Assistant/Associate Professor - Forest Biometrics
Location: Clemson, SC
The Department of Forestry and Environmental Conservation (FEC), at Clemson University is
seeking to fill a tenure-track position at the Assistant or Associate Professor level with a
specialization in Forest Biometrics. The position is a 12-month appointment with responsibilities in
teaching (75%) and extension (25%).
Clemson is an R1 Land-Grant university situated in the Piedmont of South Carolina, immediately
adjacent to the Blue Ridge Mountains. The 17,500 acre Clemson Experimental Forest is contiguous
with campus and provides abundant opportunities for research and teaching.
Forests currently occupy 67 percent (13 million acres) of the land area in South Carolina, and the
state's forest industry has an economic impact exceeding 21 billion dollars annually.
This position is critical to supporting our SAF-accredited forestry curriculum. Undergraduate courses
that, at this time, will be taught include Forest Mensuration, Forest Biometrics, Forest
Measurements, Remote Sensing, and part of Natural Resources Measurements, with additional
opportunities to assist in teaching across a relatively broad spectrum of topics related to the forest
biometrics discipline, e.g., field measurements skills, geospatial applications, growth and yield
modeling, sampling, and experimental methods. The candidate may develop and teach graduatelevel coursework in forest biometrics and analytics, focusing on advanced topics including forest
growth and yield modeling, forest sampling and measurements, estimation and forecasting, and the
integration of complex data sets into statistical, mathematical, and computer modeling frameworks.
The candidate will develop a high quality and productive program of applied research and extension
outreach in forest biometrics and analytics with impacts aimed at the science and management of
forest resources at local to global scales. The faculty member is expected to collaborate with faculty,
extension and agency/industry colleagues on regionally, nationally, and/or globally relevant research
that is informed by forest biometrics. Advising of undergraduate students and participation on
departmental committees is expected.
The successful candidate is expected to develop a collaborative extension program in the field of
forest measurements, commensurate with the appointment, especially as it applies to forest
management, growth and yield, forest inventory, and big data in forestry and natural resources. The
extension program should focus on issues relevant to forest industry as well as family forest owners.
Applied research to support teaching and extension is anticipated. The publication and
communication of results as well as the supervision of graduate students are expected. For the
extension audience this may include workshops, technical bulletins, educational events for
professionals, trade journals, and support of the statewide forestry and natural resources extension
team.
The position will require broad participation in state organizations, participation in the Extension
Forestry and Natural Resources team. The successful applicant will establish working relationships
with stakeholders and develop state-wide extension and professional training programs. These
programs may be developed for in-person delivery as well as through online delivery systems.
University Furlough Information: Clemson University is currently operating under a mandatory
furlough program developed in coordination with the South Carolina Division of State Human
Resources. Please visit the Furlough FAQ for more information.
QUALIFICATIONS
Qualifications include a PhD in forest biometrics, with strong promise for developing an outstanding
program of teaching, applied research, and outreach. An undergraduate forestry degree or a
Masters of Forestry from an SAF accredited program (or equivalent) is preferred. Candidates with a
strong interest and track-record in undergraduate teaching and mentoring are desired. Preference
will be given to candidates with teaching experience, evidence of applied research productivity, and
the ability to develop an extension program to support the Land Grant mission. Experience with, and
the ability to teach modern remote sensing applications in forestry are highly desired.