Ph.D. assistantships: remote sensing using machine learning methods
- Employer
- State University of New York College of Environmental Science and Forestry
- Location
- Syracuse, NY
- Closing date
- Dec 1, 2023
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- Discipline
- Earth and Space Science Informatics, Global Environmental Change, GeoHealth
- Career Level
- Student / Graduate
- Education Level
- Masters
- Job Type
- Internship
- Relocation Cost
- No Relocation
- Sector Type
- Academia
Job Details
The Intelligent Geocomputing Lab at the State University of New York College of Environmental Science and Forestry (SUNY ESF) is looking for multiple Ph.D. students to advance remote sensing analysis through the use of machine learning methods. There are several research and teaching assistantships available starting in August 2024.The positions offer a stipend with health benefits along with a tuition waiver. Extensive experience in machine learning methods and strong programming skills are expected. While familiarity with remote sensing analysis is preferable, candidates with technical backgrounds from other fields and interest in geospatial applications are encouraged to apply (e.g. physics, data science, engineering, geography). For more information on how to apply please visit: https://www.aboutgis.com/open-positions/
Company
- Website
- http://www.esf.edu
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