Research Assistant Professor (12)

Research Assistant Professor

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.

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 George Mason University College of Science (Mason Science) is committed to advancing inclusive excellence and fostering an environment free from discrimination, harassment, and retaliation throughout our STEM community.At Mason Science, our values include cultivating an organizational culture that promotes belonging, respect, and civility.We believe that varied opinions, cultures, and perspectives are what provides vibrancy, innovation, and growth to an academic community.

By prioritizing cultural responsiveness in academics, teaching, research, and global engagement, we strive to attract faculty and staff who exemplify the Mason Science mission and vision.

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 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