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Montana State University

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PhD Opportunity in Remote Sensing, GIS, AI, and Geospatial Science at Montana State University Montana State University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Montana State University

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Keywords

Computer Science
Environmental Science
Agriculture
Deep Learning
Biology
Remote Sensing
Artificial Intelligence
Image Processing
Spatial Analysis
Earth Science
Python Programming
Geographical Science
Machine learning

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About this position

PhD opportunity at Montana State University (USA) starting Spring 2027 in the Plant Sciences and Plant Pathology (PSPP) Department. The project is interdisciplinary and focuses on Remote Sensing, GIS, Artificial Intelligence, Geospatial Science, Machine Learning, and Deep Learning, with applications in agriculture and environmental research.

The selected PhD student will work on satellite remote sensing, GIS and spatial analysis, geospatial data management, Python-based geospatial workflows, and cloud platforms such as Google Earth Engine. Experience with UAS/drone-based remote sensing is a plus.

Preferred applicants should have strong image processing skills, a solid background in remote sensing and GIS, programming experience in Python, and the ability to communicate research clearly. The post asks interested candidates to email a CV and a research portfolio (publications, GitHub, personal website, previous projects, or similar) to [email protected].

Note: candidates who previously applied and were not selected for an interview are asked not to reapply in this recruitment cycle.

Program start: Spring 2027.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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