Title Postdoctoral Scientist in Terrestrial Biosphere Modeling of Dryland
Appointment Status Non-Tenure Track
Department IU Bloomington Geography
Postdoctoral Scientist Position in Terrestrial Biosphere Modeling of Dryland
Ecosystems at Indiana University-Bloomington
A postdoctoral scientist position is available in Dr. Natasha MacBean's group
in the Department of Geography at Indiana University (IU) Bloomington on
terrestrial biosphere model (TBM) development for dryland ecosystems. This
postdoc is funded by a NASA Carbon Cycle Program grant. The postdoctoral
researcher will be responsible for utilizing the wide range of field and
remote sensing data and outputs of the project to test, optimize and develop
the ORCHIDEE TBM to better represent dryland ecosystem functioning. Multiple
opportunities exist for collaborations with other project members and
collaborators at NASA Goddard, the USGS Southwest Biological Science Center,
the University of Arizona, and at IU Bloomington. Applicants are required to
have strong prior experience working with terrestrial biosphere models/land
surface models/dynamic vegetation models as well as HPC systems. Further
qualifications are listed below. Remote work within the US is possible
(please enquire for more details). This position is offered for 3 years from
Salary: Commensurate with experience. Full benefits included.
Start date: Spring 2022.
Indiana University is an equal employment and affirmative action employer and
a provider of ADA services. All qualified applicants will receive
consideration for employment based on individual qualifications. Indiana
University prohibits discrimination based on age, ethnicity, color, race,
religion, sex, sexual orientation, gender identity or expression, genetic
information, marital status, national origin, disability status or protected
• PhD, by start of appointment, in geography, environmental science, earth
science, biology, atmospheric science, computational science or a related
• Knowledge of terrestrial biogeochemical cycles and land surface processes.
• Strong publication record.
• Extensive prior experience working with global scale terrestrial biosphere
models or equivalent (land surface models, earth system models, dynamic
vegetation models) is required.
• Strong inter-personal, collaboration, teamwork and organizational skills.
• Substantial programming experience (preferably with Python and FORTRAN) is
• Proficiency in developing/maintaining large datasets and scientific codes
for numerical simulation and analysis on Linus/Unix OS and high performance
computing systems (HPC) is required.
• Prior experience working with Bayesian data assimilation methods is welcome
but not required.
Department Contact for Questions
Salary and Rank
Please submit a CV, cover letter, and 1 page statement of research experience
For Best Consideration Date 02/15/2022
Expected Start Date
OAA # 22112-04
Required fields are indicated with an asterisk ().
Letter of Application