Publisher
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Golmar Golmohammadi

1 month ago

Postdoctoral Position in Hydrology, AI, and Remote Sensing at University of Florida University of Florida in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

No specific funding details are provided in the announcement.

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Country

United States

University

University of Florida

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Where to contact

Official Email

Keywords

Computer Science
Environmental Science
Agriculture
Geography
Hydrology
Artificial Intelligence
Spatial Analysis
Earth Science
Earth Observation
Machine learning

About this position

The University of Florida, under the supervision of Assistant Professor Golmar Golmohammadi, is offering a postdoctoral opportunity in the fields of hydrology, water-quality modeling, artificial intelligence, and geospatial analysis. The position focuses on integrating advanced modeling techniques with decision-support tools for real-world environmental and agricultural applications. Research activities will involve the use of Earth observation data, UAVs, and in-situ measurements to address challenges in watershed hydrology and biogeochemistry.

Ideal candidates will have expertise in hydrology, environmental science, geography, or computer science, with a strong background in AI/ML and geospatial data analysis. The work environment encourages interdisciplinary collaboration and aims to develop innovative solutions for environmental monitoring and agricultural management. The University of Florida provides a vibrant research setting with access to state-of-the-art resources and a commitment to impactful research in environmental and agricultural sciences.

Applicants are expected to have a PhD in a relevant field and demonstrate experience with water-quality modeling, artificial intelligence or machine learning, and geospatial analysis using Earth observation, UAV, and in-situ data. A strong interest in applying these skills to environmental and agricultural challenges is highly desirable. Interested individuals are encouraged to contact Dr. Golmar Golmohammadi directly via email or LinkedIn to discuss the opportunity and share their qualifications.

Funding details

No specific funding details are provided in the announcement.

What's required

Applicants should have a PhD in hydrology, environmental science, geography, computer science, or a related field. Experience with water-quality modeling, artificial intelligence or machine learning, and geospatial analysis using Earth observation, UAV, and in-situ data is required. Strong interest in environmental and agricultural applications is preferred.

How to apply

Interested candidates should contact Golmar Golmohammadi directly via email at [email protected] or reach out through LinkedIn. Share your interest and relevant qualifications.

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