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Barnali Das

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PhD/MS Research Opportunities in Machine Learning, Remote Sensing, and Geospatial Data Science at Kansas State University Kansas State University in United States

Degree Level

Master's, PhD

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

University of Kansas

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Keywords

Computer Science
Environmental Science
Agriculture
Deep Learning
Remote Sensing
Geography
Hydrology
Earth Science
Climate Resilience
Evapotranspiration
Statistics
Machine learning

About this position

PhD/MS research opportunities are open at the Spectrum Lab in the Department of Geography and Geospatial Sciences, Kansas State University, USA.

The recruiting faculty member is Barnali Das (Assistant Professor), who is seeking two highly motivated students to join a research team working on machine learning, deep learning, remote sensing, and geospatial data science.

Research topics include water stress monitoring, evapotranspiration estimation, playa wetland dynamics, agriculture, climate resilience, and broader surface water and groundwater systems in the Great Plains.

Ideal applicants should have a background in Remote Sensing, GIS, Geography, Hydrology, Environmental Science, or a related field. Python experience is preferred, and prior machine learning/deep learning experience is helpful but not required.

Students will work with satellite datasets, develop innovative ML models, publish in leading journals, present at conferences, and collaborate with academia, government, and industry partners.

To apply, email a CV, academic transcripts, and a brief statement of research interests to [email protected]. Applications should not be sent via LinkedIn messages.

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.

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