Postdoctoral Researcher

University of Arkansas • Fayetteville, AR

1d • Onsite

About The Position

As a member of a multidisciplinary research team, the Postdoctoral Researcher will conduct research to advance novel machine learning and data harmonization approaches for water quality monitoring and assessment. Responsibilities include developing and validating computational methods to standardize and infer nutrient and sediment observations from existing datasets; evaluating impacts of expanded datasets on watershed-scale assessments; developing and maintaining open-source software tools and R packages; disseminating findings through publications and presentations; and collaborating with university and federal partners to improve national water quality science and decision support.

Regular, reliable, and non-disruptive attendance is an essential job duty, as is the ability to create and maintain collegial, harmonious working relationships with others.

Requirements

• Ph.D. in Biological Engineering, Agricultural Engineering, Environmental Engineering, Civil Engineering, Environmental Science, Hydrology, Data Science, Computer Science, Statistics, Geography, Water Resources, or a closely related field from an accredited institution of higher education

Nice To Haves

• Experience applying machine learning or artificial intelligence methods to environmental, hydrologic, or water quality datasets
• Strong computational background in statistical modeling, reproducible workflows, and large-scale data processing
• Experience with water quality, nutrient, sediment, watershed, or hydrologic datasets
• Experience developing, maintaining, and documenting open-source software tools or R packages
• Experience with geospatial analysis, environmental databases, and cloud or high-performance computing workflows
• Demonstrated record of peer-reviewed publications
• Experience collaborating with interdisciplinary teams and/or federal agencies (e.g., USGS)
• Familiarity with version control systems (Git/GitHub) and open science practices

Responsibilities

• Developing and validating computational methods to standardize and infer nutrient and sediment observations from existing datasets
• Evaluating impacts of expanded datasets on watershed-scale assessments
• Developing and maintaining open-source software tools and R packages
• Disseminating findings through publications and presentations
• Collaborating with university and federal partners to improve national water quality science and decision support

Benefits

• University contributions to health insurance
• University contributions to dental insurance
• University contributions to life insurance
• University contributions to disability insurance
• Tuition waivers for employees and their families
• 12 official holidays
• Immediate leave accrual
• Choice of retirement programs with university contributions ranging from 5 to 10% of employee salary

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree