chapter of the Wildlife Society and other active student groups at the undergraduate and graduate level. The candidates will teach the Remote Sensing online course for students in the MWFR. This includes course creation in Canvas with 3 credits worth of lectures, guiding and creating discussions and assignments to engage students and reinforce course content, and creating assessments or exams to determine students mastery of course content.

Qualifications

The successful candidate should have experience teaching at the university level and be comfortable delivering content through an online platform. Candidates should have earned a PhD in a natural resource related field and have experience in Remote Sensing. Candidates should also demonstrate a commitment to issues of diversity, equity, and inclusion in the workplace.

Application Instructions

To ensure full consideration, applications should be submitted through this link before Nov. 8, 2024. Applications should include: C.V., Cover Letter, 3-5 contact references, and teaching statement.