We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.
#alert
Back to search results
New

Postdoctoral Research Fellow in Geospatial Data Science and Machine Learning

George Mason University
United States, Virginia, Fairfax
Jul 17, 2025

Postdoctoral Research Fellow in Geospatial Data Science and Machine Learning





  • 10002424






  • Fairfax, VA






  • Postdoctoral Faculty






  • Opening on: Mar 10 2025









Add to favorites

Favorited


View favorites

Department: College of Science


Classification: Post Doc 12 month


Job Category: Postdoctoral Faculty


Job Type: Full-Time


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


Location: Fairfax, VA


Workplace Type: On Site Required


Salary: Salary commensurate with education and experience


Restricted: Yes


Criminal Background Check: Yes


About the Department:


The Center for Geospatial Intelligence (CGEOINT) at George Mason University (GMU) conducts, supports, and coordinates research, teaching, technology transfer, and outreach activities in geospatial intelligence. The interdisciplinary center is supported by researchers from the departments of Geography and Geoinformation Science (GGS), Computational and Data Sciences (CDS) and Computer Science (CS).


About the Position:


The Center for Geospatial Intelligence (CGEOINT) Postdoctoral Research Fellow works as part of a team of graduate students, post docs, and faculty on research projects related to large-scale urban simulations and geospatial machine learning.


Responsibilities:



  • Aggregates and analyzes open-source geospatial information as it relates to urban environments and mobility;
  • Contributes to the design, development and refinement of a large-scale urban simulation framework;
  • Works with a team of graduate students, post docs, and faculty; and
  • Supervises graduate-level research assistants, and promotes the team's accomplishments through publications, presentations, and other public events.


Required Qualifications:



  • Ph.D. in computer science, physics, data science, or closely related field;
  • Experience in data mining and machine learning, or experience with agent-based simulation frameworks; and
  • Strong programming skills.


Preferred Qualifications:



  • Experience with deep learning for geospatial data (GeoAI);
  • Experience in software engineering and project management;
  • Excellent written communication skills demonstrated by prior publications; and
  • A track record that demonstrates the ability to work well with interdisciplinary research teams.


Instructions to Applicants:


For full consideration, applicants must apply for Postdoctoral Research Fellow in Geospatial Data Science and Machine Learning at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references with contact information, and provide a Cover Letter/Letter of Intent with CV for review.


Posting Open Date: March 10, 2025


For Full Consideration, Apply by: March 31, 2025


Open Until Filled: Yes


Applied = 0

(web-6886664d94-b4mmp)