About the Role
Research Assistant Professor — George Mason University, College of Science / Center for Spatial Information Science and Systems (CSISS). Job number 10003688. Classification: 12-month Research Faculty. Job Type: Full-Time. Work Schedule: Full-time (1.0 FTE, 40 hrs/wk). Workplace Type: Remote Eligible. Sponsorship Eligibility: Eligible for visa sponsorship. Salary: Salary commensurate with education and experience. Restricted: Yes. Criminal Background Check: Yes.
About the Department:
The Center for Spatial Information Science and Systems (CSISS) is an interdisciplinary research center affiliated with the College of Science at George Mason University. The mission of the Center is to conduct world-class research in spatial information science and system and provide state-of-art research training to post-doctoral fellows, Ph.D. and Master students in the field. For more information about the center, please visit http://csiss.gmu.edu/.
About the Position:
This position is funded by a USDA-funded research project. The primary purpose of the position is to monitor the conditions of crop, pasture, and their growth environment to support agricultural decision making with advanced remote sensing and geospatial technologies.
Responsibilities:
Develops advanced Agro-geoinformatic algorithms for monitoring and predicting the conditions of crop, pasture, and their environment with advanced remote sensing and geospatial technologies;
Develops and refines algorithms and workflows for crop and pasture monitoring, modeling, prediction, and decision support and automation;
Supervises graduate research assistants and student interns working on the project; and
Publishes and disseminates research at top-tier journals and conferences.
Required Qualifications:
Terminal degree in a related field;
One-year post-Ph.D. research experience in related field at the time of appointment;
Research experience in agricultural remote sensing, crop and pasture modeling, or agricultural environment monitoring and prediction;
Knowledge of remote sensing, geospatial information systems, crop modeling and prediction, Agro-AI/ML, or agricultural digital twin; and
Knowledge of relevant programming skills.
Preferred Qualifications:
At least two-years post-Ph.D. research experience in related fields;
Track record that demonstrates the ability to work well with an interdisciplinary research team;
Excellent publication records;
Experience in large-scale earth observation analytics;
Experience in integrating multi-source remote sensing data with process-based or data-driven models to characterize agricultural and ecological systems;
Experience in applying advanced Artificial Intelligence/Machine Learning (AI/ML) methods in agriculture (Agro-AI/ML); and
Experience in programming with multiple languages (e.g., Java, C/C++, Python) for geospatial information systems, agro-informatic applications, agricultural monitoring and modeling, Agro-AI/ML, or digital twin.
Instructions to Applicants:
For full consideration, applicants must apply for the Research Assistant Professor at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references with contact information, and provide a cover letter and CV for review.
Posting Open Date: January 26, 2026
For Full Consideration, Apply by: February 9, 2026
Open Until Filled: Yes