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Siddharth Saksena

9 months ago

PhD Position in Hydrology, AI, and Geospatial Science at Virginia Tech Virginia Tech in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

Country flag

Country

United States

University

Virginia Tech

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Keywords

Computer Science
Environmental Science
Geography
Hydrology
Artificial Intelligence
Python Programming
Geographical Science

About this position

Virginia Tech is seeking a motivated PhD student to join the #FLOODGEEKS group, starting Fall 2026, under the supervision of Assistant Professor Siddharth Saksena. The research focuses on the intersection of hydrology, artificial intelligence, and geospatial science, with a mission to advance flood prediction and watershed resilience. The position involves working with H&H modeling, Python, R, and GIS to develop innovative solutions for flood prediction and environmental challenges. The research group is based in Blacksburg, VA, and offers a collaborative environment at the forefront of environmental science and technology. Applicants should have a strong interest in hydrology, AI, and geospatial science, and experience with relevant tools and programming languages is desirable. The application deadline is January 23rd, 2026. For more information and to apply, visit the provided application link. This opportunity is ideal for students passionate about environmental science, computer science, and geography, aiming to contribute to impactful research in flood prediction and watershed management.

Funding details

Available

What's required

Applicants should be motivated and interested in hydrology, artificial intelligence, and geospatial science. Experience with H&H modeling, Python, R, and GIS is desirable. The position is for a PhD student starting Fall 2026. No specific GPA, language test, or degree requirements are mentioned.

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Professors

Assistant Professor

University Name
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United States

Research Interests

Anesthesiology

Cardiology

Circulatory Physiology

Canine Physiology

Fluid Management