george mason university

Postdoctoral Research Fellow in Geospatial Data Science and Machine Learning

Fairfax
March 17, 2024
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Job Description

Postdoctoral Research Fellow in Geospatial Data Science and Machine Learning

  • 10000189

  • 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 (GGS) and Computational and Data Sciences (CDS) has expertise in geospatial data science and a specialized focus on data mining and machine learning.

Responsibilities:

  • Responsible for the development and refinement of a unified framework for aggregating and analyzing a variety of open-source geospatial information as it relates to urban environments and mobility. The data will be used in large scale urban simulations as part of a bigger effort of a team of graduate students, post docs, and faculty; and

  • Supervise graduate-level research assistants, and promote the research team’s accomplishments through publications, presentations, and other public events.

Required Qualifications:

  • Terminal degree in a related field (i.e. computer science, physics, or closely related field);

  • Strong programming skills; and

  • Experience in data mining and machine learning.

Preferred Qualifications:

  • A track record that demonstrates the ability to work well with interdisciplinary research teams; and

  • Experience in data management and databases.

Instructions to Applicants:

For full consideration, applicants must apply for Postdoctoral Research Fellow in Geospatial Data Science and Machine Learning at ; 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

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