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Lin Shen

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PhD Opportunities in Satellite Geodesy, Remote Sensing, AI/ML, and Earth Surface Dynamics at University of Illinois Urbana-Champaign University of Illinois Urbana-Champaign in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Jan 2, 2027

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Country

United States

University

University of Illinois Urbana–Champaign

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Keywords

Computer Science
Geology
Environmental Science
Remote Sensing
Geography
Geophysics
Earth Science
Earth Observation
Insar
Fault Mechanics
Statistics
Satellite Geodesy
Physics
ML

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About this position

PhD opportunities are available for Fall 2027 in the research group of Lin Shen, Assistant Professor in the Department of Earth Science & Environmental Change at the University of Illinois Urbana-Champaign.

The group works at the intersection of satellite geodesy, remote sensing, computational methods, and AI/ML to study Earth-surface dynamics and the physical processes that drive them. Research directions include earthquake cycles, fault mechanics, and crustal dynamics; volcanic unrest, monitoring, and hazards; hydrologic, coastal, and environmental processes; and AI/ML for Earth observation and physical interpretation.

Applicants from geophysics, remote sensing, geology, engineering, physics, applied mathematics, computer science, and related fields are encouraged to apply. Programming experience is highly preferred, and experience with SAR/InSAR, geospatial analysis, numerical modeling, or machine learning is especially valuable.

Deadline: January 2, 2027. Interested students should review the graduate admissions information and submit an application for the PhD program. Prospective applicants are also welcome to contact Lin Shen by email with a CV and a brief introduction to their research interests.

Funding details

Available

What's required

Applicants should have a background in geophysics, remote sensing, geology, engineering, physics, applied mathematics, computer science, or a related field. Programming experience is highly preferred. Experience with remote sensing, especially SAR/InSAR, geospatial analysis, numerical modeling, or machine learning is valuable.

How to apply

Review the graduate admissions and application information, then submit a PhD application for Fall 2027. Prospective students may email Lin Shen with a CV and brief introduction to research interests before applying.

More information can be found here

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