-
collaboration MINIMUM QUALIFICATIONS: Master’s degree in geospatial science, geoinformatics, geography, computer science, remote sensing, or related areas Three years of related work experience Peer-reviewed
-
, including presentations Strong interpersonal skills, including teamwork and collaboration MINIMUM QUALIFICATIONS Bachelor's degree in geospatial science, geography, earth science, computer
-
QUALIFICATIONS: Master’s degree in geospatial science, geoinformatics, geography, computer science, remote sensing, or a closely related field of study Five or more years of experience in research development
-
and prior research experience. Recent Ph.D. graduates in geospatial science, geography, electronic engineering, computer science, or related disciplines are highly encouraged to apply. The successful
-
strong expertise in Geospatial Science demonstrated by publications and prior research experience. Recent Ph.D. graduates in geospatial science, geography, electronic engineering, computer
-
others with respect MINIMUM QUALIFICATIONS Master’s degree in geospatial science, geoinformatics, computer science, electronic engineering, or geography Eight (8) years of related work experience Previous
-
data analytics and cloud computing with a focus on theoretical and empirical work in GIS; Desired topical areas include human geography, disasters, climate change, water security, and their intersections
-
degree in geospatial science, geoinformatics, geographic information science (GIScience), or similar. Candidates with a Ph.D. in geography with a strong geospatial curriculum training during their graduate
-
information science (GIScience), or similar. Candidates with a Ph.D. in geography with a strong geospatial curriculum training during their graduate education, earned in the last 5 years, could also be considered with
-
GIS, geography, geomatics, or related field Preferred Qualifications Research and teaching expertise in Geographic Information Systems, Data Management (Enterprise Databases, SQL, etc…), geospatial data