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The University of Alabama

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Postdoctoral Fellow in Statistical Data Modelling, Hydrology and Environmental Science The University of Alabama in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral appointment with a salary range of $54,000 to $67,500. Initial appointment is for one year and may be renewed for up to three years depending on funding availability and performance.

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
Statistics
Statistical Modelling
ML

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About this position

The University of Alabama is advertising a Postdoctoral Fellow position in the Alabama Water Institute (AWI), within the CONSERVE Research Group, in Tuscaloosa, Alabama, United States.

This postdoctoral project sits at the intersection of statistical modeling, geospatial analysis, AI-assisted modeling, hydrology, hydrogeology, groundwater modeling, and environmental science. The fellow will work with a research team and USDA Agricultural Research Service partners on the CONSERVE Innovative Water Systems Program to improve agricultural water use and watershed health in West Alabama, the Southeast, and the Lower Mississippi River Basin.

Research tasks include developing models to characterize aquifer recharge, preferential flow pathways, and contaminant transport; supporting groundwater modeling and decision-support tools; integrating geophysical and environmental data; and evaluating nature-based approaches to runoff control and soil moisture retention. The role also includes manuscript preparation and publication in refereed journals.

Eligibility highlights: applicants must hold a PhD in hydrology, hydrogeology, civil or environmental engineering, geography/geospatial science, environmental science, or a closely related field, and the doctorate must be completed by the start date. Strong experience with large environmental datasets, spatial statistics/geostatistics, Bayesian or time-series methods, machine learning, uncertainty quantification, GIS/remote sensing, and R/Python is expected. Experience with MODFLOW, MT3D, geophysical data, digital twins, or agricultural water management is preferred.

Funding: this is a salaried postdoctoral appointment with a pay range of $54,000 to $67,500. The initial term is one year, with possible renewal for up to three years depending on funding and performance.

Deadline: October 20, 2026 at 22:55 CDT.

Interested candidates should apply via the University of Alabama careers portal using the official job posting link.

Funding details

Full-time postdoctoral appointment with a salary range of $54,000 to $67,500. Initial appointment is for one year and may be renewed for up to three years depending on funding availability and performance.

What's required

PhD in hydrology, hydrogeology, civil or environmental engineering, geography/geospatial science, environmental science, or a closely related field; the doctorate must be completed by the start of employment. Applicants should have strong experience in 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, and proficiency in R and/or Python with high-performance computing. A valid U.S. driver's license is required, along with being at least 19 years old at hire and meeting acceptable motor vehicle report standards. Strong publication record, communication, collaboration, and independent work skills are preferred.

How to apply

Apply through the University of Alabama careers portal using the job posting. Review the full listing, prepare your CV and supporting materials, and submit before the deadline. Monitor the portal for any additional instructions or required documents.

More information can be found here

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