Assistant/Associate Professor, Vegetation Modeling, Indiana, USA

The Department of Geography at Indiana University, USA, invites applications for a tenure-track position Assistant/Associate Professor in Vegetation Modeling as part of a series of university-level strategic hires that are focused on environmental change.


The university is particularly interested in candidates who will advance the understanding of how climate and vegetation interact to explain landscapes of the past, present, and/or future. Successful candidates should have interests in analyzing climate-vegetation dynamics by using innovative modeling approaches, such as those that incorporate plant functional traits.

This hire is part of Indiana University’s Prepared for Environmental Change Grand Challenges initiative, which has received multi-million dollar funding. The candidate will join a growing community of colleagues across the sciences, social sciences, and humanities, with opportunities for internal funding through the program.


Applicants must have a PhD in geography or a related field by the time of employment.

Research and teaching expertise and interest in remote sensing and/or GIS is essential. Candidates are expected to have or be able to develop an excellent research program, with the ability to attract external funding. Teaching duties will include both undergraduate and graduate courses.


To ensure full consideration, applications should be submitted by 12 October 2017; however, applications will be considered until the position is filled. Interested candidates should review the job description and submit application materials on-line:

Further information

Questions regarding the position or application process should be directed via e-mail to: Dr. Scott Robeson, Search Committee Chair This email address is being protected from spambots. You need JavaScript enabled to view it.

Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, national origin, disability status, or protected veteran status.