clemson.edu
Clemson University: College of Agriculture, Forestry and Life Sciences: Forestry and Environmental Conservation
Location
245 Lehotsky Hall Open Date
Oct 29, 2024 Description
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. 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 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. Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge. Clemson University is an AA/EEO employer and does not discriminate against any person or group on the basis of age, color, disability, gender, pregnancy, national origin, race, religion, sexual orientation, veteran status or genetic information.
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Location
245 Lehotsky Hall Open Date
Oct 29, 2024 Description
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. 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 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. Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge. Clemson University is an AA/EEO employer and does not discriminate against any person or group on the basis of age, color, disability, gender, pregnancy, national origin, race, religion, sexual orientation, veteran status or genetic information.
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