Publisher
source

The University of Alabama

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Postdoctoral Fellow in Statistical Data Modelling for Water Systems and Hydrology The University of Alabama in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Paid postdoctoral appointment with a salary range of $54,000 to $67,500 annually. Initial appointment is for one year and may be renewed contingent on funding and performance for up to three years.

Deadline

Oct 20, 2026

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Country

United States

University

The University of Alabama

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Keywords

Computer Science
Environmental Science
Remote Sensing
Geography
Hydrology
Hydrogeology
Civil Engineering
Earth Science
Uncertainty Analysis
Groundwater Modeling
Geographical Science
Statistics
Statistical Modelling
ML

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About this position

Postdoctoral Fellow opportunity at The University of Alabama in Tuscaloosa, Alabama, United States, within the Alabama Water Institute (AWI) and the CONSERVE Research Group. The role is part of the CONSERVE Innovative Water Systems Program, working with university researchers, USDA Agricultural Research Service partners, and community/stakeholder collaborators on applied water research.

The project focuses on statistical data modelling, hydrology, hydrogeology, geospatial science, environmental science, and water resources. The fellow will develop statistical, geospatial, and AI-assisted models to characterize aquifer recharge, preferential flow pathways, contaminant transport, groundwater behavior, and decision-support tools. The work also integrates geophysical and environmental data to evaluate nature-based approaches to runoff control and soil moisture retention, with manuscript preparation and journal publication expected.

This is a paid postdoctoral appointment with a salary range of $54,000–$67,500. The initial appointment is for one year, with possible renewal contingent on funding and performance for up to three years.

Applicants must hold a PhD in hydrology, hydrogeology, civil or environmental engineering, geography/geospatial science, environmental science, or a closely related field, completed by the start date. Strong experience is sought in statistical modeling of large environmental datasets, spatial statistics/geostatistics, Bayesian or mixed-effects or time-series modeling, machine learning, uncertainty quantification, groundwater or hydrologic modeling, GIS/remote sensing, and programming in R and/or Python. Experience with high-performance computing, strong communication skills, collaboration, and a record of peer-reviewed publishing are also required. A valid U.S. driver's license is required.

The application closes on 2026-10-20. Apply through the university careers portal using the online application system.

Funding details

Paid postdoctoral appointment with a salary range of $54,000 to $67,500 annually. Initial appointment is for one year and may be renewed contingent on funding and performance for up to three years.

What's required

Applicants must have a PhD in hydrology, hydrogeology, civil or environmental engineering, geography/geospatial science, environmental science, or a closely related field, completed by the start of employment. Required skills include statistical modeling of large heterogeneous environmental datasets, spatial statistics/geostatistics, Bayesian, mixed-effects or time-series modeling, machine learning, uncertainty quantification, groundwater or hydrologic modeling, GIS/remote sensing, proficiency in R and/or Python, and experience in a high-performance computing environment. Strong written and verbal communication, interpersonal collaboration skills, and a demonstrated record of peer-reviewed publishing are required. A valid U.S. driver's license and ability to meet age/driving restrictions are also required.

How to apply

Apply through the University of Alabama careers portal using the Apply Now link. Submit the online application before the closing date and follow any prompts in the application system. For help or accommodations, contact Human Resources at [email protected] or (205) 348-7732.

More information can be found here

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