Postdoctoral Research Fellow in Geospatial Simulation
Fairfax, VA 
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Posted 2 days ago
Job Description
Postdoctoral Research Fellow in Geospatial Simulation
  • 10000190
  • Fairfax, VA
  • Postdoctoral Faculty
  • Opening on: Nov 9 2023
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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

Telework Friendly: No

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.

George Mason University College of Science (Mason Science) is committed to advancing access, justice, equity, diversity, and inclusion (AJEDI) throughout our STEM community, including within our hiring and retention practices. At Mason Science, our values include fostering an organizational culture that promotes Anti-Racism, belonging, respect, and civility. We believe that a diversity of opinions, cultures, and perspectives is what provides vibrancy, innovation and growth to an academic community. By prioritizing inclusive excellence in academics, teaching, research, and global engagement, we strive to attract a diverse pool of faculty and staff who exemplify the Mason Science mission and vision.

About the Position:

The Postdoctoral Fellow in the Center for Geospatial Intelligence (CGEOINT) in the Department of Geography and Geoinformation Science has expertise in the design and implementation of large-scale urban simulations or "digital twin". This position is part of a USDA funded project with a multi-institutional team conducting research across George Mason University (GMU) and the University of Maryland.

Responsibilities:

  • Collaborate in the development of a scalable urban simulation of human mobility and animal movement;
  • Oversee the application of the simulation in various problem areas related to infectious disease;
  • Create and manage a repository of simulation code and data sources;
  • Publish and disseminate research at top-tier journals and conferences; and
  • Supervise research assistants and interns and collaborate with fellow scholars.

Required Qualifications:

  • Terminal degree in a related field (i.e. computer science, data science, modeling and simulation, or closely related fields);
  • Experience in programming;
  • Proven publication record;
  • Excellent teamwork and communication skills;
  • Broad knowledge within discipline and detailed knowledge of specific research area;
  • Research techniques; and
  • Data analysis and interpretation.

Preferred Qualifications:

  • Experience in agent-based modeling or related social/ecological simulation;
  • Programming experience in Python or Java;
  • Experience in data mining;
  • Experience in data management and databases;
  • Track record that demonstrates the ability to work well with interdisciplinary research teams; and
  • Geospatial analytics skills.

Instructions to Applicants:

For full consideration, applicants must apply for Postdoctoral Research Fellow in Geospatial Simulation at https://jobs.gmu.edu/; complete and submit the online application; and provide a cover letter, CV, and a list of three professional references with contact information.

Posting Open Date: November 9, 2023

For Full Consideration, Apply by: November 30, 2023

Open Until Filled?: Yes


George Mason University is an equal opportunity/affirmative action employer, committed to promoting inclusion and equity in its community. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any characteristic protected by law.


 

Job Summary
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Experience
Open
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