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Postdoctoral Research Fellow, Satellite Image Deep Learning

Employer
George Mason University
Location
Fairfax, VA
Salary
Anticipated starting salary is approximately $70,000, depending on qualifications and experience
Closing date
Apr 25, 2021

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Industry
Education
Function
Analyst, Research
Hours
Full Time
Career Level
Experienced (Non-Manager)

Job Details

Postdoctoral Research Fellow, Satellite Image Deep Learning

The George Mason University, Department of Geography and Geoinformation Science (GGS) in the College of Science, invites applications for a Postdoctoral Research Fellow position beginning April 25, 2021. George Mason University is a team member to BlackSky Geospatial to aid in the development of IARPA's Space-based Machine Automated Recognition Technique (SMART) Program. The SMART program strives to automate the quantitative analysis of space-based imagery to perform broad-area search for natural and anthropogenic events and characterize their extent and progression in time and space by fusing very large data from multiple satellite sensors. The research will be conducted under the supervision of Drs. Konrad Wessels, Andreas Züfle and Dieter Pfoser of GMU.

George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Mason's academic and culturally inclusive environment.

Responsibilities: The primary job responsibilities of this position are to: 1) implement deep learning models for identifying diverse land cover change processes from time series of medium resolution and high resolution satellite imagery, 2) develop code base for multi-sensor image processing and analysis, 3) write publications, 4) interface with collaborators.

Required Qualifications: * Ph.D. in computer science, data science, or closely related field; * Extensive experience in machine learning for image analysis; * Strong programming skills; * Excellent written communication skills demonstrated by prior publications; and * A track record that demonstrates the ability to work well with interdisciplinary research teams. br>
Preferred Qualifications: * Experience with processing multi-spectral satellite imagery; * Strong programming skills in Python, Pytorch, KERAS, TensorFlow; and * Signal processing/time-series analysis skills.

For more information about GGS, visit us on the web at http://science.gmu.edu/ggs. For more information about the College of Science, visit http://science.gmu.edu.

For full consideration, applicants must apply for position number F9655z at http://jobs.gmu.edu/; complete and submit the online application; and upload (1) a cover letter, (2) an up-to-date curriculum vitae, and (3) the names of three to five professional references with their contact information, including e-mail addresses.

"Great Careers Begin at Mason!

George Mason University is an innovative, entrepreneurial institution with national distinction in both academics and research. Mason holds a top U.S. News and World Report "Up and Coming" spot for national universities and is recognized for its global appeal and excellence in higher education.

Mason is currently the largest and most diverse university in Virginia with students and faculty from all 50 states and over 135 countries studying in over 200 degree programs at campuses in Arlington, Fairfax and Prince William, as well as at learning locations across the commonwealth. Rooted in Mason's diversity is a campus culture that is both rewarding and exciting, work that is meaningful, and opportunities to both collaborate and create.

If you are interested in joining the Mason family take a look at our current opportunities and catch some Mason spirit at jobs.gmu.edu/!

George Mason University, Where Innovation is Tradition."

Company

George Mason University is a university with three campuses, each with a distinctive academic focus that plays a critical role in the economy of its region. At each campus, students, faculty, and staff have full access to all the university's resources, while duplication of programs and support services is minimized through the use of technology. In addition to the main campus in Fairfax, the university has campuses in Arlington and Prince William Counties.

Company info
Website
Location
4400 University Dr
MSN 3C3
Fairfax
VA
22030
US

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