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Geospatial Research Assistant Jobs in Virginia (NOW HIRING)

GEOINT Analyst Mid

Charlottesville, VA · Remote

$110K - $150K/yr

... Research is seeking a full-time GEOINT Analyst. This position conducts geospatial analysis of ... * Assist Imagery Scientists in developing novel analytical methodologies to be applied to ...

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Geospatial Research Assistant information

What are some common challenges faced by Geospatial Research Assistants when working with large spatial datasets?

Geospatial Research Assistants often encounter challenges related to managing and processing large volumes of spatial data from various sources. These challenges include ensuring data accuracy, handling data format compatibility, and optimizing data processing workflows to avoid slowdowns. Additionally, they may need to troubleshoot software or scripting issues, especially when automating repetitive tasks or integrating datasets. Effective collaboration with team members and clear documentation are essential to overcoming these hurdles and ensuring project success.

What are geospatial research assistants?

Geospatial research assistants are professionals who support research projects by collecting, analyzing, and interpreting spatial data using Geographic Information Systems (GIS) and related technologies. They assist with tasks such as data gathering from maps, satellite imagery, GPS, and other sources, and help create visualizations and reports that inform decision-making in fields like environmental science, urban planning, and public health. Their work is critical for projects that depend on understanding the relationships and patterns within geographic data.

What are the key skills and qualifications needed to thrive as a Geospatial Research Assistant, and why are they important?

A Geospatial Research Assistant should possess strong analytical skills, spatial reasoning, and a background in geography or environmental science, typically supported by a relevant bachelor's degree. Familiarity with GIS software such as ArcGIS or QGIS, data visualization tools, and possibly certifications in geospatial technologies are highly valued. Attention to detail, problem-solving abilities, and effective communication skills help individuals excel when working with complex datasets and interdisciplinary teams. These skills ensure accurate data analysis, clear reporting, and valuable contributions to research projects that rely on spatial information.
What are popular job titles related to Geospatial Research Assistant jobs in Virginia? For Geospatial Research Assistant jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Geospatial Research Assistant jobs in Virginia look for? The top searched job categories for Geospatial Research Assistant jobs in Virginia are:
What cities in Virginia are hiring for Geospatial Research Assistant jobs? Cities in Virginia with the most Geospatial Research Assistant job openings:
Research Assistant Professor

Research Assistant Professor

George Mason University

Fairfax, VA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


George Mason University rating

8.3

Company rating: 8.3 out of 10

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Job description

Research Assistant Professor
  • 10003688
  • Research Faculty
  • Opening on: Jan 26 2026
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Department: College of Science

Classification: 12-month Research Faculty

Job Category: Research Faculty

Job Type: Full-Time

Work Schedule: Full-time (1.0 FTE, 40 hrs/wk)

Location: Remote

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/.
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.

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


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