Funded PhD position
The primary opening is for a doctoral student supported through a funded assistantship, subject to admission, project fit, and formal university appointment.
Opportunities / Join the Lab
Funded PhD opportunity for Spring 2027 admission for students interested in AI-enabled water systems, hydrologic modeling, remote sensing, infrastructure resilience, and water equity.
Funded Doctoral Position
Build AI-enabled water systems research with real-world decision impact
The Abeshu Hydrosystems Intelligence Lab is seeking motivated PhD students interested in water systems, infrastructure, AI/ML, Earth-system modeling, hydrometeorological extremes, resilience, and water equity.
Fall 2026 review
Inquiries will be reviewed on a rolling basis in Fall 2026 for Spring 2027 admission. Earlier contact is helpful, especially for international applicants.
MS and undergraduate interest
The funded opening is PhD-focused. Motivated MS and undergraduate students may still inquire about future or project-based opportunities as the lab grows.
Potential Research Topics
Physics-informed machine learning for water systems
Earth observation and geospatial analytics
Hydrologic and Earth-system modeling
Infrastructure operations and adaptive decision support
Hydrometeorological extremes and compound risk
Water equity analytics and community resilience
Applicant Fit
Who should apply
Students from interdisciplinary backgrounds are encouraged to apply, including civil and environmental engineering, hydrology, geosciences, computer science, and related areas.
You are excited by water systems under change
Strong fits are interested in hydrology, infrastructure systems, Earth observations, AI, and decision support for real-world water systems.
You bring a strong technical base
- B.S. or M.S. in engineering, hydrology, computer science, or a related field
- Strong academic record
- Experience with Python, R, or Fortran
You have started building research judgment
- Interest in AI/ML, geospatial analysis, remote sensing, or hydrologic modeling
- Thesis, publication, presentation, report, or project experience
Application Path
Recommended application flow
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Send an inquiry email.
Email Dr. Guta Wakbulcho Abeshu in Fall 2026 before applying through official NMSU graduate admissions.
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Share a concise fit packet.
Include a CV, unofficial transcript, brief research-interest statement, and a writing sample, report, or publication if available.
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Apply formally if there is alignment.
Reference prior email communication in the formal NMSU application materials.
Email Details
Use a clear subject line
Email: gwabeshu@nmsu.edu
Prospective PhD Student - Spring 2027 - Abeshu Hydrosystems Intelligence Lab
Official Resources
NMSU graduate information
Students should follow official New Mexico State University graduate admission requirements. The CEE department recommends applying by October 1 for Spring admission, especially for international applicants.