Postdoc in Regional Land Use Change and Urbanization Modeling

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Boise State University
United States
43° 36' 3.1284" N, 116° 11' 48.0408" W
Start Date: 
Monday, August 15, 2016 - 18:15

Background and Position Description

Boise State University in Boise, Idaho is pleased to announce an exciting opportunity in modeling land use change and urbanization. In support of a statewide National Science Foundation grant (IIA-1301792) and expanding research capacity in Human-Environment Systems, the researcher will conduct regional-scale spatial modeling of land use. Datasets and scenarios that you develop as a postdoc will support hydrologic modeling of managed systems and estimation of the future spatial distribution of domestic, commercial, municipal, and industrial water use.

As the postdoctoral researcher, your primary research duties will be to:

  1. Develop and apply spatial population, urbanization, and land use models in a region experiencing significant exogenous pressures on land use systems,
  2. Analyze extant demographic, socioeconomic, infrastructure, water rights and land use data to inform and develop plausible alternative scenarios of land use change,
  3. Work collaboratively with a team of cross-disciplinary biophysical and social scientists, and develop appropriate collaborations/exchanges at institutions outside of Boise State.

When hired you will join the Human-Environment Systems (HES) Initiative at Boise State, which includes biophysical and social scientists interested in modeling coupled food-energy-water systems, wildlife-human-ecosystem interactions, land use system dynamics, and the role of social learning on environmental management. The HES Initiative is administratively housed in Boise State’s College of Innovation and Design, but collaborates closely with faculty from departments across campus including Geosciences, Biological Sciences, Anthropology, and Public Policy and Administration. 

Position Requirements, Qualifications, and Compensation

You should have a Ph.D. in an appropriate field (e.g., physical and human geography, land use science, geoscience, civil and environmental engineering, urban studies and planning, remote sensing, ecosystem science) at the time of appointment.

These criteria will be used to assess your fitness for the position:

  1. Expertise in geospatial data and modeling,
  2. Experience with remote sensing products used to derive spatiotemporal land use information and assess model predictions,
  3. Proficiency in at least one scientific programming language (Python, R, and/or Matlab preferred),
  4. Familiarity with the use of geographical information systems.

Funding is available for up to two years, provided successful review and satisfactory research progress after the first year of employment. Anticipated salary for the position is $45,000 per year with an excellent benefits package is available for eligible employees.

How to Apply

If you are interested in this position, you will apply via Boise State’s Talent Acquisition portal: There you will need to upload the following documents:

  1. A letter of interest addressed to Dr. Alejandro Flores,
  2. A current CV with professional references,
  3. One published or submitted manuscript demonstrating prior work relevant to the position

Please also notify via email professors Alejandro Flores (, Shawn Benner (, and Jodi Brandt ( when your application is complete. We will begin reviewing documents immediately and continue until the position is filled.

Additional Background

Boise State is Idaho’s largest Carnegie Doctoral Research University, enrolling the largest number of graduate students in Idaho, which President Barack Obama has specifically identified for a culture of innovation. It is among 20 global universities identified by Times Higher Education as on a trajectory “to become globally renowned in the next 10 to 20 years.” Boise is an ideal place to live – a hub of government, business, arts, recreation of all types, health care, industry and technology.

Boise accolades:
Boise State University:
LEAF group:
Human-Environment Systems Initiative:
Geosciences department:

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