Publisher
source

Incheol Kim

Just added

just-published

PhD and MS Positions in Geotechnical and Hydrologic Hazards, Remote Sensing, and AI/ML at Georgia Southern University Georgia Southern University in United States

Degree Level

Master's, PhD

Field of study

Computer Science

Funding

Full funding available
Country flag

Country

United States

University

Georgia Southern University

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

More information can be found here

Official Email

Keywords

Computer Science
Geology
Environmental Science
Remote Sensing
Civil Engineering
Geotechnical Engineering
Earth Science
Python Programming
Gnss
Insar
ML

About this position

Georgia Southern University’s Department of Civil Engineering & Construction is inviting applications for one Ph.D. student and one M.S. student to join a research group led by Dr. Incheol Kim.

The group works on geotechnical and hydrologic hazards, infrastructure behavior and stability, NASA satellite data, remote sensing, AI/ML, and experimental-numerical modeling. Research topics include groundwater fluctuation, land subsidence, flooding, drought, post-wildfire impacts, freezing–thawing soil behavior, and deformation/stability of infrastructure systems.

Specific research areas include geotechnical and hydrologic hazard assessment using NASA satellite data; groundwater and land deformation monitoring using GRACE/GRACE-FO, InSAR, NISAR, and GNSS; AI/ML-based groundwater level prediction and land subsidence analysis; experimental-numerical modeling of freezing and thawing soils; and behavior/stability assessment of roads, levees, foundations, slopes, and related infrastructure.

Applicants should have a background in civil engineering, geotechnical engineering, hydrology, geoscience, remote sensing, data science, or a closely related field. Ph.D. applicants should have, or be completing, a master’s degree; M.S. applicants should have, or be completing, a bachelor’s degree. Preferred experience includes satellite remote sensing, InSAR, GRACE/GRACE-FO, NISAR, GNSS, GIS, Python, MATLAB, AI/ML, experimental testing, or numerical modeling.

English proficiency is required: TOEFL iBT 90+ or IELTS 6.5+.

Funding is expected through research assistantship or teaching assistantship, including tuition support and a monthly stipend, plus opportunities to participate in research projects, journal publications, and conference presentations. The final package will follow departmental and university policies.

To apply, email the PI with your CV/resume, unofficial transcript, TOEFL or IELTS score, brief statement of research interests, and any publications, conference papers, or research portfolio. In your email, mention your intended degree program, preferred starting semester, research interests, and relevant experience.

Starting terms mentioned are Fall 2026, Spring 2027, or Fall 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.

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors