Postdoctoral Research Fellow in Geospatial Data Science and Machine Learnin at George Mason University
Fairfax, VA 22030, USA -
Full Time


Start Date

Immediate

Expiry Date

12 Jun, 25

Salary

0.0

Posted On

12 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Science, Deep Learning, Data Mining, Communication Skills, Geospatial Data, Computer Science, Machine Learning, Physics

Industry

Education Management

Description

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

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.
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.
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